Welcome to the GMAO's Research Web Site
The Global Modeling and Assimilation Office (GMAO) is a component of the Earth Sciences Division in Goddard's Sciences and Exploration Directorate. Our research and development activities aim to maximize the impact of satellite observations in climate, weather and atmospheric composition prediction using comprehensive global models and data assimilation. To achieve this goal, the GMAO develops models and assimilation systems for the atmosphere, ocean, and land surface, generates products to support NASA instrument teams and the NASA Earth science program, and undertakes scientific research to inform system development pathways.
GEOS iODAS: Ocean Data Portal
The GMAO ocean data assimilation (GEOS iODAS) output is now available online. Output includes a one-degree analysis from 1960-2009, that is used to initialize the GMAO decadal forecasts, and a half-degree analysis, beginning in 1993, that assimilates altimeter data. The half-degree analysis is included in the ensemble of analyses used to initialize the GMAO seasonal forecasts from 1982 onwards.
Visit the Ocean Data Portal.
GEOS-5 simulates Chelyabinsk meteor stratospheric dust belt
GEOS-5 has simulated the circumpolar mid-stratosphere dust belt arising from the Chelyabinsk meteor's aerosol plume. The study was published in Geophysical Review Letters (GRL), which chose an image from the simulation for its front cover.
See the NASA press release.
GEOS-5 simulation featured in National Geographic
A GEOS-5 simulation of Hurricane Sandy was featured in a National Geographic article on rising seas. More information on this simulation is available on our Tracking Hurricanes with GEOS-5 research highlight.
GMAO Contributes to Sea Ice Outlook
Since the GEOS-5 seasonal forecasts are global with an initialized sea-ice distribution, the GMAO has begun to contribute to the Sea Ice Outlook for September Sea Ice extent organized by SEARCH and ARCUS. The consensus is for an increasing downward trend of September sea ice extent, well below the 1979-2007 September mean. Read more.
Upgrade to GEOS-5 Observation Impact Monitoring
The GEOS-5 Observation Impact Monitoring System has been upgraded to include the effects of moist physical processes. The upgrade provides more accurate estimates of observation impact in GEOS-5, especially for moist-sensitive observations from AIRS, MHS, TMI, and some wind observations. View Observation Impacts.
- Sensitivity of Tropical Cyclones to Parameterized Convection in the GEOS-5 Model 9.19.2014 This study demonstrates that realistic Tropical Cyclone activity can be simulated in GCMs with a resolution of about 25km and that modifications to the convective parametrization can lead to further improvements in the realism of the TCs. Read more.
- Interannual Variation in Phytoplankton Primary Production at a Global Scale 9.11.2014 The contributions of four phytoplankton groups to the total primary production are computed using the GMAO’s "NASA Ocean Biology Model." The work isolates the effects of climate variability on group-specific primary production using global and regional climate indices. Read more.
- High-resolution GEOS-5 simulations of stratospheric ozone intrusions 2.14.2014 A 25-km resolution version of GEOS-5 has been used with a comprehensive stratosphere-troposphere chemistry module to test the feasibility of detecting the impacts of stratospheric ozone intrusions on surface air quality. Read more.
- Verifying GEOS-5 sulfur dioxide simulations 9.19.2013 The Frostburg field campaign in November 2010 provided the opportunity to evaluate the simulation of SO2 and sulfate aerosols in GEOS-5. Read more.
- Sea Surface Temperatures, Heat, and Drought in the U.S. 8.12.2013The GMAO has conducted a series of experiments to determine what role, if any, SST anomalies played in forcing the extreme drought and heat waves experienced over the U.S. during the summers of 2011 and 2012. Read more.
- Quantifying Improvements to Streamflow Forecasts Stemming from Improved Soil Moisture Observations 7.2.2013The GMAO has conducted simulations to quantify the positive impacts that the soil moisture information provided by SMAP will have on streamflow forecasts. Read more.