摘要
通过对比检验1 km与5 km分辨率的国家级气温格点实况分析产品在重庆地区高温月份的数据质量,为两种产品在业务上的合理应用和高温天气过程中数据改进提供参考依据。结果表明:1 km与5 km气温产品数值均以偏小为主,平均绝对误差分别为0.63℃、1.1℃。站点观测气温偏高时,两种产品的平均值误差均增大,1 km产品在各高温区间的平均误差始终小于5 km产品;随海拔的升高,两种产品的准确率均降低,且均在气温观测值为[20,25]℃区间内准确率最高;在不同海拔高度区间,1 km产品准确率均比5 km的产品准确率要高,5 km产品准确率呈现夜间高于白天的特征。两种实况产品受高温天气及高海拔影响较大,未来可以结合重庆本地复杂的地形特征,选择最优的数据融合方案做本地化改进。
By comparing and testing the data quality of 1 km and 5 km resolution national gridded real-time temperature analysis products in high temperature months in Chongqing,we provide reference for the operational application of the two products and for enhanced data quality in high temperature weather.The results show that the values of both 1 km and 5 km products are relatively small,with the average absolute errors being 0.63℃and 1.1℃,respectively.The increase of the observed temperature at the stations is accompanied with the increase of the average error for both of the two products.Meanwhile the average error of 1 km products in each high temperature range is always less than that of 5 km products.Moreover,with the increase of altitude,the accuracies of the two products decrease,which reach the highest in the temperature observation range of[20,25]℃.Under the different altitude intervals,the accuracy of the gridded real-time products of 1 km is always higher than that of 5 km,and the accuracy of 5 km products is higher at night than that during the day.It can be seen that the two gridded real-time products are greatly affected by high temperature and high altitude.In the future,optimized data fusion scheme can be selected based on the local complex terrain of Chongqing for improved localization measures.
作者
李奇临
旷兰
魏麟骁
朱浩楠
王娜
Li Qilin;Kuang Lan;Wei Linxiao;Zhu Haonan;Wang Na(Chongqing Meteorological Information and Technical Support Center,Chongqing 401147;Qijiang MeteorologicalBureau,Chongqing 401420;Chongqing Climate Center,Chongqing 401147;Yubei Meteorological Bureau,Chongqing 401120)
出处
《气象科技进展》
2022年第6期91-96,共6页
Advances in Meteorological Science and Technology
基金
重庆市气象部门业务技术攻关项目(YWJSGG-202110)。