GMAO Personnel
Dr. Rolf Reichle
Affiliation: National Aeronautics and Space Administration
Contact
Rolf Reichle
NASA Goddard Space Flight Center
Global Modeling and Assimilation Office
Mail Code 610.1
8800 Greenbelt Rd
Greenbelt, MD 20771, USA
Phone : +1 (301) 614-5693
E-mail: rolf DOT reichle AT nasa DOT gov
ORCID: 0000-0001-5513-0150
Publications
For citation information see Web Of Science ResearcherID (https://www.webofscience.com/wos/author/record/1077811/)[ Peer-reviewed | Book chapters | Other | Conference (invited) | Conference (contributed) | Theses ]
Peer-reviewed Journal Publications- Sehgal, V., B. P. Mohanty, and R. H. Reichle (2024), Rootzone Soil Moisture Dynamics Using Terrestrial Water-Energy Coupling, Geophysical Research Letters, 51, e2024GL110342, doi:10.1029/2024GL110342.
- Kim, Y., J. S. Kimball, N. Parazoo, X. Xu, A. Colliander, R. Reichle, J. Xiao, and X. Li (2024), Diagnosing spring onset across the North American Arctic-boreal region using complementary satellite environmental data records, Journal of Geophysical Research - Biogeosciences, 129, e2023JG007977, doi:10.1029/2023JG007977.
- Ayres, E., R. H. Reichle, A. Colliander, M. H. Cosh, and L. Smith (2024), Validation of Remotely Sensed and Modeled Soil Moisture at Forested and Unforested NEON Sites, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 14248-14264, doi:10.1109/JSTARS.2024.3430928.
- Crow, W. T., R. D. Koster, R. H. Reichle, F. Chen, and Q. Liu (2024), Neglect of potential seasonal streamflow forecasting skill in the United States National Water Model, Geophysical Research Letters, 51, e2023GL105649, doi:10.1029/2023GL105649.
- Reichle, R. H., Q. Liu, J. V. Ardizzone, W. T. Crow, G. J. M. De Lannoy, J. S. Kimball, and R. D. Koster (2023), IMERG Precipitation Improves the SMAP Level-4 Soil Moisture Product, Journal of Hydrometeorology, 24, 1699-1723, doi:10.1175/JHM-D-23-0063.1.
- Koster, R. D., Q. Liu, W. T. Crow, and R. H. Reichle (2023), Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow, Nature Communications, 14, 3545, doi:10.1038/s41467-023-39318-3.
- Reichle, R. H., S. Q. Zhang, J. Kolassa, Q. Liu, and R. Todling (2023), A Weakly-Coupled Land Surface Analysis With SMAP Radiance Assimilation Improves GEOS Medium-Range Forecasts of Near-Surface Air Temperature and Humidity, Quarterly Journal of the Royal Meteorological Society, 149, 1867-1889, doi:10.1002/qj.4486.
- Dibia, E., R. Reichle, J. Anderson, and X.-Z. Liang (2023), Non-Gaussian Ensemble Filtering and Adaptive Inflation for Soil Moisture Data
Assimilation, Journal of Hydrometeorology, 24, 1039-1053, doi:10.1175/JHM-D-22-0046.1.
- Feldman, A. F., D. J. Short Gianotti, J. Dong, R. Akbar, W. T. Crow, K. A. McColl, A. G. Konings, J. B. Nippert, S. J. Tumber-Dávila, N. M. Holbrook, F. E. Rockwell, R. L. Scott, R. H. Reichle, A. Chatterjee, J. Joiner, B. Poulter, and D. Entekhabi (2023), Remotely sensed soil moisture can capture dynamics relevant to plant water uptake, Water Resources Research, 59, e2022WR033814, doi:10.1029/2022WR033814.
- Massoud, E. C., L. Andrews, R. H. Reichle, A. Molod, J. Park, S. Ruehr, and M. Girotto (2023), Seasonal forecasting skill for the High Mountain Asia region in the Goddard Earth Observing System, Earth System Dynamics, 14, 147-171, doi:10.5194/esd-14-147-2023.
- Gruber, A., and R. Reichle (2022), Uncertainty Estimation for SMAP Level-1 Brightness Temperature Assimilation at Different Timescales, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 9127-9145, doi:10.1109/JSTARS.2022.3216213.
- Kumar, S. V., J. Kolassa, R. H. Reichle, and Coauthors (2022), An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space, Journal of Advances in Modeling Earth Systems, 14, e2022MS003259, doi:10.1029/2022MS003259.
- De Lannoy, G. J. M., and Coauthors (incl. R. H. Reichle) (2022), Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication, Frontiers in Water, 4, 981745, doi:10.3389/frwa.2022.981745.
- Crow, W. T., J. Dong, and R. H. Reichle (2022), Leveraging Pre-Storm Soil Moisture Estimates for Enhanced Land Surface Model Calibration in Ungauged Hydrologic Basins, Water Resources Research, 58, e2021WR031565, doi:10.1029/2021WR031565.
- Zhang, C., Z. Yang, H. Zhao, Z. Sun, L. Di, R. Bindlish, P.-W. Liu, A. Colliander, R. Mueller, W. Crow, R. H. Reichle, J. Bolten, and S. H. Yueh (2022), Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland, International Journal of Applied Earth Observation and Geoinformation, 112, 102902, doi:10.1016/j.jag.2022.102902.
- Zhang, Z., A. Chatterjee, L. Ott, R. H. Reichle, A. F. Feldman, and B. Poulter (2022), Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes Through Direct Inserting in a Land Surface Model, Remote Sensing, 14, 2405, doi:10.3390/rs14102405.
- Lee, E., R. D. Koster, L. Ott, J. Joiner, F.-W. Zeng, J. Kolassa, R. H. Reichle, K. Arsenault, A. Hazra, and S. Shukla (2022), Skillful Seasonal Forecasts of Land Carbon Uptake in Northern Mid- and High Latitudes, Geophysical Research Letters, 49, e2021GL097117, doi:10.1029/2021GL097117.
- Endsley, K. A., J. S. Kimball, and R. H. Reichle (2022), Soil respiration phenology improves modeled phase of terrestrial net ecosystem exchange in northern hemisphere, Journal of Advances in Modeling Earth Systems, 14, e2021MS002804, doi:10.1029/2021MS002804.
- Apers, S., G. J. M. De Lannoy, A. J. Baird, A. R. Cobb, G. C. Dargie, J. del Aguila Pasquel, A. Gruber, A. Hastie, H. Hidayat, T. Hirano, A. M. Hoyt, A. J. Jovani-Sancho, A. Katimon, A. Kurnain, R. D. Koster, M. Lampela, S. P. P. Mahanama, L. Melling, S. E. Page, R. H. Reichle, M. Taufik, J. Vanderborght, and M. Bechtold (2022), Tropical peatland hydrology simulated with a global land surface model, Journal of Advances in Modeling Earth Systems, 14, e2021MS002784, doi:10.1029/2021MS002784.
- Colliander, A., R. H. Reichle, W. T. Crow, M. H. Cosh, and Coauthors (2022), Validation of Soil Moisture Data Products from the NASA SMAP Mission, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 364-392, doi:10.1109/JSTARS.2021.3124743.
- Vincent, F., M. Maertens, M. Bechtold, E. Jobbágy, R. H. Reichle, V. Vanacker, J. Vrugt, J.-P. Wigneron, and G. J. M. De Lannoy (2022), L-Band Microwave Satellite Data and Model Simulations Over the Dry Chaco to Estimate Soil Moisture, Soil Temperature, Vegetation and Soil Salinity, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 6598-6614, doi:10.1109/JSTARS.2022.3193636.
- Brust, C., J. S. Kimball, M. P. Maneta, K. Jencso, and R. H. Reichle (2021), DroughtCast: A Machine Learning Forecast of the United States Drought Monitor, Frontiers in Big Data, 4, 114, doi:10.3389/fdata.2021.773478.
- Koster, R. D., Q. Liu, R. H. Reichle, and G. Huffman (2021), Improved Estimates of Pentad Precipitation through the Merging of Independent Precipitation Datasets, Water Resources Research, 57, e2021WR030330, doi:10.1029/2021WR030330.
- Reichle, R. H., S. Q. Zhang, Q. Liu, C. S. Draper, J. Kolassa, and R. Todling (2021), Assimilation of SMAP Brightness Temperature Observations in the GEOS Land-Atmosphere Data Assimilation System, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 10628-10643, doi:10.1109/JSTARS.2021.3118595.
- Wang, J., B. A. Forman, M. Girotto, and R. H. Reichle (2021), Estimating Terrestrial Snow Mass via Multi-sensor Assimilation of Synthetic AMSR-E Brightness Temperature Spectral Differences and Synthetic GRACE Terrestrial Water Storage Retrievals, Water Resources Research, 57, e2021WR029880, doi:10.1029/2021WR029880.
- Crow, W. T., R. H. Reichle, and J. Dong (2021), Expanding the application of soil moisture monitoring systems through regression-based transformation, Journal of Hydrometeorology, 22, 2601-2615, doi:10.1175/JHM-D-21-0061.1.
- Madani, N., N. Parazoo, J. S. Kimball, R. H. Reichle. A. Chatterjee, and Coauthors (2021), The Impacts of Climate and Wildfire on Ecosystem Gross Primary Productivity in Alaska, Journal of Geophysical Research - Biogeosciences, 126, e2020JG006078, doi:10.1029/2020JG006078.
- Neelam, M., R. Bindlish, P. O’Neill, G. J. Huffman, R. H. Reichle, S. Chan, and A. Colliander (2021), Evaluation of GEOS Precipitation Flagging for SMAP Soil Moisture Retrieval Accuracy, Journal of Hydrometeorology, 22, 1317-1332, doi:10.1175/JHM-D-20-0038.1.
- Girotto, M., R. H. Reichle, M. Rodell, and V. Maggioni (2021), Data Assimilation of Terrestrial Water Storage Observations to Estimate Precipitation Fluxes: A Synthetic Experiment, Remote Sensing, 13, 1223, doi:10.3390/rs13061223.
- Seo, E., M.-I. Lee, and R. H. Reichle (2021), Assimilation of SMAP and ASCAT Soil Moisture Retrievals into the JULES Land Surface Model Using the Local Ensemble Transform Kalman Filter, Remote Sensing of Environment, 253, 112222, doi:10.1016/j.rse.2020.112222.
- Felsberg, A., G. J. M. De Lannoy, M. Girotto, J. Poesen, R. H. Reichle, and T. Stanley (2021), Global soil water estimates as landslide predictor: the effectiveness of SMOS, SMAP and GRACE observations, land surface simulations and data assimilation, Journal of Hydrometeorology, 22, 1065-1084, doi:10.1175/JHM-D-20-0228.1.
- Reichle, R. H., and Coauthors (2021), The Contributions of Gauge-Based Precipitation and SMAP Brightness Temperature Observations to the Skill of the SMAP Level-4 Soil Moisture Product, Journal of Hydrometeorology, 22, 405-424, doi:10.1175/JHM-D-20-0217.1.
- Qiu, J., J. Dong, W. T. Crow, X. Zhang, R. H. Reichle, and G. J. M. De Lannoy (2021), The benefit of brightness temperature assimilation for the SMAP Level-4 surface and root-zone soil moisture analysis, Hydrology and Earth System Sciences, 25, 1569-1586, doi:10.5194/hess-25-1569-2021.
- Beck, H. E., M. Pan, D. G. Miralles, R. H. Reichle, and Coauthors (2021), Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors, Hydrology and Earth System Sciences, 25, 17-40, doi:10.5194/hess-25-17-2021.
- Peng, J., and Coauthors (incl. R. H. Reichle) (2021), A roadmap for high-resolution satellite soil moisture applications - confronting product characteristics with user requirements, Remote Sensing of Environment, 252, 112162, doi:10.1016/j.rse.2020.112162.
- Brust, C., J. S. Kimball, M. P. Maneta, K. Jencso, M. He, and R. H. Reichle (2021), Using SMAP Level-4 soil moisture to constrain MOD16 evapotranspiration over the contiguous USA, Remote Sensing of Environment, 255, 112277, doi:10.1016/j.rse.2020.112277.
- Madani, N., N. C. Parazoo, J. S. Kimball, A. P. Ballantyne, R. H. Reichle, M. Maneta, S. Saatchi, P. I. Palmer, Z. Liu, and T. Tagesson (2020), Recent Amplified Global Gross Primary Productivity Due to Temperature Increase is Offset by Reduced Productivity Due to Water Constraints, AGU Advances, 1, e2020AV000180, doi:10.1029/2020AV000180.
- Endsley, K. A., J. S. Kimball, R. H. Reichle, and J. D. Watts (2020), Satellite monitoring of global surface soil organic carbon dynamics using the SMAP Level 4 Carbon product, Journal of Geophysical Research - Biogeosciences, 125, e2020JG006100, doi:10.1029/2020JG006100.
- Kolassa, J., R. H. Reichle, R. D. Koster, Q. Liu, S. Mahanama, and F. Zeng (2020), An observation-driven approach to improve vegetation phenology in a global land surface model, Journal of Advances in Modeling Earth Systems, 12, e2020MS002083, doi:10.1029/2020MS002083.
- Li, X., J. Xiao, J. S. Kimball, R. H. Reichle, R. L. Scott, M. E. Litvak, G. Bohrer, and C. Frankenberg (2020), Synergistic use of SMAP and OCO-2 data in assessing the responses
of ecosystem productivity to the 2018 U.S. drought, Remote Sensing of Environment, 251, 112062, doi:10.1016/j.rse.2020.112062.
- Dong, J., W. T. Crow, and R. H. Reichle (2020), Improving rain/no-rain detection skill by merging precipitation estimates from different sources, Journal of Hydrometeorology, 21, 2419–2429, doi:10.1175/JHM-D-20-0097.1.
- Park, J., B. A. Forman, R. H. Reichle, G. J. M. De Lannoy, and S. B. Tarik (2020), Evaluation of GEOS-Simulated L-Band Microwave Brightness Temperature using Aquarius Observations over Non-Frozen Land across North America, Remote Sensing, 12, 3098, doi:10.3390/rs12183098.
- Bechtold, M., G. J. M. De Lannoy, R. H. Reichle, D. Roose, N. Balliston, I. Burdun, K. Devito, J. Kurbatova, M. Strack, and E. A. Zarov (2020), Improved Groundwater Table and L-band Brightness Temperature Estimates for Northern Hemisphere Peatlands Using New Model Physics and SMOS Observations in a Global Data Assimilation Framework, Remote Sensing of Environment, 246, 111805, doi:10.1016/j.rse.2020.111805.
- Gruber, A., and Coauthors (incl. R. H. Reichle) (2020), Validation practices for satellite soil moisture retrievals: What are (the) errors?, Remote Sensing of Environment, 244, 111806, doi:10.1016/j.rse.2020.111806.
- Madani, N., and Coauthors (incl. R. H. Reichle) (2020), Below-surface water mediates the response of African forests to reduced rainfall, Environmental Research Letters, 15, 034063, doi:10.1088/1748-9326/ab724a.
- Liu, Z., and Coauthors (incl. R. H. Reichle) (2020), Increased high‐latitude photosynthetic carbon gain offset by respiration carbon loss during an anomalous warm winter to spring transition, Global Change Biology, 26, 682-696, doi:10.1111/gcb.14863.
- Lievens, H., M. Demuzere, H.-P. Marshall, R. H. Reichle, and Coauthors (2019), Snow depth variability in the Northern Hemisphere mountains observed from space, Nature Communications, 10, 4629, doi:10.1038/s41467-019-12566-y.
- Reichle, R. H., and Coauthors (2019), Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product, Journal of Advances in Modeling Earth Systems, 11, 3106-3130, doi:10.1029/2019MS001729.
- Koster, R. D., R. H. Reichle, S. D. Schubert, and S. P. Mahanama (2019), Length Scales of Hydrological Variability as Inferred from SMAP Soil Moisture Retrievals, Journal of Hydrometeorology, 20, 2129-2146, doi:10.1175/JHM-D-19-0070.1.
- Crow, W. T., F. Chen, R. H. Reichle, and Y. Xia (2019), Diagnosing bias in modeled soil moisture/runoff coefficient correlation using the SMAP Level 4 soil moisture product, Water Resources Research, 55, 7010–7026, doi:10.1029/2019WR025245.
- Colliander, A., Z. Yang, R. Mueller, A. Sandborn, R. H. Reichle, W. Crow, D. Entekhabi, and S. Yueh (2019), Consistency between NASS Surveyed Soil Moisture Conditions and SMAP Soil Moisture Observations, Water Resources Research, 55, 7682–7693, doi:10.1029/2018WR024475.
- Tao, J., R. D. Koster, R. H. Reichle, B. A. Forman, Y. Xue, R. H. Chen, and M. Moghaddam (2019), Permafrost Variability over the Northern Hemisphere Based on the MERRA-2 Reanalysis, The Cryosphere, 13, 2087-2110, doi:10.5194/tc-13-2087-2019.
- Dong, J., W. Crow, R. H. Reichle, Q. Liu, F. Lei, and M. H. Cosh (2019), A Global Assessment of Added Value in the SMAP Level 4 Soil Moisture Product Relative to Its Baseline Land Surface Model, Geophysical Research Letters, 46, 6604-6613, doi:10.1029/2019GL083398.
- Quets, J., G. J. M. De Lannoy, A. Al Yaari, S. Chan, M. H. Cosh, A. Gruber, R. H. Reichle, R. Van der Schalie, J.-P. Wigneron (2019), Uncertainty in Soil Moisture Retrievals: An Ensemble Approach Using SMOS L-Band Microwave Data, Remote Sensing of Environment, 229, 133-147, doi:10.1016/j.rse.2019.05.008.
- Bechtold, M., G. J. M. De Lannoy, R. D. Koster, R. H. Reichle, S. P. Mahanama, and Coauthors (2019), PEAT-CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model, Journal of Advances in Modeling Earth Systems, 11, 2130-2162, doi:10.1029/2018MS001574.
- Girotto, M., R. H. Reichle, M. Rodell, Q. Liu, S. P. P. Mahanama, and G. J. M. De Lannoy (2019), Multi-sensor Assimilation of SMOS Brightness Temperature and GRACE Terrestrial Water Storage Observations for Soil Moisture and Shallow Groundwater Estimation, Remote Sensing of Environment, 227, 12-27, doi:10.1016/j.rse.2019.04.001.
- Draper, C. S., and R. H. Reichle (2019), Assimilation of satellite soil moisture for improved atmospheric reanalyses, Monthly Weather Review, 147, 2163–2188, doi:10.1175/MWR-D-18-0393.1.
- Balsamo, G., and Coauthors (incl. R. H. Reichle) (2018), Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review, Remote Sensing, 10, 2038, doi:10.3390/rs10122038.
- Joiner, J., Y. Yoshida, M. Anderson, T. Holmes, C. Hain, R. H. Reichle, R. Koster, E. Middleton, and F.-W. Zeng (2018), Global relationships among traditional reflectance vegetation indices (NDVI and NDII), evapotranspiration (ET), and soil moisture variability on weekly timescales, Remote Sensing of Environment, 219, 339-352, doi:10.1016/j.rse.2018.10.020.
- Crow, W. T., S. Milak, M. Moghaddam, A. Tabatabaeenejad, S. Jaruwatanadilok, X. Yu, Y. Shi, R. H. Reichle, Y. Hagimoto, and R. H. Cuenca (2018), Spatial and temporal variability of root-zone soil moisture acquired from hydrologic modeling and AirMOSS P-band radar, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 4578-4590, doi:10.1109/JSTARS.2018.2865251.
- Koster, R. D., W. T. Crow, R. H. Reichle, and S. P. P. Mahanama (2018), Estimating Basin-Scale Water Budgets with SMAP Soil Moisture Data, Water Resources Research, 54, 4228-4244, doi:10.1029/2018WR022669.
- Xue, Y., B. A. Forman, and R. H. Reichle (2018), Estimating Snow Mass in North America Through Assimilation of Advanced Microwave Scanning Radiometer Brightness Temperature Observations Using the Catchment Land Surface Model and Support Vector Machines, Water Resources Research, 54, 6488-6509, doi:10.1029/2017WR022219.
- Du, J., J. S. Kimball, R. H. Reichle, L. A. Jones, J. D. Watts, and Y. Kim (2018), Global Satellite Retrievals of the Near-Surface Atmospheric Vapor Pressure Deficit from AMSR-E and AMSR2, Remote Sensing, 10, 1175, doi:10.3390/rs10081175.
- Crow, W. T., F. Chen, R. H. Reichle, Y. Xia, and Q. Liu (2018), Exploiting soil moisture, precipitation and streamflow observations to evaluate soil moisture/runoff coupling in land surface models, Geophysical Research Letters, 45, 4869-4878, doi:10.1029/2018GL077193.
- Koster, R. D., Q. Liu, S. P. P. Mahanama, and R. H. Reichle (2018), Improved Hydrological Simulation Using SMAP Data: Relative Impacts of Model Calibration and Data Assimilation, Journal of Hydrometeorology, 19, 727-741, doi:10.1175/JHM-D-17-0228.1.
- Toure, A. M., R. H. Reichle, B. A. Forman, A. Getirana, and G. J. M. De Lannoy (2018), Assimilation of MODIS Snow Cover Fraction Observations into the NASA Catchment Land Surface Model, Remote Sensing, 10, 316, doi:10.3390/rs10020316.
- Du, J., J. S. Kimball, J. Galantowicz, S.-B. Kim, S. K. Chan, R. H. Reichle, L. A. Jones, and J. D. Watts (2018), Assessing global surface water inundation dynamics using combined satellite information from SMAP, AMSR2 and Landsat, Remote Sensing of Environment, 213, 1-17, doi:10.1016/j.rse.2018.04.054.
- Yi, Y., J. S. Kimball, R. H. Chen, M. Moghaddam, R. H. Reichle, U. Mishra, D. Zona, and W. C. Oechel (2018), Characterizing permafrost active layer dynamics and sensitivity to landscape spatial heterogeneity in Alaska, The Cryosphere, 12, 145-161, doi:10.5194/tc-12-145-2018.
- Kolassa, J., R. H. Reichle, Q. Liu, S. H. Alemohammad, P. Gentine, K. Aida, J. Asanuma, S. Bircher, T. Caldwell, A.
Colliander, M. Cosh, C. Holifield Collins, T. Jackson, K. H. Jensen, J. Martinez-Fernandez, H. McNairn, A. Pacheco, M. Thibeault, and J. Walker (2018), Estimating surface soil moisture from SMAP observations using a Neural Network technique, Remote Sensing of Environment, 204, 43-59, doi:10.1016/j.rse.2017.10.045.
- Draper, C. S., R. H. Reichle, and R. D. Koster (2018), Assessment of MERRA-2 Land Surface Energy Flux Estimates, Journal of Climate, 31, 671-691, doi:10.1175/JCLI-D-17-0121.1.
- Kolassa, J., R. H. Reichle, and Coauthors (2017), Data assimilation to extract soil moisture
information from SMAP observations, Remote Sensing, 9, 1179, doi:10.3390/rs9111179.
- Lievens, H., R. H. Reichle, Q. Liu, G. J. M. De Lannoy, R. S. Dunbar, S. B. Kim, N. N. Das, M. Cosh, J. P. Walker, and W. Wagner (2017), Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates, Geophysical Research Letters, 44, 6145-6153, doi:10.1002/2017GL073904.
- Tao, J., R. H. Reichle, R. D. Koster, B. A. Forman, and Y. Xue (2017), Evaluation and enhancement of permafrost modeling with the NASA Catchment Land Surface Model, Journal of Advances in Modeling Earth Systems, 9, 2771-2795, doi:10.1002/2017MS001019.
- Reichle, R. H., and Coauthors (2017), Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics, Journal of Hydrometeorology, 18, 3217-3237, doi:10.1175/JHM-D-17-0130.1.
- Reichle, R. H., and Coauthors (2017), Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ Measurements, Journal of Hydrometeorology, 18, 2621-2645, doi:10.1175/JHM-D-17-0063.1.
- Crow, W. T., F. Chen, R. H. Reichle, and Q. Liu (2017), L band microwave remote sensing and land data assimilation improve the representation of prestorm soil moisture conditions for hydrologic forecasting, Geophysical Research Letters, 44, 5495-5503, doi:10.1002/2017GL073642.
- Girotto, M., G. J. M. De Lannoy, R. H. Reichle, M. Rodell, C. Draper, S. N. Bhanja, and A. Mukherjee (2017), Benefits and pitfalls of GRACE data assimilation: A case study of terrestrial water storage depletion in India, Geophysical Research Letters, 44, 4107-4115, doi:10.1002/2017GL072994.
- Koster, R. D., R. H. Reichle, and S. P. Mahanama (2017), A Data-Driven Approach for Daily Real-Time Estimates and Forecasts of Near-Surface Soil Moisture, Journal of Hydrometeorology, 18, 837-843, doi:10.1175/JHM-D-16-0285.1.
- Jones, L. A., J. S. Kimball, R. H. Reichle, and Coauthors (2017), The SMAP Level 4 Carbon Product for Monitoring Ecosystem Land-Atmosphere CO2 Exchange, IEEE Transactions on Geosciences and Remote Sensing, 55, 6517-6532, doi:10.1109/TGRS.2017.2729343.
- Gelaro, R., and Coauthors (incl. R. H. Reichle) (2017), The Modern-Era Retrospective Analysis for Research and Applications, Version-2 (MERRA-2), Journal of Climate, 30, 5419-5454, doi:10.1175/JCLI-D-16-0758.1.
- Reichle, R. H., C. S. Draper, Q. Liu, M. Girotto, S. P. P. Mahanama, R. D. Koster, and G. J. M. De Lannoy (2017), Assessment of MERRA-2 land surface hydrology estimates, Journal of Climate, 30, 2937-2960, doi:10.1175/JCLI-D-16-0720.1.
- Reichle, R. H., Q. Liu, R. D. Koster, C. S. Draper, S. P. P. Mahanama, and G. S. Partyka (2017), Land surface precipitation in MERRA-2, Journal of Climate, 30, 1643-1664, doi:10.1175/JCLI-D-16-0570.1.
- Kolassa, J., R. H. Reichle, and C. S. Draper (2017), Merging active and passive microwave observations in soil moisture data assimilation, Remote Sensing of Environment, 191, 117-130, doi:10.1016/j.rse.2017.01.015.
- Lievens, H., B. Martens, N. E. C. Verhoest, S. Hahn, R. H. Reichle, and D. G. Miralles (2017), Assimilation of global radar backscatter and radiometer brightness temperature observations to improve soil moisture and land evaporation estimates, Remote Sensing of Environment, 189, 194-210, doi:10.1016/j.rse.2016.11.022.
- Chen, F., W. T. Crow, A. Colliander, M. Cosh, T. J. Jackson, R. Bindlish, R. H. Reichle, S. K. Chan, D. D. Bosch, P. J. Starks, D. C. Goodrich, M. Seyfried (2017), Application of Triple Collocation in Ground-based Validation of Soil Moisture Active/Passive (SMAP) Level 2 Data Products, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 489-502, doi:10.1109/JSTARS.2016.2569998.
- De Lannoy, G. J. M., and R. H. Reichle (2016), Assimilation of SMOS Brightness Temperatures or Soil Moisture Retrievals into a Land Surface Model, Hydrology and Earth System Sciences, 20, 4895-4911, doi:10.5194/hess-20-4895-2016.
- Su, C.-H., D. Ryu, W. Dorigo, S. Zwieback, A. Gruber, C. Albergel, R. H. Reichle, and W. Wagner (2016), Homogeneity of a global multisatellite soil moisture climate data record, Geophysical Research Letters, 43, 11,245-11,252, doi:10.1002/2016GL070458.
- Girotto, M., G. J. M. De Lannoy, R. H. Reichle, and M. Rodell (2016),
Assimilation of gridded terrestrial water storage observations from GRACE into a land surface model, Water Resources Research, 52, 4164-4183, doi:10.1002/2015WR018417.
- Kumar, S. V., B. F. Zaitchik, C. D. Peters-Lidard, M. Rodell, R. H. Reichle, B. Li, M. Jasinski, D. Mocko, A. Getirana, G. De Lannoy, M. Cosh, C. R. Hain, M. Anderson, K. R. Arsenault, Y. Xia, and M. Ek (2016), Assimilation of gridded GRACE terrestrial water storage estimates in the North American Land Data Assimilation System, Journal of Hydrometeorology, 17, 1951-1972, doi:10.1175/JHM-D-15-0157.1.
- De Lannoy, G. J. M., and R. H. Reichle (2016), Global Assimilation of Multiangle and Multipolarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation, Journal of Hydrometeorology, 17, 669-691, doi:10.1175/JHM-D-15-0037.1.
- Draper, C. S., and R. H. Reichle (2015), The impact of near-surface soil moisture assimilation at subseasonal, seasonal, and inter-annual time scales, Hydrology and Earth System Sciences, 19, 4831-4844, doi:10.5194/hess-19-4831-2015.
- Kumar, S. V., C. D. Peters-Lidard, J. A. Santanello, R. H. Reichle, C. S. Draper, R. D. Koster, G. Nearing, and M. F. Jasinski (2015), Evaluating the utility of satellite soil moisture retrievals over irrigated areas and the ability of land data assimilation methods to correct for unmodeled processes, Hydrology and Earth System Sciences, 19, 4463-4478, doi:10.5194/hess-19-4463-2015.
- De Lannoy, G. J. M., R. H. Reichle, J. Peng, Y. Kerr, R. Castro, E. J. Kim, and Q. Liu (2015), Converting Between SMOS and SMAP Level-1 Brightness Temperature Observations Over Nonfrozen Land, IEEE Geoscience and Remote Sensing Letters, 12, 1908-1912, doi:10.1109/LGRS.2015.2437612.
- Yoshida, Y., J. Joiner, C. J. Tucker, J. Berry, J.-E. Lee, G. K. Walker, R. H. Reichle, R. D. Koster, A. I. Lyapustin, and Y. Wang (2015), The 2010 Russian drought impact on satellite measurements of solar-induced chlorophyll fluorescence: Insights from modeling and comparisons with parameters derived from satellite reflectances, Remote Sensing of Environment, 166, 163-177, doi:10.1016/j.rse.2015.06.008.
- Farhadi, L., R. H. Reichle, G. J. M. De Lannoy, and J. S. Kimball (2015), Assimilation of Freeze/Thaw Observations into the NASA Catchment Land Surface Model, Journal of Hydrometeorology, 16, 730-743, doi:10.1175/JHM-D-14-0065.1.
- Draper, C. S., R. H. Reichle, G. J. M. De Lannoy, and B. Scarino (2015), A dynamic approach to addressing observation-minus-forecast mean differences in a land surface skin temperature data assimilation system, Journal of Hydrometeorology, 16, 449-464, doi:10.1175/JHM-D-14-0087.1.
- Forman, B. A., and R. H. Reichle (2015), Using a support vector machine and a land surface model to estimate large-scale passive microwave brightness temperatures over snow-covered land in North America, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 4431-4441, doi:10.1109/JSTARS.2014.2325780.
- Alyaari, A., J.-P. Wigneron, A. Ducharne, Y. H. Kerr, W. Wagner, G. De Lannoy, R. H. Reichle, A. Al-Bitar, W. Dorigo, P. Richaume, A. Mialon (2014), Global-scale comparison of passive (SMOS) and active (ASCAT) satellite based microwave soil moisture retrievals with soil moisture simulations (MERRA-Land), Remote Sensing of Environment, 152, 614-626, doi:10.1016/j.rse.2014.07.013.
- De Lannoy, G. J. M., R. D. Koster, R. H. Reichle, S. P. P. Mahanama, and Q. Liu (2014), An Updated Treatment of Soil Texture and Associated Hydraulic Properties in a Global Land Modeling System, Journal of Advances in Modeling Earth Systems, 6, 957-979, doi:10.1002/2014MS000330.
- Yi, Y., J. S. Kimball, and R. H. Reichle (2014), Spring Hydrology Determines Summer Net Carbon Uptake in Northern Ecosystems, Environmental Research Letters, 9, 064003, doi:10.1088/1748-9326/9/6/064003.
- De Lannoy, G. J. M., R. H. Reichle, and J. A. Vrugt (2014), Uncertainty Quantification of GEOS-5 L-Band Radiative Transfer Model Parameters using Bayesian Inference and SMOS Observations, Remote Sensing of Environment, 148, 146-157, doi:10.1016/j.rse.2014.03.030.
- Kumar, S. V., C. D. Peters-Lidard, D. Mocko, R. H. Reichle,
Y. Liu, K. R. Arsenault, Y. Xia, M. Ek, G. Riggs, B. Livneh, and M. Cosh (2014), Assimilation of remotely sensed soil moisture and snow depth
retrievals for drought estimation, Journal of Hydrometeorology, 15, 2446-2469, doi:10.1175/JHM-D-13-0132.1.
- Robertson, F. R., M. G. Bosilovich, J. B. Roberts, R. H. Reichle, R. Adler, L. Ricciardulli, W. Berg and G. J. Huffman (2014), Consistency of Estimated Global Water Cycle Variations Over the Satellite Era, Journal of Climate, 27, 6135-6154, doi:10.1175/JCLI-D-13-00384.1.
- Koster, R. D., G. K. Walker, S. P. P. Mahanama, and R. H. Reichle (2014), Soil Moisture Initialization Error and Subgrid Variability of Precipitation in Seasonal Streamflow Forecasting, Journal of Hydrometeorology, 15, 69-88, doi:10.1175/JHM-D-13-050.1.
- Reichle, R. H., G. J. M. De Lannoy, B. A. Forman, C. S. Draper, and Q. Liu (2014), Connecting Satellite Observations with Water Cycle Variables through Land Data Assimilation: Examples Using the NASA GEOS-5 LDAS, Surveys in Geophysics, 35, 577-606, doi:10.1007/s10712-013-9220-8.
- Wagner, W., L. Brocca, V. Naeimi, R. H. Reichle, C. S. Draper,
R. de Jeu, D. Ryu, C.-H. Su, A. Western, J.-C. Calvet, Y. H.
Kerr, D. J. Leroux, M. Drusch, T. J. Jackson,
S. Hahn, W. Dorigo, and C. Paulik (2014), Clarifications on the 'Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S.', IEEE Transactions on Geosciences and Remote Sensing, 52, 1901-1906, doi:10.1109/TGRS.2013.2282172.
- Forman, B. A., R. H. Reichle, and C. Derksen (2014), Estimating Passive Microwave Brightness Temperature Over Snow-Covered Land in North America Using a Land Surface Model and an Artificial Neural Network, IEEE Transactions on Geosciences and Remote Sensing, 52, 235-248, doi:10.1109/TGRS.2013.2237913.
- Forman, B. A., and R. H. Reichle (2013), The Spatial Scale of Model Errors and Assimilated Retrievals in a Terrestrial Water Storage Assimilation System, Water Resources Research, 49, 7457-7468, doi:10.1002/2012WR012885.
- Draper, C. S., R. H. Reichle, R. de Jeu, V. Naeimi, R. Parinussa, and W. Wagner (2013), Estimating root mean square errors in remotely sensed soil moisture over continental scale domains, Remote Sensing of Environment, 137, 288-298, doi:10.1016/j.rse.2013.06.013.
- Albergel, C., W. Dorigo, R. H. Reichle, G. Balsamo, P. de Rosnay, J. Munoz-Sabater, L. Isaksen, R. de Jeu, and W. Wagner (2013), Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing, Journal of Hydrometeorology, 14, 1259-1277, doi:10.1175/JHM-D-12-0161.1.
- Yi, Y., J. S. Kimball, L. A. Jones, R. H. Reichle, R. Nemani, and H. A. Margolis (2013), Recent climate and fire disturbance impacts on boreal and arctic ecosystem productivity estimated using a satellite-based terrestrial carbon flux model, Journal of Geophysical Research - Biogeosciences, 118, 1-17, doi:10.1002/jgrg.20053.
- Maggioni, V., R. H. Reichle, and E. N. Anagnostou (2013), The efficiency of assimilating satellite soil moisture retrievals in a land data assimilation system using different rainfall error models, Journal of Hydrometeorology, 14, 368-374, doi:10.1175/JHM-D-12-0105.1.
- De Lannoy, G. J. M, R. H. Reichle, and V. R. N. Pauwels (2013), Global Calibration of the GEOS-5 L-band Microwave Radiative Transfer Model over Nonfrozen Land Using SMOS Observations, Journal of Hydrometeorology, 14, 765-785, doi:10.1175/JHM-D-12-092.1.
- Scarino, B., P. Minnis, R. Palikonda, R. H. Reichle, D. Morstad, C. Yost, B. Shan, and Q. Liu (2013), Retrieving Clear-Sky Surface Skin Temperature for Numerical Weather Prediction Applications from Geostationary Satellite Data, Remote Sensing, 5, 342-366, doi:10.3390/rs5010342.
- Sahoo, A. K., G. J. M. De Lannoy, R. H. Reichle, and P. R. Houser (2013), Assimilation and Downscaling of Satellite Observed Soil Moisture over the Little River Experimental Watershed in Georgia, USA, Advances in Water Resources, 52, 19-33, doi:10.1016/j.advwatres.2012.08.007.
- Li, B., M. Rodell, B. F. Zaitchik, R. H. Reichle, R. D. Koster, and T. M. van Dam (2012), Assimilation of GRACE Terrestrial Water Storage into a Land Surface Model: Evaluation and Potential Value for Drought Monitoring in Western and Central Europe, Journal of Hydrology, 446-447, 103-115, doi:10.1016/j.jhydrol.2012.04.035.
- Maggioni, V., E. N. Anagnostou, and R. H. Reichle (2012), The impact of model and rainfall forcing errors on characterizing soil moisture uncertainty in land surface modeling, Hydrology and Earth System Sciences, 16, 3499-3515, doi:10.5194/hess-16-3499-2012.
- Draper, C. S., R. H. Reichle, G. J. M. De Lannoy, and Q. Liu (2012), Assimilation of passive and active microwave soil moisture retrievals, Geophysical Research Letters, 39, L04401, doi:10.1029/2011GL050655.
- Nearing, G. S., W. T. Crow, K. R. Thorp, M. S. Moran, R. H. Reichle, and H. V. Gupta (2012), Assimilating remote sensing observations of leaf area index and soil moisture for wheat yield estimates: An observing system simulation experiment, Water Resources Research, 48, W05525, doi:10.1029/2011WR011420.
- Maggioni, V., R. H. Reichle, and E. N. Anagnostou (2012), The impact of rainfall error characterization on the estimation of soil moisture fields in a land data assimilation system, Journal of Hydrometeorology, 13, 1107-1118, doi:10.1175/JHM-D-11-0115.1.
- Houborg, R., M. Rodell, B. Li, R. H. Reichle, and B. F. Zaitchik (2012), Drought Indicators Based on Model Assimilated GRACE Terrestrial Water Storage Observations, Water Resources Research, 48, W07525, doi:10.1029/2011WR011291.
- Forman, B. A., R. H. Reichle, and M. Rodell (2012), Assimilation of Terrestrial Water Storage from GRACE in a Snow-Dominated Basin, Water Resources Research, 48, W01507, doi:10.1029/2011WR011239.
- Mahanama, S. P. P., B. Livneh, R. D. Koster, D. Lettenmaier, and R. H. Reichle (2012), Soil Moisture, Snow, and Seasonal Streamflow Forecasts in the United States, Journal of Hydrometeorology, 13, 189-203, doi:10.1175/JHM-D-11-046.1.
- De Lannoy, G. J. M., R. H. Reichle, K. R. Arsenault, P. R. Houser,
S. V. Kumar, N. E. C. Verhoest, and V. R. N. Pauwels (2012), Multi-Scale Assimilation of AMSR-E Snow Water Equivalent and MODIS Snow Cover Fraction in Northern Colorado, Water Resources Research, 48, W01522, doi:10.1029/2011WR010588.
- Holmes, T. R. J., T. J. Jackson, R. H. Reichle, and J. Basara (2012), An Assessment of Surface Soil Temperature Products from Numerical Weather Prediction Models Using Ground-based Measurements, Water Resources Research, 48, W02531, doi:10.1029/2011WR010538.
- Kumar, S. V., R. H. Reichle, K. W. Harrison, C. D. Peters-Lidard, S. Yatheendradas, and J. A. Santanello (2012), A comparison of methods for a priori bias correction in soil moisture data assimilation, Water Resources Research, 48, W03515, doi:10.1029/2010WR010261.
- Rienecker, M. M., and Coauthors (incl. R. H. Reichle) (2011), MERRA - NASA's Modern-Era Retrospective Analysis for Research and Applications, Journal of Climate, 24, 3624-3648, doi:10.1175/JCLI-D-11-00015.1.
- Reichle, R. H., R. D. Koster, G. J. M. De Lannoy, B. A. Forman, Q. Liu, S. P. P. Mahanama, and A. Toure (2011), Assessment and enhancement of MERRA land surface hydrology estimates, Journal of Climate, 24, 6322-6338, doi:10.1175/JCLI-D-10-05033.1.
- Mueller, B., and Coauthors (incl. R. H. Reichle) (2011), Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations, Geophysical Research Letters, 38, L06402, doi:10.1029/2010GL046230.
- Liu, Q., R. H. Reichle, R. Bindlish, M. H. Cosh, W. T. Crow, R. de Jeu, G. J. M. De Lannoy, G. J. Huffman, and T. J. Jackson (2011), The contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system, Journal of Hydrometeorology, 12, 750-765, doi:10.1175/JHM-D-10-05000.1.
- Yi, Y., J. Kimball, L. Jones, R. H. Reichle, and K. McDonald (2011), Evaluation of MERRA land surface estimates in preparation for the Soil
Moisture Active Passive mission, Journal of Climate, 24, 3797-3816, doi:10.1175/2011JCLI4034.1.
- Maggioni, V., R. H. Reichle, and E. N. Anagnostou (2011), The effect of satellite-rainfall error modeling on soil moisture prediction uncertainty, Journal of Hydrometeorology, 12, 413-428, doi:10.1175/2011JHM1355.1.
- Jimenez, C., and Coauthors (incl. R. H. Reichle) (2011), Global inter-comparison of 12 land surface heat flux estimates, Journal of Geophysical Research - Atmospheres, 116, D02102, doi:10.1029/2010JD014545.
- Reichle, R. H., S. V. Kumar, S. P. P. Mahanama, R. D. Koster,
and Q. Liu (2010), Assimilation of satellite-derived skin temperature observations into land surface models, Journal of Hydrometeorology, 11, 1103-1122, doi:10.1175/2010JHM1262.1.
- Koster, R. D., S. P. P. Mahanama, B. Livneh, D. Lettenmaier, and R. H. Reichle (2010), Skill in Streamflow Forecasts Derived from Large-Scale Estimates of Soil Moisture and Snow, Nature Geoscience, 3, 613-616, doi:10.1038/ngeo944.
- Entekhabi, D., R. H. Reichle, R. D. Koster, and W. T. Crow (2010), Performance Metrics for Soil Moisture Retrievals and Application Requirements, Journal of Hydrometeorology, 11, 832-840, doi:10.1175/2010JHM1223.1.
- Entekhabi, D., and Coauthors (incl. R. H. Reichle) (2010), The Soil Moisture Active and Passive (SMAP) Mission, Proceedings of the IEEE, 98, 704-716, doi:10.1109/JPROC.2010.2043918.
- De Lannoy, G. J. M., R. H. Reichle, P. R. Houser,
K. R. Arsenault, N. E. C. Verhoest, and V. R. N. Pauwels (2010), Satellite-Scale Snow Water Equivalent Assimilation into a
High-Resolution Land Surface Model, Journal of Hydrometeorology, 11, 352-369, doi:10.1175/2009JHM1192.1.
- Tedesco, M., R. H. Reichle, A. Loew, T. Markus, and J. L. Foster (2010), Dynamic Approaches for Snow Depth Retrieval From
Spaceborne Microwave Brightness Temperature, IEEE Transactions on Geosciences and Remote Sensing, 48, 1955-1967, doi:10.1109/TGRS.2009.2036910.
- Kumar, S. V., R. H. Reichle, R. D. Koster, W. T. Crow, and C. D. Peters-Lidard (2009), Role of subsurface physics in the assimilation of surface soil moisture observations, Journal of Hydrometeorology, 10, 1534-1547, doi:10.1175/2009JHM1134.1.
- Kumar, S., C. Peters-Lidard, Y. Tian, R. Reichle, J. Geiger, C. Alonge, J. Eylander, and P. Houser (2008), An integrated hydrologic modeling and data assimilation framework, IEEE Computer, 41, 52-59, doi:10.1109/MC.2008.511.
- Reichle, R. H., W. T. Crow, R. D. Koster, H. Sharif, and S. P. P. Mahanama (2008), Contribution of soil moisture retrievals to land data assimilation products, Geophysical Research Letters, 35, L01404, doi:10.1029/2007GL031986.
- Reichle, R. H., W. T. Crow, and C. L. Keppenne (2008), An adaptive ensemble Kalman filter for soil moisture data assimilation, Water Resources Research, 44, W03423, doi:10.1029/2007WR006357.
- Crow, W. T. and R. H. Reichle (2008), Comparison of adaptive filtering techniques for land surface data assimilation, Water Resources Research, 44, W08423, doi:10.1029/2008WR006883.
- Reichle, R. H. (2008), Data Assimilation Methods in the Earth Sciences, Advances in Water Resources, 31, 1411-1418, doi:10.1016/j.advwatres.2008.01.001.
- Mahanama, S. P. P., R. D. Koster, R. H. Reichle, and L. Zubair (2008), The Role of Soil Moisture Initialization in Sub-seasonal and Seasonal Streamflow Prediction - A Case Study in Sri Lanka, Advances in Water Resources, 31, 1333-1343, doi:10.1016/j.advwatres.2008.06.004.
- Koster, R. D., T. L. Bell, R. H. Reichle, M. J. Suarez, and S. D. Schubert (2008), Using Observed Spatial Correlation Structures to Increase the Skill of Subseasonal Forecasts, Monthly Weather Review, 136, 1923-1939, doi:10.1175/2007MWR2255.1.
- Kumar, S. V., R. H. Reichle, C. D. Peters-Lidard, R. D. Koster, X. Zhan, W. T. Crow, J. B. Eylander, and P. R. Houser (2008), A Land Surface Data Assimilation Framework using the Land Information System: Description and Applications, Advances in Water Resources, 31, 1419-1432, doi:10.1016/j.advwatres.2008.01.013.
- Zaitchik, B. F., M. Rodell, and R. H. Reichle (2008), Assimilation of GRACE terrestrial water storage data into a land surface model: Results for the Mississippi River basin, Journal of Hydrometeorology, 9, 535-548, doi:10.1175/2007JHM951.1.
- Mahanama, S. P. P., R. D. Koster, R. H. Reichle, and M. J. Suarez (2008), Impact of Subsurface Temperature Variability on Surface Air Temperature Variability: An AGCM Study, Journal of Hydrometeorology, 9, 804-815, doi:10.1175/2008JHM949.1.
- Reichle, R. H., R. D. Koster, P. Liu, S. P. P. Mahanama, E. G. Njoku, and M. Owe (2007), Comparison and assimilation of global soil moisture retrievals from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) and the Scanning Multichannel Microwave Radiometer (SMMR), Journal of Geophysical Research - Atmospheres, 112, D09108, doi:10.1029/2006JD008033.
- De Lannoy, G. J. M., R. H. Reichle, P. R. Houser, V. R. N. Pauwels, and N. E. C. Verhoest (2007), Correcting for Forecast Bias in Soil Moisture Assimilation with the Ensemble Kalman Filter, Water Resources Research, 43, W09410, doi:10.1029/2006WR005449.
- Crow, W. T., D. Entekhabi, R. D. Koster, and R. H. Reichle (2006), Multiple Spaceborne Water Cycle Observations Would Aid Modeling, EOS American Geophysical Union, 87, 149,153, doi:10.1029/2006EO150002.
- Crow, W. T., R. D. Koster, R. H. Reichle, and H. Sharif (2005), Relevance of time-varying and time-invariant retrieval error sources on the utility of spaceborne soil moisture products, Geophysical Research Letters, 32, L24405, doi:10.1029/2005GL024889.
- Reichle, R. H. and R. D. Koster (2005), Global assimilation of satellite surface soil moisture retrievals into the NASA Catchment land surface model, Geophysical Research Letters, 32, L02404, doi:10.1029/2004GL021700.
- Berg, A. A., J. S. Famiglietti, M. Rodell, R. H. Reichle, U. Jambor, S. L. Holl, and P. R. Houser (2005), Development of a Hydrometeorological Forcing Data Set for Global Soil Moisture Estimation, International Journal of Climatology, 25, 1697-1714, doi:10.1002/joc.1203.
- Reichle, R. H. and R. D. Koster (2004), Bias reduction in short records of satellite soil moisture, Geophysical Research Letters, 31, L19501, doi:10.1029/2004GL020938.
- Koster, R. D., M. J. Suarez, P. Liu, U. Jambor, A. A. Berg, M. Kistler, R. H. Reichle, M. Rodell, and J. Famiglietti (2004), Realistic Initialization of Land Surface States: Impacts on Subseasonal Forecast Skill, Journal of Hydrometeorology, 5, 1049-1063, doi:10.1175/JHM-387.1.
- Reichle, R. H., R. D. Koster, J. Dong, and A. A. Berg (2004), Global Soil Moisture from Satellite Observations, Land Surface Models, and Ground Data: Implications for Data Assimilation, Journal of Hydrometeorology, 5, 430-442.
- Walker, J. P., P. R. Houser, and R. H. Reichle (2003), New Remote Sensing Technologies Require Advances in Hydrologic Data Assimilation, EOS American Geophysical Union, 84, 545,551, doi:10.1029/2003EO490002.
- Reichle, R. H. and R. D. Koster (2003), Assessing the impact of horizontal error correlations in background fields on soil moisture estimation, Journal of Hydrometeorology, 4, 1229-1242.
- Reichle, R. H., J. P. Walker, R. D. Koster, and P. R. Houser (2002), Extended vs. Ensemble Kalman Filtering for Land Data Assimilation, Journal of Hydrometeorology, 3, 728-740.
- Reichle, R. H., D. B. McLaughlin, and D. Entekhabi (2002), Hydrologic data assimilation with the Ensemble Kalman filter, Monthly Weather Review, 130, 103-114.
- Reichle, R. H., D. Entekhabi, and D. B. McLaughlin (2001), Downscaling of radio brightness measurements for soil moisture estimation: A four-dimensional variational data assimilation approach, Water Resources Research, 37, 2353-2364, doi:10.1029/2001WR000475.
- Reichle, R. H., D. B. McLaughlin, and D. Entekhabi (2001), Variational data assimilation of microwave radiobrightness observations for land surface hydrology applications, IEEE Transactions on Geosciences and Remote Sensing, 39, 1708-1718, doi:10.1109/36.942549.
- Reichle, R. H., W. Kinzelbach, and H. Kinzelbach (1998), Effective parameters in heterogeneous and homogeneous transport models with kinetic sorption, Water Resources Research, 34, 583-594, doi:10.1029/97WR03518.
- De Lannoy, G. J. M., P. de Rosnay, and R. H. Reichle (2016), Soil Moisture Data Assimilation, In: Handbook of Hydrometeorological Ensemble Forecasting, edited by Q. Duan, F. Pappenberger, J. Thielen, A. Wood, H. L. Cloke, and J. C. Schaake, Springer Verlag, 1-43, Springer Verlag, New York, doi:10.1007/978-3-642-40457-3_32-1.
- Reichle, R. H., M. G. Bosilovich, W. T. Crow, R. D. Koster, S. V. Kumar, S. P. P. Mahanama, and B. F. Zaitchik (2009), Recent Advances in Land Data Assimilation at the NASA Global Modeling and Assimilation Office, In: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, edited by Seon K. Park and Liang Xu, 407-428, Springer Verlag, New York, doi:10.1007/978-3-540-71056-1.
- Sullivan, J. T., T. F. Hanisco, T. J. Lang, W. McCarty, N. S. Vinogradova, J. K. Shuman, M. J. Falkowski, J. Favors, N. G. Loeb, H. Maring, R. O. Green, Earth Science Data and Information Systems Team, R. H. Reichle, M. E. Mcgroddy, M. Khan, and J. Kaye (2024), NASA Research and Data Product Highlight, Coordination Group for Meteorological Satellites Plenary 52 Working Group II Report, 44pp.
- Endsley, K. A., J. S. Kimball, T. Kundig, R. H. Reichle, and J. V. Ardizzone (2023), Validation Assessment for the Soil Moisture Active Passive (SMAP) Level 4 Carbon (L4_C) Data Product Version 7, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2023-104606, Vol. 65, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 41pp.
- Reichle, R. H., Q. Liu, J. V. Ardizzone, M. Bechtold, W. T. Crow, G. J. M. De Lannoy, J. S. Kimball, and R. D. Koster (2023), Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 7 of the L4_SM Data Product, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2023-104606, Vol. 64, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 87pp.
- Endsley, K. A., J. Glassy, J. S. Kimball, L. A. Jones, R. H. Reichle, J. V. Ardizzone, G.-K. Kim, R. A. Lucchesi, E. B. Smith, and B. H. Weiss (2022), Soil Moisture Active Passive (SMAP) Mission Level 4 Carbon (L4_C) Product Specification Document, NASA GMAO Office Note, No. 11 (Version 2.2), National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 71pp.
- Reichle, R. H., J. V. Ardizzone, G.-K. Kim, R. A. Lucchesi, E. B. Smith, and B. H. Weiss (2022), Soil Moisture Active Passive (SMAP) Mission Level 4 Surface and Root Zone Soil Moisture (L4_SM) Product Specification Document, NASA GMAO Office Note, No. 10 (Version 1.6), National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 84pp.
- Kimball, J. S., K. A. Endsley, T. Kundig, J. Glassy, R. H. Reichle, and J. V. Ardizzone (2022), Validation Assessment for the Soil Moisture Active Passive (SMAP) Level 4 Carbon (L4_C) Data Product Version 6, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2022-104606, Vol. 61, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 41pp.
- Reichle, R. H., Q. Liu, R. D. Koster, J. V. Ardizzone, A. Colliander, W. T. Crow, G. J. M. De Lannoy, and J. S. Kimball (2022), Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 6 of the L4_SM Data Product, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2022-104606, Vol. 60, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 68pp.
- Reichle, R. H., and Q. Liu (2021), Observation-Corrected Precipitation for the SMAP Level 4 Soil Moisture (Version 6) Product and the GEOS R21C Reanalysis, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 59, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 28pp.
- Endsley, K. A., J. Glassy, J. S. Kimball, L. A. Jones, R. H. Reichle, J. V. Ardizzone, G.-K. Kim, R. A. Lucchesi, E. B. Smith, and B. H. Weiss (2021), Soil Moisture Active Passive (SMAP) Mission Level 4 Carbon (L4_C) Product Specification Document, NASA GMAO Office Note, No. 11 (Version 2.1), National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 69pp.
- Reichle, R. H., Q. Liu, R. D. Koster, J. V. Ardizzone, A. Colliander, W. T. Crow, G. J. M. De Lannoy, and J. S. Kimball (2021), Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 5 of the L4_SM Data Product, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 58, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 56pp.
- Kimball, J. S., K. A. Endsley, T. Kundig, J. Glassy, R. H. Reichle, and J. V. Ardizzone (2021), Validation Assessment for the Soil Moisture Active Passive (SMAP) Level 4 Carbon (L4_C) Data Product Version 5, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 56, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 19pp.
- Montzka, C., and Coauthors (incl. R. H. Reichle) (2020), Soil Moisture Product Validation Good Practices Protocol Version 1.0., In: Good Practices for Satellite Derived Land Product Validation, Land Product Validation Subgroup (WGCV/CEOS), edited by C. Montzka, M. Cosh, J. Nickeson, F. Camacho, 123 pp, doi:10.5067/doc/ceoswgcv/lpv/sm.001.
- Reichle, R. H., Q. Liu, R. D. Koster, J. V. Ardizzone, A. Colliander, W. T. Crow, G. J. M. De Lannoy, and J. S. Kimball (2018), Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 4 of the L4_SM Data Product, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2018-104606, Vol. 52, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 67pp.
- Reichle, R. H., J. V. Ardizzone, G.-K. Kim, R. A. Lucchesi, E. B. Smith, and B. H. Weiss (2018), Soil Moisture Active Passive (SMAP) Mission Level 4 Surface and Root Zone Soil Moisture (L4_SM) Product Specification Document, NASA GMAO Office Note, No. 10 (Version 1.5), National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 83pp.
- Wagner, W., T. J. Jackson, J. J. Qu, R. de Jeu, N. Rodriguez-Fernandez, R. H. Reichle, L. Brocca, and W. Dorigo (2017), Fourth Satellite Soil Moisture Validation and Application Workshop, GEWEX News, 28 (4), 13-14.
- Kimball, J. S., L. A. Jones, J. Glassy, E. N. Stavros, N. Madani, R. H. Reichle, T. Jackson, and A. Colliander (2016), Soil Moisture Active Passive Mission L4_C Data Product Assessment (Version 2 Validated Release), NASA GMAO Office Note, No. 13 (Version 1.0), National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 37pp.
- Reichle, R. H., G. J. M. De Lannoy, Q. Liu, J. V. Ardizzone, F. Chen, A. Colliander, A. Conaty, W. Crow, T. Jackson, J. Kimball, R. D. Koster, and E. B. Smith (2016), Soil Moisture Active Passive Mission L4_SM Data Product Assessment (Version 2 Validated Release), NASA GMAO Office Note, No. 12 (Version 1.0), National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 55pp.
- Glassy, J., J. S. Kimball, L. A. Jones, R. H. Reichle, J. V. Ardizzone, G.-K. Kim, R. A. Lucchesi, E. B. Smith, and B. H. Weiss (2016), Soil Moisture Active Passive (SMAP) Mission Level 4 Carbon (L4_C) Product Specification Document, NASA GMAO Office Note, No. 11 (Version 2.0), National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 69pp.
- Reichle, R. H., G. De Lannoy, Q. Liu, and J. Ardizzone (2016), SMAP Data Assimilation at the GMAO, Joint Center for Satellite Data Assimilation Quarterly Newsletter, 53, 1-5, doi:10.7289/V50C4SS7.
- Bosilovich, M. G., S. Akella, L. Coy, R. Cullather, C. Draper, R. Gelaro, R. Kovach, Q. Liu, A. Molod, P. Norris, K. Wargan, W. Chao, R. Reichle, L. Takacs, Y. Vikhliaev, S. Bloom, A. Collow, S. Firth, G. Labow, G. Partyka, S. Pawson, O. Reale, S. D. Schubert, and M. Suarez (2015), MERRA-2: Initial Evaluation of the Climate, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2015-104606, Vol. 43, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 139pp.
- Kimball, J. S., L. A. Jones,J. Glassy, E. N. Stavros, N. Madani, R. H. Reichle, T. Jackson, and A. Colliander (2015), Soil Moisture Active Passive (SMAP) Project Calibration and Validation for the L4_C Beta-Release Data Product, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2015-104606, Vol. 42, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 37pp.
- Reichle, R. H., G. J. M. De Lannoy, Q. Liu, A. Colliander, A. Conaty, T. Jackson, J. Kimball, and R. D. Koster (2015), Soil Moisture Active Passive (SMAP) Project Assessment Report for the Beta-Release L4_SM Data Product, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2015-104606, Vol. 40, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 63pp.
- Mahanama, S. P., R. D. Koster, G. K. Walker, L. L. Takacs, R. H. Reichle, G. De Lannoy, Q. Liu, B. Zhao, and M. J. Suarez (2015), Land Boundary Conditions for the Goddard Earth Observing System Model Version 5 (GEOS-5) Climate Modeling System - Recent Updates and Data File Descriptions, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2015-104606, Vol. 39, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 55pp.
- Reichle, R. H., J. V. Ardizzone, G.-K. Kim, R. A. Lucchesi, E. B. Smith, and B. H. Weiss (2015), Soil Moisture Active Passive (SMAP) Mission Level 4 Surface and Root Zone Soil Moisture (L4_SM) Product Specification Document, NASA GMAO Office Note, No. 10 (Version 1.4), National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 82pp.
- Reichle, R. H., and Q. Liu (2014), Observation-Corrected Precipitation Estimates in GEOS-5, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2014-104606, Vol. 35, National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 18pp.
- Entekhabi, D., and Coauthors (incl. R. H. Reichle) (2014), SMAP Handbook, JPL Publication, JPL 400-1567, NASA Jet Propulsion Laboratory, Pasadena, California, USA, 192 pp.
- Reichle, R. H. (2012), The MERRA-Land Data Product, NASA GMAO Office Note, No. 3 (Version 1.2), National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, Maryland, USA, 38pp.
- Holmes, T. R. H., W. T. Crow, T. J. Jackson, R. A. M. de Jeu, R. H. Reichle, and M. H. Cosh (2012), Assessment of soil moisture retrieval with numerical weather prediction model temperatures, In: IAHS Red Book Publication no. 352 (peer-reviewed), Remote Sensing and Hydrology, edited by C. M. U. Neale and M. H. Cosh, pp. 3-6, IAHS Press, Wallingford, UK.
- Rienecker, M., R. Gelaro, S. Pawson, R. H. Reichle, and W. McCarty (2011), The Global Observing System in the Assimilation Context, ECMWF Seminar on Data Assimilation for Atmosphere and Ocean, 6-9 September 2011, 71-80.
- Eylander, J., C. D. Peters-Lidard, D. Hall, J. Foster, R. Reichle, and S. Kumar (2008), Air Force Weather Agency Land Information System and Snow Analysis Model, Joint Center for Satellite Data Assimilation Quarterly Newsletter, 24, 1-2.
- Reichle, R. H. and R. D. Koster (2002), Land data assimilation with the Ensemble Kalman Filter: Assessing model error parameters using innovations, In: Developments in Water Science - Computational Methods in Water Resources, 47(2), Eds. S. M. Hassanizadeh, R. J. Schotting, W. G. Gray, and G. F. Pinder, pp 1387-1394, Elsevier, New York, USA.
- Reichle, R. H., D. B. McLaughlin, and D. Entekhabi (2000), Variational data assimilation of soil moisture and temperature from remote sensing observations, In: IAHS Red Book Publication no. 265 (peer-reviewed), Calibration and Reliability in Groundwater Modelling: Coping with Uncertainty, edited by F. Stauffer et al., 353-359, IAHS Press, Wallingford, UK.
- Reichle, R. H., E. C. Dibia, J. L. Anderson, and X.-Z. Liang (2024), Non-Gaussian Ensemble Filtering and Adaptive Inflation for Soil Moisture Data Assimilation, Invited Presentation, AGU Fall Meeting, Washington, DC, USA.
- Reichle, R. (2023), The Land Surface in Earth System Reanalysis, Invited Presentation, ECMWF Annual Seminar on Earth System Reanalysis, Reading, UK.
- De Lannoy, G., S. Apers, R. H. Reichle, R. Koster, and M. Bechtold (2022), Assimilating passive microwave data from SMOS and SMAP to improve groundwater estimates in boreal and tropical peatlands, Invited Presentation, Sixth Satellite Soil Moisture Validation and Application Workshop, Perugia, Italy.
- Reichle, R. H. (2022), Land Surface Hydrology in Earth System Reanalysis, Invited Presentation, US CLIVAR Workshop on Future US Earth System Reanalysis, Boulder, CO, USA .
- Kolassa, J., R. Reichle, R. Koster, F. Zeng, Q. Liu, and S. Mahanama (2021), Land Observations for Model Calibration and Data Assimilation, Invited Presentation, ECMWF Annual Seminar, Online.
- De Lannoy, G., M. Bechtold, I. Brangers, S. de Roos, A. Felsberg, Z. Heyvaert, S. Kumar,
H. Lievens, C. Massari, S. Modanesi, and R. Reichle (2021), Earth observations and their integration in land surface modeling, Invited Presentation, 6th Conference on Modelling Hydrology, Climate and Land Surface Processes by the Norwegian Hydrological Council, Lillehammer, Norway.
- Reichle, R. H. (2020), Remote sensing and assimilation of soil moisture and terrestrial water storage at the global scale, Invited Presentation, Keynote Address, 27th Meeting of the German Association for Hydrogeology – Cancelled because of global SARS-CoV-2 pandemic.
- Bechtold, M., G. De Lannoy, R. H. Reichle, D. Roose, N. Balliston, I. Burdun, K. Devito, M. Grygoruk, J. Kurbatova, T. M. Munir, E. A. Zarov (2019), Assimilation of L-band Brightness Temperatures into a Global Land Surface Model to Improve Groundwater Table Estimates in Northern Peatlands, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Kumar, S. V., C. D. Peters-Lidard, D. M. Mocko, R. H. Reichle, J. A. Santanello, M. Rodell, M. Navari, and M. F. Jasinski (2018), Progress, challenges and gaps in continental and global-scale land data assimilation, Invited Presentation, AGU Fall Meeting, Washington, DC, USA.
- Reichle, R. H., Q. Liu, G. J. M. De Lannoy, W. T. Crow, J. S. Kimball, R. D. Koster, and J. V. Ardizzone (2018), Using Data Assimilation Diagnostics to Assess the SMAP Level-4 Soil Moisture Product, Invited Presentation, International Conference on Terrestrial Systems Research: Monitoring, Prediction and High Performance Computing, Bonn, Germany.
- G. De Lannoy, G., R. Reichle, A. Gruber, J. Quets, J. Vrugt, and J.-P. Wigneron (2018), Global Soil Moisture Estimation from L-Band Satellite Data: the Impact of Radiative Transfer Modeling in Assimilation and Retrieval Systems, Invited Presentation, International Conference on Terrestrial Systems Research: Monitoring, Prediction and High Performance Computing, Bonn, Germany.
- De Lannoy, G., R. Reichle, M. Bechtold, C. Draper, M. Girotto, A. Gruber, R. Koster, H. Lievens, Q. Liu, and S. Mahanama (2018), Land surface estimates using GEOS-5 modeling and remote sensing data: applications, Invited Presentation, General Assembly of the European Geosciences Union, Vienna, Austria.
- Xue, Y., B. A. Forman, and R. H. Reichle (2018), Assimilation of multi-frequency, multi-polarization passive microwave brightness temperature observations in North America over snow-covered regions using support vector machines, Invited Presentation, 98th AMS Annual Meeting, Austin, TX, USA.
- Crow, W. T., R. H. Reichle, F. Chen, Y. Xia, and Q. Liu (2017), Using SMAP to identify structural errors in hydrologic models, Invited Presentation, AGU Fall Meeting, New Orleans, LA, USA.
- Lievens, H., R. H. Reichle, and Coauthors (2017), Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates , Invited Presentation, AGU Fall Meeting, New Orleans, LA, USA.
- Reichle, R. H. (2017), Land surface data assimilation and downscaling using SMAP, SMOS, and AMSR observations, Invited Presentation, ECMWF/ESA workshop on using low frequency passive microwave measurements in research and operational applications, Reading, UK.
- De Lannoy, G. J. M., and R. H. Reichle (2016), From Experimental to Operational Land Surface Data Assimilation for Soil Moisture Estimation using SMOS and SMAP Satellite Observations, Invited Presentation, Keynote Address, DAFOH-HEPEX-FOR2131 Workshop on Data Assimilation in Terrestrial Systems, Bonn, Germany.
- De Lannoy, G., and R. H. Reichle (2016), Assimilation of SMOS and SMAP Observations into the NASA GEOS-5 Land Surface Model to Improve Global Estimates of Surface and Root-Zone Soil Moisture, Invited Presentation, XXI International Conference on Computational Methods in Water Resources, Toronto, Canada.
- Reichle, R. H., and G. De Lannoy (2015), Soil Moisture Analysis in the SMAP Level 4 Data Product, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- De Lannoy, G., and R. H. Reichle (2015), Assimilation of soil moisture retrievals or brightness temperature observations from SMOS and SMAP into the GEOS-5 land surface model, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- De Lannoy, G., R. H. Reichle, J. Ardizzone, A. Colliander, M. Cosh, W. Crow, J. Kimball, R. Koster, and Q. Liu (2015), Evaluation of the SMAP Level 4 Surface and Root-Zone Soil Moisture Product, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., and G. De Lannoy (2015), Assimilation of SMOS Brightness Temperature Observations in the NASA GEOS-5 Land Data Assimilation System, Invited Presentation, General Assembly of the European Geosciences Union, Vienna, Austria.
- De Lannoy, G., and R. H. Reichle (2014), Global Assimilation of SMOS Brightness Temperatures to Estimate Soil Moisture and Temperature, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Joiner, J., and Coauthors (incl. R. H. Reichle) (2014), On Variability in Satellite Terrestrial Chlorophyll Fluorescence Measurements: Relationships with Phenology and Ecosystem-Atmosphere Carbon Exchange, Vegetation Structure, Clouds, and Sun-Satellite Geometry, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., and G. De Lannoy (2014), Global estimates of surface and root zone soil moisture from the assimilation of satellite microwave observations into a land surface model, Invited Presentation, Keynote Address, Terrestrial Environmental Observatories (TERENO) International Conference, Bonn, Germany.
- Reichle, R. H. (2014), Towards multi-variate land data assimilation in the NASA GEOS-5 system, Invited Presentation, Keynote Address, Sixth International Workshop on Catchment-scale Hydrological Modeling and Data Assimilation, Austin, TX, USA.
- De Lannoy, G., R. Reichle, C. Draper, M. Girotto, and Q. Liu (2014), Satellite-based land surface data assimilation for soil moisture estimation, Invited Presentation, MEME, Aveiro, Portugal.
- Zaitchik, B. F., M. Rodell, S. Kumar, R. H. Reichle, J. D. Bolten, and K. Bergaoui (2013), Recent Advances in the GRACE Data Assimilation System, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Draper, C. S., R. H. Reichle, B. R. Scarino, G. J. De Lannoy, and Q. Liu (2013), Assimilation of Geostationary Satellite Land Surface Skin Temperature Observations into the GEOS-5 Global Atmospheric Modeling and Assimilation System, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Draper, C., R. H. Reichle, G. De Lannoy, and Q. Liu (2013), Assimilation of Geostationary Satellite Land Surface Skin Temperature Observations into the GEOS-5 Global Atmospheric Modeling and Assimilation System, Invited Presentation, 6th WMO Symposium on Data Assimilation, College Park, MD, USA.
- Reichle, R. H., C. Draper, G. J. M. De Lannoy, and Q. Liu (2013), Using triple collocation, land surface modeling, and data assimilation to evaluate global soil moisture data products, Invited Presentation, ESA Soil Moisture Validation and Application Workshop, Frascati, Italy.
- Reichle, R. H., G. J. M. De Lannoy, and V. R. Pauwels (2013), Calibration of the GEOS-5 L-band Microwave Radiative Transfer Model for Hydrologic Data Assimilation, Invited Presentation, ESA SMOS Land Applications Workshop, Frascati, Italy.
- De Lannoy, G. J., R. H. Reichle, and V. R. Pauwels (2012), Global Calibration of the GEOS-5 L-band Microwave Radiative Transfer Model and Assimilation of SMOS Observations for Improved Soil Moisture Estimation, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., and G. J. M. De Lannoy (2012), Inferring land surface model parameters for the assimilation of satellite-based L-band brightness temperature observations into a soil moisture analysis system, Invited Presentation, Keynote Address, Fifth International Workshop on Catchment-scale Hydrological Modeling and Data Assimilation, Enschede, Netherlands.
- Rodell, M., B. Li, H. Kato Beaudoing, R. Houborg, B. Zaitchik, R. H. Reichle, and S. Kumar (2012), Identifying and Addressing Land Surface Model Deficiencies with Data Assimilation, Invited Presentation, Keynote Address, Fifth International Workshop on Catchment-scale Hydrological Modeling and Data Assimilation, Enschede, Netherlands.
- Reichle, R. H., G. J. M. De Lannoy, C. S. Draper,
B. A. Forman, R. D. Koster, Q. Liu, S. Mahanama, and A. Toure (2012), Land surface analysis and reanalysis at the NASA Global Modeling and Assimilation Office, Invited Presentation, 4th World Climate Research Programme International Conference on Reanalyses, Silver Spring, MD, USA.
- Draper, C., R. H. Reichle, G. J. M. De Lannoy, and Q. Liu (2012), Assimilation of passive and active microwave soil moisture retrievals, Invited Presentation, General Assembly of the European Geosciences Union, Vienna, Austria.
- De Lannoy, G. J., R. H. Reichle, C. Draper, Q. Liu, V. R. Pauwels (2011), Assimilation of SMOS surface soil moisture retrievals into the Catchment land surface model, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Forman, B., R. H. Reichle, and M. Rodell (2011), Assimilation of Terrestrial Water Storage from GRACE in a Snow-dominated Basin, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- De Lannoy, G. J., R. H. Reichle, K. R. Arsenault, P. R. Houser, S. Kumar, N. Verhoest, V. R. Pauwels (2011), Multi-Scale Assimilation of AMSR-E Snow Water Equivalent and MODIS Snow Cover Fraction in Northern Colorado, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- De Lannoy, G. and R. H. Reichle (2011), Satellite-Based Large-Scale Land Data Assimilation at NASA/GMAO, Invited Presentation, IUGG Meeting, Melbourne, Australia.
- Seneviratne, S. I., C. Jimenez, B. Mueller, C. Kummerow, M. McCabe, W. B. Rossow, G. Balsamo, P. Ciais, P. A. Dirmeyer, J. B. Fisher, R. H. Reichle, M. Reichstein, M. Rodell, K. Wang, and E. F. Wood (2011), The LandFlux-EVAL Initiative, Invited Presentation, 91st AMS Annual Meeting, Seattle, WA, USA.
- Zaitchik, B. F., M. Rodell, R. H. Reichle, B. Li, R. Houborg, and J. D. Bolten (2010), Realizing the potential of the GRACE Data Assimilation System, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., S. V. Kumar, S. P. P. Mahanama, R. Koster, and Q. Liu (2010), Assimilation of satellite-derived skin temperature observations from ISCCP
into two land surface models, Invited Presentation, Remote Sensing and Hydrology Symposium, Jackson Hole, WY, USA.
- De Lannoy, G. J. M., R. H. Reichle, P. R. Houser, K. R. Arsenault, N. E. C. Verhoest, and V. R. N. Pauwels (2010), AMSR-E snow water equivalent and MODIS snow cover fraction assimilation in Colorado, Invited Presentation, Remote Sensing and Hydrology Symposium, Jackson Hole, WY, USA.
- Reichle, R. H. (2010), Recent achievements in land data assimilation, Invited Presentation, Second International Conference on Hydrology Delivers Earth System Science to Society, Tokyo, Japan.
- Reichle, R. H. (2009), Advances in land data assimilation at NASA, Invited Presentation, ECMWF/GLASS Workshop on Land Surface Modelling and Data Assimilation and the Implications for Predictability, Reading, UK.
- Reichle, R. H., B. F. Zaitchik, and M. Rodell (2009), Assimilation of GRACE terrestrial water storage data into a land surface model, Invited Presentation, 88th AMS Annual Meeting, Phoenix, AZ, USA.
- Reichle, R. H., S. V. Kumar, R. D. Koster, W. T. Crow, and C. Peters-Lidard (2008), The impact of subsurface physics on soil moisture estimates derived from the assimilation of surface observations, Invited Presentation, AGU Joint Assembly, Ft. Lauderdale, FL, USA.
- Kumar, S. V., R. H. Reichle, R. D. Koster, and C. D. Peters-Lidard (2008), Impact of Land Surface Representation in the Assimilation of Surface Soil Moisture, Invited Presentation, 88th AMS Annual Meeting, New Orleans, LA, USA.
- De Lannoy, G. J., P. R. Houser, R. H. Reichle, V. R. Pauwels, N. E. Verhoest (2007), Dealing with systematic errors in land surface modeling, soil moisture observations and assimilation, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Rodell, M., B. F. Zaitchik, and R. H. Reichle (2007), Assimilation of GRACE Derived Terrestrial Water Storage Data into a Hydrological Model, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H. (2007), An adaptive Ensemble Kalman filter for soil moisture data assimilation, Invited Presentation, AGU Joint Assembly, May 2007, Acapulco, Mexico.
- Rodell, M., B. Zaitchik, H. Kato, R. H. Reichle, and R. van der Velde (2007), Enhancement of Satellite Observations of the Land Surface Via Data Assimilation, Invited Presentation, AGU Joint Assembly, Acapulco, Mexico.
- Koster, R. D., and R. H. Reichle (2007), Current Capabilities and Future Directions for Land Surface Data Assimilation, Invited Presentation, 87th AMS Annual Meeting, San Antonio, TX, USA.
- Reichle, R. H. (2006), Soil moisture and soil temperature data assimilation in the NASA/GMAO system, Invited Presentation, European Centre for Medium-Range Weather Forecasting (ECMWF), Reading, UK.
- Reichle, R. H. (2006), Assimilating retrievals of surface soil moisture and land surface temperature into a land surface model, Invited Presentation, IGARSS, Denver, CO, USA.
- Reichle, R. H., R. D. Koster, M. G. Bosilovich, and S. Mahanama (2006), Biases and scaling in soil moisture and temperature data assimilation, Invited Presentation, AGU Spring Meeting, Baltimore, MD, USA.
- Rodell, M., R. H. Reichle, K. Ellett, J. Walker, F. Lemoine, and H. Kato (2006), Land Surface Model Assimilation of Data from GRACE and Other Satellites, Invited Presentation, AGU Spring Meeting, Baltimore, MD, USA.
- Reichle, R. H. (2006), Soil moisture and soil temperature assimilation with the Ensemble Kalman filter, Invited Presentation, Workshop on Predictability, Observations, and Uncertainties in Geosciences, March 13-15, 2006, School of Computational Science, Florida State University, Tallahassee, FL, USA.
- Reichle, R. H. (2004), Land data assimilation and seasonal climate prediction, Invited Presentation, ECMWF/ELDAS Workshop on Land Surface Assimilation, Reading, UK.
- Reichle, R. H., P. R. Houser, M. Rodell, and R. D. Koster (2003), Recent progress in land data assimilation at NASA, Invited Presentation, IUGG Meeting, Sapporo, Japan.
- Reichle, R. H. and R. D. Koster (2002), Land data assimilation with the Ensemble Kalman Filter: Assessing model error parameters using innovations, Invited Presentation, XIV International Conference on Computational Methods in Water Resources, Delft, Netherlands (In: Developments in Water Science - Computational Methods in Water Resources, 47(2), Eds. S. M. Hassanizadeh, R. J. Schotting, W. G. Gray, and G. F. Pinder, pp 1387-1394, Elsevier, New York, 2002).
- Reichle, R. H. (2002), Lessons learned from data assimilation into uncoupled land models, Invited Presentation, Workshop on Land-atmosphere Coupling Aspects in Land Data Assimilation and SVAT Parameter Estimation, Global Land Atmosphere System Study (GLASS), De Bilt, Netherlands.
- McLaughlin, D. B., D. Entekhabi, and R. H. Reichle (2001), Hydrologic Data Assimilation: Challenges and Promising Solutions, Invited Presentation, AGU Spring Meeting, Boston, MA, USA.
- Reichle, R. H., D. B McLaughlin, and D. Entekhabi (1998), Soil Moisture and Temperature Data Assimilation and Down-Scaling from Remotely-Sensed Passive Microwave Data, Invited Presentation, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., Q. Liu, J. V. Ardizzone, M. Bechtold, W. T. Crow, G. J. M. De Lannoy, J. S. Kimball, and R. D. Koster (2025), Version 8 of the SMAP Level-4 Soil Moisture Data Assimilation Product, 105th AMS Annual Meeting, New Orleans, LA, USA.
- Fox, A. M., R. H. Reichle, and Q. Liu (2024), Multi-Sensor Assimilation of ASCAT Soil Moisture and SMAP Brightness Temperature in GEOS LDAS, AGU Fall Meeting, Washington, DC, USA.
- Kolassa, J., M. Ganeshan, E. L. McGrath-Spangler, O. Reale, R. H. Reichle, and S. Q. Zhang (2024), Assimilation of soil moisture observations over land improves analysis and prediction of Tropical Cyclone Idai, AGU Fall Meeting, Washington, DC, USA.
- Zeng, Y., R. D. Koster, R. H. Reichle, P. C. D. Milly, J. Kolassa, and B. Orescanin (2024), A Catchment-Based Global Model of River Flow, Velocity, and Storage for Earth-System Models, AGU Fall Meeting, Washington, DC, USA.
- Reichle, R. H., A. M. Fox, Q. Liu, and S. Q. Zhang (2024), The land surface in current and planned MERRA reanalysis products, Sixth WCRP International Conference on Reanalysis, Tokyo, Japan.
- Reichle, R. H., L. C. Andrews, A. M. Fox, Q. Liu, and S. Q. Zhang (2024), Using precipitation, soil moisture, and snow cover observations to constrain the land surface water cycle in the NASA GEOS modeling and assimilation framework, Ninth GEWEX Open Science Conference, Sapporo, Japan.
- Ayres, E., R. H. Reichle, A. Colliander, M. H. Cosh, and L. Smith (2024), Validation of remotely sensed and modelled soil moisture at forested and unforested NEON sites, Soil Moisture Active Passive Validation Experiments Workshop, University of Guelph, Guelph, Ontario, Canada.
- He, M., Y. Yi, X. Li, J.-P. Wigneron, J. S. Kimball, R. H. Reichle, L. Fan, H. W. Chen, and Q. Zhang (2024), Divergent responses of vegetation dynamics to a changing climate through different VOD products in China, General Assembly of the European Geosciences Union, Vienna, Austria.
- Kolassa, J., M. Ganeshan, E. McGrath-Spangler, O. Reale, and R. H. Reichle (2024), Assimilation of SMAP Observations Over Land Improves the Simulation and Prediction of Tropical Cyclone Idai, 104th AMS Annual Meeting, Baltimore, MD, USA.
- Zeng, Y., R. Koster, and R. H. Reichle (2024), A Global River Routing Model Based on Hydraulic Geometry and Hydrologic Catchments for Earth System Models, 104th AMS Annual Meeting, Baltimore, MD, USA.
- Fox, A. M., Q. Liu, and R. H. Reichle (2024), Soil Moisture and Brightness Temperature Assimilation for GEOS Reanalysis, 104th AMS Annual Meeting, Baltimore, MD, USA.
- Reichle, R. H., L. C. Andrews, Q. Liu, A. M. Fox, and S. Q. Zhang (2023), Improving Modeled Snow Mass in GEOS with Snow Cover Fraction Assimilation, AGU Fall Meeting, San Francisco, CA, USA.
- Kim, Y., J. S. Kimball, N. Parazoo, X. Xu, A. Colliander, R. H. Reichle, J. Xiao, and X. Li (2023), Satellite observations of spring transition events across the North American Arctic-boreal region using SMAP, AMSR2, MODIS, and OCO-2, AGU Fall Meeting, San Francisco, CA, USA.
- Feldman, A., D. Gianotti, J. Dong, R. Akbar, W. T. Crow, K. A. McColl, A. G. Konings, J. B. Nippert, S. J. Tumber-Davila, N. M. Holbrook, F. E. Rockwell, R. H. Reichle, A. Chatterjee, J. Joiner, B. Poulter, and D. Entekhabi, (2023), Remotely sensed soil moisture can capture dynamics relevant to plant water uptake, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., Q. Liu, M. Bechtold, W. Crow, G. De Lannoy, A. Fox, J. Kimball, and R. Koster (2023), Examination of L-band brightness temperature forecasts in the SMAP Level-4 Soil Moisture analysis, IGARSS, Pasadena, CA.
- Ayres, E., R. H. Reichle, A. Colliander, M. H. Cosh, L. Smith, and M. A. Genazzio (2023), Validation of remotely sensed and modelled soil moisture at forested and unforested sites, IGARSS, Pasadena, CA.
- Reichle, R. H., Q. Liu, M. Bechtold, W. Crow, G. De Lannoy, A. Fox, J. Kimball, and R. Koster (2023), Systematic errors in simulated L-band brightness temperature in the SMAP Level-4 Soil Moisture analysis, AIMES Workshop on Recent Technical Developments in Land Data Assimilation, Online.
- Raczka, B., X. Huo, A. M. Fox, M. Gharamti, R. H. Reichle, D. Hagan, A. Holmes, Y. Sun, L. Kunik, J. Lin, and J. Anderson (2023), Improving the Representation of Land Surface Processes using the Data Assimilation Research Testbed (DART), AIMES Workshop on Recent Technical Developments in Land Data Assimilation, Online.
- Reichle, R. H., Q. Liu, J. Ardizzone, M. Bechtold, W. Crow, G. De Lannoy, J. Kimball, and R. Koster (2023), Recent Improvements in the SMAP Level-4 Soil Moisture Product, General Assembly of the European Geosciences Union, Vienna, Austria.
- Apers, S., G. De Lannoy, A. R. Cobb, G. C. Dargie, R. H. Reichle, and M. Bechtold (2023), Insights into the hydrology of the Congo peatlands through land surface modeling and data assimilation, General Assembly of the European Geosciences Union, Vienna, Austria.
- Gruber, A., and R. H. Reichle (2023), Uncertainty Estimation for SMAP Level-1 Brightness Temperature Assimilation at Different Timescales, General Assembly of the European Geosciences Union, Vienna, Austria.
- Ahmad, S. K., S. V. Kumar, C. S. Draper, R. H. Reichle, C. Shen, and D. Feng (2023), Using Deep Learning to Reduce Systematic Errors in Simulated Soil Moisture within a Land Surface Model, 103rd AMS Annual Meeting, Denver, CO, USA.
- Raczka, B., X. Huo, D. F. T. Hagan, A. M. Fox, M. El Gharamti, K. Raeder, R. H. Reichle, E. Dibia, and J. Anderson (2023), Improving the Representation of Land Surface Processes using the Data Assimilation Research Testbed (DART), 103rd AMS Annual Meeting, Denver, CO, USA.
- Reichle, R. H., Q. Liu, J. V. Ardizzone, M. Bechtold, W. T. Crow, G. De Lannoy, J. S. Kimball, and R. D. Koster (2023), Improved Peatland Hydrology and L-Band Microwave Radiative Transfer Modeling in Version 7 of the SMAP Level-4 Soil Moisture Data Assimilation Product, 103rd AMS Annual Meeting, Denver, CO, USA.
- Bechtold, M., R. H. Reichle, Q. Liu, J. V. Ardizzone, W. Crow, J. Kimball, R. D. Koster, S. Apers, A. Felsberg, J. Mortelmans, B. Valkenborg, and G. J. M. De Lannoy (2022), An Operational Product for Peatland Applications: The Version 7 of the SMAP Level-4 Soil Moisture Data Assimilation Product, AGU Fall Meeting, Chicago, IL, USA.
- Kolassa, J., R. H. Reichle, M. Ganeshan, E. L. McGrath-Spangler, and O. Reale (2022), Assessing the Impact of SMAP Soil Moisture Data Assimilation on the Simulation and Prediction of Tropical Cyclone Idai, AGU Fall Meeting, Chicago, IL, USA.
- Rouf, T., R. H. Reichle, and M. Girotto (2022), Using Remote Sensing Data to Incorporate Irrigation Practices Within the NASA Goddard Earth Observing System, IGARSS, Kuala Lumpur, Malaysia.
- Reichle, R. H., Q. Liu, R. D. Koster, J. V. Ardizzone, W. T. Crow, G. J. M. De Lannoy, and J. S. Kimball (2022), Improving the SMAP Level-4 Soil Moisture Product with IMERG Satellite Precipitation, AGU Frontiers in Hydrology Meeting, San Juan, PR, USA.
- Reichle, R. H. (2022), NASA GMAO Land Assimilation Activities, AIMES Workshop on New Directions in Land Data Assimilation, Online.
- Reichle, R. H., S. Q. Zhang, Q. Liu, C. S. Draper, J. Kolassa, and R. Todling (2022), A Soil Moisture Analysis Based on SMAP Radiances Improves Near-Surface Atmospheric Humidity and Temperature in the GEOS Weather Analysis and Forecasting System, 8th International Symposium on Data Assimilation, Fort Collins, CO, USA.
- Apers, S., G. De Lannoy, A. R. Cobb, G. C. Dargie, R. H. Reichle, and M. Bechtold (2022), River water input from upstream areas into the Cuvette Centrale peatland complex detected via SMOS data assimilation, General Assembly of the European Geosciences Union, Vienna, Austria.
- Reichle, R. H., S. Q. Zhang, Q. Liu, C. S. Draper, J. Kolassa, and R. Todling (2022), Assimilation of SMAP L-band Radiances Improves Near-Surface Atmospheric Humidity and Temperature in the GEOS Weather Analysis and Forecasting System, 4th International Earth Surface Working Group (IESWG) Workshop, Online.
- Lee, E., R. D. Koster, L. E. Ott, J. Joiner, J. Kolassa, R. H. Reichle, K. R. Arsenault, A. Hazra, and S. Shukla (2021), Contributing Mechanisms to Skillful Seasonal Forecasts of Spring Carbon Uptake, AGU Fall Meeting, New Orleans, LA, USA and Online.
- Rouf, T., R. H. Reichle, M. Girotto, and M. Stookey, (2021), Towards the Assimilation of SMAP Soil Moisture Observations Over Irrigated Areas, AGU Fall Meeting, New Orleans, LA, USA and Online.
- Villanueva-Weeks, C., J. Li, A. Colliander, R. H. Reichle, A. A. Berg, M. Cosh, J. Martínez-Fernández, H. McNairn, and M. Thibeault (2021), Seasonal assessment of SMAP Level 3 and Level 4 soil moisture data products using ground-based measurements at agricultural sites, AGU Fall Meeting, New Orleans, LA, USA and Online.
- Massoud, E. C., M. Girotto, L. C. Andrews, J. Park, R. H. Reichle, and A. Molod (2021), Evaluating GEOS-S2S-2 seasonal and subseasonal forecasts of soil moisture in the High Mountain Asia region, AGU Fall Meeting, New Orleans, LA, USA and Online.
- Brust, C., J. S. Kimball, M. P. Maneta, K. Jencso, and R. H. Reichle (2021), DroughtCast: A Machine Learning Forecast of the U.S. Drought Monitor, AGU Fall Meeting, New Orleans, LA, USA and Online.
- Endsley, K. A., J. S. Kimball, R. D. Koster, and R. H. Reichle (2021), Sensitivity analysis of the phase of terrestrial net ecosystem exchange in northern hemisphere using chamber measurements and satellite data, AGU Fall Meeting, New Orleans, LA, USA and Online.
- Reichle, R. H., S. Q. Zhang, Q. Liu, C. S. Draper, J. Kolassa, and R. Todling (2021), Assimilation of SMAP Brightness Temperature Observations in the GEOS Land-Atmosphere Data Assimilation System, First Joint WCRP-WWRP Symposium on Data Assimilation and Reanalysis, Online.
- Lee, E., R. D. Koster, L. E. Ott, J. Joiner, J. Kolassa, and R. Reichle (2021), Effect of Land Initialization on the Skill of Forecasting Carbon Fluxes on Sub-seasonal to Seasonal (S2S) Time Scales, AIMES Workshop on Tackling Technical Challenges in Land Data Assimilation, Online.
- Kim, Y., J. Kimball, N. Parazoo, X. Xu, R. S. Dunbar, A. Colliander, and R. Reichle, (2021), Monitoring eco-hydrological spring onset over Alaska and northern Canada with complementary satellite remote sensing data, IGARSS, Brussels, Belgium (online).
- Yang, Z., C. Zhang, H. Zhao, Z. Sun, R. Bindlish, P.-W. Liu, A. Colliander, R. Mueller, L. Di, W. Crow, and R. Reichle (2021), CROP-CASMA - A web GIS tool for cropland soil moisture monitoring and assessment based on SMAP data, IGARSS, Brussels, Belgium (online).
- Vincent, F., M. Maertens, M. Bechtold, E. Jobbagy, R. Reichle, V. Vanacker, J. Vrugt, J.-P. Wigneron, and G. De Lannoy (2021), Forward and inverse L-band radiative transfer modeling over the dry Chaco, using SMOS observations, land surface modeling and in situ data, IGARSS, Brussels, Belgium (online).
- Zhang, Z., A. Chatterjee, L. Ott, R. H. Reichle, and B. Poulter, (2021), Data assimilation of satellite-based soil moisture from SMAP improves the timing of seasonal and interannual terrestrial CO2 and CH4 fluxes for ABoVE domain, NASA ABoVE Science Team Meeting, Online.
- Bechtold, M., S. P. Mahanama, R. H. Reichle, R. D. Koster, and G. J. M. De Lannoy (2021), Where are the peatlands? Comparing two global peatland maps through L-band brightness temperature simulations, General Assembly of the European Geosciences Union, Online.
- Peng, J., and Coauthors (incl. R. H. Reichle) (2021), A roadmap for high-resolution satellite soil moisture applications, General Assembly of the European Geosciences Union, Online.
- Gruber, A., and the Validation Good Practice Team (incl. R. H. Reichle) (2021), Validation practices for satellite soil moisture retrievals: What are (the) errors?, General Assembly of the European Geosciences Union, Online.
- Weir, B., L. Ott, A. Chatterjee, T. Oda, C. Rousseaux, C. Tucker, J. Joiner, and R. Reichle (2021), Earth system reanalysis: Implications for better understanding the North American carbon cycle, North American Carbon Program 7th Open Science Meeting, Online.
- Apers, S., M. Bechtold, A. J. Baird, A. R. Cobb, G. Dargie, H. Hidayat, T. Hirano, A. Hoyt, Y. Ishii, A. Katimon, R. D. Koster, M. Lampela, S. P. Mahanama, L. Melling, S. Page, R. H. Reichle, H. Takahashi, M. Taufik, J. Vanderborght, and G. J. M. De Lannoy (2020), Extending the PEATCLSM Framework to Tropical Peatlands: Model Evaluation for the Major Tropical Peatland Areas, AGU Fall Meeting, Online.
- Felsberg, A., G. J. M. De Lannoy, M. Girotto, J. Poesen, R. H. Reichle, and T. Stanley (2020), Global soil water estimates as landslide predictor: the effectiveness of GRACE, SMOS and SMAP satellite observations, land model simulations and data assimilation, AGU Fall Meeting, Online.
- Xiao, J., X. Li, J. S. Kimball, R. H. Reichle, R. L. Scott, M. E. Litvak, G. Bohrer, and C. Frankenberg (2020), Synergistic use of SMAP and OCO-2 data in assessing the responses of ecosystem productivity to the 2018 U.S. drought, AGU Fall Meeting, Online.
- Yoshida, Y., J. Joiner, P. Köhler, C. Frankenberg, N. Parazoo, K. Huemmrich, R. H. Reichle, R. D. Koster and F. Zeng (2020), Global Relationships Among Solar-Induced Fluorescence (SIF), Reflectance-Based Vegetation Indicators (NDVI), and Soil Moisture Variability on Weekly Timescales, AGU Fall Meeting, Online.
- De Lannoy, G., M. Bechtold, S. de Roos, A. Felsberg, M. Girotto, A. Gruber, H. Lievens, S. Modanesi, and R. Reichle (2020), Satellite-based land surface data assimilation: some advances, challenges and applications, Earth Observation for Water Cycle Science, Online.
- Girotto, M., R. H. Reichle, M. Rodell, Q. Liu, S. Mahanama, and G. De Lannoy (2020), Improving Land Surface Model Estimates via Multivariate Data Assimilation of Soil Moisture and Terrestrial Water Storage Opportunities, Earth Observation for Water Cycle Science, Online.
- Felsberg, A., G. De Lannoy, M. Girotto, J. Poesen, R. Reichle, and T. Stanley (2020), Global soil water estimates as landslide predictor: the effectiveness of observations, simulations and data assimilation results, General Assembly of the European Geosciences Union, Online.
- Sheffield, J., H. Beck, M. Pan, D. Miralles, R. Reichle, W. Dorigo, W. Wagner, and E. Wood (2020), Global assessment of 15 satellite- and model-based soil moisture products for operational drought monitoring, General Assembly of the European Geosciences Union, Online.
- Apers, S., M. Bechtold, A. J. Baird, A. R. Cobb, G. Dargie, A. Katimon, R. D. Koster, M. Lampela, S. P. Mahanama, S. Page, R. H. Reichle, J. Vanderborght, and G. J. M. De Lannoy and collaborators (2020), Integrating tropical peatland hydrology into a global land surface model (PEATCLSM), General Assembly of the European Geosciences Union, Online.
- Bechtold, M., G. J. M. De Lannoy, R. H. Reichle, D. Roose, N. Balliston, I. Burdun, K. Devito, J. Kurbatova, M. Strack, and E. A. Zarov (2020), 10 yrs of Improved Groundwater Table Estimates in Northern Peatlands Through Assimilation of Passive Microwave Observations into PEATCLSM, General Assembly of the European Geosciences Union, Online.
- Reichle, R. H., Q. Liu, J. V. Ardizzone, W. T. Crow, G. De Lannoy, J. S. Kimball, J. Kolassa, and R. D. Koster (2020), Impact of Gauge-Based Precipitation Corrections on the Skill of SMAP Level-4 Soil Moisture Estimates, 100th AMS Annual Meeting, Boston, MA, USA.
- Reichle, R. H., Q. Liu, J. V. Ardizzone, W. T. Crow, G. De Lannoy, J. S. Kimball, J. Kolassa, and R. D. Koster (2019), Global assimilation of L-band brightness temperature observations from SMAP and SMOS into the Catchment land surface model and contribution to the skill of soil moisture estimates, AGU Fall Meeting, San Francisco, CA, USA.
- Kimball, J. S., K. A. Endsley, R. H. Reichle, C. Brust, P. M. Wurster, B. D. Maxwell, and M. P. Maneta (2019), Satellite Monitoring of Global Soil Health Attributes Using the SMAP Level 4 Carbon Product, AGU Fall Meeting, San Francisco, CA, USA.
- Kolassa, J., R. H. Reichle, R. D. Koster, Q. Liu, and S. P. P. Mahanama (2019), The effect of an improved dynamic vegetation phenology representation on the partitioning of transpiration and evaporation in a global land surface model, AGU Fall Meeting, San Francisco, CA, USA.
- Brust, C., J. S. Kimball, M. P. Maneta, M. He, and R. H. Reichle (2019), Using SMAP Soil Moisture to Constrain MOD16 Evapotranspiration Estimates, AGU Fall Meeting, San Francisco, CA, USA.
- Felsberg, A., G. De Lannoy, M. Girotto, R. H. Reichle, and J. W. Poesen (2019), Soil water content as landslide predictor: the effectiveness of observations, simulations and data assimilation results, AGU Fall Meeting, San Francisco, CA, USA.
- Madani, N., N. C. Parazoo, J. S. Kimball, A. P. Ballantyne, T. Tagesson, L. A. Jones, R. H. Reichle, P. I. Palmer, I. Velicogna1, A. A. Bloom, S. Saatchi, Z. Liu, G. A (2019), From Surface to Ground Water: Water Availability Control on African Forests’ Productivity during Severe Meteorological Conditions, AGU Fall Meeting, San Francisco, CA, USA.
- Neelam, M., R. Bindlish, P. E. O'Neill, R. H. Reichle, G. J. Huffman, S. Chan, and A. Colliander (2019), Evaluation of Precipitation Flag for SMAP Soil Moisture Accuracy using IMERG and GEOS-5, AGU Fall Meeting, San Francisco, CA, USA.
- Girotto, M., R. H. Reichle, M. Rodell, and V. Maggioni (2019), Data Assimilation of Terrestrial Water Storage Observations to Estimate Precipitation Fluxes: A Synthetic Experiment, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., Q. Liu, G. De Lannoy, W. Crow, L. Jones, J. Kimball, and R. Koster (2019), Verification of the SMAP Level-4 Soil Moisture Analysis Using Rainfall Observations in Australia, IGARSS, Yokohama, Japan.
- Kimball, J. S., L. Jones, K. Jencso, M. He, M. Maneta, R. H. Reichle (2019), SMAP L4 Assessment of the US Northern Plains 2017 Flash Drought, IGARSS, Yokohama, Japan.
- Reichle, R. H., Q. Liu, G. De Lannoy, W. Crow, L. Jones, J. Kimball, and R. Koster (2019), Using rainfall observations to verify the SMAP Level-4 soil moisture analysis in Australia, 3rd International Surface Working Group Workshop, Montreal, Quebec, Canada.
- Draper, C., and R. H. Reichle (2019), Assimilation of Satellite Soil Moisture for Improved Atmospheric Reanalyses, 3rd International Surface Working Group Workshop, Montreal, Quebec, Canada.
- Bechtold, M., G. J. M. De Lannoy, R. D. Koster, R. H. Reichle, S. P. Mahanama, D. Roose, et al. (2019), Peatland Hydrology in a Global Land Surface Modeling and Data Assimilation Framework, General Assembly of the European Geosciences Union, Vienna, Austria.
- Felsberg, A., G. De Lannoy, and R. H. Reichle (2019), Quantifying Precipitation Errors via Soil Moisture Data Assimilation, General Assembly of the European Geosciences Union, Vienna, Austria.
- Draper, C., and R. H. Reichle (2019), Assimilation of satellite soil moisture for improved atmospheric reanalyses, 99th AMS Annual Meeting, Phoenix, AZ, USA.
- Tao, J., K. N. Musselman, M. Clark, R. Koster, R. H. Reichle, and B. A. Forman (2019), Towards a general snow thermal conductivity scheme in land models, 99th AMS Annual Meeting, Phoenix, AZ, USA.
- Jones, L. A., J. S. Kimball, R. H. Reichle, and K. Jencso (2018), The US Northern Plains 2017 Flash Drought as Seen by SMAP L4 Soil Moisture and Gross Primary Productivity, AGU Fall Meeting, Washington, DC, USA.
- Reichle, R. H., Q. Liu, R. D. Koster, J. V. Ardizzone, W. T. Crow, G. De Lannoy, J. S. Kimball, and J. Kolassa (2018), Water Balance in the SMAP Level-4 Soil Moisture Algorithm, AGU Fall Meeting, Washington, DC, USA.
- Du, J., J. S. Kimball, R. H. Reichle, L. A. Jones, and J. D. Watts (2018), Satellite Retrievals and Analysis of the Global Near-Surface Atmospheric Vapor Pressure Deficit using AMSR-E and AMSR2, AGU Fall Meeting, Washington, DC, USA.
- Koster, R. D., R. H. Reichle, S. P. P. Mahanama, and Q. Liu (2018), Spatial Correlation Structures in SMAP Near-Surface Soil Moisture: Application to the Reconstruction of Historical Soil Moisture Datasets, AGU Fall Meeting, Washington, DC, USA.
- Wang, J., B. A. Forman, M. Girotto, and R. H. Reichle (2018), Year-round Estimation of Terrestrial Water Storage in a Snow-Covered Basin through the Assimilation of Multisensor Satellite Observations from GRACE and AMSR-E, AGU Fall Meeting, Washington, DC, USA.
- Girotto, M., M. Rodell, R. H. Reichle, V. Maggioni, and B. A. Forman (2018), Data Assimilation of Terrestrial Water Storage to Adjust Precipitation Fluxes, AGU Fall Meeting, Washington, DC, USA.
- Draper, C., and R. H. Reichle (2018), Assimilation of satellite soil moisture for improved atmospheric reanalyses, AGU Fall Meeting, Washington, DC, USA.
- Tao, J., R. D. Koster, R. H. Reichle, B. A. Forman, Y. Xue, R. H. Chen, and M. Moghaddam (2018), Permafrost Variability over the Northern Hemisphere Based on the MERRA-2 Reanalysis, AGU Fall Meeting, Washington, DC, USA.
- Kolassa, J., R. H. Reichle, R. Koster, Q. Liu and S. Mahanama (2018), The SMAP Level-4 ECO Project Phase 1: Improved vegetation simulations through observation-driven parameter estimation, AGU Fall Meeting, Washington, DC, USA.
- Reichle, R. H., Q. Liu, R. D. Koster, J. V. Ardizzone, W. T. Crow, G. J. M. De Lannoy, and J. S. Kimball (2018), Recent updates in the SMAP level-4 soil moisture algorithm, Fifth Satellite Soil Moisture Validation and Application Workshop, Fairfax, VA, USA.
- Kolassa, J., R. H. Reichle, R. Koster, Q. Liu and S. Mahanama (2018), The SMAP Level-4 ECO Project: Improving terrestrial flux estimates through coupled hydrology-vegetation data assimilation, Fifth Satellite Soil Moisture Validation and Application Workshop, Fairfax, VA, USA.
- Reichle, R. H., Q. Liu, and R. Koster (2018), Improving the SMAP Level-4 Soil Moisture Product: The Good, the Bad, and the Ugly, 2nd International Surface Working Group and Satellite Applications Facility on Land Surface Analysis Workshop, Lisbon, Portugal.
- Lievens, H., R. H. Reichle, M. Girotto, L. Brucker, E. Kim, C. Marty, T. Jonas, M. Olefs, M. Dumont, D. Verfaillie, J. Schoeber, and G. J. M. De Lannoy (2018), Mapping Snow Mass in the European Alps Using Sentinel-1 Radar Observations, 75th Eastern Snow Conference, College Park, MD, USA.
- Wang, J., B. A. Forman, M. Girotto, and R. H. Reichle (2018), Year-round Estimation of Terrestrial Water Storage over Snow Covered Terrain via Multi-sensor Assimilation of GRACE and AMSR-E, 75th Eastern Snow Conference, College Park, MD, USA.
- Tao, J., R. H. Reichle, R. D. Koster, B. A. Forman, and Y. Xue (2018), Impacts of vegetation and snow on permafrost variability, 75th Eastern Snow Conference, College Park, MD, USA.
- Koster, R., R. Reichle, S. Mahanama, and W. Crow (2018), Large-scale hydrological fluxes as revealed by data from the Soil Moisture Active-Passive mission, IGARSS, Valencia, Spain.
- Bechtold, M., S. De Cannière, R. Reichle, and G. De Lannoy (2018), Accounting for static and dynamic open water in the modeling of SMAP brightness temperatures over peatlands, IGARSS, Valencia, Spain.
- Bechtold, M., G. De Lannoy, R. Reichle, R. Koster, S. Mahanama and D. Roose (2018), Improved hydrology over peatlands in a global land modeling system, International Conference on Terrestrial Systems Research: Monitoring, Prediction and High Performance Computing, Bonn, Germany.
- Bechtold, M., G. De Lannoy, R. Reichle, R. Koster, S. Mahanama and Coauthors (2018), Improved hydrology over peatlands in the GEOS-5 land modeling system, General Assembly of the European Geosciences Union, Vienna, Austria.
- Leybaert, V., G. De Lannoy, C.-H. Su, and R. Reichle (2018), Quantifying Precipitation Errors via Soil Moisture Data Assimilation, General Assembly of the European Geosciences Union, Vienna, Austria.
- Reichle, R. H., Q. Liu, G. J. M. De Lannoy, W. T. Crow, J. S. Kimball, R. D. Koster, and J. V. Ardizzone (2018), Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics, 98th AMS Annual Meeting, Austin, TX, USA.
- Draper, C. S., and R. H. Reichle (2018), Observation error specification for near-surface soil moisture assimilation: does it matter?, 98th AMS Annual Meeting, Austin, TX, USA.
- Dong, J., M. B. Ek, H. Wei, J. Meng, W. Zheng, S. V. Kumar, R. H. Reichle, D. Mocko, and C. D. Peters-Lidard (2018), Evaluation of Snow Modeling with Noah and Noah-MP Land Surface Models and Assimilation of the AFWA Snow Depth Products into NCEP Operational CFS/GFS System, 98th AMS Annual Meeting, Austin, TX, USA.
- Kolassa, J., R. H. Reichle, Q. Liu, S. H. Alemohammad, and P. Gentine (2017), Statistical techniques to extract information during SMAP soil moisture assimilation, AGU Fall Meeting, New Orleans, LA, USA.
- Wang, J., Y. Xue, B. A. Forman, M. Girotto, and R. H. Reichle (2017), Towards Year-round Estimation of Terrestrial Water Storage over Snow-Covered Terrain via Multi-sensor Assimilation of GRACE/GRACE-FO and AMSR-E/AMSR-2, AGU Fall Meeting, New Orleans, LA, USA.
- Girotto, M., R. H. Reichle, G. De Lannoy, and M. Rodell (2017), Joint assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for improved soil moisture estimation, AGU Fall Meeting, New Orleans, LA, USA.
- Du, J., J. S. Kimball, J. F. Galantowicz, S. Kim, S. Chan, R. H. Reichle, L. A. Jones, and J. D. Watts (2017), Mapping global surface water inundation dynamics using synergistic information from SMAP, AMSR2 and Landsat, AGU Fall Meeting, New Orleans, LA, USA.
- Jones, L. A., N. Madani, J. S. Kimball, R. H. Reichle, and A. Colliander (2017), Effects of Recent Regional Soil Moisture Variability on Global Net Ecosystem CO2 Exchange, AGU Fall Meeting, New Orleans, LA, USA.
- Tao, J., R. D. Koster, R. H. Reichle, B. A. Forman, and Y. Xue (2017), Permafrost degradation in high-latitude regions in recent decades, AGU Fall Meeting, New Orleans, LA, USA.
- Lievens, H., R. H. Reichle, M. Girotto, L. Brucker, and E. Kim (2017), Observing snow depth and snow water equivalent with Sentinel-1, AGU Fall Meeting, New Orleans, LA, USA.
- Yi, Y., J. S. Kimball, M. Moghaddam, R. H. Chen, R. H Reichle, W. C. Oechel, and D. Zona (2017), Characterizing soil moisture and snow cover effects on boreal-arctic soil freeze/thaw dynamics and cold-season carbon emissions, AGU Fall Meeting, New Orleans, LA, USA.
- Reichle, R. H., R. D. Koster, C. S. Draper, Q. Liu, M. Girotto, S. P. P. Mahanama,
G. J. M. De Lannoy, and G. S. Partyka (2017), Land surface precipitation and hydrology in MERRA-2, 5th International Conference on Reanalysis, Rome, Italy.
- Draper, C. S., R. H. Reichle, and R. D. Koster (2017), Assessment of MERRA-2 Land Surface Energy Flux Estimates, 5th International Conference on Reanalysis, Rome, Italy.
- Bechtold, M., G. De Lannoy, D. Roose, R. H. Reichle, R. D. Koster, (2017), Improving water level and soil moisture over peatlands in a global land modeling system, 5th International Conference on Reanalysis, Rome, Italy.
- Reichle, R. H., Q. Liu, J. Ardizzone, W. Crow, G. De Lannoy, J. Kolassa, J. Kimball,
and R. Koster (2017), Version 3 of at the SMAP Level 4 Soil Moisture Product, Fourth Satellite Soil Moisture Validation and Application Workshop, Vienna, Austria.
- Kolassa, J., R. H. Reichle, Q. Liu, S. H. Alemohammad, and P. Gentine (2017), Optimizing bias correction in SMAP soil moisture assimilation, Fourth Satellite Soil Moisture Validation and Application Workshop, Vienna, Austria.
- Quets, J., G. De Lannoy, R. H. Reichle, M. Cosh, R. van der Schalie and J.-P. Wigneron (2017), Uncertainty assessment of space-borne passive soil moisture retrievals, Fourth Satellite Soil Moisture Validation and Application Workshop, Vienna, Austria.
- Kimball, J. S., L. Jones, J. Glassy, N. Madani, and R. H. Reichle (2017), Monitoring Ecosystem-Atmosphere CO2 Exchange Response to Recent (2015-2016) Climate Variability Using the SMAP L4 Carbon Product, IGARSS, Forth Worth, TX.
- Lievens, H., R. H. Reichle, W. Wagner, G. De Lannoy, Q. Liu, and N. Verhoest (2017), Assimilation of Sentinel-1 and SMAP observations to improve GEOS-5 soil moisture, General Assembly of the European Geosciences Union, Vienna, Austria.
- De Lannoy, G., and R. H. Reichle (2017), Assimilation of various types of SMOS observations into the GEOS-5 Catchment Land Surface Model, and the effect on turbulent fluxes and runoff, General Assembly of the European Geosciences Union, Vienna, Austria.
- Girotto, M., R. H. Reichle, G. De Lannoy, M. Rodell, and J. Kolassa (2017), Joint assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for improved soil moisture estimation, General Assembly of the European Geosciences Union, Vienna, Austria.
- Kolassa, J., R. H. Reichle, S. H. Alemohammad, Q. Liu, and P. Gentine (2017), Neural Network Bias Correction for SMAP Soil Moisture Assimilation, General Assembly of the European Geosciences Union, Vienna, Austria.
- Monerris, A., C. Ruediger, W. Wagner, and R. Reichle (2017), Satellite root zone soil moisture products for drought and water resource monitoring in Australia, AMMOS/MSNZ Conference and ANZ Climate Forum, Canberra, Australia.
- Draper, C. S, R. H. Reichle and R. D. Koster (2017), Evaluating MERRA-2 Reanalysis Surface Radiation and Turbulent Fluxes with Satellite and Ground-Based Observations, 97th AMS Annual Meeting, Seattle, WA, USA.
- Reichle, R. H., Q. Liu, G. De Lannoy, and J. V. Ardizzone (2016), Assimilation Diagnostics of the SMAP Level 4 Soil Moisture Product, AGU Fall Meeting, San Francisco, CA, USA.
- Kolassa, J., R. H. Reichle, P. Gentine, S. H. Alemohammad, C. Prigent, F. Aires, C. S. Draper, and Q. Liu (2016), Bias correction in SMAP soil moisture assimilation using a neural network approach, AGU Fall Meeting, San Francisco, CA, USA.
- Girotto, M., R. H. Reichle, G. De Lannoy, M. Rodell, S. N. Bhanja, and A. Mukherjee (2016), Changes in India’s land surface water balance during the GRACE mission years: A data assimilation perspective, AGU Fall Meeting, San Francisco, CA, USA.
- Tao, J., R. H. Reichle, R. D. Koster, B. A. Forman, and Y. Xue (2016), Improving thermodynamic representation in permafrost modeling within the NASA Catchment Land Surface Model, AGU Fall Meeting, San Francisco, CA, USA.
- Yi, Y., J. S. Kimball, M. Moghaddam, and R. H. Reichle (2016), Characterizing permafrost active layer dynamics and sensitivity to landscape spatial heterogeneity: A case study in Alaska, AGU Fall Meeting, San Francisco, CA, USA.
- Lee, E., R. D. Koster, F. Zeng, B. Weir, L. E. Ott, A. Chatterjee, R. H. Reichle, and S. P. P. Mahanama (2016), The effect of different time scales of atmospheric CO2 variability on the estimation of the global terrestrial carbon cycle, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., G. De Lannoy, Q. Liu, J. Ardizzone, F. Chen, A. Colliander, A. Conaty, W. Crow, T. Jackson, J. Kimball, R. Koster, B. Smith (2016), The SMAP Level 4 Surface and Root Zone Soil Moisture (L4_SM) Data Product, Third Satellite Soil Moisture Validation and Application Workshop, New York City, NY, USA.
- Lievens, H., B. Martens, N. E. C. Verhoest, S. Hahn, R. H. Reichle, and D. G. Miralles (2016), Assimilation of radar backscatter and radiometer brightness temperature observations to improve hydrologic simulations, Third Satellite Soil Moisture Validation and Application Workshop, New York City, NY, USA.
- Kolassa, J., R. H. Reichle, C. Draper, P. Gentine, H. Alemohammad, C. Prigent, F. Aires, and Q. Liu (2016), Using statistical retrieval techniques to improve SMAP soil moisture assimilation, Third Satellite Soil Moisture Validation and Application Workshop, New York City, NY, USA.
- Draper, C., and R. H. Reichle (2016), Bias correcting remotely sensed soil moisture for data assimilation at subseasonal, seasonal, and inter-annual timescales, Third Satellite Soil Moisture Validation and Application Workshop, New York City, NY, USA.
- Monerris, A., C. Rüdiger, W. Wagner, R. H. Reichle, and N. M. Lindner (2016), Evaluation of multi-satellite root zone soil moisture products across southern Australia, Third Satellite Soil Moisture Validation and Application Workshop, New York City, NY, USA.
- Reichle, R. H., G. De Lannoy, Q. Liu, J. Ardizzone, J. Kimball, and R. Koster (2016), SMAP Level 4 Surface and Root Zone Soil Moisture, IGARSS, Beijing, China.
- Jones, L., J. Kimball, N. Madani, R. Reichle, J. Glassy, and J. Ardizzone (2016), The SMAP Level 4 Carbon Product for Monitoring Terrestrial Ecosystem-Atmosphere CO2 Exchange, IGARSS, Beijing, China.
- Escobar, V. M., S. Delgado Arias, S. Moran, G. Nearing, D. Entekhabi, E. G. Njoku, S. Yueh, B. Doorn, and R. H. Reichle (2016), Overview of the SMAP Applications and the SMAP Early Adopter Program: NASA's First Mission-Directed Outreach Effort, IGARSS, Beijing, China.
- Girotto, M., G. De Lannoy, R. H. Reichle, and M. Rodell (2016), Toward a joint assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for improved soil moisture estimation, XXI International Conference on Computational Methods in Water Resources, Toronto, Canada.
- Reichle, R. H., G. J. M. De Lannoy, R. D. Koster, J. Kimball, W. T. Crow, Q. Liu, J. Ardizzone, A. Berg, D. Bosch, T. Caldwell, A. Colliander, A. Conaty, M. Cosh, D. C. Goodrich, T. Jackson, S. Livingston, J. Prueger, T. Rowlandson, and P. Starks (2016), First Results from the SMAP Level 4 Surface and Root Zone Soil Moisture (L4_SM) Data Product, 96th AMS Annual Meeting, New Orleans, LA, USA.
- Kumar, S. V, C. Peters-Lidard, J. A. Santanello Jr., R. H. Reichle, C. Draper, R. D. Koster, G. S. Nearing, and M. F. Jasinski (2016), Evaluating the utility of satellite soil moisture retrievals over irrigated areas and the ability of land data assimilation methods to correct for unmodeled processes, 96th AMS Annual Meeting, New Orleans, LA, USA.
- Draper, C. S, R. H. Reichle and G. J. M. De Lannoy (2016), Assimilation of remotely sensed near-surface soil moisture into the GEOS-5 atmospheric modeling and assimilation system, 96th AMS Annual Meeting, New Orleans, LA, USA.
- Draper, C. S, R. Reichle, Q. Liu, R. Koster, S. Mahanama, G. De Lannoy, and M. Girotto (2016), Land surface water and energy estimates in the global MERRA-2 reanalysis, 96th AMS Annual Meeting, New Orleans, LA, USA.
- Girotto, M., G. J. M. De Lannoy, R. H. Reichle, and M. Rodell (2016), Assimilation of gridded GRACE terrestrial water storage observation for improving soil moisture and shallow groundwater estimates, 96th AMS Annual Meeting, New Orleans, LA, USA.
- De Lannoy, G. J. M, R. H. Reichle, J. Peng, Y. Kerr, R. Castro, E. J. Kim, and Q. Liu (2016), Converting Between SMOS and SMAP Level-1 Brightness Temperature Observations Over Nonfrozen Land, 96th AMS Annual Meeting, New Orleans, LA, USA.
- Stavros, E. N.,
J. Kimball,
L. Jones,
A. Colliander,
J. Glassy,
R. H. Reichle,
D. Schimel,
D. Baldocchi,
J. Beringer,
J. Cleverly,
A. Desai,
E. Euskirchen,
L. Hutley,
P. Isaac,
B. Law,
C. Macfarlane,
W. Oechel,
S. Prober,
P. Jouni,
R. Scott,
H. Wheater, and
D. Zona (2015), The NASA Soil Moisture Active Passive (SMAP) Mission Level 4 Carbon Product calibration and validation using eddy covariance observations across North America, Australia and Finland, AGU Fall Meeting, San Francisco, CA, USA.
- Kimball, J., L. Jones, J. Glassy, R. H. Reichle, J. Ardizzone, and N. Stavros (2015), The NASA SMAP Mission Level 4 Carbon Product: A New Tool for Global Monitoring of Terrestrial Carbon Exchange, AGU Fall Meeting, San Francisco, CA, USA.
- Kumar, S., C. Peters-Lidard, D. Mocko, M. Jasinski, R. H. Reichle, B. Zaitchik, A. Getirana, M. Rodell, Y. Xia, and M. Ek (2015), Multivariate assimilation of satellite-derived land remote sensing datasets: Advances, gaps and challenges, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., C. Draper, Q. Liu, R. Koster, S. Mahanama, G. De Lannoy, and M. Girotto (2015), Land Surface Water and Energy Estimates in the Global MERRA-2 Reanalysis, AGU Fall Meeting, San Francisco, CA, USA.
- Girotto, M., G. De Lannoy, R. H. Reichle, and M. Rodell (2015), An Improved GRACE Terrestrial Water Storage Assimilation System For Estimating Large-Scale Soil Moisture and Shallow Groundwater, AGU Fall Meeting, San Francisco, CA, USA.
- Moghaddam, M., D. Entekhabi, P. Moorcroft, Y. Lou, E. Chapin, S. Saatchi, R. H. Reichle, W. Crow, R. Cuenca, A. Tabatabaeenejad, P. Shepson, S. Hensley, Y. Hagimoto, R. Chen, S. Milak, A. Ali, and D. Hollinger (2015), Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) Earth Venture Suborbital Mission Overview, AGU Fall Meeting, San Francisco, CA, USA.
- Kolassa, J., R. H. Reichle, P. Gentine, C. Prigent, F. Aires, and B. Fang (2015), A synergisitic Neural Network Soil Moisture Retrieval Algorithm for SMAP, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., G. De Lannoy, Q. Liu, A. Colliander, A. Conaty, J. Kimball, and R. Koster (2015), First results from the SMAP Level 4 Surface and Root Zone Soil Moisture (L4_SM) data assimilation product, ESA Earth Observation for Water Cycle Science, Frascati, Italy.
- Reichle, R. H., C. Draper, Q. Liu, S. Mahanama, M. Girotto, R. Koster, and G. De Lannoy (2015), Precipitation and global land surface hydrology in the MERRA-2 and MERRA-Land reanalysis datasets, ESA Earth Observation for Water Cycle Science, Frascati, Italy.
- Moghaddam, M., E. Chapin, R. Cuenca, W. Crow, D. Entekhabi, S. Hensley, Y. Lou, P. Moorcroft, R. H. Reichle, S. Saatchi, and P. Shepson (2015), AirMOSS Mission Overview, IGARSS, Milan, Italy.
- Reichle, R. H., J. Kimball, L. Jones, G. De Lannoy, and D. Entekhabi (2015), SMAP Level 4 Root Zone Soil Moisture and Carbon Products, IGARSS, Milan, Italy.
- Reichle, R. H., and Q. Liu (2015), Precipitation and global land surface hydrology in the MERRA-Land and
MERRA-2 reanalysis datasets, General Assembly of the European Geosciences Union, Vienna, Austria.
- Reichle, R. H., G. J. M. De Lannoy, W. T. Crow, J. Kimball, R. D. Koster, and Q. Liu (2015), The SMAP Level 4 Surface and Root Zone Soil Moisture (L4_SM) data assimilation product, 95th AMS Annual Meeting, Phoenix, AZ, USA.
- Draper, C., R. H. Reichle, A. Da Silva, and B. Scarino (2015), Analysis and bias correction of land surface temperature in the GEOS-5 global atmospheric modeling and assimilation system, 95th AMS Annual Meeting, Phoenix, AZ, USA.
- Draper, C., and R. H. Reichle (2015), Impact on seasonal- and sub-seasonal-scale model soil moisture of assimilating near-surface soil moisture observations with different bias correction approaches, 95th AMS Annual Meeting, Phoenix, AZ, USA.
- Kumar, S. V., C. Peters-Lidard, D. Mocko, R. H. Reichle, K. R. Arsenault, B. F. Zaitchik, Y. Liu, M. B. Ek, H. Kato, and Y. Xia (2015), Multivariate assimilation of satellite-derived remote sensing datasets in the North American Land Data Assimilation System (NLDAS), 95th AMS Annual Meeting, Phoenix, AZ, USA.
- Girotto, M., R. H. Reichle, G. De Lannoy, and M. Rodell (2015), Assimilation of satellite observed brightness temperature and terrestrial water storage into the Catchment land surface model for improved soil moisture estimation, 95th AMS Annual Meeting, Phoenix, AZ, USA.
- Reichle, R. H., G. De Lannoy, W. Crow, J. Kimball, R. Koster, and Q. Liu (2014), The SMAP Level 4 Surface and Root Zone Soil Moisture data assimilation product, AGU Fall Meeting, San Francisco, CA, USA.
- Girotto, M., G. De Lannoy, R. H. Reichle, and M. Rodell (2014), Assimilation of satellite observed brightness temperature and terrestrial water storage into the Catchment land surface model for improved soil moisture estimation, AGU Fall Meeting, San Francisco, CA, USA.
- Yi, Y., J. Kimball, R. H. Reichle, and M. Rawlins (2014), Spring Hydrology Determines Summer Net Carbon Uptake in Northern Ecosystems, AGU Fall Meeting, San Francisco, CA, USA.
- Kumar, S. V., C. D. Peters-Lidard, D. Mocko, R. H. Reichle, B. Zaitchik, A. Getirana, Y. Liu, H. Kato, M. Rodell, K. Arsenault, Y. Xia, and M. Ek (2014), Multivariate assimilation of satellite-derived remote sensing datasets in the North American Land Data Assimilation System (NLDAS), Sixth International Workshop on Catchment-scale Hydrological Modeling and Data Assimilation, Austin, TX, USA.
- Reichle, R. H., G. De Lannoy, Q. Liu, and A. Colliander (2014), Pre-launch development and validation of the SMAP Level 4 Surface and Root Zone Soil Moisture (L4_SM) data product, 7th International Scientific Conference on the Global Water and Energy Cycle, The Hague, The Netherlands.
- Kumar, S. V., C. D. Peters-Lidard, D. Mocko, R. Reichle, B. Zaitchik, Y. Liu, H. Kato, J. Bolten, M. Rodell, K. Arsenault, Y. Xia, and M. Ek (2014), Multivariate assimilation of satellite-derived soil moisture, snow, terrestrial water storage and irrigation intensity in the North American Land Data Assimilation System (NLDAS), 7th International Scientific Conference on the Global Water and Energy Cycle, The Hague, The Netherlands.
- Colliander, A., T. Jackson, S. Dunbar, S. Chan, N. Das, S.-B. Kim, R. Reichle, G. de Lannoy, Q. Liu, J. Kimball, Y. Yi, N. Stavros, C. Derksen, X. Xu, M. Cosh, R. Bindlish, W. Crow, F. Chen, L. Dang, M. Spencer, S. Yueh, and E. Njoku (2014), Pre-Launch Phase 2 Rehearsal of the Calibration and Validation of Soil Moisture Active Passive (SMAP) Geophysical Data Products, IGARSS, Quebec, Canada.
- Albergel, C., W. Dorigo, R. Reichle, G. Balsamo, P. de Rosnay, J. Muñoz-Sabater, L. Isaksen, L. Brocca, R. de Jeu, and W. Wagner (2014), Monitoring Multi-Decadal Satellite Earth Observation of Soil Moisture Using ERA-Land Global Land Water Resources Dataset, IGARSS, Quebec, Canada.
- Al-Yaari, A., J.-P. Wigneron, A. Ducharne, Y. H. Kerr, W. Wagner, R. Reichle, G. De Lannoy, A. Al Bitar, W. Dorigo, M. Parrens, R. Fernández-Morán, P. Richaume, and A. Mialon (2014), Compared Performances of Microwave Passive Soil Moisture Retrievals (SMOS) and Active Soil Moisture Retrievals (ASCAT) Using Land Surface Model Estimates (MERRA-Land), IGARSS, Quebec, Canada.
- De Lannoy, G. J. M., R. H. Reichle and Q. Liu (2014), Assimilation of SMOS Brightness Temperature to Improve Surface and Root-Zone Soil Moisture, 94th AMS Annual Meeting, Atlanta, GA, USA.
- Farhadi, L., R. H. Reichle, G. J. M. De Lannoy, and J. Kimball (2014), Assimilation of Freeze-Thaw Observations into the NASA Catchment Land Surface Model, 94th AMS Annual Meeting, Atlanta, GA, USA.
- Kumar, S. V., C. D. Peters-Lidard, D. M. Mocko, R. H. Reichle, Y. Liu, K. R. Arsenault, Y. Xia, M. Ek, G. A. Riggs, B. Livneh, and M. Cosh (2014), Assimilation of passive microwave-based soil moisture and snow depth retrievals for drought estimation, 94th AMS Annual Meeting, Atlanta, GA, USA.
- Peters-Lidard, C. D., S. V. Kumar, Y. Liu, R. H. Reichle, C. Draper, G. J. M. De Lannoy, J. B. Eylander, J. D. Cetola, M. B. Ek, X. Zhan, and T. R. Holt (2014), Preparing to assimilate current and future land surface products at GMAO, AFWA, NCEP, and NRL using a common data assimilation infrastructure, 94th AMS Annual Meeting, Atlanta, GA, USA.
- Draper, C., R. H. Reichle, B. Scarino, G. J. De Lannoy, and Q. Liu (2014), Assimilation of Geostationary Satellite Land Surface Skin Temperature Observations into the GEOS-5 Global Atmospheric Modeling and Assimilation System, 94th AMS Annual Meeting, Atlanta, GA, USA.
- Colliander, A., and Coauthors (incl. R. H. Reichle) (2013), Pre-Launch Phase 1 Calibration and Validation Rehearsal of Geophysical Data Products of Soil Moisture Active Passive (SMAP) Mission, AGU Fall Meeting, San Francisco, CA, USA.
- Farhadi, L., R. H. Reichle, G. J. De Lannoy, and J. S. Kimball (2013), Assimilation of Freeze-Thaw Observations into the NASA Catchment Land Surface Model, AGU Fall Meeting, San Francisco, CA, USA.
- Forman, B. A., and R. H. Reichle (2013), Estimating Passive Microwave Brightness Temperature over Snow-covered Land in North America Using a Land Surface Model and a Support Vector Machine, AGU Fall Meeting, San Francisco, CA, USA.
- Tarik, S. B, B. A. Forman, G. J. De Lannoy, and R. H. Reichle (2013), Evaluation of the NASA Microwave Radiative Transfer Model for Soil Moisture Estimation using Aquarius Brightness Temperature Observations, AGU Fall Meeting, San Francisco, CA, USA.
- Robertson, F. R., J. B. Roberts, M. G. Bosilovich, R. H. Reichle, R. F. Adler, L. Ricciardulli, W. K. Berg, and G. J. Huffman (2013), Consistency of Estimated Global Water Cycle Variations Over the Satellite Era, AGU Fall Meeting, San Francisco, CA, USA.
- Zaitchik, B. F., M. Rodell, S. V. Kumar, R. H. Reichle, J. D. Bolten, and K. Bergaoui (2013), Advances in the GRACE Data Assimilation System, 6th WMO Symposium on Data Assimilation, College Park, MD, USA.
- Farhadi, L., R. H. Reichle, and G. De Lannoy (2013), Assimilation of freeze-thaw observations into the NASA Catchment land surface model, 6th WMO Symposium on Data Assimilation, College Park, MD, USA.
- Draper, C., Reichle, R. H., R. de Jeu, V. Naeimi, R. Parinussa, and W. Wagner (2013), Estimating root mean square errors in remotely sensed soil moisture observations over continental scale domains, IGARSS, Melbourne, Australia.
- Reichle, R. H., G. De Lannoy, W. Crow, J. Kimball, R. Koster, Q. Liu, and C. Draper (2013), Using SMOS observations for science development of the SMAP Level 4 Surface and Root Zone Soil Moisture algorithm, IGARSS, Melbourne, Australia.
- Albergel, C., and Coauthors (incl. R. H. Reichle) (2013), Monitoring the reliability of Earth observation
soil moisture data through ground measurements and land surface modeling, ESA Soil Moisture Validation and Application Workshop, Frascati, Italy.
- Forman, B. A., and R. H. Reichle (2013), Estimating Passive Microwave Brightness Temperature over Snow-covered Land in North America Using a Land Surface Model and a Support Vector Machine, Eastern Snow Conference, Huntsville, ON, Canada.
- Forman, B. A., and R. H. Reichle (2013), The Spatial Scale of Model Errors and Assimilated Retrievals in a Terrestrial Water Storage Assimilation System, 93rd AMS Annual Meeting, Austin, TX, USA.
- Draper, C., R. H. Reichle and Q. Liu (2013), Assimilation of geostationary satellite land surface skin temperature observations into the GEOS-5 global atmospheric modelling and assimilation system, 93rd AMS Annual Meeting, Austin, TX, USA.
- Ostrenga, D., P. Smith, M. Bosilovich, R. H. Reichle, and A. Da Silva (2013), New Data and Services Available through the Modeling and Assimilation Data and Information Services Center (MDISC) at the GES DISC, 93rd AMS Annual Meeting, Austin, TX, USA.
- De Lannoy, G. J. M., R. H. Reichle, R. D. Koster, and S. Mahanama (2013), The Effect of Revised Soil and Vegetation Properties on Simulated GEOS-5 Land Surface Hydrology, 93rd AMS Annual Meeting, Austin, TX, USA.
- Draper, C., R. H. Reichle, R. de Jeu, V. Naeimi, R. Parinussa, and W. Wagner (2013), Globally estimating root mean square errors in remotely sensed soil moisture, 93rd AMS Annual Meeting, Austin, TX, USA.
- Reichle, R. H., G. J. M. De Lannoy, W. T. Crow, R. D. Koster, J. Kimball, and Q. Liu (2013), Assimilation of SMOS Observations for science development of the SMAP Level 4 Surface and Root-Zone Soil Moisture Product, 93rd AMS Annual Meeting, Austin, TX, USA.
- Yi, Y., J. S. Kimball, L. A. Jones, R. H. Reichle, R. R. Nemani (2012), Application of a satellite-based terrestrial carbon flux model for quantifying recent climate and fire disturbance impacts on northern ecosystem productivity, AGU Fall Meeting, San Francisco, CA, USA.
- Minnis, P., R. Palikonda, T. Chee, K. M. Bedka, W. Smith, J. K. Ayers, S. Benjamin, F.-L. Chang, T. A. Jones, L. Nguyen, P. M. Norris, R. H. Reichle, M. M. Rienecker, A. da Silva, C. R. Yost (2012), Applications for Near-Real Time Satellite Cloud and Radiation Products, AGU Fall Meeting, San Francisco, CA, USA.
- Farhadi, L., R. H. Reichle, and G. De Lannoy (2012), Assimilation of freeze-thaw observations into the NASA Catchment land surface model, AGU Fall Meeting, San Francisco, CA, USA.
- De Lannoy, G. J., R. H. Reichle, and J. A. Vrugt (2012), Posterior uncertainty of GEOS-5 L-band radiative transfer model parameters and brightness temperatures after calibration with SMOS observations, AGU Fall Meeting, San Francisco, CA, USA.
- Forman, B. A., and R. H. Reichle (2012), Passive Microwave Brightness Temperature Prediction over Snow-covered Land Using an Artificial Neural Network and a Land Surface Model, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., G. De Lannoy, W. Crow, R. Koster, and J. Kimball (2012), Assimilation of SMOS observations to generate a prototype SMAP Level 4 Surface and Root Zone Soil Moisture product, IGARSS, Munich, Germany.
- De Lannoy, G., R. H. Reichle, C. Draper, R. Koster, Q. Liu, A. Sahoo, and V. Pauwels (2012), Advances in assimilation of satellite-based passive microwave observations for soil moisture estimation, IGARSS, Munich, Germany.
- Draper, C., R. H. Reichle, G. De Lannoy, and Q. Liu (2012), Assimilation of passive and active soil moisture retrievals, IGARSS, Munich, Germany.
- Pauwels, V., H. Lievens, N. Verhoest, A. Al Bitar, F. Cabot, G. De Lannoy, M. Drusch, G. Dumedah, S. Gascoin, Y. H. Kerr, O. Merlin, M. Pan, D. Plaza Guingla, R. H. Reichle, A. Sahoo, M. J. van den Berg, J. P. Walker, and E. Wood (2012), On the assimilation of multi-angular SMOS data into a hydrologic model for improving surface water management, IGARSS, Munich, Germany.
- Forman, B. A., R. H. Reichle, and C. Derksen (2012), Estimating AMSR-E passive microwave brightness temperature over snow-covered land in North America using a land surface model and an artificial neural network, Eastern Snow Conference, Claryville, NY, USA.
- Bosilovich, M., R. Gelaro, S. Pawson, M. Rienecker, S. Schubert, M. Suarez, A. da Silva, R. H. Reichle, and G. Vernieres (2012), MERRA and beyond: Towards the development of an Integrated Earth System Analysis at GMAO, 4th World Climate Research Programme International Conference on Reanalyses, Silver Spring, MD, USA.
- De Lannoy, G., R. H. Reichle, R. Koster, C. Draper, Q. Liu, and B. Forman (2012), Conceptual Problems (2): Land Surface Data Assimilation, International Space Science Institute Workshop on the Earths Hydrological Cycle, Bern, Switzerland.
- Freeman, A., M. Moghaddam, Y. Lou, W. Crow, R. Cuenca, D. Entekhabi, S. Hensley, D. Hollinger, R. H. Reichle, S. Saatchi, P. Shepson, and S. Wofsy (2012), The EV-1 Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) Investigation, AGU Chapman Conference on Remote Sensing of the Terrestrial Water Cycle, Kona, HI, USA.
- Rodell, M., J. S. Famiglietti, E. B. McWilliams, H. K. Beaudoing, B. Li, B. F. Zaitchik, R. H. Reichle, and J. D. Bolten (2012), Integrating Data from GRACE and Other Observing Systems for Hydrological Research and Applications, AGU Chapman Conference on Remote Sensing of the Terrestrial Water Cycle, Kona, HI, USA.
- Reichle, R. H., Q. Liu, P. Minnis, A. M. da Silva, R. Palikonda, and C. R. Yost (2012), Global Assessment of Land Surface Temperature From Geostationary Satellites and Model Estimates, 92nd AMS Annual Meeting, New Orleans, LA, USA.
- De Lannoy, G. J. M., R. H. Reichle, Q. Liu, and C. Draper (2012), Assimilation of SMOS Observations Into the Catchment Land Surface Model , 92nd AMS Annual Meeting, New Orleans, LA, USA.
- Draper, C., R. H. Reichle, G. J. M. De Lannoy, Q. Liu, R. de Jeu, and W. Wagner (2012), Combining the Assimilation of near-Surface Soil Moisture From Passive and Active Microwave Sensors, 92nd AMS Annual Meeting, New Orleans, LA, USA.
- Maggioni, V., R. H. Reichle, and E. N. Anagnostou (2012), The Impact of Satellite Rainfall Error Characterization on the Estimation of Soil Moisture Fields in a Land Data Assimilation System, 92nd AMS Annual Meeting, New Orleans, LA, USA.
- De Lannoy, G., R. H. Reichle, and V. Pauwels (2012), Using SMOS Observations to Assess and Calibrate Soil Moisture and L-Band Brightness Temperature From the NASA GEOS-5 Modeling and Assimilation System, 92nd AMS Annual Meeting, New Orleans, LA, USA.
- Forman, B., R. H. Reichle, and M. Rodell (2012), Assimilation of Terrestrial Water Storage From GRACE in a Snow-Dominated Basin, 92nd AMS Annual Meeting, New Orleans, LA, USA.
- Li, B., M. Rodell, B. F. Zaitchik, R. H. Reichle, R. D. Koster, and T. M. van Dam (2011), Assimilation of GRACE Terrestrial Water Storage for Land Surface Modeling and Drought Monitoring: a Case Study in Western and Central Europe, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., G. J. De Lannoy, C. Draper, B. Forman, R. D. Koster, Q. Liu, and A. Toure (2011), Satellite-based Land Data Assimilation at NASA/GMAO, AGU Fall Meeting, San Francisco, CA, USA.
- Maggioni, V., E. N. Anagnostou, and R. H. Reichle (2011), The impact of forcing rainfall uncertainty and model parametric uncertainty on soil moisture predictions, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., R. Koster, G. De Lannoy, B. Forman, Q. Liu, S. Mahanama, and A. Toure (2011), Assessment and enhancement of MERRA land surface hydrology estimates, World Climate Research Program Open Science Conference, Denver, CO, USA.
- Reichle, R. H., and J.-F. Mahfouf (2011), Project for the Intercomparison of Land Data Assimilation Systems, World Climate Research Program Open Science Conference, Denver, CO, USA.
- Jones, L. A., Kimball, J. S., R. H. Reichle, and E. F. Wood (2011), Joint uncertainty assessment and statistical merging of multiple model and remote-sensing data records for biogeochemical modeling, World Climate Research Program Open Science Conference, Denver, CO, USA.
- Kimball, J. S., Y. Yi, L. A. Jones, R. H. Reichle, and K. C. McDonald (2011), Monitoring of net ecosystem CO2 exchange for the Soil Moisture Active Passive mission, 34th International Symposium on Remote Sensing of Environment, Sydney, Australia.
- Kumar, S., R. Reichle, M. Shaw, G. De Lannoy, C. Peters-Lidard, D. Hall, J. Foster, and G. Riggs (2011), Global assimilation of multi-sensor snow observations for improved characterization of snow processes, General Assembly of the European Geosciences Union, Vienna, Austria.
- Forman, B., R. H. Reichle, and M. Rodell (2011), Towards Improved Snow Water Equivalent Estimation Via GRACE Assimilation, General Assembly of the European Geosciences Union, Vienna, Austria.
- Reichle, R. H., R. D. Koster, G. J. M. De Lannoy, B. A. Forman, Q. Liu, S. P. P. Mahanama, and A. Toure (2011), Enhancing global land surface hydrology estimates from the NASA
MERRA reanalysis using precipitation observations and model parameter
adjustments, General Assembly of the European Geosciences Union, Vienna, Austria.
- Mueller, B., and Coauthors (incl. R. H. Reichle) (2011), Analyses of global evapotranspiration datasets, General Assembly of the European Geosciences Union, Vienna, Austria.
- Koster, R. D., S. P. P. Mahanama, B. Livneh, D. Lettenmaier, and R. H. Reichle (2011), Prediction of Hydrological Drought: What Can We Learn from Continental-Scale Offline Simulations?, WCRP Workshop on Drought Predictability and Prediction in a Changing Climate, Barcelona, Spain.
- Kumar, S. V., R. H. Reichle, C. D. Peters-Lidard, M. Shaw, D. K. Hall, J. L. Foster, G. A. Riggs, and J. B. Eylander (2011), Evaluation of the impacts of assimilating multi-sensor snow observations on land surface processes, 91st AMS Annual Meeting, Seattle, WA, USA.
- Maggioni, V., R. H. Reichle and E. N. Anagnostou (2011), Investigating the impact of improved rainfall model error characterization on the assimilation of synthetic soil moisture fields in a land data assimilation system, 91st AMS Annual Meeting, Seattle, WA, USA.
- De Lannoy, G. J. M., V. Pauwels, R. H. Reichle, W. P. Kustas, T. Gish, P. R. Houser, A. Russ, and N. Verhoest (2011), Field-Scale Soil Moisture Assimilation: State, Parameter or Bias Estimation?, 91st AMS Annual Meeting, Seattle, WA, USA.
- Koster, R. D., S. Mahanama, B. Livneh, D. P. Lettenmaier, and R. H. Reichle (2011), Predicting hydrological drought: relative contributions of soil moisture and snow information to seasonal streamflow forecast skill, 91st AMS Annual Meeting, Seattle, WA, USA.
- De Lannoy, G. J. M., R. H. Reichle, W. T. Crow, R. D. Koster, J. Kimball, and Q. Liu (2011), Comparison of Modeled and SMOS-Observed Surface Soil Moisture Estimates in Preparation for the SMAP L4_SM Assimilation Product, 91st AMS Annual Meeting, Seattle, WA, USA.
- Reichle, R. H., Q. Liu, R. Bindlish, M. Cosh, W. T. Crow, R. de Jeu, G. De Lannoy, G. J. Huffman, and T. J. Jackson (2011), Contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system, 91st AMS Annual Meeting, Seattle, WA, USA.
- Kimball, J. S., Y. Yi, L. A. Jones, R. R. Nemani, R. H. Reichle, and K. C. McDonald (2010), Implementing a Terrestrial Carbon Flux Model in Preparation for the Soil Moisture Active Passive Mission, AGU Fall Meeting, San Francisco, CA, USA.
- Yi, Y., J. S. Kimball, L. A. Jones, R. H. Reichle, and K. C. McDonald (2010), Evaluation of MERRA land surface estimates in preparation for the Soil Moisture Active Passive (SMAP) mission, AGU Fall Meeting, San Francisco, CA, USA.
- Jones, L. A., J. S. Kimball, R. H. Reichle, and E. F. Wood (2010), Statistical error estimation and optimal merging of MERRA and AMSR-E soil moisture and temperature datasets in preparation for SMAP, AGU Fall Meeting, San Francisco, CA, USA.
- Houborg, R., M. Rodell, B. F. Zaitchik, and R. H. Reichle (2010), Impact of GRACE Data Assimilation on the Simulation of Hydrologic States Across North America, AGU Fall Meeting, San Francisco, CA, USA.
- Maggioni, V., E. N. Anagnostou, and R. H. Reichle (2010), Sensitivity Analysis of Satellite Rainfall Forcing and Land-surface Model Parameter Uncertainty on Soil Moisture Prediction, AGU Fall Meeting, San Francisco, CA, USA.
- Koster, R. D., R. H. Reichle, G. J. M. De Lannoy, B. A. Forman, Q. Liu, and A. Toure (2010), Land Data Assimilation Activities in the NASA Global
Modeling and Assimilation Office, US CLIVAR Workshop on Evaluation of Reanalyses, Baltimore, MD, USA.
- Kumar, S. V., R. H. Reichle, M. Shaw, C. Peters-Lidard, D. Hall, J. Foster, G. Riggs, and J. Eylander (2010), Assimilation of multi-sensor snow observations for improved characterization of snow processes, Remote Sensing and Hydrology Symposium, Jackson Hole, WY, USA.
- Reichle, R. H., W. Crow, G. De Lannoy, Q. Liu, R. Koster, and J. Kimball (2010), The SMAP Level 4 Surface and Root Zone Soil Moisture Product, Remote Sensing and Hydrology Symposium, Jackson Hole, WY, USA.
- Mueller, B., and Coauthors (incl. R. H. Reichle) (2010), Evaluation of global evapotranspiration datasets: The LandFlux-Eval project, Fourth International Workshop on Catchment-scale Hydrological Modeling and Data Assimilation, Lhasa, Tibet, China.
- Houborg, R., M. Rodell, J. Lawrimore, B. Li, R. H. Reichle, R. Heim, M. Rosencrans, R. Tinker, J. Famiglietti, M. Svoboda, B. Wardlow, B. Zaitchik (2010), Using enhanced GRACE water storage data to improve drought detection by the U.S. and North American Drought Monitors, IGARSS, Honolulu, HI, USA.
- Reichle, R. H., W. Crow, R. Koster, and J. Kimball (2010), The SMAP Level 4 Surface and Root Zone Soil Moisture Product, IGARSS, Honolulu, HI, USA.
- Seneviratne, S., and Coauthors (incl. R. H. Reichle) (2010), The LandFlux-EVAL Initiative, Second International Conference on Hydrology Delivers Earth System Science to Society, Tokyo, Japan.
- Reichle, R. H., W. Crow, D. Entekhabi, J. Kimball, R. Koster, E. Njoku, and P. O'Neill (2010), Global High Resolution Mapping and Assimilation of Soil Moisture Observations from the SMAP Radar and Radiometer, General Assembly of the European Geosciences Union, Vienna, Austria.
- Maggioni, V., E. Anagnostou, and R. H. Reichle (2010), Investigating the impact of improved satellite-rainfall error characterization on soil moisture simulations by land surface modeling, General Assembly of the European Geosciences Union, Vienna, Austria.
- Peters-Lidard, C. D., S. V. Kumar, J. A. Santanello Jr., R. H. Reichle, J. B. Eylander, and M. B. Ek (2010), Multi-Scale Hydrometeorological Modeling, Land Data Assimilation and Parameter Estimation with the Land Information System, Fourth Federal Interagency Hydrologic Modeling Conference, Las Vegas, NV, USA.
- Tedesco, M., P. Narvekar, R. Kelly, J. Foster, and R. H. Reichle (2010), Assessment and development of the NASA AMSR-E SWE algorithm, 11th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRAD), Washington, DC, USA.
- Houborg, R., M. Rodell, J. S. Famiglietti, R. Heim, J. Lawrimore, B. Li, R. H. Reichle, M. Rosencranz, M. Svoboda, B. D. Wardlow, and B. F. Zaitchik (2010), Towards integrating GRACE terrestrial water storage data into the U.S. and North American Drought Monitors, 90th AMS Annual Meeting, Atlanta, GA, USA.
- Reichle, R. H., W. T. Crow, R. D. Koster, and J. Kimball (2010), The SMAP Level 4 Surface and Root-zone Soil Moisture (L4_SM) product, 90th AMS Annual Meeting, Atlanta, GA, USA.
- Holmes, T., T. Jackson, R. H. Reichle, J. Basara (2009), Validation of soil temperature dataset against ground measurements in Oklahoma, AGU Fall Meeting, San Francisco, CA, USA.
- Jones, L. A., J. S. Kimball, R. H. Reichle, K. Zhang, K. C. McDonald (2009), Satellite Remote Sensing of Net Ecosystem CO2 Exchange using optical-IR and Microwave sensors: Algorithm Development for the SMAP Decadal Survey Mission, AGU Fall Meeting, San Francisco, CA, USA.
- Sahoo, A., G. J. M. De Lannoy, R. H. Reichle, P. R. Houser, L. Gates (2009), Assimilation of Satellite Observed Soil Moisture into the Noah Land Surface Model Using the 3-D EnKF Technique, AGU Fall Meeting, San Francisco, CA, USA.
- De Lannoy, G. J. M., R. H. Reichle, P. R. Houser, K. R. Arsenault, N. E. C. Verhoest, and V. R. N. Pauwels (2009), Fine scale snow analyses improvement through coarse scale snow water equivalent assimilation, Fifth WMO Symposium on Data Assimilation, Melbourne, Australia.
- Crow, W. T., R. H. Reichle, R. D. Koster, and J. Kimball (2009), Land Data Assimilation Activities in Preparation of the NASA Soil Moisture Active Passive (SMAP) Mission, Fifth WMO Symposium on Data Assimilation, Melbourne, Australia.
- Peters-Lidard, C. D., S. V. Kumar, J. A. Santanello Jr., and R. H. Reichle (2009), Multi-scale hydrometeorological modeling, land data assimilation and parameter estimation with the land information system, Sixth International Scientific Conference on the Global Energy and Water Cycle, Melbourne, Australia.
- Reichle, R. H., and Coauthors (2009), Global High Resolution Mapping and Assimilation of Soil Moisture
Observations from the SMAP Radar and Radiometer , Sixth International Scientific Conference on the Global Energy and Water Cycle, Melbourne, Australia.
- Mahanama, S., R. H. Reichle, R. D. Koster, and D. Lettenmaier (2009), Contribution of Soil Moisture Information to Streamflow Prediction in the Snowmelt Season: A Continental-Scale Analysis, Sixth International Scientific Conference on the Global Energy and Water Cycle, Melbourne, Australia.
- Entekhabi, D., and Coauthors (incl. R. H. Reichle) (2009), High resolution mapping of soil moisture with SMAP radar
and radiometer in support of new approaches to water cycle science
and applications, IGARSS, Cape Town, South Africa.
- Kumar, S. V., R. H. Reichle, and C. D. Peters-Lidard (2009), Comparison of bias mitigation strategies for skin temperature assimilation, 88th AMS Annual Meeting, Phoenix, AZ, USA.
- Reichle, R. H., S. V. Kumar, S. P. P., Mahanama, and R. D. Koster (2008), Bias estimation and assimilation of land surface temperature, AGU Fall Meeting, San Francisco, CA, USA.
- Liu, Q. and R. H. Reichle (2008), Estimating the observation error of AMSR-E soil moisture retrievals through adaptive data assimilation, AGU Fall Meeting, San Francisco, CA, USA.
- Peters-Lidard, C. D., S. V. Kumar, J. A. Santanello, Y. Tian, M. Rodell, D. Mocko, and R. Reichle (2008), High Performance Hydrometeorological Modeling, Land Data Assimilation and Parameter Estimation with the Land Information System at NASA/GSFC, AGU Fall Meeting, San Francisco, CA, USA.
- Peters-Lidard, C. D., S. V. Kumar, J. A. Santanello, Y. Tian, M. Rodell, D. Mocko, and R. Reichle (2008), High Resolution Land Data Assimilation Supported by NASA/GSFC and the Land Information System (LIS), USGEO-CGEO Workshop on Water and Ice, Arlington, VA, USA.
- Reichle, R. H., W. T. Crow, R. D. Koster, H. Sharif, and S. P. P. Mahanama (2008), An Observing System Simulation Experiment (OSSE) framework for the SMAP Level 4 soil moisture data assimilation products, Microwave Land Hydrology Workshop, Oxnard, CA, USA.
- Tedesco, M., R. Kelly, J. Foster, R. Reichle, J. Wang, E. J. Kim, and J. Miller (2008), Maintenance, validation, and improvement of the NASA AMSR-E SWE product, Microwave Land Hydrology Workshop, Oxnard, CA, USA.
- Reichle, R. H., S. Kumar, R. Koster, C. Peters-Lidard, and W. Crow (2008), Impact of land model physics on soil moisture assimilation, IGARSS, Boston, MA, USA.
- Tedesco, M., A. Loew, T. Markus, and R. Reichle (2008), A radiance-based assimilation framework for the retrieval of SWE and snow depth from AMSR-E and SSM/I data, IGARSS, Boston, MA, USA.
- Mahanama, S. P., R. D. Koster, R. H. Reichle, and L. Zubair (2008), The Role of Soil Moisture Initialization in Sub-seasonal and Seasonal Streamflow Prediction, AGU Joint Assembly, Ft. Lauderdale, FL, USA.
- S. V. Kumar, C. Peters-Lidard, and R. H. Reichle (2008), Land surface modeling and data assimilation with the Land Information System, AGU Joint Assembly, Ft. Lauderdale, FL, USA.
- Reichle, R. H., and M. G. Bosilovich (2008), Issues regarding the assimilation of satellite retrievals of land surface temperature into land surface models, International Workshop on the Retrieval and Use of Land Surface Temperature, Asheville, NC, USA.
- Kumar, S. V., Reichle, R. H., and C. Peters-Lidard (2008), Skin temperature data assimilation in the Land Information System (LIS), International Workshop on the Retrieval and Use of Land Surface Temperature, Asheville, NC, USA.
- Schubert, S. et al. (2008), Assimilating Earth System Observations at NASA: MERRA and Beyond, Third WCRP International Conference on Reanalysis, Tokyo, Japan.
- Rodell, M., B. Zaitchik, and R. H. Reichle (2008), Assimilation of GRACE Derived Terrestrial Water Storage Data, Third International Workshop on Catchment-scale Hydrological Modeling and Data Assimilation, Melbourne, Australia.
- Mitchell, K., J. D. Tarpley, C. Peters-Lidard, M. A. Friedl, X. Zeng, L. Jiang, R. H. Reichle, P. R. Houser, and X. Zhan (2008), Satellite-Derived Land Surface Fields in the Data Assimilation, Validation and Forcing of the Land Component of NCEP Global and Regional Weather and Climate Prediction Models, 88th AMS Annual Meeting, New Orleans, LA, USA.
- Mahanama, S., R. D. Koster, J. T. Bacmeister, R. H. Reichle, and M. J. Suarez (2008), Land-atmosphere coupling strength in the GEOS-5 AGCM, 88th AMS Annual Meeting, New Orleans, LA, USA.
- Reichle, R. H., W. T. Crow, R. D. Koster, H. O. Sharif, S. P. Mahanama (2007), The contribution of soil moisture retrievals to land data assimilation products, AGU Fall Meeting, San Francisco, USA.
- Crow, W. T. and R. H. Reichle (2007), The development of adaptive filtering techniques for land surface models, AGU Fall Meeting, San Francisco, USA.
- Reichle, R. H., W. Crow, R. D. Koster, H. Sharif, and S. Mahanama (2007), A data assimilation OSSE for assessing uncertainty and utility of soil moisture retrievals, AGU Joint Assembly, Acapulco, Mexico.
- Mahanama, S. P. P., R. H. Reichle, L. Zubair, and R. D. Koster (2007), Soil Moisture Memory and Predictability of Seasonal Streamflow in Sri Lanka, AGU Joint Assembly, Acapulco, Mexico.
- Kumar, S. V., R. H. Reichle, C. Peters-Lidard, and R. Koster (2007), An Integrated System for Sequential Hydrologic Data Assimilation using the Land Information System, AGU Joint Assembly, Acapulco, Mexico.
- Reichle, R. H., R. D. Koster, P. Liu, S. P. P. Mahanama, E. G. Njoku, and M. Owe (2007), Comparison and assimilation of global soil moisture retrievals from AMSRE and SMMR, Workshop on Satellite Observations of the Global Water Cycle, Beckman Center of the National Academies, Irvine, CA, USA.
- Reichle, R. H., W. Crow, R. Koster, H. Sharif, and S. Mahanama (2007), Assessment of uncertainty and utility of soil moisture retrievals in a data assimilation experiment, 87th AMS Annual Meeting, San Antonio, TX, USA.
- Mahanama, S., R. D. Koster, J. T. Bacmeister, P. Liu, M. J. Suarez, and R. H. Reichle (2007), Single column model analysis of land-atmosphere coupling strength, 87th AMS Annual Meeting, San Antonio, TX, USA.
- De Lannoy, G. J., R. H. Reichle, P. R. Houser, V. R. Pauwels, and N. E. Verhoest (2006), Ensemble Kalman Filtering of Soil Moisture Observations With Model Bias Correction, AGU Fall Meeting, San Francisco, CA, USA.
- Reichle, R. H., W. Crow, R. D. Koster, H. Sharif, and S. Mahanama (2006), Assessing the impact of errors in soil moisture retrievals on their utility in a data assimilation system, AGU Fall Meeting, San Francisco, CA, USA.
- Pinheiro, A. C., R. H. Reichle, S. Kumar, K. Arsenault, J. L. Privette, and Y. Yu (2006), Determining the required accuracy of LST products for estimating surface energy fluxes, AGU Fall Meeting, San Francisco, CA, USA.
- Kim, E., M. Tedesco, R. H. Reichle, B. Choudhury, J. Foster, D. Hall, C. Peters-Lidard, and G. Riggs (2006), The Goddard Snow Radiance Assimilation Project: an Integrated Snow Radiance and Snow Physics Modeling Framework for Snow/Cold Land Surface Modeling, AGU Fall Meeting, San Francisco, CA, USA.
- Zaitchik, B. F., M. Rodell, R. H. Reichle, and F. G. Lemoine (2006), Assimilating GRACE observations into the Catchment LSM: results for the Mississippi basin, AGU Fall Meeting, San Francisco, CA, USA.
- Kumar, S. V., C. D. Peters-Lidard, J. Eylander, R. H. Reichle, W. Crow, X. Zhan, P. Houser, R. Koster, M. Suarez, and J. Dong (2006), A Generic Interoperable, Hydrologic Data Assimilation Framework using the Land Information System, AGU Fall Meeting, San Francisco, CA, USA.
- Pinheiro, A., S. Kumar, R. Reichle, J. L. Privette, Y. Yu, and K. Arsenault (2006), Determining the required accuracy of LST products for estimating surface energy fluxes, Workshop on Recent Advances in Quantitative Remote Sensing, Valencia, Spain.
- Rienecker, M. M., M. J. Suarez, R. D. Koster, R. H. Reichle, C. Keppenne, D. Adamec and S. D. Schubert (2006), Improving Short-term Climate Forecasts with Satellite Observations, IGARSS, Denver, CO, USA.
- Koster, R. D., M. J. Suarez, S. D. Schubert, R. H. Reichle (2006), Using Observed Spatial Correlation Structures of Rainfall and Temperature to Improve the Skill of Subseasonal Forecasts Relying on Land Surface Moisture Initialization, AGU Spring Meeting, Baltimore, USA.
- Bosilovich, M. G., C. P. Lidard, M. Rodell, R. H. Reichle, G. Compo, P. Dirmeyer, and P. Houser (2006), Land Data Reanalyses, Meeting of the National Research Council's Climate Research Committee, Washington, DC, USA.
- Reichle, R. H., S. Mahanama, R. D. Koster, J. D. Radakovich, and M. G. Bosilovich (2006), A new look at the assimilation of satellite retrievals of land surface temperature into a land surface model, 86th AMS Annual Meeting, Atlanta, GA, USA.
- Reichle, R. H., R. D. Koster, and P. Liu (2006), Assimilation of global AMSR-E surface soil moisture into the NASA Catchment land surface model, 86th AMS Annual Meeting, Atlanta, GA, USA.
- Seneviratne, S. I., R. H. Reichle, R. D. Koster, and M. Hirschi (2005), Assimilation of basin-scale estimates of terrestrial water storage variations in a catchment-based land surface model, General Assembly of the European Geosciences Union, Vienna, Austria.
- Seneviratne, S. I., R. H. Reichle, and R. D. Koster (2005), Assimilation of basin-scale water-balance estimates of monthly terrestrial water-storage variations in a catchment-based land surface model, 5th International Scientific Conference on the Global Energy and Water Cycle, Orange County, CA, USA.
- Reichle, R. H. and R. D. Koster (2005), Bias reduction and assimilation of short records of satellite soil moisture, 85th AMS Annual Meeting, San Diego, CA, USA.
- Pegion, P., S. Schubert, R. Koster, M. Suarez, R. H. Reichle, and P. Liu (2004), The European Heatwave of 2003: A Modeling Study Using the NSIPP-1 AGCM, 29th NOAA Annual Climate Diagnostics and Prediction Workshop, Madison, Wisconsin, USA.
- Kurkowski, N., R. H. Reichle, S. Miller, J. Gottschalck, R. Koster, P. Liu, J. Meng, P. Pegion, M. Rodell, S. Schubert, and M. Suarez (2004), Impact of Land Initialization on Coupled Seasonal Forecasts during Summer 2004, 29th NOAA Annual Climate Diagnostics and Prediction Workshop, Madison, Wisconsin, USA.
- Reichle, R. H., R. D. Koster, and S. P. P. Mahanama (2004), Bias correction of satellite soil moisture and assimilation into the NASA Catchment land surface model, Second International Workshop on Catchment-scale Hydrological Modeling and Data Assimilation, Princeton, NJ, USA.
- Seneviratne, S. I., R. H. Reichle, R. D. Koster, S. P. P. Mahanama, M. Hirschi, and C. Schär (2004), Basin-scale water-balance estimates of terrestrial water-storage variations: Potential for data assimilation, Second International Workshop on Catchment-scale Hydrological Modeling and Data Assimilation, Princeton, NJ, USA.
- Reichle, R. H., R. D. Koster, and J. Dong (2004), On global soil moisture from satellite observations, land surface models, and ground data, and implications for land data assimilation, 84th AMS Annual Meeting, Seattle, WA, USA.
- Ni-Meister, W., J. Walker, P. Houser, and R. H. Reichle (2004), Soil moisture initialization for climate prediction through data assimilation, 84th AMS Annual Meeting, Seattle, WA, USA.
- Reichle, R. H. and R. D. Koster (2003), Assessing the impact of horizontal error correlations in background fields on soil moisture estimation with the ensemble Kalman filter, Workshop on Ensemble Weather Forecasting in the Short to Medium Range, Val-Morin, Quebec, Canada.
- Reichle, R. H. and R. D. Koster (2003), Assessing the impact of horizontal error correlations in forcing data on soil moisture estimation, 83rd AMS Annual Meeting, Long Beach, CA, USA.
- Koster, R. D., M. J. Suarez, M. Rodell, U. Jambor, P. Liu, R. H. Reichle, and P. Houser (2003), Improved Land Surface Initial Conditions for Seasonal Weather Forecasts, 83rd AMS Annual Meeting, Long Beach, CA, USA.
- Reichle, R. H., R. D. Koster, W. Ni-Meister, and P. R. Houser (2002), A parallel Ensemble Kalman filter for four-dimensional land data assimilation, AGU Fall Meeting, San Francisco, CA, USA.
- Ni-Meister, W., J. Walker, R. H. Reichle, P. Houser and R. Koster (2002), Soil Moisture Intialization for Climate Predictions: Assimilating SMMR into a Land Surface Model, AGU Fall Meeting, San Francisco, CA, USA.
- Zhan, X., J. Entin, P. R. Houser, R. H. Reichle, and J. P. Walker (2002), Application of Kalman Filtering for Soil Moisture Data Assimilation in GSFC's Land Data Assimilation System, AGU Spring Meeting, Washington, DC, USA.
- Reichle, R. H., R. D. Koster, J. P. Walker, M. M. Rienecker, and P. R. Houser (2002), Aspects of the Extended and Ensemble Kalman filters for land data assimilation in the NASA Seasonal-to-Interannual Prediction Project, 82nd AMS Annual Meeting, Orlando, FL, USA.
- Reichle, R. H., J. P. Walker, R. D. Koster, M. M. Rienecker, and P. R. Houser (2001), Assimilation of soil moisture with the Ensemble Kalman filter in support of NASA's Seasonal-to-Interannual Prediction Project, International Workshop on Catchment-scale Hydrological Modeling and Data Assimilation, Wageningen, Netherlands.
- Reichle, R. H., D. B McLaughlin, and D. Entekhabi (2001), Soil Moisture Data Assimilation with the Ensemble Kalman Filter, AGU Spring Meeting, Boston, MA, USA.
- Reichle, R. H., D. B McLaughlin, and D. Entekhabi (2000), Variational data assimilation of soil moisture and temperature from remote sensing observations, 80th AMS Annual Meeting, Long Beach, CA, USA.
- Reichle, R. H., D. B McLaughlin, and D. Entekhabi (1999), Four-dimensional Data Assimilation and Down-Scaling of Remote Sensing SGP97 Observations for the Estimation of Profile Soil Moisture and Soil Temperature, 79th AMS Annual Meeting, Dallas, Texas, USA.
- McLaughlin, D. B., D. Entekhabi, R. H. Reichle, and S. J. Luis (1998), Using Data Assimilation to Infer Soil Moisture From Remotely-Sensed Observations, AGU Spring Meeting, Boston, MA, USA.
- Devereaux, J. A., J. S. Famiglietti, M. L. Branstetter, S. T. Graham, K. I. Mohr, M. Rodell, G. Kim, D. Miller, E. Amano, J. Levine, R. H. Reichle, and T. J. Jackson (1997), Correlation of Remotely Sensed Soil Moisture Content With Gravimetric and Impedance Probe Measurements at Two Sites During SGP97, AGU Fall Meeting, San Francisco, CA, USA.
- Rolf H Reichle: Variational Assimilation of Remote Sensing Data for Land Surface Hydrologic Applications, PhD Dissertation, Dept. of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA, Feb 2000
- Rolf H Reichle: Zeitabhängige effektive Parameter in homogenen und heterogenen Transport-Modellen mit kinetischem Austausch, MS Thesis, Fakultät für Physik und Astronomie, Institut für Umweltphysik, Universität Heidelberg, Heidelberg, Germany, 1996.
Curriculum Vitae
- [08/2008 - present]
- Research Scientist at the Global Modeling and Assimilation Office, NASA Goddard Space Flight Center
- [08/2008 - 05/2011]
- Fellow at the Goddard Earth Sciences and Technology Center at UMBC
- [07/2005 - 07/2008]
- Associate Research Scientist at the Goddard Earth Sciences and Technology Center at UMBC (hosted at the Global Modeling and Assimilation Office, NASA Goddard Space Flight Center)
- [01/2001 - 06/2005]
- Assistant Research Scientist at the Goddard Earth Sciences and Technology Center at UMBC (hosted at the Global Modeling and Assimilation Office, NASA Goddard Space Flight Center)
- [02/2000 - 12/2000]
- Postdoctoral Research Associate at the Ralph M. Parsons Laboratory, Dept. of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- [08/1996 - 02/2000]
- PhD candidate and Research Assistant at the Ralph M. Parsons Laboratory, Dept. of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- [04/1996 - 07/1996]
- Research and Teaching Assistant at the Institute of Environmental Engineering (IfU), Swiss Federal Institute of Technology (ETH), Zürich, Switzerland
- [05/1993 - 03/1996]
- MS in Physics at the Dept. of Physics, Institute of Environmental Physics , Heidelberg University, Heidelberg, Germany
- [08/1992 - 04/1993]
- Exchange student at the University of Montpellier, Montpellier, France
- [04/1990 - 07/1992]
- BS in Physics, BS in Mathematics, Heidelberg University, Heidelberg, Germany