| 用卫星OLR资料估算中国大陆月降水量 |
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| 引用本文： | 吴晓.用卫星OLR资料估算中国大陆月降水量[J].气象,2011,37(1):99-102. |
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| 作者姓名： | 吴晓 |
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| 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,国家卫星气象中心,100081 |
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| 摘 要： | 利用国家卫星气象中心处理的NOAA下午轨道卫星的OLR资料,用Xie等在1998年的文章中提出的月降水量计算模式,计算了1991-2008年地理范围在10°～60°N、75°～150°E、分辨率为0.5°×0.5°的中国大陆月降水量,得出:用OLR月距平资料可以计算出月降水量,模式估算出的降水量通过与NCEP提供的18年月降水量陆地观测数据对比,精度为:冬季相对误差49.14%、绝对误差7.97 mm;春季相对误差37.60%、绝对误差14.97 mm;夏季相对误差27.37%、绝对误差31.61mm;秋季相对误差37.99%、绝对误差16.95 mm,可见精度效果并不是太好,造成误差的主要原因是降水机制不一,层状云降水特别是逆温层状云和连续阴天不下雨,以及月平均OLR不能完整地反映月内降水云和降水量是造成用OLR月距平估算月降水量的主要误差来源.通过对FY-2C卫星云分类产品的图像分析,得出中国南方冬季主要是层状云降水,OLR月距平值较高,用全球的A、B系数估算出的降水量偏低于实况,因此对中国大陆进行分区、分季节统计A、B系数,是解决OLR月距平估算月降水量精度问题的途径.
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| 关 键 词： | OLR 月降水量 绝对误差 相对误差 |
| 收稿时间： | 2009/10/19 0:00:00 |
| 修稿时间： | 5/6/2010 12:00:00 AM |
Monthly Precipitation Estimation from Satellite OLR Data in China |
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| WU,Xiao.Monthly Precipitation Estimation from Satellite OLR Data in China[J].Meteorological Monthly,2011,37(1):99-102. |
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| Authors: | WU Xiao |
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| Institution: | WU Xiao Key Laboratory of Radiometeric Calibration and Validation for Environmental Satellites of China Meteorological Administration,National Satellite Meteorological Center,Beijing 100081 |
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| Abstract: | By using the model of Xie and the NOAA OLR data in NSMC, the monthly precipitation amount in 1991-2008 was calculated in the area of 10°-60°N, 75°-150°E land with data resolution of 0.5°×0.5° latitude longitude. Therefore we know that monthly precipitation amount could be calculated out by using monthly OLR anomaly.By comparing the model monthly precipitation with gauge precipitation from NCEP in 1991-2008,we obtained the following results:in winter the relative error in China was 49.14% and the absolute error was 7.97 mm; in spring they were 37.60% and 14.97 mm; in summer they were 27.37% and 31.6 mm; and in autumn they were 37.99% and 16.95 mm. The results were not very good.The main errors were caused by stratus cloud precipitation and continuous cloud cover days without precipitation.By analyzing cloud classification products of FY 2C during 2006-2008,we have learned that in winter stratus clouds are common in southern China, and the monthly OLR anomaly there is usually high, and the estimation of precipitation amount obtained from global coefficients A and B is lower than that of ground observation. Therefore, the better way to solve the problem of precipitation underestimation may be in the choice of new coefficients A and B for different areas of China in different seasons. |
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| Keywords: | OLR monthly precipitation amount relative error absolute error |
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