Application of gauge-radar-satellite data in surface precipitation quality control

IF 1.9 4区地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES

Meteorology and Atmospheric Physics Pub Date : 2024-08-27 DOI:10.1007/s00703-024-01028-w

Shiying Li, Xiaolong Huang, Bing Du, Wei Wu, Yuhe Jiang

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引用次数: 0

Abstract

Precipitation observation data from different departments are highly complementary in the application, but there are some differences in observation equipment, data sampling methods, accuracy, and data transmission methods. To better apply the precipitation data of different departments in meteorological services, it is necessary to carry out a quality control method. In this study, rain gauge precipitation data, radar data, and satellite data from the China Meteorological Administration are used to perform collaborative quality control of precipitation data from the Ministry of Water Resources of the People’s Republic of China. The threshold value, spatial consistency, and temporal consistency are verified using meteorological station precipitation data, and the relationship thresholds between satellite and radar products and hourly precipitation are summarized and verified for consistency. Subsequently, collaborative quality control results are derived using a comprehensive scoring method. Testing this quality control method suggests that the method will not classify too many correct data as mistakes and the detection rate of incorrect data can be more than 0.7. Following quality control, the hourly precipitation error for hydrological station data fell dramatically, the False Alarm Rate decreased by 19%, and the anomalous maxima were successfully eliminated. Therefore, this collaborative quality control method can compensate for the deficiencies of a single quality-control source, thus allowing precipitation data not from the meteorological industry to be screened effectively.

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测量仪-雷达-卫星数据在地面降水质量控制中的应用

不同部门的降水观测数据在应用中具有很强的互补性，但在观测设备、数据采样方法、精度、数据传输方法等方面存在一定的差异。为了更好地将不同部门的降水数据应用于气象服务中，有必要进行质量控制方法。本研究利用中国气象局的雨量计降水数据、雷达数据和卫星数据，对中华人民共和国水利部的降水数据进行协同质量控制。利用气象站降水数据验证了阈值、空间一致性和时间一致性，并总结和验证了卫星和雷达产品与小时降水量之间的关系阈值的一致性。随后，利用综合评分法得出了协同质量控制结果。对该质量控制方法的测试表明，该方法不会将太多正确数据归类为错误数据，错误数据的检出率可达 0.7 以上。经过质量控制，水文站数据的小时降水量误差大幅下降，误报率降低了 19%，并成功消除了异常最大值。因此，这种协同质量控制方法可以弥补单一质量控制源的不足，从而使非气象行业的降水数据得到有效筛选。

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来源期刊

Meteorology and Atmospheric Physics 地学-气象与大气科学

CiteScore

4.00

自引率

5.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Meteorology and Atmospheric Physics accepts original research papers for publication following the recommendations of a review panel. The emphasis lies with the following topic areas: - atmospheric dynamics and general circulation; - synoptic meteorology; - weather systems in specific regions, such as the tropics, the polar caps, the oceans; - atmospheric energetics; - numerical modeling and forecasting; - physical and chemical processes in the atmosphere, including radiation, optical effects, electricity, and atmospheric turbulence and transport processes; - mathematical and statistical techniques applied to meteorological data sets Meteorology and Atmospheric Physics discusses physical and chemical processes - in both clear and cloudy atmospheres - including radiation, optical and electrical effects, precipitation and cloud microphysics.