###
DOI:
本文二维码信息
IMERG和TMPA降水产品在夏季中国中东部的检验
陈凤娇1, 李迎新2, 高金兰3, 王云1, 朱华亮1
(1.安徽省气象信息中心;2.中国环境科学研究院;3.安徽省人工影响天气办公室)
Evaluation of IMERG and TMPA Precipitation Datasets over Summer Mid-Eastern China
CHEN FengJiao1, LI Yingxin2, GAO Jinlan3, WANG Yun1, Zhu Hualiang1
(1.Anhui Meteorological Information Centre;2.Chinese Research Academy of Environmental Sciences;3.Anhui Weather Modification Office)
摘要
相似文献
本文已被:浏览 6次   下载 2
投稿时间:2018-07-07    修订日期:2019-10-08
中文摘要: 基于500个国家站雨量计的观测,从时空分布、不同地形条件、不同等级的降水强度及日变化角度,对比评估了2014~2016年夏季多星集成降水产品TMPA和IMERG在中国中东部地区的适用性。研究结果表明,与雨量计相比,TMPA和IMERG能较好地反映2014~2016年夏季中国中东部地区逐日降水量的变化规律,且IMERG的平均误差更小。IMERG降水产品的日平均降水量与雨量计的相关性更高,相关系数超过0.9,而TMPA仅为~0.8。在中国中东部的平原和山区,IMERG对弱降水(<4 mm/d)强度和弱降水频次的表征能力,较TMPA有明显的改善;但IMERG对山区的强降水频次的探测较TMPA改进有限。从日变化来看,TMPA明显低估早晨的降水强度和降水频次,且高估了午后的降水强度和降水频次。IMERG作为高时空分辨率的准全球降水资料,在中国中东部地区有较高的精度,未来可应用于气象和水文模式中。
中文关键词: 降水,IMERG,TMPA,日变化
Abstract:Based on the observations from 500 quality-controlled rain gauges, the applicability of the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) and Integrated Multi-satellite Retrievals for Global Precipitation Measurement (GPM) mission (IMERG) products to the precipitation in mid-eastern China is analyzed during summer for the period 2014–2016, considering the temporal-spatial patterns, regional factors, rainfall intensities, and diurnal cycles. Statistical analysis shows TMPA and IMERG shows the similar daily variations of rain amount compared to gauge observations, and the mean errors are much smaller for IMERG. IMERG exhibits much stronger linear correlations (>0.9) with rain gauge observations than TMPA (~0.8) at the daily scale. IMERG exhibits superior skill in estimating light rainfall and detecting light precipitation events (< 4 mm/d), compared with TMPA, over both plain and mountainous regions. However, no clear improvement is found in detecting heavy rainfall events over mountainous regions. For precipitation diurnal cycles, TMPA underestimates the early morning rain rate and rain frequency and overestimates those in the late-afternoon. As a high temporal-spatial precipitation dataset, IMERG is validated as a reliable source of precipitation estimates over mid-eastern China for future studies on meteorologic and hydrological models.
文章编号:201807070302     中图分类号:    文献标志码:
基金项目:安徽省自然科学基金项目(1808085MD99)和国家自然科学基金项目(41805023)资助
引用文本:
陈凤娇,李迎新,高金兰,王云,朱华亮,0.[en_title][J].Meteor Mon,():-.
CHEN FengJiao,LI Yingxin,GAO Jinlan,WANG Yun,Zhu Hualiang,0.Evaluation of IMERG and TMPA Precipitation Datasets over Summer Mid-Eastern China[J].Meteor Mon,():-.