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两种高分辨率气温实况融合产品在四川省的质量评估
引用本文:蒋雨荷,黄晓龙,杜冰.两种高分辨率气温实况融合产品在四川省的质量评估[J].高原山地气象研究,2022,42(1):109-116.
作者姓名:蒋雨荷  黄晓龙  杜冰
作者单位:1.高原与盆地暴雨旱涝灾害四川省重点实验室, 成都 610072
基金项目:气象预报业务关键技术发展专项(YBGJXM(2020)1A-08);四川省气象青年课题(SCQXKJQN2020035);中国气象局创新发展专项(CXFZ2021Z007)
摘    要:选取四川省156个国家级考核站、1282个区域考核站及1411个区域非考核站2019年8月1日~2020年7月31日的气温数据,利用相关系数、平均值误差、均方根误差等指标,评估了CLDAS(5 km×5 km)和HRCLDAS(1 km×1 km)两套气温实况融合产品在四川省的适用性。结果表明:两套融合产品的相关性都很好,相对而言,午后的误差值较其余时刻偏大且代表性偏差,冬季的评估效果较差且为负平均值误差的低估值。地形与海拔对融合产品的影响较大,在地势起伏大的高海拔区域,误差值明显增大。两套融合产品在盆地中部评估效果最优,多呈现正平均值误差的高估值;盆地北部、西南部以及盆地-三州过渡带次之,呈现较小的负平均值误差的低估值;三州和攀枝花地区最差,为较大的负平均值误差的低估值。在评估效果较差的冬季与地形复杂的区域,1 km融合产品的评估效果明显优于5 km融合产品。 

关 键 词:2m气温    实况融合产品    对比评估
收稿时间:2021-07-01

Quality Evaluation of Two High-resolution Temperature Live Fusion Products in Sichuan Province
Affiliation:1.Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China2.Sichuan Meteorological Observation and Data Centre, Chengdu 610072, China
Abstract:Using the temperature data of 156 national assessment stations, 1282 regional assessment stations and 1411 regional non-assessment stations in Sichuan Province from August 1, 2019 to July 31, 2020, with the correlation coefficient, average error, root mean square error and other indicators, the applicability of the two sets of fusion products of CLDAS (5km×5km) and HRCLDAS (1km×1km) in Sichuan Province was evaluated. The results show that the two sets of fusion products had good correlation and had certain characteristics of daily and seasonal variation. The error value of fusion products in the afternoon was slightly larger than that in the rest of the time, and the representativeness was poor. The evaluation effect in winter was poor, and it was the underestimated value of negative average error. The terrain and altitude had a greater impact on fusion products. In areas with high altitude and large topographic fluctuation, the error value increased significantly. The evaluation effect in the middle of the basin was the best, with positive average errors. The north and southwest of the Basin and the Basin-Sanzhou transition zone were the second, showing a small underestimation of the negative average error. The evaluation effects in Sanzhou and Panzhihua were the worst, which were the underestimated value of large negative average error. The evaluation effects of 1km fusion products were significantly better than that of 5km fusion products in winter and in the areas with complex terrain. 
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