Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study

Oyola, Mayra I.; Campbell, James R.; Xian, Peng; Bucholtz, Anthony; Ferrare, Richard A.; Burton, Sharon P.; Kalashnikova, Olga; Ruston, Benjamin C.; Lolli, Simone

We conceptualize aerosol radiative transfer processes arising from the hypothetical coupling of a global aerosol transport model and a global numerical weather prediction model by applying the US Naval Research Laboratory Navy Aerosol Analysis and Prediction System (NAAPS) and the Navy Global Environmental Model (NAVGEM) meteorological and surface reflectance fields. A unique experimental design during the 2013 NASA Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEACinline-formula4RS) field mission allowed for collocated airborne sampling by the high spectral resolution Lidar (HSRL), the Airborne Multi-angle SpectroPolarimetric Imager (AirMSPI), up/down shortwave (SW) and infrared (IR) broadband radiometers, as well as NASA A-Train support from the Moderate Resolution Imaging Spectroradiometer (MODIS), to attempt direct aerosol forcing closure. The results demonstrate the sensitivity of modeled fields to aerosol radiative fluxes and heating rates, specifically in the SW, as induced in this event from transported smoke and regional urban aerosols. Limitations are identified with respect to aerosol attribution, vertical distribution, and the choice of optical and surface polarimetric properties, which are discussed within the context of their influence on numerical weather prediction output that is particularly important as the community propels forward towards inline aerosol modeling within global forecast systems.



Oyola, Mayra I. / Campbell, James R. / Xian, Peng / et al: Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study. 2019. Copernicus Publications.


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