Preliminary Evaluation of Influence of Aerosols on the Simulation of Brightness Temperature in the NASA's Goddard Earth Observing System Atmospheric Data Assimilation System

Kim, Jong ; Akella, Santha ; da Silva, Arlindo M ; Todling, Ricardo ; McCarty, William

关键词: AEROSOLS;    BRIGHTNESS TEMPERATURE;    INFRARED INSTRUMENTS;    ASSIMILATION;    EARTH OBSERVING SYSTEM (EOS);    RADIATION TRANSPORT;    DATA SYSTEMS;    STATISTICAL ANALYSIS;    INTERPOLATION;    SURFACE TEMPERATURE;    SIMULATION;   

RP-ID  :  NASA/TM-2018-104606/Vol. 49,GSFC-E-DAA-TN53760

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来源: NASA Technical Reports Server

【 摘 要 】

This document reports on preliminary results obtained when studying the impact of aerosols on the calculation of brightness temperature (BT) for satellite infrared (IR) instruments that are currently assimilated in a 3DVAR configuration of Goddard Earth Observing System (GEOS)-atmospheric data assimilation system (ADAS). A set of fifteen aerosol species simulated by the Goddard Chemistry Aerosol Radiation and Transport (GOCART) model is used to evaluate the influence of the aerosol fields on the Community Radiative Transfer Model (CRTM) calculations taking place in the observation operators of the Gridpoint Statistical Interpolation (GSI) analysis system of GEOSADAS. Results indicate that taking aerosols into account in the BT calculation improves the fit to observations over regions with significant amounts of dust. The cooling effect obtained with the aerosol-affected BT leads to a slight warming of the analyzed surface temperature (by about 0:5oK) in the tropical Atlantic ocean (off northwest Africa), whereas the effect on the air temperature aloft is negligible. In addition, this study identifies a few technical issues to be addressed in future work if aerosol-affected BT are to be implemented in reanalysis and operational settings. The computational cost of applying CRTM aerosol absorption and scattering options is too high to justify their use, given the size of the benefits obtained. Furthermore, the differentiation between clouds and aerosols in GSI cloud detection procedures needs satisfactory revision.