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首页> 外文期刊>Journal of Applied Meteorology >Analysis of upper-tropospheric water vapor brightness temperatures from SSM/T2, HIRS, and GMS-5 VISSR
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Analysis of upper-tropospheric water vapor brightness temperatures from SSM/T2, HIRS, and GMS-5 VISSR

机译:根据SSM / T2,HIRS和GMS-5 VISSR分析的对流层上层水汽亮度温度

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摘要

Satellite microwave and infrared instruments sensitive to upper-tropospheric water vapor (UTWV) are compared using both simulated and observed cloud-cleared brightness temperatures (Tb's). To filter out cloudy scenes, a cloud detection algorithm is developed for the Special Sensor Microwave/Temperature-2 (SSM/T2 or T2) data using the 92- and 150-GHz window channels. An analysis of the effect of clouds on the T2 183-GHz channels shows sensitivity primarily to high clouds containing ice, resulting in significantly better sampling of UTWV Tb's over the convective zones and regions of persistent cloudiness. This is in contrast to the infrared sensors, which are extremely sensitive to any cloud contamination in the satellite field of view. A comparison of simulated UTWV Tb's from T2, the High-resolution Infrared Sounder (HIRS), and the Visible Infrared Spin Scan Radiometer (VISSR) indicates a higher overall sensitivity to changes in UTWV in the T2 channel. HIRS and VISSR, however, are more sensitive to moisture at higher levels. Cloud-cleared Tb's from T2 and HIRS were found to be highly correlated in the tropical dry zones and in regions of strong seasonal variability but less correlated at higher latitudes. The advantages of the microwave T2 sensor for monitoring UTWV are demonstrated by its greater sensitivity to changes in upper-tropospheric moisture and superior coverage over cloudy regions.
机译:使用模拟的和观测到的云清除的亮度温度(Tb),比较了对高对流层水蒸气(UTWV)敏感的卫星微波和红外仪器。为了滤除阴天,使用92和150 GHz窗口通道为特殊传感器微波/温度2(SSM / T2或T2)数据开发了云检测算法。对云对T2 183-GHz信道影响的分析表明,其主要是对含冰的高云敏感,从而导致对流区和持续多云的区域的UTWV Tb采样明显更好。这与红外传感器相反,红外传感器对卫星视场中的任何云污染极为敏感。比较来自T2的模拟UTWV Tb,高分辨率红外测深仪(HIRS)和可见红外自旋扫描辐射计(VISSR),表明对T2通道中UTWV变化的总体灵敏度更高。但是,HIRS和VISSR在较高水平下对水分更敏感。发现来自T2和HIRS的清除云的Tb在热带干旱地区和强烈季节性变化的地区高度相关,而在高纬度地区相关性较低。微波T2传感器用于监测UTWV的优势表现在其对高对流层湿度变化的敏感性更高,并且在阴天地区的覆盖率更高。

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