R. Bradley Pierce
Real-time Air Quality Modeling System (RAQMS)
Chemical and Aerosol Data Assimilation and Global Air Quality Forecasting
Room 811 AOSS, February 1, 2017, 2:30 PM
The Real-time Air Quality Modeling System (RAQMS) is an online global chemical and aerosol assimilation/forecasting system developed at the University of Wisconsin-Madison Space Science and Engineering Center (SSEC) in partnership with NASA Langley Research Center (LaRC) and NOAA/NESDIS Center for Satellite Applications and Research (STAR). RAQMS utilizes the UW-Madison sigma-theta hybrid coordinate model (UW-Hybrid) dynamical core, which is able to accurately resolve long-range transport processes in the upper troposphere and lower stratosphere. RAQMS includes a unified stratosphere/troposphere chemical prediction scheme (LaRC-Combo) developed at NASA LaRC and the GOCART aerosol prediction scheme. RAQMS can simulate ozone/aerosol chemistry ranging from the denitrification and halogen catalyzed springtime ozone loss within the Antarctic "ozone hole" to intercontinental pollution transport driven by anthropogenic and biomass burning emissions.
RAQMS assimilates aerosol optical depth (AOD) from MODIS Terra and Aqua, total column ozone from OMI and stratospheric ozone profiles from MLS on the Aura satellite using the Statistical Digital Filter assimilation system, which is an Optimal Interpolation approach. Assimilation of satellite retrievals of atmospheric composition provides self-consistent, unified (meteorological, chemical, and aerosol) global analyses that improves global air quality forecast skill and can be used to provide lateral boundary conditions for regional air quality predictions.
We present results from RAQMS ozone and aerosol data assimilation experiments assessing the impacts of intercontinental pollution transport, stratospheric intrusions, and wildfires on air quality over the continental US. The RAQMS assimilation and forecasting experiments help to guide the development of future operational ozone and aerosol forecasting systems within the NOAA Environmental Modeling System (NEMS) Global Forecasting System (GFS) Aerosol Component (NGAC) and the Next Generation Global Prediction System (NGGPS) under development at the National Centers for Environmental Prediction (NCEP).