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降水是洪水预报重要的输入因子,是保证洪水预报精度的前提条件。提出一种从站点、子流域以及全流域3种空间尺度上评价水情遥测降水数据精度的方法。采用该方法,以国家气象信息中心公开发布的日降水数据为基准,针对覆盖宜昌-宜宾425 000 km2的377个遥测雨量站降雨数据进行精度评价。在日、月时间尺度上,综合评价了中国长江三峡集团所属的遥测雨量数据精度特征。结果表明,其遥测雨量数据与国家气象信息中心公开发布的日降水数据,具有较高的相关度,相关指标R2到达0.81。部分数据受到地形以及站点位置差异等因素的影响,存在一定差异。这些差异为雨量站的调整和补充提供重要依据。为验证其他遥测站网的降水数据精度提供了范例,利用该方法,可对运行多年的遥测雨量站网进行评价,也可开展多源降水融合相关工作,提高地面遥测降水数据的代表性和准确性。
Precipitation is an important input factor for flood forecasting and is a prerequisite for ensuring flood forecasting accuracy. This paper presents a method to evaluate the accuracy of hydrological telemetry precipitation data from three spatial scales of stations, sub-basins and whole basin. Based on the daily precipitation data published publicly by the National Meteorological Information Center, the accuracy of rainfall data from 377 telemetry rainfall stations covering Yichang-Yibin 425,000 km2 was evaluated by this method. On the time scale of Japan and China, the accuracy characteristics of telemetering rainfall data belonging to China Three Gorges Corporation are comprehensively evaluated. The results show that the correlation between the telemetry rainfall data and the daily precipitation data released by the National Meteorological Information Center has a high correlation with R2 of 0.81. Some data are affected by the terrain and site location differences and other factors, there are some differences. These differences provide an important basis for the adjustment and supplement of rainfall stations. This paper provides an example for verifying the accuracy of precipitation data of other telemetry stations. By using this method, it is possible to evaluate telemetry rainfall stations that have been in operation for many years, to carry out multi-source precipitation fusion and to improve the representativeness and accuracy of precipitation data from terrestrial telemetry Sex.