| 四川区域融合降水产品的质量评估 |
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| 引用本文： | 吴薇,杜冰,黄晓龙,李施颖.四川区域融合降水产品的质量评估[J].高原山地气象研究,2019,39(2):76-81. |
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| 作者姓名： | 吴薇 杜冰 黄晓龙 李施颖 |
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| 作者单位： | 1. 四川省气象探测数据中心, 成都 610072; |
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| 基金项目： | 高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金项目(省重实验室2018-重点-10) |
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| 摘 要： | 本文利用四川省156个国家地面气象观测自动站2018年逐小时降水资料,从降水产品与观测值的对比、降水产品误差空间特征、降水产品误差月变化、不同降水量级的误差特征等方面,对国家气象信息中心研制的中国区域1h、0.05° × 0.05°分辨率的地面-卫星-雷达三源融合实时降水产品和地面-卫星二源融合快速降水产品在四川区域的适用性进行对比评估。研究结果表明,两套融合降水产品能较好的反映四川区域年内小时降水的时空变化特征,与站点观测降水相比,两套融合降水产品均存在一定程度的低估,且随着降水量级的增大,均方根误差值也相应增大。两套融合降水产品相比,融合了雷达资料的三源融合降水产品各项指标均优于二源融合降水产品,数据质量更高。
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| 关 键 词： | 小时降水 融合降水产品 质量评估 |
| 收稿时间： | 2019-04-19 |
Quality Assessment of Merged Precipitation Products in Sichuan Region |
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| Affiliation: | 1. Sichuan Provincial Meteorological Obaervation and Data Centre, Chengdu 610072, China;2. Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China |
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| Abstract: | In order to assess the applicability of merged precipitation products in the Sichuan region,the hourly observed precipitation data collected from 156 national automatic weather stations of Sichuan Province,and two sets of merged precipitation products developed by National Meteorological Information Centre are used.The two precipitation products are gauge-satellite-radar combined real-time precipitation product and gauge-satellite combined rapid precipitation product,they are all hourly products with 0.05°resolution.The comparison between precipitation products and observed values,spatial characteristics of precipitation product error,monthly variations of precipitation product error,and error characteristics of different precipitation levels are analyzed.The results show that two sets of merged precipitation products can reflect the temporal and spatial variation characteristics of hourly precipitation better in the Sichuan region during the year.Compared with the rain gauge data,both sets of precipitation products have a certain degree of underestimation,and the root mean square error value increases with the rise of precipitation level.Additionally,the three-source merged precipitation product that combines radar data has higher quality than the two-source merged precipitation product. |
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