Analysis and Correction of Precipitation Observation Error in Henan Province

Author:

Zhang Puning

Abstract

Accurate precipitation data is the basis for studying regional hydrological cycle and climate change, and correcting the precipitation observation error can effectively improve its accuracy. Therefore, based on the daily observation data (including snow and rain types) of 111 meteorological stations in Henan Province from 1960 to 2017, the precipitation observation error correction equation obtained from the precipitation error comparison observation experiment conducted in the Urumqi River Basin of China in the International Cooperation Project on Solid Precipitation Observation carried out by the World Meteorological Organization in 1980 was used to systematically correct the dynamic loss, wetness loss and trace loss of precipitation at 111 meteorological stations from 1960 to 2017. The main conclusions are: (1) The absolute error of each season decreases from south to north, the average absolute error in summer is the largest, 47.30mm, and the winter is the smallest; while the relative error is the opposite, the largest in winter and the smallest in summer. (2) The absolute error of the average annual precipitation in the entire region is above 60mm, gradually increasing from north to south, and the error in most areas is 70-160mm; The relative error varies little from region to region, and the error range is 10%-16%. (3) The average annual rainfall before the correction was 761.92mm, and the average annual rainfall after the correction was 881.1mm, and the corrected value was 119.18mm. There was a decreasing trend in rainfall before and after the correction from 1960 to 2017, but the trend of reduction in the revised rainfall series was greater than that in the measured series.

Publisher

Darcy & Roy Press Co. Ltd.

Reference17 articles.

1. YANG Jun, XU Zhi, LAN Lijun, SUN Dongyuan, WU Lanzhen, LI Xiaoxia,ZHANG Jun,WANG Xingfan. Study on precipitation variation characteristics of typical small watershed on the Loess Plateau [J]. China Soil and Water Conservation, 2022(08):25-28.

2. Michelson D B.Systematic correction of precipition gauge observation using analyzed meteorological variables[J].Journal of Hydrology,2004,290(3):161-177.

3. Larson L W . Precipitation and its Measurement: A State of the Art[J].1971.

4. Rasmussen R , Baker B , Kochendorfer J , et al. How Well Are We Measuring Snow: The NOAA/FAA/NCAR Winter Precipitation Test Bed [J]. Bulletin of the American Meteorological Society, 2012, 93(6):811-829.

5. DU Mingxia,ZHANG Mingjun,WANG Shengjie,CHI Yanjun,CHEN Rong. Analysis and correction of observation error of summer and half year precipitation in Xinjiang[J].Arid Land Geography,2017,40(06):1143-1151.

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