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从FY-4静止气象卫星估算晴空地表下行长波辐射通量的反演模式
引用本文:吴晓.从FY-4静止气象卫星估算晴空地表下行长波辐射通量的反演模式[J].气候与环境研究,2014,19(3):362-370.
作者姓名:吴晓
作者单位:中国气象局中国遥感卫星辐射测量和定标重点开放实验室, 北京100081;国家卫星气象中心, 北京100081
基金项目:国家卫星气象中心风云四号静止气象卫星地面应用系统工程-产品算法开发项目
摘    要:通过红外辐射传输模拟,计算了446183条全球晴空大气廓线的地表下行长波辐射通量以及FY-4成像仪通道亮温,应用统计回归分析模拟结果,建立了通道亮温与低层大气有效辐射温度的回归关系、大气柱总可降水量与低层大气比辐射率的回归关系,依据黑体辐射定律建立了由卫星观测估算地表下行长波辐射通量的反演模式。初步地,模式应用于FY-4成像仪代理资料Meteosat-8卫星的SEVIRI(Spring Enhanced Visible and Infared Imager)仪器观测数据,估算了2006年8月1日00:00(协调世界时,下同)、06:00、12:00、18:00地理范围在(45°S~45°N,45°W~45°E)的地表下行长波辐射通量,结果与用ECMWF 6 h预报场资料经验计算的通量相比,系统均方根误差(RMS)依次为12.1、13.0、20.7、12.5 W/m2,相关系数分别为0.9256、0.9291、0.9042、0.9325,相比于GOES-R同类产品(RMS=13.7 W/m2),这一直接把卫星通道亮温与低层大气温度相联系的反演模式,其精度性能达到了应用研究对其反演产品的质量要求。

关 键 词:地表下行长波辐射    辐射传输    统计回归
收稿时间:2013/2/18 0:00:00
修稿时间:7/8/2013 12:00:00 AM

Retrieval Model for Estimating Clear-Sky Downward Longwave Radiation at the Surface from the FY-4 Geostationary Satellite
WU Xiao.Retrieval Model for Estimating Clear-Sky Downward Longwave Radiation at the Surface from the FY-4 Geostationary Satellite[J].Climatic and Environmental Research,2014,19(3):362-370.
Authors:WU Xiao
Institution:Key Laboratory of Radiometeric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081;National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081
Abstract:Based on the infrared radiative transfer calculations for 446183 atmospheric profiles, the downward longwave radiation flux at surface and channel brightness temperatures for the FY-4 Imager were simulated. From a regression analysis of the simulated data, a retrieval model relating the flux with channel temperatures and atmospheric precipitable water was established. The model was then applied to Meteosat-8 SEVIRI (Spring Enhanced Visible and Infared Imager) data, adopted as a proxy of the FY-4 Imager, and the downward longwave flux was estimated over an area of (45°S-45°N, 45°W-45°E), at 0000 UTC, 0600 UTC, 1200 UTC, and 1800 UTC Aug 1 2006. The fluxes were then compared with those calculated using empirical equations on ECMWF data. The RMS errors were 12.1, 13.0, 20.7, 12.5 W/m2, respectively. Compared with the RMS 13.7 W/m2 value from GOES-R, the estimates from the model developed in this study would satisfy future climate research requirements.
Keywords:Downward longwave radiation  Radiative transfer  Statistical regression
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