最新GPM降水数据在黄河流域的精度评估
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摘要
基于黄河流域雨量计网络降水数据,利用相关系数、平均误差、均方根误差和相对误差4个评估指标以及极端降水指数和误差分析方法,研究全球降水测量计划卫星(global precipitation mission,GPM)的2个降水产品(GSMap-gauged和GPM IMERG)的误差空间变化特征、对极端降水的捕捉能力和降水数据精度。结果显示:2个产品数据都大体存在西部低估,东部高估的现象,而相比于GSMap-gauged产品,GPM IMERG产品在大部分地区的误差更大,并且漏报误差受海拔和降水强度的影响更为显著,但对微量降水的观测较为精确些; 2个降水产品日尺度降水数据统计指标对比表明,GSMap-gauged产品的相关系数更大,平均误差绝对值更小,监测性能更好;在极端降水观测能力上,GSMap-gauged产品监测能力强于GPM IMERG产品。
Based on the data from the rain gauge stations of the Yellow River Basin and using the evaluation index,extreme precipitation index and error analysis method,the authors studied the spatial and temporal variation characteristics of errors and the accuracy of data of two GPM satellite precipitation products(GSMap-gauged and GPM IMERG) obtained from April 2014 to March 2016 and analyzed the extreme precipitation capturing capability of the two products.The results showed that the two products generally underestimated precipitation in the western region of the basin and overestimated precipitation in the eastern part.Compared with GSMap-gauged,IMERG had bigger errors in most areas.In addition,the phenomenon of missing error in IMERG was more obvious due to elevation and precipitation intensity,but IMERG had a more accurate data for micro-precipitation.The daily scale data statistics showed that GSMap-gauged had a better relevance in each sub-basin,and its mean error is smaller.The correlation coefficient value of extreme precipitation index obtained by GSMap-gauged was higher than that of IMERG.
Based on the data from the rain gauge stations of the Yellow River Basin and using the evaluation index,extreme precipitation index and error analysis method,the authors studied the spatial and temporal variation characteristics of errors and the accuracy of data of two GPM satellite precipitation products(GSMap-gauged and GPM IMERG) obtained from April 2014 to March 2016 and analyzed the extreme precipitation capturing capability of the two products.The results showed that the two products generally underestimated precipitation in the western region of the basin and overestimated precipitation in the eastern part.Compared with GSMap-gauged,IMERG had bigger errors in most areas.In addition,the phenomenon of missing error in IMERG was more obvious due to elevation and precipitation intensity,but IMERG had a more accurate data for micro-precipitation.The daily scale data statistics showed that GSMap-gauged had a better relevance in each sub-basin,and its mean error is smaller.The correlation coefficient value of extreme precipitation index obtained by GSMap-gauged was higher than that of IMERG.
引文
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[2]Buarque D C,De Paiva R C D,Clarke R T.A comparison of Amazon rainfall characteristics derived from TRMM,CMORPH and the Brazilian national rain gauge network[J].Journal of Geophysical Research Atmospheres,2011,116:D19.
[3]Germann U,Galli G,Boscacci M,et al.Radar precipitation measurement in a mountainous region[J].Quarterly Journal of the Royal Meteorological Society,2006,132(618):1669-1692.
[4]Dinku T,Anagnostou E N,Borga M.Improving Radar-based estimation of rainfall over complex terrain.[J].Journal of Applied Meteorology,2007,41(12):1163-1178.
[5]嵇涛,杨华,刘睿,等.TRMM卫星降水数据在川渝地区的适用性分析[J].地理科学进展,2014,33(10):1375-1386.Ji T,Yang H,Liu R,et al.Applicability analysis of the TRMM precipitation data in the Sichuan-Chongqing region[J].Progress in Geography,2014,33(10):1375-1386.
[6]Hong Y,Chen S,Xue X W,et al.Global precipitation estimation and applications[J].Multiscale Hydrologic Remote Sensing,2012:371-386.
[7]Hou A Y,Kakar R,Neeck S,et al.The global precipitation measurement mission[J].Bulletin of the American Meteorological Society,2014,95(5):701-722.
[8]Ning S W,Wang J,Jin J L,et al.Assessment of the latest GPM-Era high-resolution satellite precipitation products by comparison with observation gauge data over the Chinese mainland[J].Water,2016,8(11):481-497.
[9]唐国强,万玮,曾子悦,等.全球降水测量(GPM)计划及其最新进展综述[J].遥感技术与应用,2015,30(4):607-615.Tang G Q,Wan W,Zeng Z Y,et al.An overview of the global precipitation measurement(GPM)mission and it's latest development[J].Remote Sensing Technology and Application,2015,30(4):607-615.
[10]孙永军.黄河流域湿地遥感动态监测研究[D].北京:北京大学,2008.Sun Y J.Study of Remote Sensing Monitoring of Wetland Dynamic Change in Yellow River Drainage Area[D].Beijing:Peking University,2008.
[11]Guo H,Chen S,Bao A M,et al.Early assessment of integrated multisatellite retrievals for global precipitation measurement over China[J].Atmospheric Research,2016,176-177(1):121-133.
[12]Shen Y,Xiong A Y.Validation and comparison of a new gaugebased precipitation analysis over mainland China[J].International Journal of Climatology,2015,36(1):252-265.
[13]Ning S W,Song F,Udmale P,et al.Error analysis and evaluation of the latest GSMap and IMERG precipitation product over eastern China[J].Advances in Meteorology,2017(11):1-16.
[14]Ushio T,Sasashige K,Kubota T,et al.A Kalman filter approach to the global satellite mapping of precipitation(GSMaP)from combined passive microwave and infrared radiometric data[J].Journal of the Meteorological Society of Japan,2009,87A(3):137-151.
[15]Xie P P,Yatagai A,Chen M Y,et al.A Gauge-based analysis of daily precipitation over East Asia[J].Journal of Hydrometeorology,2007,8(3):607-626.
[16]Tian Y D,Peters-Lidard C D,Eylander J B,et al.Component analysis of errors in satellite-basd precipitation estimates[J].Journal of Geophysical Research Atmospheres,2009,114(2):137-144.