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  • Presentation | NG33C: Advancing Data Assimilation for Earth System Prediction Poster
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  • NG33C-0448: Recent Developments and Applications of the Data Assimilation Research Testbed (DART) with Regional Chemical Data Assimilation and Emissions Estimation (Chem-DART)
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  • Board 0448‚ Hall EFG (Poster Hall)
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Author(s):
Arthur Mizzi, NASA Ames Research Center (First Author, Presenting Author)
Chia-Hua Hsu, University of Colorado Boulder
Aishwarya Raman, NASA Ames Research Center/Bay Area Environmental Research Institute
Yuyan Cui, California Environmental Protection Agency Air Resources Board
Brian McDonald, NOAA Chemical Sciences Laboratory
Matthew Johnson, Earth Science Division, NASA Ames Research Center
Jeffrey Anderson, NCAR


Presentation of recent developments, applications, and results from WRF-Chem/Chem-DART (a regional, ensemble Kalman filter, atmospheric composition forecast, assimilation, emissions estimation system based on the Data Assimilation Research Testbed (DART) with regional chemical data assimilation and satellite-based emissions estimation (Chem-DART) interfaced with the Weather Research and Forecasting (WRF) model using online atmospheric chemistry (WRF-Chem)) applied to air quality reanalysis, forecasting, and emissions estimation for the United States.



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