Air Pollution Forecasts Using the NASA GEOS Model: A Unified Tool from Local to Global Scales

Knowland, K Emma

关键词: NASA PROGRAMS;    EARTH OBSERVING SYSTEM (EOS);    ATMOSPHERIC CHEMISTRY;    FORECASTING;    DIFFERENTIAL EQUATIONS;    SIMULATION;    AIR POLLUTION;   

RP-ID  :  GSFC-E-DAA-TN70807

学科分类：地球科学(综合)

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

We present a new high-resolution global composition forecast system produced by NASA's Global Modeling and Assimilation Office. The NASA Goddard Earth Observing System (GEOS) model has been expanded to provide global near-real-time 5-day forecasts of atmospheric composition at unprecedented horizontal resolution of 0.25 degrees (~25 km). This composition forecast system (GEOS-CF) system combines the operational GEOS weather forecasting model with the state-of-the-science GEOS-Chem chemistry module (version 12) to provide detailed analysis of a wide range of air pollutants such as ozone, carbon monoxide, nitrogen oxides, and fine particulate matter (PM2.5). Satellite observations are assimilated into the system for improved representation of weather and smoke.