TRMM降雨数据在喀斯特地区的适用性分析——以贵州省为例
|
摘要
为验证TRMM(Tropical Rainfall Measurement Mission)降雨数据在喀斯特地区的适用性,以贵州省为研究区,利用贵州省19个气象台站1998-2015年的降水数据,在年尺度和月尺度上验证了TRMM卫星降水数据的精度,并在此基础上基于TRMM月降水数据分析了贵州省的降水时空分布特征。结果表明TRMM降水数据基本能反映降水的空间分布及演变过程,年尺度上TRMM降水数据与站点实测降水量相关系数R=0.817,斜率K=0.751,数据精度较高,数值上比站点实测降水量略高。月尺度上TRMM降水数据与站点实测降水量相关系数最高,达到0.927,斜率为0.9127,数值略高于站点实测降水量。分析表明:坡度对TRMM降水数据精度的影响大于高程和坡向,坡度小于10°的精度较高。总体而言,TRMM降水数据在喀斯特地区具有一定精度,但是降水量少或地形起伏大的地区精度相对较低。
In order to verify the applicability of rainfall data of TRMM( Tropical Rainfall Measurement Mission) in karst area,this study takes Guizhou Province as the research area and uses the precipitation record of 19 meteorological stations in Guizhou Province from 1998 to 2015,and on the yearly and monthly scale the accuracy of precipitation data of TRMM satellite is verified,and the temporal and spatial distribution characteristics of precipitation in Guizhou Province are analyzed based on the monthly precipitation data of TRMM.The results show that the TRMM precipitation data can reflect the spatial distribution and evolution of precipitation.On the yearly scale,the correlation coefficient between the TRMM precipitation data and the observed data from metrological stations is R = 0.817 and,the slope is K = 0.751.The data accuracy is high,and the TRMM precipitation data value is slightly higher than the observed data form metrological stations.On the monthly scale,the correlation coefficient between TRMM precipitation data and site precipitation is 0.927,which is the highest,and the slope is 0.9127.The value of former is slightly higher than that of the measured precipitation.In areas with an altitude greater than 1 300 m and a slope less than 10°,TRMM precipitation data is more accurate.The analysis shows that the effect of elevation on the accuracy of TRMM precipitation data is greater than that of slope and aspect.In general,the TRMM precipitation data has a certain accuracy in the karst area,but the accuracy in the area with less precipitation or complex terrain is relatively low.
In order to verify the applicability of rainfall data of TRMM( Tropical Rainfall Measurement Mission) in karst area,this study takes Guizhou Province as the research area and uses the precipitation record of 19 meteorological stations in Guizhou Province from 1998 to 2015,and on the yearly and monthly scale the accuracy of precipitation data of TRMM satellite is verified,and the temporal and spatial distribution characteristics of precipitation in Guizhou Province are analyzed based on the monthly precipitation data of TRMM.The results show that the TRMM precipitation data can reflect the spatial distribution and evolution of precipitation.On the yearly scale,the correlation coefficient between the TRMM precipitation data and the observed data from metrological stations is R = 0.817 and,the slope is K = 0.751.The data accuracy is high,and the TRMM precipitation data value is slightly higher than the observed data form metrological stations.On the monthly scale,the correlation coefficient between TRMM precipitation data and site precipitation is 0.927,which is the highest,and the slope is 0.9127.The value of former is slightly higher than that of the measured precipitation.In areas with an altitude greater than 1 300 m and a slope less than 10°,TRMM precipitation data is more accurate.The analysis shows that the effect of elevation on the accuracy of TRMM precipitation data is greater than that of slope and aspect.In general,the TRMM precipitation data has a certain accuracy in the karst area,but the accuracy in the area with less precipitation or complex terrain is relatively low.
引文
[1]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.
[2]田苗,童杨辉.TRMM卫星降水数据在江苏省的适用性分析[J].江苏农业科学,2016,44(12):440-444.
[3]王兆礼,钟睿达,赖成光,等.TRMM卫星降水反演数据在珠江流域的适用性研究——以东江和北江为例[J].水科学进展,2017,28(2):174-182.
[4]吕洋,杨胜天,蔡明勇,等.TRMM卫星降水数据在雅鲁藏布江流域的适用性分析[J].自然资源学报,2013,28(8):1414-1425.
[5]PRAKASH S,MITRA A K,MOMIN I M,et al.Comparison of TMPA-3B42 versions 6 and 7 precipitation products with gauge-based data over India for the southwest monsoon period[J].Journal of Hydrometeorology,2015,16(1):346-362.
[6]AGHAKOUCHAK A,NASROLLAHI N,HABIB E.Accounting for uncertainties of the TRMM satellite estimates[J].Remote Sensing,2009,1(3):606-619.
[7]王晓杰,刘海隆,包安明.TRMM降水产品在天山及周边地区的适用性研究[J].水文,2014,34(1):58-64.
[8]蔡研聪,金昌杰,王安志,等.中高纬度地区TRMM卫星降雨数据的精度评价[J].应用生态学报,2014,25(11):3296-3306.
[9]骆三,苗峻峰,牛涛,等.TRMM测雨产品3B42与台站资料在中国区域的对比分析[J].气象,2011,37(9):1081-1090.
[10]穆振侠,姜卉芳,刘丰.基于TRMM/TMI与实测站点的降水垂直分布差异性探讨[J].干旱区研究,2010,27(4):515-521.
[11]郝振纯,童凯,张磊磊,等.TRMM降水资料在青藏高原的适用性分析[J].水文,2011,31(5):18-23.
[12]李威,蒋平,赵卫权,等.TRMM卫星降水数据在喀斯特山区的适用性分析——以贵州省为例[J].水土保持研究,2016,23(1):97-102.
[13]XIE P,ARKIN P A.Global precipitation:A 17-year monthly analysis based on gauge observations,satellite estimates,and numerical model outputs[J].Bulletin of the American Meteorological Society,1997,78(11):2539-2558.
[14]NEW M,TODD M,HULME M,et al.Precipitation measurements and trends in the twentieth century[J].International Journal of Climatology,2001,21(15):1889-1922.
[15]罗火钱,李成伟,魏加华,等.TRMM降水数据在沙溪流域的精度验证[J].亚热带资源与环境学报,2015,10(4):69-76.
[16]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
[2]田苗,童杨辉.TRMM卫星降水数据在江苏省的适用性分析[J].江苏农业科学,2016,44(12):440-444.
[3]王兆礼,钟睿达,赖成光,等.TRMM卫星降水反演数据在珠江流域的适用性研究——以东江和北江为例[J].水科学进展,2017,28(2):174-182.
[4]吕洋,杨胜天,蔡明勇,等.TRMM卫星降水数据在雅鲁藏布江流域的适用性分析[J].自然资源学报,2013,28(8):1414-1425.
[5]PRAKASH S,MITRA A K,MOMIN I M,et al.Comparison of TMPA-3B42 versions 6 and 7 precipitation products with gauge-based data over India for the southwest monsoon period[J].Journal of Hydrometeorology,2015,16(1):346-362.
[6]AGHAKOUCHAK A,NASROLLAHI N,HABIB E.Accounting for uncertainties of the TRMM satellite estimates[J].Remote Sensing,2009,1(3):606-619.
[7]王晓杰,刘海隆,包安明.TRMM降水产品在天山及周边地区的适用性研究[J].水文,2014,34(1):58-64.
[8]蔡研聪,金昌杰,王安志,等.中高纬度地区TRMM卫星降雨数据的精度评价[J].应用生态学报,2014,25(11):3296-3306.
[9]骆三,苗峻峰,牛涛,等.TRMM测雨产品3B42与台站资料在中国区域的对比分析[J].气象,2011,37(9):1081-1090.
[10]穆振侠,姜卉芳,刘丰.基于TRMM/TMI与实测站点的降水垂直分布差异性探讨[J].干旱区研究,2010,27(4):515-521.
[11]郝振纯,童凯,张磊磊,等.TRMM降水资料在青藏高原的适用性分析[J].水文,2011,31(5):18-23.
[12]李威,蒋平,赵卫权,等.TRMM卫星降水数据在喀斯特山区的适用性分析——以贵州省为例[J].水土保持研究,2016,23(1):97-102.
[13]XIE P,ARKIN P A.Global precipitation:A 17-year monthly analysis based on gauge observations,satellite estimates,and numerical model outputs[J].Bulletin of the American Meteorological Society,1997,78(11):2539-2558.
[14]NEW M,TODD M,HULME M,et al.Precipitation measurements and trends in the twentieth century[J].International Journal of Climatology,2001,21(15):1889-1922.
[15]罗火钱,李成伟,魏加华,等.TRMM降水数据在沙溪流域的精度验证[J].亚热带资源与环境学报,2015,10(4):69-76.
[16]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
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |