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.
Carbon Monoxide GEOS-CF run.
GIF, .mp4 and .mov available.
Near Surface Ozone GEOS-CF run.
GIF, .mp4, and .mov available.
PM2.5 GEOS-CF run.
GIF, .mp4, and .mov available.
Nitrogen Oxides GEOS-CF run.
GIF, .mp4, and .mov available.
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Credits
Please give credit for this item to:
NASA's Goddard Space Flight Center
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Producer
- Katie Jepson (KBR Wyle Services, LLC)
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Visualizer
- Joseph V. Ardizzone (NASA/GSFC)
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Technical support
- Aaron E. Lepsch (ADNET Systems, Inc.)
Release date
This page was originally published on Tuesday, October 24, 2023.
This page was last updated on Friday, October 27, 2023 at 3:56 PM EDT.