Impact of the OMI aerosol optical depth on analysis increments through coupled meteorology–aerosol data assimilation for an Asian dust storm

• Published in: Remote sensing of environment Vol. 193; pp. 38 - 53
• Main Authors: Lee, Ebony, Županski, Milija, Županski, Dusanka, Park, Seon Ki
• Format: Journal Article
• Language: English
• Published: New York Elsevier Inc 01.05.2017; Elsevier BV
• Subjects: Aerosol observations; Aerosol optical depth; Aerosols; Asian dust storm; Atmospheric chemistry; Atmospheric models; Control equipment; Covariance; Data assimilation; Data collection; Dust; Dust storms; Humidity; Hybrid systems; Initial conditions; Innovations; Mathematical models; Maximum Likelihood Ensemble Filter; Meteorological observations; Meteorology; Monitoring instruments; Optical analysis; Ozone; Ozone monitoring; Pollution monitoring; Remote sensing; Satellite observation; Storms; Strong coupling; Weather forecasting; WRF-Chem; Maximum Likelihood Ensemble Filter; Strong coupling; Aerosol optical depth; WRF-Chem; Asian dust storm; Data assimilation

In this study, we investigate the possibility of using a coupled meteorology–aerosol data assimilation (DA) to improve the forecast of a dust storm. We interfaced a coupled meteorology–chemistry model (WRF-Chem) with a hybrid variational-ensemble DA system — the Maximum Likelihood Ensemble Filter (M...