GMAO Uses AutoChem for Validation

A chemical data assimilation system ( AutoChem ) is being used in the GMAO to assist in the validation of NASA EOS Aura observations. An advantage of assimilation is that it propagates information from data-rich regions to data-poor regions. Data assimilation offers a mathematical framework to check the consistency between different instruments observing the same constituent, and the photochemical self-consistency between multiconstituent observations and photochemical theory. + Read More

GMAO Supports the Aura Validation Experiment (AVE) in October and November 2004

NASA is conducting a number of validation experiments for its Aura satellite, which provides estimates of temperature, ozone, water and other trace gases in the stratosphere and upper troposphere. GMAO is providing special forecasts to the Aura Validation Experiment (AVE) mission, which is flying out of Houston, Texas, in October and November 2004. The forecasts are used to assist in the flight planning, to direct the aircraft to regions of scientific interest which will also be viewed by the Aura instruments. GMAO products are also used to transport chemical constituents in numerical models, the results of which are used to interpret the chemical distributions observed by Aura.

Modern-Era Retrospective analysis for Research and Applications (MERRA)

The purpose of the Modern-Era Retrospective analysis for Research and Applications (MERRA) project is to develop, validate, and disseminate a global retrospective record of climate using the method of meteorological data assimilation. + Read More

GSFC Top Story: MOIST SOIL 'HOT SPOTS' MAY AFFECT RAINFALL

GMAO researcher Randal Koster led a collaborative effort that used a dozen computer models to locate "hot spots" around the world where soil moisture may strongly affect rainfall during northern hemisphere summertime. + Read More