科技报告详细信息
Impact Study of the Assimilation of Surface Sensitive Microwave Radiances in the GEOS
Ebrahimi, Hamideh ; Mccarty, William R ; Akella, Santha ; Vemieres, Guillaume
关键词: ASSIMILATION;    ATMOSPHERIC TEMPERATURE;    BRIGHTNESS TEMPERATURE;    GEOS SATELLITES (ESA);    LOW FREQUENCIES;    MICROWAVE RADIOMETERS;    MOISTURE CONTENT;    ADVANCED MICROWAVE SOUNDING UNIT;    EARTH OBSERVING SYSTEM (EOS);    SEA SURFACE TEMPERATURE;    STATISTICAL ANALYSIS;    TEMPERATURE PROFILES;   
RP-ID  :  GSFC-E-DAA-TN63850
学科分类:地球科学(综合)
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】

The aim of this study is to investigate the feasibility of assimilating low frequency microwave observations from different satellite Microwave radiometers such as the Advanced Microwave Sounding Unit-A (AMSU-A). These observations are relevant to the description of air temperature, humidity, and surface parameters such as ocean surface temperature. Their assimilation into Goddard Earth Observing System (GEOS) modeling and assimilation system helps better constrain models in regions where very few observations are assimilated. In recent years, Channels 1–4 and 15 have not been assimilated in GEOS because of their large sensitivities to uncertain surface parameters such as emissivity and skin temperature. Here, the impact of using different channels will be discussed. Also we investigate the validity of the emissivity model in these channels over ocean and sea ice.Radiative transfer calculations necessary for the assimilation of satellite radiances are performed using the Community Radiative Transfer Model (CRTM). The CRTM performs forward radiative transfer calculations of brightness temperature from atmospheric profiles (temperature, moisture, and ozone) and surface characteristics. Additionally, the CRTM calculates the Jacobians of brightness temperature with respect to the input . The Jacobians are for the inversion of these radiances within the Gridpoint Statistical Interpolation (GSI) analysis system. Here, For direct assimilation of the radiance observations, the interface between GSI and CRTM, is slightly modified. Finally, we validate the assimilation results, and discuss the impact of each channels in detail.

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