【摘要】 以中国逐日网格降水量实时分析系统数据集(CGDPA)为参考值,基于时空分布特征评估中国区域地面气象要素数据集降水产品(CMFD_P)、全球高分辨率陆面模拟系统降水产品(GLDAS_P)、中国陆面数据同化系统降水产品(CLDAS_P)、中国自动站和CMORPH融合网格降水量数据集(CMPA)在呼兰河流域精度。结果表明,(1) CMFD_P与GLDAS_P整体高估多年平均降水量,CLDAS_P与CMPA整体低估多年平均降水量。(2) 4套数据捕捉年内大部分降水集中在汛期,但相对于其他数据,GLDAS_P年内分配表现坦化特征,汛期偏低,非汛期偏高。(3)日降水精度由优到劣为CMPA>CMFD_P>CLDAS_P>GLDAS_P。(4)各套产品可捕捉降水量自东北向西南递减总体空间分布特征。更多还原

【Abstract】 China Gauge-based Daily Precipitation Analysis(CGDPA) was selected as a reference value, the accuracy of Precipitation product of China Meteorological Forcing Dataset(CMFD_P),Precipitation product of Global Land Data Assimilation System(GLDAS_P), Precipitation product of China Land Data Assimilation System(CLDAS_P), and CMPA hourly Precipitation product in the Hulanhe Basin was evaluated based on the temporal and spatial distribution characteristics. The results showed that:(1) The multi-year average annual precipitation of CMFD_P and GLDAS_P was overall overestimated, while that of CLDAS_P and CMPA was overall underestimated.(2) The four sets of data could capture that most of the precipitation in the year was concentrated in the flood season, but compared with other three sets of data, the distribution of GLDAS_P in a year showed the characteristics of flattening, with low precipitation in flood season and high precipitation in non-flood season.(3) The descending order of daily precipitation accuracy was CMPA>CMFD_P>CLDAS_P>GLDAS_P.(4) Each set of precipitation products could capture the overall spatial distribution characteristics of precipitation decreasing from northeast to southwest.更多还原