Earth  ID: 14439

Air Pollution Model Runs

Soot. Exhaust. Ghosting smog. Air pollutants can travel in wind and wildfire smoke, brew by day, and change by the hour.

Predictions of air pollution are created using complex models that combine information about weather and the emissions, transformation, and transport of chemical species and particles. The Goddard Earth Observing System Composition Forecasting (GEOS-CF) system is a research model maintained by NASA’s Global Modeling and Assimilation Office to help scientists understand the causes and impact of air pollution. It is one of the highest resolution and most detailed models of its kind in the world, made possible through ongoing collaborations between NASA and university scientists. GEOS-CF tracks the concentrations of hundreds of gas phase chemical species and dozens of types of particles characterized by their composition and size.

It is used by a wide variety of stakeholders around the world to develop new methods for improving local predictions, understanding the impact of pollution on human health, and improving the quality of NASA satellite datasets.

Source Material


Katie Jepson (KBR Wyle Services, LLC): Lead Producer
Joseph V. Ardizzone (NASA/GSFC): Lead Visualizer
Aaron E. Lepsch (ADNET Systems, Inc.): Technical Support
Please give credit for this item to:
NASA's Goddard Space Flight Center

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DLESE >> Atmospheric science
DLESE >> Environmental science
SVS >> Pollution
GCMD >> Earth Science >> Atmosphere >> Air Quality
NASA Science >> Earth

GCMD keywords can be found on the Internet with the following citation: Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C.Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau, 2013. NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version