Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling.

ABSTRACT: The U.S. EPA is leveraging recent advances in meteorological modeling to construct an air quality modeling system to allow consistency from global to local scales. The Model for Prediction Across Scales-Atmosphere (MPAS-A or MPAS) has been developed by the National Center for Atmospheric Research (NCAR) as a global complement to the Weather Research and Forecasting model (WRF). Patterned after a regional coupled system with WRF, the Community Multiscale Air Quality (CMAQ) modeling system has been coupled within MPAS to explore global-to-local chemical transport modeling. Several options were implemented into MPAS for retrospective applications. Nudging-based data assimilation was added to support continuous simulations of past weather to minimize error growth that exists with a weather for

SUBMITTER: Gilliam RC 

PROVIDER: S-EPMC8193762 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature