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:金巍[1,2] 刘卫华 高凌峰 王茜 韩国敬[1] JIN Wei;LIU Wei-hua;GAO Ling-feng;WANG Qian;HAN Guo-jing(Anshan Meteorological Service,Anshan 114000,China;State Key Laboratory of Space Weather,Chinese Academy of Sciences,Beijing 100190,China;Dalian Meteorological Information Center,Dalian 116000,China;Liaoyang Meteorological Service,Liaoyang 111000,China;Meteorological Service Center of Liaoning Province,Shenyang 110166,China)
机构地区:[1]鞍山市气象局,辽宁鞍山114000 [2]中国科学院空间天气学国家重点实验室,北京100190 [3]大连气象信息中心,大连116000 [4]辽阳市气象局,辽宁辽阳111000 [5]辽宁省气象服务中心,辽宁沈阳110166
出 处:《气象与环境学报》2020年第6期50-57,共8页Journal of Meteorology and Environment
基 金:辽宁省气象局的关键技术项目(LNG201901);2019年中国科学院国家空间科学中心空间天气学国家重点实验室开放课题共同资助。
摘 要:利用2016—2018年ECMWF细网格模式12—36 h内2 m温度预报产品,选取辽宁地区65个城镇站点观测资料,评估预报产品在不同季节的预报准确率,并按季节分析固定误差订正方法和最优滑动周期订正方法对提高准确率的作用。结果表明:ECMWF模式预报产品对辽宁地区气温预报的准确率表现为,ECMWF模式最高气温冬季预报最优(城镇站点预报准确率为81.5%),最低气温夏季预报最好(城镇站点预报准确率为84.3%);采用最优滑动周期订正后,2016—2018年辽宁地区的最高气温和最低气温准确率较ECMWF模式自身分别提高了19.7%和20.5%,最低气温的预报准确率提高程度优于最高气温;在整个空间分布中,ECMWF模式对辽宁中部平原地区最高(低)气温预报准确率高于东、西部地区,辽宁东北部和西南部以及东南部的长白山余脉影响区域准确率明显低于其他区域。同时,在各季中,最高气温和夏季最低气温的订正预报能力优于其他季节;在地面晴、雨两种特征下,对辽宁地区24 h气温预报进行订正检验表明,该检验结果对辽宁地区最高(低)气温订正有一定补充作用,尤其是冬季降水出现时,最高气温预报补充订正效果最为显著。Based on the observation data from 65 stations in Liaoning province,the accuracy of the prediction products in different seasons was evaluated using the 2-meter temperature products within 12-36 hours from 2016 to 2018 predicted by the EC(ECMWF)model.The effect of the fixed error correction and optimal sliding period correction methods on improving the accuracy was analyzed.The results show that the accuracy of temperature in Liaoning province predicted by the EC model is as follows:that of the maximum temperature is the best in winter with the accuracy in the urban sites of 81.5%,and that of the minimum temperature is the best in summer with the accuracy in the urban sites of 84.3%.After the adoption of the optimal sliding cycle correction,the accuracy of the maximum and minimum temperature in Liaoning province from 2016 to 2018 is improved 19.7%and 20.5%,respectively,compared with the EC model.The prediction accuracy in the minimum temperature is higher than that in the maximum temperature.In whole spatial distribution,the prediction accuracy of the EC model for the maximum or minimum temperature in the central plain of Liaoning province is higher than that in the east and west parts,especially in the northeast,southwest,and southeast of Liaoning province.The accuracy in the areas affected by Changbai Mountain is significantly lower than that in other regions.At the same time,the correction prediction ability of the maximum and minimum temperature in summer is better than that in other seasons.Under the rainy and sunshine weather conditions,the correction test in temperature forecasted in Liaoning province is carried out.It is concluded that the test results have some supplementary effect on the correction of the maximum and minimum temperature in Liaoning province,especially when precipitation occurs in winter,the supplementary correction effect for the maximum temperature forecast is most significant.
关 键 词:最高(低)气温 误差订正 分季集成 ECMWF模式
分 类 号:P457.3[天文地球—大气科学及气象学]
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:216.73.216.46