Overview

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. mosaic of GMAO plotsOur 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.

What's New

GEOS-5 aerosol simulation in Science World

An article in a recent edition of Science World, a Classroom Magazine for Secondary Schools, describes GMAO's GEOS-5 aerosol transport simulation. View article.

Arctic Boreal Zone Workshop report available

The report from the NASA workshop on Earth System Modeling and Field Experiments in the Arctic Boreal Zone is now available with other materials from the workshop held at Goddard, May 22-24, 2012. View Report.

GEOS-5 dust forecasts now part of WMO Warning System

The near real time GEOS-5 dust forecasts are now included in the WMO Dust and Sand Storm Warning Advisory and Assessment System (WMO SDS-WAS).
Read More.

GMAO Support for the National Climate Assessment (NCA)

The GMAO is supporting the National Climate Assessment (NCA) by providing enabling tools of assimilated data sets that synthesize and integrate the existing satellite (and conventional) data streams for the EOS/Aura period. As an initial contribution, regional and sector-specific products have been derived from MERRA and are available from our NCA web page. Our plan is to develop products from an ongoing climate analysis using GMAO's integrated assimilation systems that will enable an on-going, permanent assessment capacity and capability.

Read more about GMAO's NCA efforts.

Research Highlights