NASA's High-Resolution GEOS Forecasting and Reanalysis Products: A Unified Tool from Local to Global Scales

NASA's GMAO produces high-resolution global forecasts for weather, aerosols,
and air quality. The NASA Global Earth Observing System (GEOS) model has been expanded to provide global near-real-time 5-day forecasts of atmospheric
chemical composition at unprecedented horizontal resolution of 0.25 degrees
(~25 km), freely available to the public. This composition forecast system
(GEOS-CF) combines the operational GEOS weather forecasting model with the
state-of-the-science GEOS-Chem chemistry module to provide detailed analysis
of a wide range of air pollutants such as ozone, carbon monoxide, nitrogen
oxides, and fine particulate matter (PM2.5). GEOS-CF also assimilated
satellite observations into the system for improved representation of weather
and smoke. The assimilation system is currently being expanded to include
chemically reactive trace gases. While the main focus of this new product is
on tropospheric air quality information, the GEOS-Chem chemistry model used
in this system includes the unified tropospheric stratospheric chemistry
mechanism for improved forecasts of total column ozone during anomalous
dynamical and chemical events. I will discuss current capabilities of the
GEOS Constituent Data Assimilation System (CoDAS) to improve atmospheric
composition modeling and possible future directions for GEOS-CF and
reanalysis products. In addition, I will show how machine learning techniques
can be used to correct for sub-grid-scale variability, which further improves
model estimates at a given observation site.