中国长期(1961-2020 年)日降水量的偏差调整

IF 2.9 3区 地球科学 Q2 ASTRONOMY & ASTROPHYSICS Earth and Space Science Pub Date : 2024-07-27 DOI:10.1029/2024EA003622
Yanni Zhao, Rensheng Chen, Zhiwei Yang, Yiwen Liu, Linlin Zhao, Yong Yang, Lei Wang
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摘要

降水测量仪的观测误差导致降水数据集的精度降低。为了减少这些误差的影响,世界气象组织固体降水比对实验推荐将双栅栏比对参考作为降水测量的参考标准。这项研究提出了一种新的雨、雪和混合降水量调整方法,以双栅河比对参照系统测量的降水量为标准值,用于国家标准降水量测量。该方法用于调整中国 785 个站点从 1961 年至 2020 年收集的降水数据的系统误差,包括风致误差、润湿损失和微量降水。经过偏差调整后,年降水量增加了 6.1-177.9 毫米(平均 52.7 毫米),占总降水量的 3.3%-52.1%(8.9%)。风引起的误差、湿润损失和微量降水的年平均误差调整量分别为 21.9 毫米(占总降水量的 3.6%)、26.6 毫米(4.7%)和 4.2 毫米(1.3%)。冬季的调整率高于夏季,调整率高的地区主要位于干旱、降雪比例高和风速大的地区。此外,降雨、降雪和混合降水的年平均误差调整量分别占其相应总量的 5.2%、38.2% 和 17.1%,表明偏差调整,尤其是降雪和混合降水的偏差调整在北方和青藏高原地区具有重要意义。因此,有必要进行偏差调整,以提高中国降水数据集的精度。
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Bias Adjustment of Long-Term (1961–2020) Daily Precipitation for China

The observation errors in precipitation gauges contribute to diminished precision in precipitation data sets. To reduce the impact of these errors, the World Meteorological Organization Solid Precipitation Intercomparison Experiments recommended the Double Fence Intercomparison Reference as a reference standard for precipitation measurements. This study proposed a new rain, snow, and mixed precipitation adjustment method for national standard precipitation gauges, using DFIR-measured precipitation as the standard values. This method was used to adjust for systematic errors, including wind-induced errors, wetting loss, and trace precipitation, in precipitation data collected by 785 stations in China from 1961 to 2020. After bias adjustment, the annual precipitation increased by 6.1–177.9 mm (with an average of 52.7 mm), accounting for 3.3%–52.1% (8.9%) of the total precipitation. The average annual error-adjustment amounts for wind-induced error, wetting loss, and trace precipitation were 21.9 (3.6% of total precipitation), 26.6 (4.7%), and 4.2 mm (1.3%), respectively. The adjustment percentage in winter was higher than that in summer, with the high-adjusted-percentage regions predominantly located in areas with drought, high proportion of snowfall, and strong wind speeds. Additionally, the annual average error-adjustment amounts for rain, snow, and mixed precipitation respectively accounted for 5.2%, 38.2%, and 17.1% of their corresponding total amounts, indicating the significance of bias adjustment, particularly for snow and mixed precipitation, in the northern and Qinghai-Tibet Plateau regions. Therefore, bias adjustment is necessary to enhance the accuracy of the precipitation data set in China.

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来源期刊
Earth and Space Science
Earth and Space Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
5.50
自引率
3.20%
发文量
285
审稿时长
19 weeks
期刊介绍: Marking AGU’s second new open access journal in the last 12 months, Earth and Space Science is the only journal that reflects the expansive range of science represented by AGU’s 62,000 members, including all of the Earth, planetary, and space sciences, and related fields in environmental science, geoengineering, space engineering, and biogeochemistry.
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