地球物理学进展2024,Vol.39Issue(4) :1304-1314.DOI:10.6038/pg2024HH0265

基于DPR数据的AMSR2降水产品的夏季降水检验评估

Summer precipitation verification and evaluation of AMSR2 precipitation product based on DPR data

黄洋 鲍艳松 刘辉 李婧 陆其峰 王富 张恒
地球物理学进展2024,Vol.39Issue(4) :1304-1314.DOI:10.6038/pg2024HH0265

基于DPR数据的AMSR2降水产品的夏季降水检验评估

Summer precipitation verification and evaluation of AMSR2 precipitation product based on DPR data

黄洋 1鲍艳松 1刘辉 2李婧 3陆其峰 4王富 4张恒5
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作者信息

  • 1. 南京信息工程大学气象灾害预报预警与评估协同创新中心/中国气象局气溶胶与云降水重点开放实验室/大气物理学院,南京 210044
  • 2. 国家卫星气象中心,北京 100081
  • 3. 61741 部队,北京 100094
  • 4. 中国气象局地球系统数值预报中心,北京 100081
  • 5. 上海卫星工程研究所,上海 200240
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摘要

卫星准确的降水数据对实时的降水监测和天气预报非常重要,本文以中国大陆及其周边海域为研究区域,以 DPR(Dual-frequency Precipitation Radar)降水产品为参考值,采用分类统计指标以及精度评价指标对 2022 年 7 月~9 月的 AMSR2(Advanced Microwave Scanning Radiometer 2)降水产品进行检验评估.结果表明,AMSR2降水产品在海洋上的观测效果最好,观测降水命中率为0.659,ETS评分为0.546,且与DPR的相关系数为0.679,RMSE为4.598 mm/h;在陆地上的观测效果次之,观测降水空报率较大,等于0.277,ETS评分为0.357,且与DPR的相关系数为0.325,RMSE为2.793 mm/h;而在海岸上的观测效果相对较差,观测降水命中率较低,等于0.361,ETS评分为0.307,且与DPR的相关系数为0.329,RMSE为4.527 mm/h.同时随着雨量等级的增大,AMSR2降水产品对降水量的估计误差也越来越大,且在小雨等级,容易高估降水量,在中雨等级,在海岸容易低估降水量,而在海洋和陆地容易高估降水量,在大雨和暴雨等级,容易低估降水量,且低估程度随雨量等级的增大而增大.

Abstract

Accurate precipitation data of satellite is very important for real-time precipitation monitoring and weather forecasting.This paper takes the Chinese mainland and its surrounding sea areas as the research area,and takes the DPR(Dual-frequency Precipitation Radar)precipitation data as the reference value to verify and evaluate the AMSR2(Advanced Microwave Scanning Radiometer 2)precipitation product from July to September 2022 by using classification statistical indicators and accuracy evaluation indicators.The results show that the AMSR2 precipitation product has the best observation effect over the ocean,with the probability of detection of 0.659 and ETS score of 0.546,and the correlation coefficient with DPR is 0.679,RMSE is 4.598 mm/h;The observation effect over the land is second,with the false alarm ratio of 0.277 and ETS score of 0.357,and the correlation coefficient with DPR is 0.325,RMSE is 2.793 mm/h;The observation effect over the coast is relatively poor,with the low probability of detection of 0.361 and ETS score of 0.307,and the correlation coefficient with DPR is 0.329,RMSE is 4.527 mm/h.At the same time,as the rainfall level increases,the estimation error of AMSR2 precipitation product for precipitation is also increasing.It is easy to overestimate precipitation in light rainfall level,and in moderate rainfall level it is easy to underestimate precipitation over the coast,to overestimate precipitation over the sea and land,while in heavy rainfall and heavy rainstorm level it is easy to underestimate precipitation,and the degree of underestimation increases with the increase of rainfall level.

关键词

DPR/AMSR2/降水/精度评估

Key words

DPR/AMSR2/Precipitation/Accuracy evaluation

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基金项目

国家自然科学基金项目(U2242212)

国家自然科学基金项目(41975046)

江苏省水利科技项目(2023022)

上海航天科技创新基金(SAST2021-032)

出版年

2024
地球物理学进展
中国科学院地质与地球物理研究所 中国地球物理学会

地球物理学进展

CSTPCDCSCD北大核心
影响因子:1.761
ISSN:1004-2903
参考文献量29
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