Adding four-dimensional data assimilation by analysis nudging to the Model for Prediction Across Scales - Atmosphere (version 4.0).

ABSTRACT: The Model for Prediction Across Scales - Atmosphere (MPAS-A) has been modified to allow four-dimensional data assimilation (FDDA) by the nudging of temperature, humidity, and wind toward target values predefined on the MPAS-A computational mesh. The addition of nudging allows MPAS-A to be used as a global-scale meteorological driver for retrospective air quality modeling. The technique of "analysis nudging" developed for the Penn State/National Center for Atmospheric Research (NCAR) Mesoscale Model, and later applied in the Weather Research and Forecasting model, is implemented in MPAS-A with adaptations for its polygonal Voronoi mesh. Reference fields generated from 1°×1° National Centers for Environmental Prediction (NCEP) FNL (Final) Operational Global Analysis data were used to constra

SUBMITTER: Bullock OR 

PROVIDER: S-EPMC6475925 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature