首页|省级降水实况分析产品在北京地区的适用性评估

省级降水实况分析产品在北京地区的适用性评估

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利用自动气象站观测数据,采用误差分析、有效降水时次占比等方法评估2022年9月-2023年8月省级降水实况分析产品在北京地区的一致性和准确性,并从累积降水量、降水强度、逐小时降水量误差等方面对"23·7"极端降水过程进行分析.结果表明:省级降水实况分析产品在北京地区的均方根误差不足1 mm,平均绝对偏差低于0.16 mm,与自动气象站观测结果接近.省级降水实况分析产品误差随降水量等级增加而增大,小雨等级降水被高估,中雨及以上等级降水被低估;误差空间分布差异明显,在中雨和暴雨等级下,最大负偏差均出现在延庆区,最大正偏差均出现在昌平区."23·7"极端降水过程中,省级降水实况分析产品的平均均方根误差为1.8 mm,平均绝对偏差为0.806 mm,降水强度与自动气象站观测随时间变化趋势一致,较真实地反映了降水强度的变化趋势.
Applicability Evaluation of Provincial Precipitation Real-time Analysis Product in Beijing
The national precipitation real-time analysis product is a gridded product developed using probability density matching,Bayesian model averaging,multi grid variation,optimal interpolation and other technol-ogies by National Meteorological Information Center.It has advantages of high accuracy,high quality,and spatiotemporal continuity,and is widely used in national nowcasting forecasting operations.In September 2022,National Meteorological Information Center issues a provincial multi-source fusion real-time analysis system to promote the collaborative application of precipitation analysis in different provinces.The same core multi-source fusion algorithms for real-time precipitation analysis products are applied in this system,allowing access to additional provincial local observations.The consistency and accuracy of the provincial precipitation analysis products in Beijing from September 2022 to August 2023 are evaluated by automatic weather station observations,error analysis,effective precipitation time proportion,and other methods."23·7"extreme precipitation event is also analyzed in terms of cumulative precipitation,precipitation in-tensity,and hourly precipitation error.Results show that root mean square error of the provincial precipi-tation analysis product is less than 1 mm,and the average absolute deviation is below 0.16 mm,which closely aligns with observations from automatic weather stations.The bias of provincial precipitation real-time analysis product increases with magnitude of precipitation.The intensity of light rain exceeds the ob-servation,while the spatial distribution difference of bias is evident.The maximum negative deviation oc-curs in both moderate rain and rainstorm magnitudes of Yanqing,while the maximum positive deviation is observed at Changping.During the extreme precipitation event of"23·7",the spatial distribution of pro-vincial precipitation real-time analysis product is largely consistent with observations from automatic weather stations.The precipitation intensity is consistent with the trend of time variation observed by au-tomatic weather stations,with an average root mean square error of 1.8 mm and an average absolute devi-ation of 0.806 mm,which more accurately reflects the trend of precipitation intensity variation.Overall,the provincial precipitation real-time analysis product has high accuracy in Beijing and can reflect the spatial distribution of precipitation,but the estimate is lower than the observation in the precipitation course of local heavy rainstorm.

real-time analysis productskill scoringmulti-source fusionaccuracy evaluation

赵文芳、王蕙莹、孟慧芳、缪宇鹏、黄明明、范敏、唐伟

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北京市气象数据中心,北京 100089

国家气象信息中心,北京 100081

中国气象局气象发展与规划院,北京 100081

实况分析产品 评分技巧 多源融合 准确性检验

中国气象局重点创新团队项目国家自然科学基金青年科学基金国家气象信息中心结余资金项目

CMA2023ZD0142005125NM-ICJY202304

2024

应用气象学报
中国气象科学研究院 国家气象中心 国家卫星气象中心 国家气候中心 国家气象信息中心 中国气象局气象探测中心

应用气象学报

CSTPCD北大核心
影响因子:1.459
ISSN:1001-7313
年,卷(期):2024.35(3)
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