LONG Keji,WANG Hao,GUO Xu,et al.Validation and Assessment of 10 mins Merged Precipitation Product in China[J].Journal of Chengdu University of Information Technology,2023,38(01):57-63.[doi:10.16836/j.cnki.jcuit.2023.01.009]
夏季中国区域逐10分钟降水融合产品检验评估
- Title:
- Validation and Assessment of 10 mins Merged Precipitation Product in China
- 文章编号:
- 2096-1618(2023)01-0057-07
- Keywords:
- atmospheric physics; validation and assessment; minute precipitation; merged product; interpolation
- 分类号:
- P426.6
- 文献标志码:
- A
- 摘要:
- 为检验逐10分钟降水融合产品质量,以中国地面观测分钟降水数据作为“真值”,采用多种评估指标,对2018年7月国家气象信息中心中国区域5 km逐10分钟降水融合产品进行检验评估。结果表明:邻近插值法和双线性插值法对月评估和日评估结果的总体影响不大,邻近插值法的评分略优。0.1 mm量级降水的TS评分在0.6左右,偏差都偏大,其余量级则偏小,且随着量级的增加,误差逐渐增大,融合产品的极值普遍较实况偏小。强降水过程中,融合产品的落区和变化趋势与实况一致,总体以偏强为主,但5 mm以上的强降水区域存在偏弱的情况。总体而言,逐10分钟降水融合产品能结合雷达估测降水产品和实况的优势,覆盖范围广,强度与实况相当。
- Abstract:
- In order to validate the quality of 10 mins merged precipitation product, taking the national ground observation minute precipitation data as "True Value", a variety of assessment indicators were used to assess and validate the National Meteorological Information Center 5 km 10mins merged precipitation product in China in July 2018.The results show that the neighbor interpolation method and bilinear interpolation method have little effect on the monthly and daily assessment results, and the score of neighbor interpolation method is slightly better. The TS score of0.1 mm magnitude precipitation is about 0.6, the deviation is too big, the others are too small, and the error increases gradually with the increase of magnitude, the extreme value of merged products is generally small. In the heavy rainfall process, the falling area and change trend of merged product are consistent with the actual situation, generally, it is mainly strong, but the heavy rainfall area above 5 mm is weak. In general, the 10 mins merged precipitation product can combine the advantages of radar estimation precipitation products and actual situation, and has a wide coverage and equivalent intensity to the actual situation.
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备注/Memo
收稿日期:2022-01-07
基金项目:中国气象局大气探测重点开放实验室资助项目(2021KLAS02M、2022KLAS01Z); 四川省科技厅重点研发计划资助项目(22ZDYF1935); 高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金资助项目(SCQXKJYJXZD202201; SCQXKJZD202101; SCQXKJYJXM S202117); 中国气象局创新发展专项资助项目(CXFZ2021Z07); 四川省自然科学基金重点资助项目(2022NSFC0021)