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作 者:杨娇[1] 史岚[2] 缪启龙[3] 张狄[2] 万逸波
机构地区:[1]南京信息工程大学滨江学院,江苏南京210044 [2]南京信息工程大学地理与遥感学院,江苏南京210044 [3]南京信息工程大学应用气象学院,江苏南京210044
出 处:《江苏师范大学学报(自然科学版)》2017年第2期73-78,共6页Journal of Jiangsu Normal University:Natural Science Edition
基 金:国家自然科学基金资助项目(41405107);江苏省大学生创新实践项目(201513982013Y)
摘 要:采用地面雨量站点观测降水作为基准数据,通过回归分析法评估了2001~2010年CMPA、TRMM3b43V7、CMORPH1.0(gauge-satellite)3套遥感降水资料在秦岭大巴山区的精度;结合数字高程模型,分析了地形因子与遥感降水资料的精度关系.研究表明,CMPA、TRMM3b43V7、CMORPH1.0(gauge-satellite)遥感降水资料的降水空间分布与地面站点观测结果相似.其中CMPA资料在月、年尺度上与地面实测相关性最高,与地面观测值最为接近,CMORPH1.0(gauge-satellite)各项误差指标变化较明显,相关性最低,TRMM3b43V7居中.在复杂地形下,CMPA模拟精度最好,CMORPH1.0(gauge-satellite)因受地形影响,降水估算能力有限,精度最差.The accuracy of CMPA,TRMM3b43 V7 and CMORPH1.0(gauge-satellite)remote sensing precipitation data in Qinling-Daba Mountains from 2001 to 2010is evaluated with regression analysis by using the ground rainfall observation data as the reference data;combined with the digital elevation model,the relationship between the accuracy of topographic factors and remote sensing precipitation data is analysed.The results show that:the spatial distribution of precipitation in the study area,CMPA,TRMM3b43 V7 and CMORPH1.0(gauge-satellite),and the observation results of the ground stations are similar.The CMPA data in the monthly and annual scales have the highest correlation with the ground stations,MRE has minimum,bias fluctuation amplitude is small,are the closest to the ground observation;CMORPH1.0(gauge-satellite)error indicators obvious change,with the lowest correlation;and the TRMM3b43V7 in middle.In the complex terrain,three sets precipitation data are more consistent.Among them,the CMPA simulation accuracy is the best,the CMORPH is affected by the terrain,whose precipitation estimation ability is limited,and the accuracy is the worst.
关 键 词:CMPA TRMM3b43 V7 CMORPH1. 0(gauge-satellite)遥感降水资料 精度评估 秦岭大巴山区
分 类 号:P426[天文地球—大气科学及气象学]
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