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Improvement of the use of MSG and GOES data in the NCEP GDAS

机译:改进NCEP GDAS中MSG和GOES数据的使用

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摘要

Infrared (IR) observations from Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board Meteosat Second Generation (MSG)-2 satellite are assimilated into NCEP global data assimilation system (GDAS). The assimilation of current Geostationary Operational Environmental Satellite (GOES) Imager data was also reinvestigated. The Community Radiative Transfer Model (CRTM) was used as observation operator for the assimilation of SEVIRI radiance observations. The CRTM was enhanced with several critical components for IR radiance assimilation, such as a dynamically-updated land surface emissivity data, as well as fast and accurate gaseous absorption modules. The Global Space-Based Inter-Calibration System (GSICS) calibration corrections were applied to improve the simulation of SEVIRI and GOES Imager radiances. Preliminary results show that inclusions of the SEVIRI radiances at water vapor channels (6.25 and 7.35 micron) and CO_2 channel (13.4 micron) in Global Forecast System (GFS) produced significant positive impacts on the six-day forecasts. Assimilation of other five SEVIRI IR window channels in GFS reduces the positive impact. By applying GSICS calibration algorithm to correct SEVIRI and GOES-12 Imager observations biases, the impacts on GFS forecast were improved. Further studies are being carried out to improve the effective assimilation of SEVIRI IR window channels radiances.
机译:Meteosat第二代(MSG)-2卫星上的自旋增强型可见光和红外成像仪(SEVIRI)的红外(IR)观测值被同化为NCEP全球数据同化系统(GDAS)。还对现有的地球静止运行环境卫星(GOES)成像器数据进行了同化研究。社区辐射传输模型(CRTM)被用作SEVIRI辐射观测值同化的观测算子。 CRTM增强了用于红外辐射吸收的几个关键组件,例如动态更新的陆地表面发射率数据,以及快速,准确的气体吸收模块。全球天基相互校准系统(GSICS)校准校正用于改善SEVIRI和GOES成像仪辐射的仿真。初步结果表明,全球预报系统(GFS)中水蒸气通道(6.25和7.35微米)和CO_2通道(13.4微米)中SEVIRI辐射的夹杂物对六天预报产生了明显的积极影响。 GFS中对其他五个SEVIRI IR窗口通道的吸收减少了积极影响。通过应用GSICS校准算法纠正SEVIRI和GOES-12成像仪观测值的偏差,可以改善对GFS预报的影响。为了提高SEVIRI IR窗口通道辐射的有效吸收,正在进行进一步的研究。

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