PUBLICATIONS
REFEREED PUBLICATIONS - 2023
Arnold, N. P., R. D. Koster and A.I. Trayanov, 2023. Representing the subgrid surface heterogeneity of precipitation in a general circulation model. Journal of Advances in Modeling Earth Systems , 15 (9)doi.org/10.1029/2022MS003562 Link to Published Version
Arteaga, L. A., and C. S. Rousseaux, 2023. Impact of Pacific Ocean heatwaves on phytoplankton community composition. Nature Climate Change , 6, 263. doi:10.1038/s42003-023-04645-0 Link to Published Version
Balashov, N., Huff, A.,and Thompson, A., 2023. Interpretation of Probabilistic Surface Ozone Forecasts: A Case Study for Philadelphia. AMS , 38 (10), 1895-1906. doi.org/10.1175/WAF-D-22-0185.1 Link to Published Version
Balashov, N., Ott, E., Weir, B., Sourish, B., Davis, K., Miles, N., Thompson, A., and Stauffer, R., 2023. Flood Impacts on Net Ecosystem Exchange in the Midwestern and Southern United States in 2019. JGR Atmospheres , 128 (18)doi.org/10.1029/2022JD037697 Link to Published Version
Becker, J. S., M. N. DeLang, K.-L. Chang, M. L. Serre, O. R. Cooper, H. Wang, M. G. Schultz, X. Lu, L. Zhang, M.Deushi, B. Josse, C. A. Keller, J. -F. Lamarque, M. Lin, J. Liu, V. Marecal, S. A. Strode, K. Sudo, S. Tilmes, L. Zhang, M. Brauer,and J. J. West, 2023. Using Regionalized Air Quality Model Performance and Bayesian Maximum Entropy data fusion to map global surface ozone concentration. Elem. Sci. Anth. doi.org/10.1525/elementa.2022.00025 Link to Published Version
Chattapadhyay, M., S. Akella, J. Kim, and C. Bloecker, 2023. Direct Assimilation of AVHRR Satellite Radiance measurements in a Reanalysis System. Quarterly Journal of the Royal Meteorological Society doi.org/10.1002/qj.4583 Link to Published Version
Cramwinckel, M., Burls, N., Fahad, A., Knapp, S., West, C., Reichgelt, T., Greenwood, D., Chan, W., Donnadieu, Y., and et. al, 2023. Global and Zonal-Mean Hydrological Response to Early Eocene Warmth. Paleoceanography and Paleoclimatology , 68 (6)doi.org/10.1029/2022PA004542 Link to Published Version
Dentener, F., Mills, G., da Silva, A., Smith, W., and Hort, W., 2023. Interactions of Agriculture and Air Quality. WMO Climate and Air Quality Bulletin Link to Published Version
Dezfuli, A., 2023. Climate extremes and Middle East protests: Lessons from 2021. Nature Middle East doi:10.1038/nmiddleeast.2023.33 Link to Published Version
Dibia, E., R.H. 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, 2023 Link to Published Version
Dietze, M.C., R. Q. Thomas, J. Peters, C. Boettiger, G. Koren, A. N. Shiklomanov, and J. Ashander, 2023. A community convention for ecological forecasting: output files and metadata version 1.0. Ecosphere , 14 (11)doi.org/10.1002/ecs2.4686 Link to Published Version
El Akkraoui, A., Privé, N., Errico, R., and Todling, T., 2023. The GMAO Hybrid 4D-EnVar Observing System Simulation Experiment Framework. Monthly Weather Review , 151 (7), 1717-1734. doi.org/10.1175/MWR-D-22-0254.1 Link to Published Version
Fahad, A. A., A. Molod, D. Menemenlis, P. Heimbach, A. Trayanov, E. Strobach, L. Coy, and K. Wargan, 2023. The Nonlinear Northern Hemisphere Stratospheric Temperature Response to External Radiative Forcing in Decadal Climate Simulations. Climate Dynamics doi.org/10.21203/rs.3.rs-1892797/v1 Link to Published Version
Fahad, A. A., O. Reale, A. Molod, T. A. Sany, M. T. Ahammad, and D. Menemenlis, 2023. The Role of Tropical Easterly Jet on the Bay of Bengal's Tropical Cyclones: Observed Climatology and Future Projection. J. Climate , 1-34. doi.org/10.1175/JCLI-D-22-0804.1 Link to Published Version
Fahad, A. A., M. Hasan, N. Sharmili, S. Islam, E. T. Swenson, and M. K. Roxy, 2023. Climate change quadruples flood-causing extreme monsoon rainfall events in Bangladesh and northeast India. Q. J. R. Meteorol. Soc. doi.org/10.1002/qj.4645 Link to Published Version
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 Link to Published Version
Gambacorta, A., M. Stephen, F. Gambini, J. Santanello, J. Piepmeier, J. Blaisdell, I. Moradi, Y. Zhu, W. McCarty, W. Blumberg, R. Rosenberg, P. Mahammed, D. Sullivan, D. Wu, J. Susskind, P. Racette, 2023. Advancing Atmospheric Thermodynamic Sounding From Space Using Hyperspectral Microwave Measurements. Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 5204-5218. 10.1109/JSTARS.2023.3269697 Link to Published Version
Gilpin, S., T. Matsuo and S. E. Cohn, 2023. A generalized, compactly-supported correlation function for data assimilation applications. Quarterly Journal of the Royal Meteorological Society , 149, 1953-1989. doi.org/10.1002/qj.4490 Link to Published Version
Hackert, E., Akella, S., Ren, L., Nakada, K., Carton, J., Molod, A., 2023. Impact of the TAO/TRITON Array on reanalyses and predictions of the 2015 El Niño. Journal of Geophysical Research, Oceans , 128 (11)doi.org/10.1029/2023JC020039 Link to Published Version
Johnson, B., Dang, C., Stegman, P., Liu, Q., Moradi, I., and Auligne, T., 2023. The Community Radiative Transfer Model (CRTM): Community-Focused Collaborative Model Development Accelerating Research to Operations. BAMS DOI10.1175/BAMS-D-22-0015.1 Link to Published Version
Kalnay, E., Sluka, T., Yoshida, T., Da, C., and Mote, S., 2023. Towards strongly coupled ensemble data assimilation with additional improvements from machine learning. NPG , 30 (2)doi.org/10.5194/npg-30-217-2023 Link to Published Version
Kelp, M., Keller, C., Wargan, K., Karpowicz, B.,and Jacob, D., 2023. Tropospheric ozone data assimilation in the NASA GEOS Composition Forecast modeling system (GEOS-CF v2.0) using satellite data for ozone vertical profiles (MLS), total ozone columns (OMI), and thermal infrared radiances (AIRS. Environmental Research Letters DOI 10.1088/1748-9326/acf0b7 Link to Published Version
Koster, R., Liu, Q., Crow, W., Reichle, R., 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 Link to Published Version
Kramarova, N. A., P. A. Newman, E. R. Nash, S. E. Strahan, B. Johnson, M. Pitts, M. L. Santee, I. Petropavlovskikh, L. Coy, and J. De Laat, 2023. 2023: 2022 Antarctic Ozone Hole [in “State of the Climate in 2022"]. Bull. Amer. Meteor. Soc , 104 (9), S322-S365. doi.org/10.1175/BAMS-D-23-0077.1 Link to Published Version
Lim, Y.-K., D. L. Wu, K.-M. Kim, and J. N. Lee, 2023. Decadal Changes in the Antarctic Sea Ice Response to the Changing ENSO in the Last Four Decades. Atmosphere , 14 (11), 1659. doi.org/10.3390/atmos14111659 Link to Published Version
Lin, B., M.W. Mclinden, G.M. Heymsfield, Y. Hu, N. Privé, L. Li, S. Harrah, K. Horgan, X. Cai, and J. Carswell, 2023. Simulations of sea surface reflection for V-band O2 differential absorption radar barometry. Frontiers in Remote Sensing , 14, doi:10.3389/frsen.2023.1105627 Link to Published Version
Mallen, A., N. Kutz and C. A. Keller, 2023. Koopman-theoretic Approach for Identification of Exogenous Anomalies in Nonstationary Time-series Data. Machine Learning, Science and Technology DOI 10.1088/2632-2153/acdd50 Link to Published Version
Massoud, E. C., L. C. 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 Link to Published Version
Metz, E., Vardag, S., Basu, S., Jung, M., Ahrens, B., El-Madany, T., Stich, S.,and et. al, 2023. Soil respiration–driven CO2 pulses dominate Australia’s flux variability. Science , 379 (6639), 1332-1335. DOI:10.1126/science.add7833 Link to Published Version
Moradi, I., B. Johnson, P. Stegmann, D. Holdaway, G. Heymsfield, R. Gelaro, and W. McCarty, 2023. Developing a Radar Signal Simulator for the Community Radiative Transfer Model. IEEE , 6110.1109/TGRS.2023.3330067 Link to Published Version
Privé, N. C., E. L. McGrath, D. Carvalho, B. M. Karpowicz, and I. Moradi, 2023. Robustness of Observing System Simulation Experiments. Tellus-A , 75 (1), 309-333. 10.16993/tellusa.3254 Link to Published Version
Privé, N.C., McLinden, M., Bing, L., Moradi, I., Sienkiewicz, M., Heymsfield, G. M.,and McCarty, W., 2023. Impacts of marine surface pressure observations from a spaceborne differential absorption radar investigated with an observing system simulation experiment. JTECH , 40 (8), 897-918. doi.org/10.1175/JTECH-D-22-0088.1 Link to Published Version
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 doi.org/10.1002/qj.4486 Link to Published Version
Reichle, R., Liu, Q., Ardizzone, J., Crow, W., De Lannoy, G. J. M., Kimball, J., and Koster, R., 2023. IMERG Precipitation Improves the SMAP Level-4 Soil Moisture Product. Journal of Hydrometeorology DOI: 10.1175/JHM-D-23-0063.1 Link to Published Version
Reid, J.S., H.B. Maring, G. Narisma,S. van den Heever, et al., 2023. The coupling between tropical meteorology, aerosol lifecycle, convection, and radiation, during the Clouds, Aerosol and Monsoon Processes Philippines Experiment (CAMP2Ex). Bulletin of the American Meteorological Society , 104 (6), E1179-E1205. doi.org/10.1175/BAMS-D-21-0285.1 Link to Published Version
Sarmiento, J. L., K. Johnson, L. A. Arteaga, S. M. Bushinsky, H. M. Cullen, A. R. Gray, R. Hostinski, T. L. Maurer, M. R. Mazloff, S. C. Riser, J. L. Russell, O. M. Schofield, and L. D. Talley, 2023. The Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project: A review. Prog. Oceanogr. , 219doi.org/10.1016/j.pocean.2023.103130 Link to Published Version
Seroussi, H., V. Verjans, S. Nowiciki, A. J. Payne, H. Goelzer, W. H. Lipscomb, A. Abe, C. Agosta, T. Albrecht, X. Asay-Davis, A. Barthel, R. Calov, R. Cullather, and et. al, 2023. Insights on the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty. oThe Cryosphere doi.org/10.5194/tc-2023-109 Link to Published Version
Seroussi, H., V. Verjans, S. Nowiciki, A. J. Payne, H. Goelzer, W. H. Lipscomb, A. Abe, C. Agosta, T. Albrecht, X. Asay-Davis, A. Barthel, R. Calov, R. Cullather, and et. al, 2023. Insights on the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty. The Cryosphere doi.org/10.5194/tc-2023-109 Link to Published Version
Shields, C. A., A. E. Payne, E. J. Shearer, M. F. Wehner, T. A. O'Brien, J. J. Rutz, L. R. Leung, F. M. Ralph, A. B. M. Collow, et. al, 2023. Future Atmospheric Rivers and Impacts on Precipitation: Overview of the ARTMIP Tier2 High-Resolution Global Warming Experiment. Geophysical Research Letters , 50 (6)doi.org/10.1029/2022GL102091 Link to Published Version
Thomas, N., Collow, A., Bosilovich, M., and Dezfuli, A., 2023. Effect of Baseline Period on Quantification of Climate Extremes Over the United States. GRL , 50 (17)doi.org/10.1029/2023GL105204 Link to Published Version
Trunz, C., K. Poinar, L. Andrews, M.Covington, J. Mejia, J. Gulley, and V. Siegel, 2023. Observed and modeled moulin heads in the Pâkitsoq region of Greenland suggest subglacial channel network effects. Cryosphere , 17 (12)doi.org/10.5194/tc-17-5075-2023 Link to Published Version
Wales, P. A., C. A. Keller, K. E. Knowland, S. Pawson, S. Choi, F. Hendrick, M. Van Roozendael, R. J. Salawitch, R. Sulieman, and W. F. Swanson, 2023. Satellite-Based Emission Estimates of Arctic Bromine and Application within GEOS-Chem. Journal of Advances in Modeling Earth Systems , 15 (8)doi.org/10.1029/2022MS003465 Link to Published Version
Wargan, K., B. Weir, G. L. Manney, S. E. Cohn, K. E. Knowland, P. Wales, and N. J.Livesey, 2023. M2-SCREAM: A Stratospheric Composition Reanalysis of Aura MLS data with MERRA-2 transport. J. Adv. Model. Earth Sys , 10, e2022EA002632. doi:10.1029/2022EA002632 Link to Published Version
Yadav, P., C. Grafinkel, and D. I. V. Domeisen, 2023. The Role of the Stratosphere in Teleconnections Arising From Fast and Slow MJO Episodes. GRL , 51 (1)doi.org/10.1029/2023GL104826 Link to Published Version
Yin, J., Zhan, X., Barlage, M., Kumar, S., Fox, A., Albergel, C., Hain, C., Ferraro, R.,and Liu, J,., 2023. Assimilation of Blended Satellite Soil Moisture Data Products to Further Improve Noah-MP Model Skills. Journal of Hydrology , 62110.1016/j.jhydrol.2023.129596 Link to Published Version
TECHNICAL MEMORANDA
Endsley, K.Arthur, John S. Kimball, Tobias Kundig, Rolf H. Reichle, Joseph V. Ardizzone, 2023. Validation Assessment for the Soil Moisture Active Passive (SMAP) Level 4 Carbon (L4_C) Data Product Version 7. NASA/TM-2023-104606, Vol. 65, 56 pp. Document (7224 kB).
Reichle, Rolf H., Qing Liu, Joseph V. Ardizzone, Michel Bechtold, Wade T. Crow, Gabrielle J. M. De Lannoy, John S. Kimball and Randal D. Koster, 2023. Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 7 of the L4_SM Data Product. NASA/TM-2023-104606, Vol. 64, 91 pp. Document (17397 kB).
Kemppinen, Osku, Peter R. Colarco and Patricia Castellanos, 2022. GEOS aerosol optical table calculation package GEOSmie. NASA/TM-2023-104606, Vol. 63, 81 pp. Document (3209 kB).
Chang, Yehui, Siegfried Schubert, Randal Koster, Andrea Molod, and Yong-Kwon Lim, 2022. Climate Characteristics of the Atmospheric Analysis Increments from the GEOS S2S V3 AOGCM Replayed to MERRA-2. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 62, 147 pp. Document (46192 kB).
Kimball, John, K. Arthur Endsley, Tobias Kundig, Joseph Glassy, Rolf H. Reichle and Joseph V. Ardizzone, 2022. Validation Assessment for the Soil Moisture Active Passive (SMAP) Level 4 Carbon (L4_C) Data Product Version 6. ASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2022-104606, Vol. 61, 45 pp. Document (6285 kB).
Reichle, Rolf, Qing Liu, Randal D. Koster, Joseph V. Ardizzone, Andreas Colliander, Wade T. Crow, Gabrielle J. M. De Lannoy and John 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-2021-104606, Vol. 60, 72 pp. Document (8595 kB).
Reichle, Rolf, and Qing 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, 32 pp. Document (404 kB).
Reichle, Rolf, Qing Liu, Randal D. Koster, Joseph V. Ardizzone, Andreas Colliander, Wade T. Crow, Gabrielle J. M. De Lannoy and John 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, 60 pp. Document (3713 kB).
Chang, Yehui, Siegfried Schubert, Randal Koster and Andrea Molod, 2021. Tendency Bias Correction in the GEOS AGCM. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 57, 78 pp. Document (5255 kB).
Kimball, John, K. Arthur Endsley, Tobias Kundig, Joseph Glassy, Rolf H. Reichle and Joseph 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, 31 pp. Document (2610 kB).
Schubert, Siegfreid, Young-Kwon Lim, Andrea Molod, and Allison Marquardt Collow, 2021. A Phenomenon-Based Decomposition of Model-Based Estimates of Boreal Winter ENSO Variability. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 55, 88 pp. Document (7722 kB).
Carvalho, David, and Will McCarty, 2020. Position Estimation of Atmospheric Motion Vectors for Observation System Simulation Experiments. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2019-104606, Vol. 54, 44 pp. Document (2175 kB).
Schubert, Siegfried, Anna Borovikov, Young-Kwon Lim, and Andrea Molod, 2019. Ensemble Generation Strategies Employed in the GMAO GEOS-S2S Forecast System. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2019-104606, Vol. 53, 75 pp. Document (5002 kB).
Reichle, Rolf H., Qing Liu, Randal D. Koster, Joseph V. Ardizzone, Andreas Colliander, Wade T. Crow, Gabrielle J. M. De Lannoy, and John 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, 72 pp. Document (11805 kB).
Akella, Santha, and Max Suarez, 2018. The Atmosphere-Ocean Interface Layer of NASA’s Goddard Earth Observing System Model and Data Assimilation System. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2018-104606, Vol. 51, 42 pp. Document (4892 kB).
Todling, Ricardo, and Amal El Akkraoui, 2018. The GMAO Hybrid Ensemble-Variational Atmospheric Data Assimilation System: Version 2.0. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2018-104606, Vol. 50, 184 pp. Document (5543 kB).
Kim, Jong, Santha Akella, Arlindo M. da Silva, Ricardo Todling, and William McCarty, 2018. Preliminary evaluation of influence of aerosols on the simulation of brightness temperature in the NASA’s Goddard Earth Observing System Atmospheric Data Assimilation System. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2018-104606, Vol. 49, 44 pp. Document (5922 kB).
Errico, Ronald M., Nikki C. Privé, David Carvalho, Meta Sienkiewicz, Amal El Akkraoui, Jing Guo, Ricardo Todling, Will McCarty, William M. Putman, Arlindo da Silva, Ronald Gelaro, Isaac Moradi, 2017. Description of the GMAO OSSE for Weather Analysis Software Package: Version 3. NASA/TM-2017-104606, Vol. 48, 156 pp. Document (2473 kB).
Collow, Allison B. Marquardt, Sarith P. Mahanama, Michael G. Bosilovich, Randal D. Koster, and Siegfried D. Schubert, 2017. An Evaluation of Teleconnections Over the United States in an Ensemble of AMIP Simulations with the MERRA-2 Configuration of the GEOS Atmospheric Model. NASA/TM-2017-104606, Vol. 47, 68 pp. Document (5623 kB).
McCarty, Will, Lawrence Coy, Ronald Gelaro, Albert Huang, Dagmar Merkova, Edmond B. Smith, Meta Seinkiewicz, and Krzysztof Wargan, 2016. MERRA-2 Input Observations: Summary and Assessment. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2016-104606, Vol. 46, 61 pp. Document (3553 kB).
Randles, C. A., A. M. da Silva, V. Buchard, A. Darmenov, P. R. Colarco, V. Aquila, H. Bian, E. P. Nowottnick, X. Pan, A. Smirnov, H. Yu, and R. Govindaraju, 2016. The MERRA-2 Aerosol Assimilation. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2016-104606, Vol. 45, 143 pp. Document (91522 kB).
Akella, Santha, Ricardo Todling and Max Suarez, 2016. Estimation of the Ocean Skin Temperature using the NASA GEOS Atmospheric Data Assimilation System. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2016-104606, Vol. 44, 88 pp. Document (12742 kB).
Bosilovich, Michael G., Santha Akella, Lawrence Coy, Richard Cullather, Clara Draper, Ronald Gelaro, Robin Kovach, Qing Liu, Andrea Molod, Peter Norris, Krzysztof Wargan, Winston Chao, Rolf Reichle, Lawrence Takacs, Yury Vikhliaev, Steve Bloom, Allison Collow, Stacey Firth, Gordon Labow, Gary Partyka, Steven Pawson, Oreste Reale, Siegfried D. Schubert, and Max Suarez, 2015. MERRA-2: Initial Evaluation of the Climate. NASA/TM–2015–104606, Vol. 43, 139 pp. Document (20707 kB).
Kimball, John S., Lucas A. Jones,Joseph Glassy, E. Natasha Stavros, Nima Madani, Rolf H. Reichle, Thomas Jackson, and Andreas Colliander, 2015. Soil Moisture Active Passive (SMAP) Project Calibration and Validation for the L4_C Beta-Release Data Product. NASA/TM–2015-104606, Vol. 42, 37 pp. Document (13765 kB).
Schubert, Siegfried, Will Pozzi, Kingtse Mo, Eric F. Wood, Kerstin Stahl, Mike Hayes, Juergen Vogt, Sonia Seneviratne, Ron Stewart, Roger Pulwarty, and Robert Stefanski, 2015. GDIS Workshop Report. NASA/TM–2015-104606, Vol. 41, 40 pp. Document (623 kB).
Reichle, Rolf H., Gabrielle J. M. De Lannoy, Qing Liu, Andreas Colliander, Austin Conaty, Thomas Jackson, John Kimball, and Randal D. Koster, 2015. Soil Moisture Active Passive (SMAP) Project Assessment Report for the Beta-Release L4_SM Data Product. NASA/TM-2015-104606, Vol. 40. Document (5812 kB).
Mahanama, Sarith P., Randal D. Koster, Gregory K. Walker, Lawrence L. Takacs, Rolf H. Reichle, Gabrielle De Lannoy, Qing Liu, Bin Zhao, and Max 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/TM–2015-104606, Vol. 39, 55 pp. Document (4608 kB).
Darmenov, Anton, and Arlindo da Silva, 2015. The Quick Fire Emissions Dataset (QFED): Documentation of versions 2.1, 2.2 and 2.4. NASA/TM–2015–104606, Vol. 38. Document (68725 kB).
Takacs, Lawrence L., Max Suarez, and Ricardo Todling, 2015. Maintaining Atmospheric Mass and Water Balance Within Reanalysis. NASA/TM–2014-104606, Vol. 37. Document (3732 kB).
Gelaro, Ronald, William M. Putman, Steven Pawson, Clara Draper, Andrea Molod, Peter M. Norris, Lesley Ott, Nikki Privé, Oreste Reale, Deepthi Achuthavarier, Michael Bosilovich, Virginie Buchard, Winston Chao, Lawrence Coy, Richard Cullather, Arlindo da Silva, Anton Darmenov, Ronald M. Errico, Marangelly Fuentes, Min-Jeong Kim, Randal Koster, Will McCarty, Jyothi Nattala, Gary Partyka, Siegfried Schubert, Guillaume Vernieres, Yuri Vikhliaev, and Krzysztof Wargan, 2015. Evaluation of the 7-km GEOS-5 Nature Run. NASA/TM–2014-104606, Vol. 36. Document (88612 kB).
Reichle, R. H., and Q. Liu, 2014. Observation-Corrected Precipitation Estimates in GEOS-5. NASA/TM–2014-104606, Vol. 35. Document (495 kB).
Keppenne, C. L., M. M. Rienecker, R. M. Kovach, and G. Vernieres, 2014. Background error covariance estimation using information from a single model trajectory with application to ocean data assimilation into the GEOS-5 coupled model. NASA/TM-2014-104606, Vol. 34. Document (1941 kB).
Rousseaux, C. S., and W. W. Gregg, 2014. The effects of chlorophyll assimilation on carbon fluxes in a global biogeochemical model. NASA/TM-2014-104696, Vol. 33. Document (942 kB).
Provencal, S., P. Kishcha, E. Elhacham, A. M. da Silva, and P. Alpert, 2014. Estimates of AOD Trends (2002 – 2012) over the World’s Major Cities based on the MERRA Aerosol Reanalysis. NASA/TM-2014-104606, Vol. 32, 40 pp. Document (3247 kB).
Gregg, W. W., N. W. Casey, and C. S. Rousseaux, 2013. Global surface ocean carbon estimates in a model forced by MERRA. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM-2013-104606, Vol. 31, 39 pp. Document (1170 kB).
Vernieres, G., M. Rienecker, R. Kovach, and C. Keppenne, 2012. The GEOS-iODAS: Description and Evaluation. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM—2012-104606, Vol. 30, 61 pp. Document (13707 kB).
Rienecker, M.M., D. Dee, J. Woollen, G. P. Compo, K. Onogi, R. Gelaro, M. G. Bosilovich, A. da Silva, S. Pawson, S. Schubert, M. Suarez, D. Barker, H. Kamahori, R. Kistler, and S. Saha, 2012. Atmospheric Reanalyses—Recent Progress and Prospects for the Future. A Report from a Technical Workshop, April 2010. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM—2012-104606, Vol. 29, 56 pp. Document (9410 kB).
Molod, A., L. Takacs, M. Suarez, J. Bacmeister, I.-S. Song, and A. Eichmann, 2012. The GEOS-5 Atmospheric General Circulation Model: Mean Climate and Development from MERRA to Fortuna. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM—2012-104606, Vol. 28, 117 pp. Document (11776 kB).
Rienecker, M.M., M. J. Suarez, R. Todling, J. Bacmeister, L. Takacs, H.-C. Liu, W. Gu, M. Sienkiewicz, R. D. Koster, R. Gelaro, I. Stajner, and J. E. Nielsen, 2008. The GEOS-5 Data Assimilation System - Documentation of Versions 5.0.1, 5.1.0, and 5.2.0. Technical Report Series on Global Modeling and Data Assimilation, Vol. 27, 1-118 pp. Document (11978 kB).
Bloom, S., A. da Silva, D. Dee, M. Bosilovich, J.-D. Chern, S. Pawson, S. Schubert, M. Sienkiewicz, I. Stajner, W.-W. Tan, M.-L. Wu, 2005. Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 26, 1-187 pp. Document (18124 kB).
Waliser, D., S. Schubert, A. Kumar, K. Weickmann, and R. Dole, 2003. Modeling, Simulation, and Forecasting of Subseasonal Variability. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2016-104606, Vol. 25, 70 pp. Document (12998 kB).
Rienecker, M., A. Troccoli, C. Keppenne, G. Johnson, 2003. Temperature Data Assimilation with Salinity Corrections: Validation for the NSIPP Ocean Data Assimilation System in the Tropical Pacific Ocean, 1993-1998. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 24, 1-39 pp. Document (3077 kB).
Schubert, S., R. Dole, H. van den Dool, M. Suarez, D. Waliser, 2002. Prospects for Improved Forecasts of Weather and Short-Term Climate Variability on Subseasonal (2-Week to 2-Month) Time Scales. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 23, 1-163 pp. Document (11999 kB).
Gregg, W.W., 2002. A Coupled Ocean-Atmosphere Radiative Model for Global Ocean Biogeochemical Models. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 22, 1-31 pp. Document (2513 kB).
Keppene, C. L., and M. Rienecker, 2001. Design and Implementation of a Parallel Multivariate Ensemble Kalman Filter for the Poseidon Ocean General Circulation Model. NASA Technical Memorandum 104606, Vol. 21. Document (2725 kB).
Chang, Y., S. D. Schubert, S. J. Lin, S. Nebuda, B.-W. Shen, 2001. The Climate of the FVCCM-3 Model. Technical Report Series on Global and Data Assimilation, Vol. 20. Document (8273 kB).
Chou, M.-D., M. Suarez, X.-Z. Liang, M. M.-H. Yan, 2001. A Thermal Infrared Radiation Parameterization for Atmospheric Studies. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 19. Document (1954 kB).
Pegion, P. J., S. D. Schubert, M. Suarez, 2000. An Assessment of the Predictability of Northern Winter Seasonal Means with the NSIPP 1 AGCM. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 18. Document (8353 kB).
Bacmeister, J., S. D. Schubert, M. Suarez, P. J. Pegion, 2000. Atlas of Seasonal Means Simulated by the NSIPP 1 Atmospheric GCM. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 17. Document (8943 kB).
Takacs, L., W. Sawyer, M. J. Suarez, and M. S. Fox-Rabinowitz, 1999. Filtering Techniques on a Stretched Grid General Circulation Model. NASA Technical Memorandum 104606, Vol. 16. Document (3192 kB).
Chou, M.-D., and M. Suarez, 1999. A Solar Radiation Parameterization for Atmospheric Studies. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 15. Document (1880 kB).
Bosilovich, M. G., and S. D. Schubert, 1998. A Comparison of GEOS Assimilated Data with FIFE Observations. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 14. Document (2969 kB).
Min, W., and S. Schubert, 1997. Interannual Variability and Potential Predictability in Reanalysis Products. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 13. Document (16062 kB).
Chang, A., and L. Chiu, 1997. Comparison of Satellite Global Rainfall Algorithms. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 12. Document (305 kB).
Yang, W., I. M. Navon, R. Todling, 1997. Documentation of the Tangent and Adjoint Models of the Relaxed Arakawa-Schubert Moisture Parameterization Package of the NASA GEOS-1 GCM. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 11. Document (331 kB).
Takacs, L., and M. Suarez, 1996. Dynamical Aspects of Climate Simulations Using the GEOS General Circulation Model. NASA Technical Memorandum 104606, Vol. 10. Document (3578 kB).
Koster, R. D., and M. J. Suarez, 1996. Energy and Water Balance Calculations in the Mosaic LSM. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 9. Document (2528 kB).
Yang, W., and I. M. Navon, 1995. Documentation of the Tangent Linear Model and Its Adjoint of the Adiabatic Version of the NASA GEOS-1 C-Grid GCM (Version 5.2). Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 8. Document (363 kB).
Schubert, S. D., and R. Rood, 1995. Proceedings of the Workshop on the GEOS-1 Five-Year Assimilation. NASA Technical Memorandum 104606, Vol. 7. Document (24028 kB).
Schubert, S. D., C. K. Park, C. Y. Wu, W. Higgins, Y. Kondratyeva, A. Molod, L. L. Takacs, M. Seablom, R. B. Rood, 1995. A Multiyear Assimilation with the GEOS-1 System: Overview and Results. NASA Technical Memorandum 104606, Vol. 6. Document (14369 kB).
Suarez, M., and L. L. Takacs, 1995. Documentation of the Aries-GEOS Dynamical Core: Version 2. NASA Technical Memorandum 104606, Vol. 5. Document (1667 kB).
Pfaendtner, J., S. Bloom, D. Lamich, M. Seablom, M. Sienkiewicz, J. Stobie, A. da Silva, 1995. Documentation of the Goddard Earth Observing System (GEOS) Data Assimilation System: Version 1. NASA Technical Memorandum 104606, Vol. 4. Document (2674 kB).
Chou, M.-D., M. J. Suarez, X.-Z. Liang, M. Yan, 1994. An Efficient Thermal Infrared Radiation Parameterization for Use in General Circulation Models. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 3. Document (2587 kB).
Li, Y., S. Moorthi, J. R. Bates, 1994. Direct Solution of the Implicit Formulation of Fourth Order Horizontal Diffusion for Gridpoint Models on the Sphere. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 2. Document (1876 kB).
Takacs, L., A. Molod, T. Wang, 1994. Documentation of the Goddard Earth Observing System (GEOS) General Circulation Model: Version 1. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 1. Document (4320 kB).
GMAO OFFICE NOTES
GMAO Office Note No. 22 (Version 1.1): Collow, A., V. Buchard, M. Chin, P. Colarco, A. Darmenov, and A. da Silva, 2023. Supplemental Documentation for GEOS Aerosol Products Document [PDF]. See also Version 1.0 (2023).
GMAO Office Note No. 21 (Version 1.0): Wargan, K., B. Weir, 2022. File Specification for MERRA-2 Stratospheric Composition Reanalysis of Aura MLS (M2-SCREAM) Document [PDF].
GMAO Office Note No. 20 (Version 1.1): Keller, C., H. Amos, V. Buchard, A. Darmenov, S. Shen, M. Deloria Knoll, F. Villavicencio, M. Bosilovich, 2021. File Specification for MERRA-2 Country-Level Surface PM2.5 Monthly Mean Product Document [PDF]. See also Version 1.0 (2021). See also Version 1.0 (2021). See also Version 1.0 (2021). See also Version 1.0 (2021).
GMAO Office Note No. 19 (Version 1.3): Collow, Allison, M. Bosilovich, A. Dezfuli, and R. Lucchesi, 2023. File Specification for MERRA-2 Climate Statistics Products Document [PDF]. See also Version 1.2 (2021). See also Version 1.2 (2021). See also Version 1.1 (2021). See also Version 1.0 (2020).
GMAO Office Note No. 18 (Version 1.0): Collow, Allison, R. Lucchesi, and A. Da Silva, 2020. File Specification for GEOS Products Sampled Along Aircraft Trajectories Document [PDF].
GMAO Office Note No. 17 (Version 1.3): Knowland, K. Emma, C.A. Keller, and R. Lucchesi, 2020. File Specification for GEOS-CF Products Document [PDF]. See also Version 1.2 (2022). See also Version 1.1 (2020). See also Version 1.0 (2019).
GMAO Office Note No. 16 (Version 1.0): Nakada, K., R. Kovach, J. Marshak, and A. Molod, 2018. S2S-2_1: File Specification Document [PDF].
GMAO Office Note No. 15 (Version 1.0): Collow, A., M. Bosilovich, and R. Lucchesi, 2018. File Specification for M2AMIP Products Document [PDF].
GMAO Office Note No. 14 (Version 1.0): Putman, W., and M. J. Suarez, 2017. Overview of the GEOS Atmospheric Model and the Challenges of Using it at Exascale Document [PDF].
GMAO Office Note No. 13 (Version 1.0): 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) Document [PDF].
GMAO Office Note No. 12 (Version 1.0): Reichle, R., 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. Brent Smith, 2016. Soil Moisture Active Passive Mission L4_SM Data Product Assessment (Version 2 Validated Release) Document [PDF].
GMAO Office Note No. 11 (Version 2.1): 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 | GMAO Office Note No. 11 (Version 2.2) Document [PDF]. See also Version 2.1 (2021). See also Version 2.0 (2016). See also Version 1.9 (2015).
GMAO Office Note No. 10 (Version 1.6): Reichle, R.H., R. A. Lucchesi, J. V. Ardizzone, G.-K. Kim, 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 Document [PDF]. See also Version 1.5 (2018). See also Version 1.4 (2015).
GMAO Office Note No. 9 (Version 1.1): Bosilovich, M. G., R. Lucchesi, and M. Suarez, 2015. MERRA-2: File Specification Document [PDF].
GMAO Office Note No. 8 (Version 1.0): Kouatchou, J., A. Molod, J. E. Nielsen, B. Auer, W. Putman and T. Clune, 2015. GEOS-5 Chemistry Transport Model User's Guide Document [PDF].
GMAO Office Note No. 7 (Version 1.0): da Silva, A. M., C. A. Randles, V. Buchard, A. Darmenov, P. R. Colarco, and R. Govindaraju, 2015. File Specification for the MERRA Aerosol Reanalysis (MERRAero) Document [PDF].
GMAO Office Note No. 6: da Silva, A.M., W. Putman, and J. Natalla, 2015. File Specification for the 7-km GEOS-5 Nature Run, Ganymed Release (Non-hydrostatic 7-km Global Mesoscale Simulation) Document [PDF].
GMAO Office Note No. 5 (Version 1.0): Putman, W., A. M. da Silva, L. E. Ott, and A. Darmenov, 2014. Model Configuration for the 7-km GEOS-5 Nature Run, Ganymed Release (Non-hydrostatic 7-km Global Mesoscale Simulation) Document [PDF].
GMAO Office Note No. 4 (Version 1.2): Lucchesi, R., 2018. File Specification for GEOS-5 FP (Forward Processing) Document [PDF]. See also Version 1.1 (2017). See also Version 1.0 (2013).
GMAO Office Note No. 3: Reichle, R. H., 2012. The MERRA-Land Data Product (Version 1.2) Document [PDF].
GMAO Office Note No. 2 (Version 1.4): Lucchesi, R., 2015. File Specification for GEOS-5 FP-IT (Forward Processing for Instrument Teams) Document [PDF]. See also Version 1.2 (2013).
GMAO Office Note No. 1: Lucchesi, R., 2012. File Specification for MERRA Products (Version 2.3) Document [PDF].
DAO OFFICE NOTES
DAO Office Note 2002-01: Yang, R., et al., 2002. Tangent Linear Analysis of the Mosaic Land Surface Model Document [PDF].
DAO Office Note 2001-11: Poli, P., et al., 2001. One-dimensional Variational Analysis using GPS radio occultation refractivity Document [PDF].
DAO Office Note 1999-004: Sawyer, W., et al., 1999. Benchmark and Unit Test Results ofthe Message-Passing GEOS General Circulation Model Document [PDF].
DAO Office Note 1999-003: Molod, A., 1999. The land surface component in GEOS: Model formulation Document [PDF].
DAO Office Note 99-02: Zhu, Y., 1999. Technical Remarks on Smoother Algorithms Document [PDF].
DAO Office Note 1999-01: Todling, R., 1999. Estimation Theory and Foundations of Atmospheric Data Assimilation Document [PDF].
DAO Office Note 1998-009: Sawyer, W., et al., 1998. GEOS-2.x (multitasked) to GEOS-3.x (MPI) GCM Migration Plan Document [PDF].
DAO Office Note 1998-008: Sawyer, W., et al., 1998. PILGRIM: A Parallel Library for Grid Manipulations in Earth Science Calculations Document [PDF].
DAO Office Note 98-06: Gaspari, G., et al., 1998. Construction of the PSAS Multi-level Forecast Error Covariance Models * Document not available *.
DAO Office Note 1998-05: Larson, J., et al., 1998. Documentation of the Physical-Space Statistical Analysis System (PSAS) Part III: The Software Implementation Document [PDF].
DAO Office Note 1998-04: Guo, J., et al., 1998. Documentation of the Physical-Space Statistical Analysis System (PSAS) Part II: The Factored-Operator Formulation of Error Covariances Document [PDF].
DAO Office Note 98-03: Joiner, J. and Rokke, L., 1998. Variational Cloud Clearing with TOVS Data *Document not available*.
DAO Office Note 98-02: Staff, 1998. DAO Fortran 90 Software Standards *Document not available*.
DAO Office Note 97-16: Sawyer, W., et al., 1997. GEOS 3.x Data Assimilation System: Core GEOS 3.x Interface and Data Design *Document not available*.
DAO Office Note 97-13: Lyster, P. et al., 1997. Design of the Goddard Earth Observing System (GEOS) Parallel General Circulation Model (GCM) Document [PDF]
DAO Office Note 97-12: Dee, D., et al., 1997. Maximum-likelihood estimation of forecast and observation error covariance parameters Document [PDF].
DAO Office Note 97-11: Sawyer, W. and da Silva, A., 1997. ProTeX: A Sample Fortran 90 Source Code Documentation System Document [PDF].
DAO Office Note 97-10: Min, W., and Schubert, S., 1997. The Climate Signal in Regional Moisture Fluxes: A Comparison of Three Global Data Assimilation Products Document [PDF].
DAO Office Note 97-08: Cohn, S., et al., 1997. Assessing the Effects of Data Selection with the DAO Physical-space Statistical Analysis System Document [PDF].
DAO Office Note 97-05: Lyster P., et al., 1997. Design of the Goddard Earth Observing System (GEOS) Parallel Physical-space Statistical Analysis System (PSAS) Document [PDF].
DAO Office Note 97-04: Todling, R., et al., 1997. Suboptimal Schemes for Retrospective Data Assimilation Based onf the Fixed-Lag Kalman Smoother Document [PDF].
DAO Office Note 97-02: Lyster, P., et al., 1997. Prallel Implementation of a Kalman Filter for Constituent Data Assimilation Document [PDF].
DAO Office Note 97-01: Cohn, S., 1997. An Introduction to Estimation Theory Document [PDF].
DAO Office Note 96-25: Takacs, L., 1996. A Simple Bias Correction Algorithm for use in Data Assimilation Document [PDF].
DAO Office Note 96-24: Park, C-K., et al., 1996. Moonsoon Rainfall in the GEOS-1 Assimilation: Sensitivity to Input Data Document [PDF].
DAO Office Note 1996-20: Sienkiewicz, M., 2000. Evaluation of RTTOV and GLA TOVS forward model and Jacobian Document [PDF].
DAO Office Note 96-19: Trenholme, A., 1996. GEOS-3/DAS Quality Control Requirements - Document Version 1.0 *Document not available*.
DAO Office Note 96-18: Dee, D., et al., 1996. Data assimilation in the presence of forecast bias Document [PDF].
DAO Office Note 96-17: Min, W. and Schubert, S., 1996. A Summary of Precipitation Statistics over the United States *Document not available*.
DAO Office Note 96-16: Stobie, J., 1996. A Summary of Precipitation Statistics over the United States *Document not available*.
DAO Office Note 96-15: Dee, D., et al., 1996. GEOS/DAS Quality Control Strategy Document Version 1.1 Document [PDF].
DAO Office Note 96-14: da Silva, A., et al., 1996. Requirements for DAO's On-Line Monitoring System (DOLMS) Version 1.00 Document [PDF].
DAO Office Note 96-13: Joiner, J., et al., 1996. New Data Types Working Document Document [PDF]
DAO Office Note 96-12: daSilva, 1996. A Climatological Atlas of the Bermuda High from the GEOS-1 Multi-year Assimilation (Summers of 1985-93) *Document not available*.
DAO Office Note 96-11: da Silva, A., et al., 1996. On-line Estimation and Correction of Forecast Error Bias for Data Assimilation *Document not available*.
DAO Office Note 96-08: Sienkiewicz, M., 1996. The GLA TOVS Rapid Algorithm Forward Radiance Modules and Jacobian Version 1.0 Document [PDF].
DAO Office Note 96-07: Yong, L., et al., 1996. A Study on Assimilating Potential Vorticity Data Document [PDF].
DAO Office Note 96-06: da Silva, A., and Joiner, J., 1996. Efficient Methods to Assimilate Satellite Retrievals Based on Information Content *Document not available*.
DAO Office Note 96-05: da Silva, A., et al., 1996. Documentation of the Multi-year GEOS-1 Document [PDF].
DAO Office Note 96-04: Pfaendtner, J., 1996. Notes on the Icosahedral Domain Decomposition in PSAS *Document not available*.
DAO Office Note 96-03R1: Gaspari, G., et al., 1996. Construction of Correlation Functions in Two and Three Dimensions Document [PDF].
DAO Office Note 96-02: da Silva, A., et al., 1996. Documentation of the Physical-space Statistical Analysis System (PSAS) Part I: The Conjugate Gradient Solver Version PSAS-1.00 Document [PDF].
DAO Office Note 96-01: da Silva, A., 1996. Documentation of South American Time-series Files for the Multi-year GEOS-1 Assimilation Document [PDF].
DAO Office Note 95-01: da Silva, A., et al., 1995. Documentation of the GEOS/DAS Observation Data Stream (ODS) Version 1.01 Document [PDF].
This is a repository of presentations from scientific conferences and workshops which list GMAO staff members as lead or co-authors. They summarize research in poster form and were displayed to share results with the conference participants. Please note that this collection is not comprehensive.
2024 POSTERS
NASA TECHNICAL PUBLICATIONS
da Silva, Arlindo, Hal Maring, Felix Seidel, Michael Behrenfeld, Richard Ferrare, and Gerald Mace, 2020. Aerosol, Cloud, Ecosystems (ACE) Final Study Report. NASA/TP-20205007337. Document (6669 kb)
SELECTED TECHNICAL PUBLICATIONS
Montzka, Carsten, M. Cosh, B. Bayat, A. Al Bitar, A. Berg, R. Bindlish, H. R. Bogena, J. D. Bolten, F. Cabot, T. Caldwell, S. Chan, A. Colliander, W. Crow, N. Das, G. De Lannoy, W. Dorigo, S. R. Evett, A. Gruber, S. Hahn, T. Jagdhuber, S. Jones, Y. Kerr, S. Kim, C. Koyama, M. Kurum, E. Lopez-Baeza, F. Mattia, K. McColl, S. Mecklenburg, B. Mohanty, P. O'Neill, D. Or, T. Pellarin, G. P. Petropoulos, M. Piles, R. H. Reichle, N. Rodriguez-Fernandez, C. Rüdiger, T. Scanlon, R. C. Schwartz, D. Spengler, P. Srivastava, S. Suman, R. van der Schalie, W. Wagner, U. Wegmüller, J.-P. Wigneron, F. Camacho, and J. Nickeson, 2020. Soil Moisture Product Validation Good Practices Protocol. Land Product Validation Subgroup (WGCV/CEOS).
BOOKS
Wang, H., S. D. Schubert, and R. D. Koster 2017. North American Drought and Links to Northern Eurasia: The Role of Stationary Rossby Waves. In Patterns of Climate Extremes: Trends and Mechanisms. S. Wang, J. Yoon, C. Funk, R. Gillies, Eds. Wiley, 195-221. DOI: 10.1002/9781119068020.ch12.
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.
Bosilovich, M. G., J. Kennedy, D. Dee, R. Allan and A. O.Neill, 2013. On the Reprocessing and Reanalysis of Observations for Climate in Climate Science for Serving Society: Research, Model and Prediction Priorities. G. Asrar and J. Hurrell, Eds. Springer, 51-71. ISBN 978-94-007-6691-4.
Schubert, S. D., Y-K. Lim, 2013. Climate variability and weather extremes: model-simulated and historical data Chapter 9 in Extremes in a changing climate — detection, analysys & uncertainty. Eds. A. AghaKouchak, D. Easterling, K. Hsu, S. Schubert, S. Sorooshian, Springer. ISBN 978-94-007-4478-3
Cohn, S.E., 2010. The Principle of Energetic Consistency in Data Assimilation. Chapter 7 in Data Assimilation: Making Sense of Observations, Eds. W. Lahoz, B. Khattatov and R. Menard, Springer. DOI: 10.1007/978-3-540-74703-1
Rood, R.B., M. G. Bosilovich, 2010. Reanalysis: Data Assimilation for Scientific Investigation of Climate, in Data Assimilation: Making sense of observations, Eds. W. A. Lahoz, B. Khattotov and R. Menard, Springer. DOI: 10.1007/978-3-540-74703-1
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, Chapter 21 of Data Assimilation for Atmospheric, Oceanic, and Hydrologic Applications,ed. S.-K. Park, Springer. DOI: 10.1007/978-3-540-71056-1, Chapter 21
Cohn, S.E., 2008. Energetic Consistency and Coupling of the Mean and Covariance Dynamics. Chapter 16 in Handbook of Numerical Analysis, Vol. XIV, Ed. P.G. Ciarlet, Special Volume: Computational Methods for the Atmosphere and the Oceans, Guest Eds. R. Temam and J. Tribbia, Elsevier. ISBN: 978-0-444-51893-4
CONFERENCES AND WORKSHOP PROCEEDINGS
Reichle, R., G. De Lannoy, Q. Liu, and J. Ardizzone, 2016. SMAP Data Assimilation at the GMAO. Joint Center for Satellite Data Assimilation (JCSDA) Quarterly, 53. Link to Published Version
Zeng, X., S. Acherman, R.D. Ferraro, J.J. Murray, S. Pawson, C. Reynolds, and J. Teixiera, 2015. Workshop Report on Scientific Challenges and Opportunities in the NASA Weather Focus Area. NASA Weather Focus Area Workshop, April 2015. Link to Published Version
Bosilovich, M. G., M. Rixen, P. van Oevelen, G. Asrar, G. Compo, K. Onogi, A. Simmons, K. Trenberth, D. Behringer, T. Hossain Bhuiyan, S. Capps, A. Chaudhuri, J. Chen, L. Chen, N. Colasacco-Thumm, M. G. Escobar, C. R. Ferguson, T. Ishibashi, M. L. R. Liberato, J. Meng, A. Molod, and co-authors, 2012. Report of the 4th World Climate Research Programme International Conference on Reanalyses. 4th World Climate Research Programme International Conference on Reanalyses, Silver Spring, Maryland, 7-11 May 2012. Link to Published Version
Schubert, S.D., I.-S. Kang, F. Kucharski, and J. Shukla, 2009. Summary Report of the Workshop on High-Resolution Climate Modeling.. Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy, 10-14 August 2009. Document (161 kb)
Schubert, S., D. Dee, S. Uppala, J. Woollen, J. Bates, and S. Worley, 2006. Report of the Workshop on "The Development of Improved Observational Data Sets for Reanalysis: Lessons Learned and Future Directions". University of Maryland Conference Center, College Park, MD, 28-29 September 2005. Document (236 kb)
Schubert, S., 2005. Summary Report of the Workshop on: Observational and Modeling Requirements for Predicting Drought on Seasonal to Decadal Time Scales. University of Maryland Inn and Conference Center, Adelphi, MD, 17-19 May 2005. Document (229 kb)
