| 中国中东部区域TRMM降水产品降尺度研究及其时空特征分析 |
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| 引用本文： | 何其全,史岚,谭璐璐,万逸波,王茜雯.中国中东部区域TRMM降水产品降尺度研究及其时空特征分析[J].气象科学,2019,39(3):312-321. |
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| 作者姓名： | 何其全 史岚 谭璐璐 万逸波 王茜雯 |
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| 作者单位： | 南京信息工程大学 地理与遥感学院, 南京 210044,南京信息工程大学 地理与遥感学院, 南京 210044,南京信息工程大学 地理与遥感学院, 南京 210044,无锡太湖水务有限公司, 江苏 无锡 214031,南京信息工程大学 地理与遥感学院, 南京 210044 |
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| 基金项目： | 国家自然科学基金资助项目（41405107）；江苏省研究生科研与实践创新计划项目（KYCX18-1040）；江苏省高等学校自然科学研究面上项目（14KJD170004） |
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| 摘 要： | 该研究以中国中东部区域(17°～50°N,98°～135°E)为研究范围,在前人研究基础上,根据水汽与降水之间的关系,基于MOD05水汽产品,采用偏最小二乘法,对中国中东部区域2001—2010年10 a平均TRMM3B43_V 7月降水产品进行降尺度,旨在得到空间分辨率为1 km×1 km的月降水空间分布。通过比较分析,发现该降尺度模型能大幅提高TRMM产品空间分辨率,估算结果平均相对误差为15.35%,与地面观测较接近,能体现中国中东部区域降水宏观分布趋势,且估算结果精度高于前人基于归一化植被指数(NDVI)的降尺度模型,能满足降水产品的精细化需求。
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| 关 键 词： | TRMM降水产品 统计降尺度 MOD05 NDVI |
| 收稿时间： | 2017/11/9 0:00:00 |
| 修稿时间： | 2018/1/6 0:00:00 |
Spatial downscaling of TRMM precipitation product in mid-eastern region of China and analysis of its temporal and spatial features |
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| HE Qiquan,SHI Lan,TAN Lulu,WAN Yibo and WANG Qianwen.Spatial downscaling of TRMM precipitation product in mid-eastern region of China and analysis of its temporal and spatial features[J].Scientia Meteorologica Sinica,2019,39(3):312-321. |
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| Authors: | HE Qiquan SHI Lan TAN Lulu WAN Yibo and WANG Qianwen |
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| Institution: | School of Geography & Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China,School of Geography & Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China,School of Geography & Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China,Wuxi Water Works Co., Ltd., Jiangsu Wuxi 214031, China and School of Geography & Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China |
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| Abstract: | Based on previous studies, according to the relationship between water vapor and precipitation, the MOD05 water vapor product was used in mid-eastern region of China (17°-50°N,98°-135° E) to downscale the average TRMM3B43 monthly precipitation products from 2001 to 2010 by the partial least squares. The TRMM monthly precipitation product with spatial resolution of 1 km×1 km was obtained. The comparative analysis shows that the downscaling model can greatly improve the spatial resolution of TRMM products. The average relative error of the estimation results is 15.35%, which is close to the ground observations. It can reflect the macroscopic distribution trend of precipitation in mid-eastern region of China, and the accuracy of the estimation results is higher than that of NDVI. The method can meet the refined demand for precipitation products. |
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| Keywords: | TRMM precipitation products statistical downscaling MOD05 NDVI |
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