气象科学2024，Vol.44Issue(6)：1111-1121,11.DOI:10.12306/2022jms.0097
基于FY-4A和GPM的定量降水估测
Quantitative precipitation estimation based on FY-4A and GPM
摘要
Abstract
By using the near-surface precipitation intensity data of the Global Precipitation Measurement Satellite(GPM)and the multi-channel infrared brightness temperature data of new generation of geostationary meteorological satellite-Fengyun-4A(FY-4A)of China,a satellite quantitative model based on random forest algorithm was developed.Precipitation Estimation Program(RF-QPE),which estimated precipitation for a 3-month period in summer 2021 and compared the results with the FY-4A precipitation estimation product.Results show that:(1)the hit rate(POD)of the estimated precipitation area can reach 0.642,which is 365.2％higher than the POD of the FY-4A precipitation estimation product;the Root Mean Square Error(RMSE)of the estimated precipitation intensity is 1.792 mm·h-1,which is about 36.2％lower than the RMSE of FY-4A precipitation estimation product;(2)the estimated RMSE of light rain and moderate rain are 1.060 and 3.780 mm·h-1 respectively,while the RMSE of FY-4A precipitation estimation product for light rain and moderate rain is 1.730 and 5.558 mm·h-1,respectively;compared with the FY-4A precipitation estimation product,it can better estimate the intensity of light rain and moderate rain,but it is not ideal for estimating the intensity of heavy rain and torrential rain.关键词
风云四号卫星/随机森林/定量降水估测/对比检验Key words
FY-4A satellite/random forest/quantitative precipitation estimation/contrast test分类
天文与地球科学引用本文复制引用
晏良锐,李琦,周毓荃..基于FY-4A和GPM的定量降水估测[J].气象科学,2024,44(6):1111-1121,11.基金项目
国家重点研究发展计划资助项目(2016YFA0601701) （2016YFA0601701）
中国气象局创新发展专项资助项目(CXFZ2024J033) （CXFZ2024J033）
