12JCSDA Application of the Joint Effort for Data Assimilation Integration (JEDI) to the Online CMAQ Regional Model: Atmospheric Composition (TROPOMI NO2)

The National Oceanic and Atmospheric Administration (NOAA) developed a next-generation regional air quality model (AQM) prediction system based on an online-coupling approach within the framework of the Unified Forecast System (UFS) using the Finite Volume Cubed-Sphere Dynamic Core (FV3) and chemical mechanism of Environmental Protection Agency (EPA)’s Community Multiscale Air Quality (CMAQ). Joint Effort for Data assimilation Integration (JEDI) is the next generation, a unified and versatile Data Assimilation (DA) system for earth system prediction. We are developing the atmospheric composition DA under the JEDI system using TROPOMI NO2 retrievals to improve prediction of regional air quality. In this presentation, we will discuss the background error covariance we developed and tested using the 3D standard deviation from the lagged forecast experiment, and the sensitivity tests we have conducted with various horizontal / vertical length scales in the 3D-Var in JEDI. We will also discuss the quality control (QC) procedures for the TROPOMI NO2 retrievals. Preliminary results from the prototype cycled forecast system will be shown.