摘要
基于雅砻江流域及邻近地区28个地面气象站点资料,在不同时空尺度采用降水探测评价指标评价了多源降水再分析产品——中国区域高时空分辨率地面气象要素驱动数据集(CMFD)中的降水资料,全球降水计划多卫星集成降水产品(GPM-IMERG)和多源加权融合降水产品(MSWEP)三种降水产品在研究区的适用情况。结果表明:虽然CMFD在湿季和年尺度研究区有极轻微的低估现象,但在各时间尺度表现均优于IMERG和MSWEP;在日、月、年和湿季尺度,三者精度同纬度和高程成正比,在干季,纬度高海拔地区精度较中低纬度和中低海拔地区低;CMFD和IMERG精度随月、年、湿季、干季和日尺度的顺序降低;而MSWEP精度随月、年、干季、湿季和日尺度的顺序降低;IMERG在湿季、MSWEP在干季表现较好,在月尺度二者表现相近;CMFD探测不同量级雨量能力最高,MSWEP和IMERG分别次之;随着降水数量的增加,各数据集探测能力均变弱。研究结果为研究区水文气象工作提供借鉴。
Based on the observed data of 28 meteorological stations in the Yalong River basin and adjacent areas,this paper applied precipitation detecting indices to evaluate the applicability of CMFD(a multi-source precipitation reanalysis products,which is named as China Meteorological Forcing Dataset),GPM-IMERG(Integrated Multi-satellitE Retrievals for Global Precipitation Measurement)and MSWEP(Multi-Source Weighted-Ensemble Precipitation)on different temporal and spatial scales.The results show that although CMFD has a slight underestimation on the wet season and annual scales,it still performs better than IMERG and MSWEP on the different time scales.On the daily,monthly,yearly,and wet season scales,the precipitation accuracy of the three datasets are proportional to latitude and elevation.In the dry season,however,the precipitation accuracy in high-altitude and high-latitude areas is lower than that in middle-low latitude and mid-low-altitude areas.The accuracy of CMFD and IMERG decrease with the order of monthly,yearly,wet season,dry season,and daily scales while that of MSWEP decreases with the order of monthly,yearly,dry season,wet season,and daily scales.In addition,IMERG performs better in wet season while MSWEP performs better in dry season,and both of them perform similarly on monthly scale.CMFD performs best when detecting rainfall of different magnitudes,followed by MSWEP and IMERG.The detecting ability of each dataset decreases with the increase of precipitation amount.
作者
黄琦
王瑞敏
向俊燕
覃光华
HUANG Qi;WANG Ruimin;XIANG Junyan;QIN Guanghua(College of Water Resource and Hydropower,Sichuan University,Chengdu 610065,China;State Key Laboratory of Hydraulics and Mountain River Engineering,Sichuan University,Chengdu 610065,China)
出处
《水文》
CSCD
北大核心
2020年第4期14-21,共8页
Journal of China Hydrology
基金
国家自然科学基金项目“川西南山区山洪灾害临界雨量及相应洪峰研究”(51879172)。
