气象学报2024，Vol.82Issue(2)：236-246,11.DOI:10.11676/qxxb2024.20230115
星载雷达降水反演算法敏感性分析
Spaceborne radar-based precipitation retrieval:Sensitivity analysis
摘要
Abstract
The accuracy of the FY-3G PMR prototype algorithm is evaluated using the data of GPM KuPR.Based on the result,the sensitivity of precipitation rate retrieval to initial relation of R-Dm,phase,and the correction factor paramNUBF for NUBF is analyzed.Firstly,the R-Dm relation of stratiform and convection are adjusted and the DSD profiles,radar reflectivity factor profiles,and precipitation rate profiles are compared.Secondly,sensitivity experiments are conducted to analyze the impact of phase misjudgment on the accuracy of precipitation rate retrieval.Finally,the sensitivity of paramNUBF to precipitation rate retrieval is evaluated by setting different paramNUBF.The results indicate that the FY-3G PMR prototype algorithm is well consistent with GPM KuPR in the retrieval of precipitation structure and intensity distribution,and the relative error is less than 10%while the correlation coefficient is greater than 0.95.The retrievals of radar reflectivity factor profiles and precipitation rate profiles are not sensitive to R-Dm,but the retrieved DSD profiles are relatively more sensitive to R-Dm.Misjudgment of phase in the bright band layer,especially between mixed phase state and solid or between mixed phase state and liquid state,affects precipitation rate retrieval near the 0 degree layer but has little impact on ground precipitation rate retrieval.ParamNUBF is a highly sensitive factor,and the greater the difference from the true value,the greater the error of the precipitation rate profile.The sensitivity analysis on spaceborne radar precipitation rate retrieval algorithms can not only deepen our understanding of precipitation rate retrieval theories and methods and improve the accuracy of precipitation rate retrieval,but also provide design ideas for the upcoming field experiments of FY-3G PMR.关键词
GPM/FY-3G PMR/降水反演/相态/NUBF/敏感性分析Key words
GPM/FY-3G PMR/Precipitation rate retrieval/Phase/NUBF/Sensitivity analysis分类
天文与地球科学引用本文复制引用
吴琼,尹红刚,陈林,商建,谷松岩,卢乃锰..星载雷达降水反演算法敏感性分析[J].气象学报,2024,82(2):236-246,11.基金项目
国家重点研发计划(2022YFB3902603)、国家自然科学基金(41905063、42005109)、中国气象局青年创新团队项目(CMA2023QN12). （2022YFB3902603）
