摘要
选取重庆市1969个自动观测站数据,对国家级网格实况分析产品CLDAS与CMPAS中12种要素产品进行评估,采用误差指标和分级评估法,分区域检验实况产品在重庆的适用性。结果表明:CLDAS2.1中小时2 m气温产品的夜间误差小于白天误差,各区域的适用性由高到低排序为渝西、渝中、渝东南、渝东北,平均绝对误差分别为0.73℃、0.74℃、0.81℃、1.05℃。CMPAS小时和日降水产品在渝东南的绝对误差最大,其余三个区域误差相差不大;二源和三源的小时降水产品误差相差不大,夏季误差增大明显,7月达到峰值,日降水产品则三源优于二源。CLDAS小时能见度产品在各区域间误差月变化趋势一致,以低估为主,但在低能见度天气下均为高估。总体而言,国家级CLDAS与CMPAS产品质量较高,均能反映重庆大气要素的变化特征,但应针对不同地区和时段选取适合的产品进行应用。
Based on the 1969 ground observation data of Chongqing and the national grid real-time analysis products,the 12 kinds of factor products of CLDAS and CMPAS were compared and evaluated.The applicability of the real-time products was tested by using er-ror index and hierarchical evaluation method.The results showed that the nighttime error of the 2m temperature hourly product was less than the daytime error,and the applicability of each region was ranked from high to low in west,central,southeast and northeast of Chongqing,with MAE were 0.73℃,0.74℃,0.81℃and 1.05℃,respectively.The absolute error of CMPAS hourly and daily precipitation products in southeastern Chongqing is the largest,and the error in the other three regions is not much different.The error of two-source and three-source hourly precipitation products is not much different,and the cumulative precipitation is that the three-source product is better than two-source products.The error of hourly precipitation porducts increases significantly in summer and reaches its peak in July.The monthly variation trend of CLDAS visibility products is consistent among all regions,with underestimation as the main trend.It is overestimated in low visibility weather,In general,the quality of the national-level CLDAS and CMPAS products is relatively high,and appropriate products should be selected for different regions and time periods.
作者
李奇临
刘昉
廖伟
朱君
赵美艳
盖长松
旷兰
LI Qilin;LIU Fang;LIAO Wei;ZHU Jun;ZHAO Meiyan;GAI Changsong;KUANG Lan(Chongqing Meteorological Information and Technical Support Centre,Chongqing 401147,China;Chongqing Climate Center/China Meteorological Administration Economic Transformation of Climate Resources Key Laboratory,Chongqing 401147,China;Qijiang Meterological Service,Qijiang 401420,China)
出处
《高原山地气象研究》
2023年第1期119-127,共9页
Plateau and Mountain Meteorology Research
基金
重庆市气象部门业务技术攻关项目(YWJSGG-202110)。
