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Remote Sensing Technology and Application  2016, Vol. 31 Issue (3): 607-616    DOI: 10.11873/j.issn.1004-0323.2016.3.0607
    
Correction of CMORPH Daily Precipitation Data over the Qinghai-Tibetan Plateau with K-Nearest Neighbor Model
Wang Yudan1,2,Nan Zhuotong3,Chen Hao4,Wu Xiaobo1
(1.Cold and Arid Regions Environmental and Engineering Research Institute,
Chinese Academy of Sciences,Lanzhou 730000,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China;
3.School of Geography Science,Nanjing Normal University,Nanjing 210023,China;
4.Baoji University of Science and Art,Baoji 721013,China)
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Abstract  

Precipitation data of the Qinghai\|Tibetan Plateau(QTP)are generally fused from multiple source remote sensing products and observation data.While the meteorological observations on the QTP are scarcely and unevenly distributed,the commonly used precipitation datasets,such as CMORPH(Climate Prediction Center Morphing Technique)bear fairly large errors.In this paper the K\|Nearest Neighbor(KNN)model was applied for correcting CMORPH daily precipitation over the QTP by establishing the relationship between daily precipitation and environmental,such as elevation,slope,aspect,and vegetation,and meteorological factors such as air temperature,humidity,and wind speed.The results show that the KNN\|corrected CMORPH precipitation is more accurate than both the original CMORPH precipitation and the PDF\|corrected results which were processed with a probability density function matching method and are available for downloading on the official Web site of Chinese Meteorological Administration.Examination of typical regions shows the KNN\|corrected results well represent the characteristics of precipitation distribution over the QTP.

Key words:  KNN model;Precipitation data;CMORPH;The Qinghai\      Tibetan Plateau     
Received:  15 January 2016      Published:  19 July 2016
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Wang Yudan
Nan Zhuotong
Chen Hao
Wu Xiaobo

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Wang Yudan,Nan Zhuotong,Chen Hao,Wu Xiaobo. Correction of CMORPH Daily Precipitation Data over the Qinghai-Tibetan Plateau with K-Nearest Neighbor Model. Remote Sensing Technology and Application, 2016, 31(3): 607-616.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2016.3.0607     OR     http://www.rsta.ac.cn/EN/Y2016/V31/I3/607

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