文章摘要
冯海涛, 于国荣, 杨具瑞.基于TRMM 3B43 V7数据的云南降水与干旱监测及精度评价Journal of Water Resources and Water Engineering[J].,2014,25(4):89-96
基于TRMM 3B43 V7数据的云南降水与干旱监测及精度评价
Precipitation and drought monitoring based on TRMM 3B43 V7 data and precision evaluation in Yunnan
  
DOI:10.11705/j.issn.1672-643X.2014.04.019
中文关键词: TRMM 3B43 V7  降水监测  干旱监测  降水  时空特征  精度评价
英文关键词: TRMM 3B43 V7  precipitation monitoring  drought monitoring  precipitation  temporal and spatial distribution of precipitation  precision evaluation
基金项目:国家自然科学基金项目(41061053)
Author NameAffiliation
FENG Haitaoa, YU Guoronga, YANG Juruib (昆明理工大学 a.电力工程学院 b.现代农业工程学院 昆明 650500) 
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中文摘要:
      选取云南省12个分布均匀的气象站点对TRMM 3B43 Version7降水数据进行相关性分析,利用降水Z指数进行干旱监测精度评价,分析云南省15年逐年及特大旱灾实例逐月的干旱时空特征。结果表明:TRMM数据的精度较高,多数站点的相关系数R2均在0.9以上,大部分TRMM数据比实测偏小;就全省而言年降水量有递减趋势,雨季主要集中在5-10月份占全年降水量的85.47% ,降水量由东北向西南逐渐增加;单站及全省范围的TRMM-Z指数均与实测旱情趋势一致,其中11个站点的Z指数相关系数R2均在0.7~0.85左右,全省年尺度TRMM-Z指数精度比单站略高; TRMM-Z指数监测的15年旱情及旱灾实例时空特征与实情相符,旱灾程度略低于实际情况,该监测方法在本区域适用性强。
英文摘要:
      The 12 uniform distributed meteorological stations in Yunnan can be used to carried out correlation analysis to precipitation data of TRMM 3B43 V7 products. Then the precipitation Z index was used for the evaluation of dry monitoring accurancy. The paper also analyzed the monthly drought temporary and spatial feature of great drought instance in Yunnan for 15 years. The results show that TRMM data have high precision and correlation coefficient (R2) in most of the stations is more than 0.9, majority of TRMM data are smaller than observed data. Annual rainfall in Yunnan has a decrease trend, the rainy season is mainly concentrated from May to October which accounts for 85.47% of annual precipitation. The precipitation gradually increases from northeast to southwest. The TRMM-Z indexes in single station and the whole province's stations are consistent with the actual drought trend. The correlation coefficient R2 of Z index in 11 stations are about 0.7~0.8, while the province's annual scale TRMM-Z index has higher precision than that of single station. Meanwhile, the drought monitoring instances monitored by TRMM-Z index is basically consistent with the observed temporal and spatial- distribution features and drought disaster is lower than the actual degree. So the monitoring method is practical in the area.
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