检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:唐佳佳 潘臻 唐晓文 张优君 万夫敬 TANG Jiajia;PAN Zhen;TANG Xiaowen;ZHANG Youjun;WAN Fujing(Chengdu University of Information Technology,Chengdu 610225;Multi-Hazard Early Warning Key Laboratory of Sichuan Province,Chengdu 610041;Qingdao Meteorology Administration,Qingdao 266700)
机构地区:[1]成都信息工程大学,成都610225 [2]地震预警与多灾种预警应用信息技术四川省重点实验室,成都610041 [3]山东省青岛市气象局,青岛266700
出 处:《气象科技》2024年第5期619-629,共11页Meteorological Science and Technology
基 金:地震预警与多灾种预警应用信息技术四川省重点实验室开放课题(2022KFKT001)资助。
摘 要:本文利用2020年5—9月山东省青岛市S波段天气雷达和地面雨量站数据,开展了基于最优插值的天气雷达定量降水估测订正方法的优化研究。根据青岛地区地面雨量站的空间分布,确定了用于订正格点估测降水的雨量站的搜索范围。通过分析用于订正的雨量站个数与分析误差的关系,确定了参与订正的最佳雨量站数量。采用随机抽样和交叉检验的方法,分析了不同相关函数模型对降水订正结果的影响,最终得到适合青岛地区的相关函数优化参数。进一步检验优化参数的订正结果发现,订正后估测降水的统计评分有明显的提升,估测降水的强度和空间分布与实况更加一致。The optimal interpolation method is widely used in meteorological applications worldwide.However,due to the different precipitation climate characteristics and the spatial distribution of gauges,the implementation of the optimal interpolation method involves many empirical models and key parameters.There is still some uncertainty on how to derive a set of optimised parameters for the application of the optimal interpolation method in a local region.This study analyses and optimises the key parameters of the optimal interpolation method for the calibration of weather radar quantitative precipitation estimation using radar and gauge observations from May to September 2020 in Qingdao,Shandong.The search radius of gauges from a grid point is determined by analysing the spatial distribution of all gauges relative to the analysis point.The optimal number of gauges used to calibrate the precipitation estimation of a grid point is determined by analysing the change of relative analysis error with respect to the number of gauges.Eight groups of sensitivity experiments with different correlation functions are compared by random sampling and cross-validation to find the best set of parameters for the Qingdao radar.The verification of calibration results produced by the best parameters shows that the calibration significantly improves the accuracy of the quantitative precipitation estimation.The median values of M_(AE),R_(MAE),and B IAS are 1.5 mm,1.0,and 0.03 mm respectively,and the C_(ORR) is higher than 0.9.Comparing the quantitative precipitation estimation at different levels of precipitation before and after calibration produced by the best parameters shows that the M_(AE) and R_(MAE) of light rain are reduced by 90%,and the C_(ORR) is about 0.87.The M_(AE) and R_(MAE) in moderate to heavy rain are decreased by 89%,and the C_(ORR) is higher than 0.9.The M_(AE) and R_(MAE) of rainstorm are decreased by more than 83.9%,and the C_(ORR) is about 0.77.Based on the verification of a widespread rainfall case on 26 August 2020
分 类 号:P412[天文地球—大气科学及气象学] P426.6
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7