| 多源融合格点实况数据在四川高温过程的适用性分析 |
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| 引用本文： | 丛芳,王佳津,龙柯吉,黄晓龙.多源融合格点实况数据在四川高温过程的适用性分析[J].高原山地气象研究,2020,40(4):65-69. |
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| 作者姓名： | 丛芳 王佳津 龙柯吉 黄晓龙 |
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| 作者单位： | 四川省气象台,成都610072;中国气象局成都高原气象研究所/高原与盆地暴雨旱涝灾害四川省重点实验室,成都610072;四川省气象探测数据中心,成都610072 |
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| 基金项目： | 西南区域多源融合实况产品研究创新团队(西南气中[2018]13号)；高原与盆地暴雨旱涝灾害四川省重点实验室重点专项(SCQXKJZD2020002)；气象预报业务关键技术发展专项(YBGJXM[2020]1A-08)；高原与盆地暴雨旱涝灾害四川省重点实验室青年课题(SCQXKJQN2020035)；中国气象局创新发展专项(CXFZ2021Z07) |
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| 摘 要： | 利用1km和5km多源融合格点实况数据和四川地面观测站点资料，采用预报准确率、平均绝对误差、均方根误差和Alpha Index(AI)等统计量，选取2020年夏季四川2次高温天气过程对多源融合格点实况数据的质量进行了检验评估。研究结果表明:多源融合格点实况数据利用邻近插值方法插值到站点优于双线性插值；误差大值区主要位于高海拔地区，如川西高原、攀西地区及盆地山周；AI指数接近于0，多源融合格点实况数据没有随机误差，较为接近理想值；1km分辨率融合格点实况数据在四川的适用性优于5km，误差≤2℃的准确率可达98%，且均方根误差< 1。
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| 关 键 词： | 格点实况 高温 检验 |
| 收稿时间： | 2020-10-12 |
Analysis of Applicability of Multi-Source Melting Qualification Point Data in Sichuan High Temperature Process |
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| Institution: | 1. Sichuan Meteorological Observatory, Chengdu 610072, China;2. Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China;3. Sichuan Exploration Data Center, Chengdu 610072, China |
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| Abstract: | Based on the 1km and 5km multi-source melting qualification point data and ground observation station data in Sichuan,the prediction accuracy,average absolute error,root mean square error and Alpha Index (AI) statistics were adopted,the quality of the actual data of the multi-source melting qualification points was evaluated by selecting two high temperature weather processes in Sichuan in the summer of 2020. The results show that the adjacent interpolation method is better than bilinear interpolation for multi-source fusion qualified point data. The large error areas are mainly located in the high-altitude areas,such as the western Sichuan Plateau,the Panxi area and the mountain week of the basin. AI index is close to 0,and the actual data of the qualified point of multi-source melting has no random error and is closer to the ideal value. The applicability of the 1km resolution melting qualified point data in Sichuan is better than 5km,the accuracy of error ≤2℃ can reach 98%,and the root mean square error is less than 1. |
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