为探究高分辨率多卫星联合反演IMERG(Integrated Multi-satellitE Retrievals for GPM)卫星降水产品在大汶河流域的监测精度与适用性,以2001~2019年较长系列地面雨量站实测数据为基准,采用探测率、虚报率等11个指标,对IMERG系列Early、L...为探究高分辨率多卫星联合反演IMERG(Integrated Multi-satellitE Retrievals for GPM)卫星降水产品在大汶河流域的监测精度与适用性,以2001~2019年较长系列地面雨量站实测数据为基准,采用探测率、虚报率等11个指标,对IMERG系列Early、Late、Final产品在研究区的降水监测能力进行评价。结果表明:(1)日、月、年尺度下,Final产品的精度最好,Early、Late两个产品的精度基本一致,在时间上,IMERG系列产品均能较好反映流域降水的年际变化与年内分配;在空间上,表现为整体高估研究区降水量,低估泰山区域降水量(相对偏差小于-20%)。(2)在不同强度日降水探测能力方面,IMERG系列产品间差异不大,仅对小雨有较好的命中率(探测率>0.6)。各产品探测能力一般,整体表现为误报率较高(误报率>0.7)、探测率与关键成功率较低,同时,随着降水强度的增大,各产品探测能力呈下降趋势。(3) IMERG系列产品均具有一定的极端降水监测能力,Final产品评价结果更优、表现更为稳定,在参与评价的5个指数中,Final产品有4个指数结果最优,Late产品有1个最优,Early产品则有4个指数结果优于Late产品。总体上,IMERG系列数据均能较好反映大汶河流域(除泰山区域)降水的时空分布与极端降水情况,Final产品整体精度最高,Early、Late产品精度较为接近,其中,Early产品在极端降水监测中的表现好于Late产品,而对不同强度日降水事件的监测能力差于Late产品。展开更多
A comprehensive assessment of representative satellite-retrieved(Integrated Multi-satellite Retrievals for Global Precipitation Measurement(IMERG)and Tropical Rainfall Measuring Mission Multi-satellite Precipitation A...A comprehensive assessment of representative satellite-retrieved(Integrated Multi-satellite Retrievals for Global Precipitation Measurement(IMERG)and Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis(TMPA)),reanalysis-based(fifth generation of atmospheric reanalysis by the European Centre for Medium Range Weather Forecasts(ERA5)),and gauge-estimated(Climate Prediction Center(CPC))precipitation products was conducted using the data from 807 meteorological stations across China's Mainland from 2001 to 2017.Error statistical metrics,precipitation distribution functions,and extreme precipitation indices were used to evaluate the quality of the four precipitation products in terms of multi-timescale accuracy and extreme precipitation estimation.When the timescale increased from daily to seasonal scales,the accuracy of the four precipitation products first increased and then decreased,and all products performed best on the monthly timescale.Their accuracy ranking in descending order was CPC,IMERG,TMPA,and ERA5 on the daily timescale and IMERG,CPC,TMPA,and ERA5 on the monthly and seasonal timescales.IMERG was generally superior to its predecessor TMPA on the three timescales.ERA5 exhibited large statistical errors.CPC provided stable estimated values.For extreme precipitation estimation,the quality of IMERG was relatively consistent with that of TMPA in terms of precipitation distribution and extreme metrics,and IMERG exhibited a significant advantage in estimating moderate and heavy precipitation.In contrast,ERA5 and CPC exhibited poor performance with large systematic underestimation biases.The findings of this study provide insight into the performance of the latest IMERG product compared with the widely used TMPA,ERA5,and CPC datasets,and points to possible directions for improvement of multi-source precipitation data fusion algorithms in order to better serve hydrological applications.展开更多
以贵州省三岔河流域为研究区域,利用2018年1月1日~2020年12月31日期间的76个气象站观测数据评估全球降水观测计划多卫星降水产品IMERG(Integrated Multi-satellitE Retrievals for GPM)的雨量站订正产品IMERG Final Run(IMERG_FR)和准...以贵州省三岔河流域为研究区域,利用2018年1月1日~2020年12月31日期间的76个气象站观测数据评估全球降水观测计划多卫星降水产品IMERG(Integrated Multi-satellitE Retrievals for GPM)的雨量站订正产品IMERG Final Run(IMERG_FR)和准实时产品IMERG Early Run(IMERG_ER)在岩溶地貌的小流域的降水观测准确度,通过设定不同的降水阈值评估IMERG两种降水产品IMERG_FR和IMERG_ER对不同降水量区间的探测能力,评估指标包括相关系数(CCC)、相对偏差(RRB)、均方根误差(RRMSE)、探测率(PPOD)、临界成功指数(CCSI)和误报率(FFAR)。结果表明,在整体上,IMERG_FR和IMERG_ER在该小型流域有一定降水探测能力,对降水强度的估算精度还存在提升空间。展开更多
基金supported by the National Natural Science Foundation of China(Grant No.51979069)the Fundamental Research Funds for the Central Universities(Grant No.B200204029)the National Natural Science Foundation of Jiangsu Province,China(Grant No.BK20211202).
文摘A comprehensive assessment of representative satellite-retrieved(Integrated Multi-satellite Retrievals for Global Precipitation Measurement(IMERG)and Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis(TMPA)),reanalysis-based(fifth generation of atmospheric reanalysis by the European Centre for Medium Range Weather Forecasts(ERA5)),and gauge-estimated(Climate Prediction Center(CPC))precipitation products was conducted using the data from 807 meteorological stations across China's Mainland from 2001 to 2017.Error statistical metrics,precipitation distribution functions,and extreme precipitation indices were used to evaluate the quality of the four precipitation products in terms of multi-timescale accuracy and extreme precipitation estimation.When the timescale increased from daily to seasonal scales,the accuracy of the four precipitation products first increased and then decreased,and all products performed best on the monthly timescale.Their accuracy ranking in descending order was CPC,IMERG,TMPA,and ERA5 on the daily timescale and IMERG,CPC,TMPA,and ERA5 on the monthly and seasonal timescales.IMERG was generally superior to its predecessor TMPA on the three timescales.ERA5 exhibited large statistical errors.CPC provided stable estimated values.For extreme precipitation estimation,the quality of IMERG was relatively consistent with that of TMPA in terms of precipitation distribution and extreme metrics,and IMERG exhibited a significant advantage in estimating moderate and heavy precipitation.In contrast,ERA5 and CPC exhibited poor performance with large systematic underestimation biases.The findings of this study provide insight into the performance of the latest IMERG product compared with the widely used TMPA,ERA5,and CPC datasets,and points to possible directions for improvement of multi-source precipitation data fusion algorithms in order to better serve hydrological applications.
文摘以贵州省三岔河流域为研究区域,利用2018年1月1日~2020年12月31日期间的76个气象站观测数据评估全球降水观测计划多卫星降水产品IMERG(Integrated Multi-satellitE Retrievals for GPM)的雨量站订正产品IMERG Final Run(IMERG_FR)和准实时产品IMERG Early Run(IMERG_ER)在岩溶地貌的小流域的降水观测准确度,通过设定不同的降水阈值评估IMERG两种降水产品IMERG_FR和IMERG_ER对不同降水量区间的探测能力,评估指标包括相关系数(CCC)、相对偏差(RRB)、均方根误差(RRMSE)、探测率(PPOD)、临界成功指数(CCSI)和误报率(FFAR)。结果表明,在整体上,IMERG_FR和IMERG_ER在该小型流域有一定降水探测能力,对降水强度的估算精度还存在提升空间。
