TRMM降水数据在洞庭湖流域的精度评估和应用
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摘要
高分辨率卫星降雨产品的出现为降水观测提供了良好的前景。然而这些产品在使用前需要经过全面的精度评估。评估了TRMM (Tropical Rainfall Measuring Mission)3B43V7降水数据在洞庭湖流域的精度和适应性。基于洞庭湖流域1998—2011年TRMM降水数据和27个气象站点的实测降水数据,采用相关系数、均方根误差和均方误差技能分数等指标在月和季尺度下评估其在流域内精度,揭示各指标的空间分布特征。结果表明:(1)在月尺度上,TRMM数据与实测数据拟合良好,相关系数为0.89,但TRMM数据在流域大部分地区高估降水。(2)在季尺度上,TRMM数据精度较月尺度有所提升,相关系数达到0.94,并且可靠性更高。(3)两种数据在流域降水时空分布上表现出一致性,在春夏两季为湿润多雨期,秋冬季节降水则相对匮乏。流域内降水分布不均匀,整体呈从东南向西北减少趋势。
The high-resolution satellite rainfall products provide a great opportunity to monitor precipitation. However, the accuracies of these products need assessment before use. The objective of this study is to evaluate the accuracies and adaptabilities of the application of TRMM(Tropical Rainfall Measuring Mission) 3 B43 V7 data in the Dongting Lake Basin. The TRMM data and 27 meteorological precipitation data in the Dongting Lake Basin were collected from 1998 to 2011. The indices including correlation coefficient(r), root-mean-square error(RMSE) and mean square skill score(MSSS) were used to assess the accuracy of the TRMM data at the monthly and seasonal scales, respectively, within the basin, and the spatial distribution characteristics of each index was investigated. The results showed that:(1) on the monthly scale, the TRMM data had a good fit with the observed precipitation data with the correlation coefficient of 0.89; overall, the TRMM data was higher than that of the observed precipitation data in most areas of the basin;(2) at the seasonal scale, the TRMM data were comparatively more accurate with the correlation coefficient of 0.94, and the reliability was higher;(3) the temporal distributions of the two kinds of data were similar in the Dongting Lake Basin, the precipitation was higher in spring and summer while it was lower in autumn and winter. The distribution of precipitation is uneven in the Dongting Lake Basin, which reduces from the southeast to the northwest.
The high-resolution satellite rainfall products provide a great opportunity to monitor precipitation. However, the accuracies of these products need assessment before use. The objective of this study is to evaluate the accuracies and adaptabilities of the application of TRMM(Tropical Rainfall Measuring Mission) 3 B43 V7 data in the Dongting Lake Basin. The TRMM data and 27 meteorological precipitation data in the Dongting Lake Basin were collected from 1998 to 2011. The indices including correlation coefficient(r), root-mean-square error(RMSE) and mean square skill score(MSSS) were used to assess the accuracy of the TRMM data at the monthly and seasonal scales, respectively, within the basin, and the spatial distribution characteristics of each index was investigated. The results showed that:(1) on the monthly scale, the TRMM data had a good fit with the observed precipitation data with the correlation coefficient of 0.89; overall, the TRMM data was higher than that of the observed precipitation data in most areas of the basin;(2) at the seasonal scale, the TRMM data were comparatively more accurate with the correlation coefficient of 0.94, and the reliability was higher;(3) the temporal distributions of the two kinds of data were similar in the Dongting Lake Basin, the precipitation was higher in spring and summer while it was lower in autumn and winter. The distribution of precipitation is uneven in the Dongting Lake Basin, which reduces from the southeast to the northwest.
引文
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[19]李景刚,黄诗峰,李纪人,等.1960-2008年洞庭湖流域降水变化时空特征分析[J].中国水利水电科学研究院学报,2010,8(4):275-280.
[20]Liu M X,Xu X L,Sun A Y,et al.Evaluation of highresolution satellite rainfall products using rain gauge data over complex terrain in southwest China[J].Theoretical and Applied Climatology,2015,119(1/2):203-219.
[21]任亮,王晓峰,曾昭昭.陕西秦巴山区TRMM 3B42卫星降水数据精度评价[J].陕西师范大学学报:自然科学版,2017,45(1):87-97.
[2]江善虎,任立良,雍斌,等.TRMM卫星降水数据在洣水流域径流模拟中的应用[J].水科学进展,2014,25(5):641-649.
[3]邱冰,姜加虎,孙占东.基于MODIS数据的降水估算在博斯腾湖流域的应用[J].干旱区研究,2010,27(5):675-679.
[4]吴雪娇,杨梅学,吴洪波,等.TRMM多卫星降水数据在黑河流域的验证与应用[J].冰川冻土,2013,35(2):310-319.
[5]周李磊,杨华,刘睿,等.基于TRMM数据的西南地区年降水时空特征研究[J].重庆师范大学学报:自然科学版,2017,34(1):114-122,142.
[6]石志华,刘梦云,常庆瑞,等.基于优化参数的陕西省气温、降水栅格化方法分析[J].自然资源学报,2015,30(7):1141-1152.
[7]Sorooshian S,Hsu K L,Gao X,et al.Evaluation of PERSIANN system satellite-based estimates of tropical rainfall[J].Bulletin of the American Meteorological Society,2000,81(9):2035-2046.
[8]Joyce R J,Janowiak J E,Arkin P A,et al.CMORPH:A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution[J].Journal of Hydrometeorology,2004,5(3):487-503.
[9]Huffman G J,Bolvin D T,Nelkin E J,et al.The TRMM multisatellite precipitation analysis(TMPA):Quasi-global,multiyear,combined-sensor precipitation estimates at fine scales[J].Journal of Hydrometeorology,2007,8(1):38-55.
[10]吴建峰,陈阿林,嵇涛,等.TRMM降水数据在复杂山地的精度评估:以重庆市为例[J].水土保持通报,2014,34(4):201-207.
[11]曾红伟,李丽娟.澜沧江及周边流域TRMM 3B43数据精度检验[J].地理学报,2011,66(7):994-1004.
[12]张月圆,李运刚,季漩,等.红河流域TRMM卫星降水数据精度评价[J].水资源与水工程学报,2017,28(2):1-8.
[13]赵军,刘原峰,朱国锋,等.热带测雨卫星数据在黑河流域的精度及应用[J].水土保持通报,2016,36(3):309-315.
[14]王维琛,张唯,谭伟伟,等.融合时空异质特征的TRMM 3B43降水产品适宜性分析:以湖北省为例[J].地理与地理信息科学,2017,33(1):59-66.
[15]沈彬,李新功.塔里木河流域TRMM降水数据精度评估[J].干旱区地理:汉文版,2015,38(4):703-712.
[16]秦福莹,贾根锁,杨劼,等.基于TRMM卫星数据的蒙古高原降水精度评估与季节分布特征[J].干旱区研究,2018,35(2):395-403.
[17]田玉刚,覃东华,杜渊会.洞庭湖地区洪水灾害风险评估[J].灾害学,2011,26(3):56-60.
[18]孙葭,章新平,黄一民.不同再分析降水数据在洞庭湖流域的精度评估[J].长江流域资源与环境,2015,24(11):1850-1859.
[19]李景刚,黄诗峰,李纪人,等.1960-2008年洞庭湖流域降水变化时空特征分析[J].中国水利水电科学研究院学报,2010,8(4):275-280.
[20]Liu M X,Xu X L,Sun A Y,et al.Evaluation of highresolution satellite rainfall products using rain gauge data over complex terrain in southwest China[J].Theoretical and Applied Climatology,2015,119(1/2):203-219.
[21]任亮,王晓峰,曾昭昭.陕西秦巴山区TRMM 3B42卫星降水数据精度评价[J].陕西师范大学学报:自然科学版,2017,45(1):87-97.
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