首页|多源数据融合的京津冀地区水汽校正模型研究

多源数据融合的京津冀地区水汽校正模型研究

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高精度高时空分辨率的水汽产品为短时降水预报提供参考.GNSS水汽精度高但空间分辨率低,欧洲中期天气预报中心推出的第五代大气再分析产品(ECMWF atmospheric reanalysis 5,ERA5)与全球大气成分再分析廓线数据(ECMWF atmospheric composition reanalysis 4,EAC4)水汽产品空间分辨率高,但其在区域的精度尚需验证.以京津冀地区为例,综合多源水汽产品构建区域水汽校正模型,获取高时空分辨率水汽产品.首先,以GNSS水汽为基准,开展区域ERA5水汽、EAC4水汽的精度评价;然后,分别构建基于GNSS水汽的区域ERA5、EAC4水汽校正模型,与实测GNSS水汽比较评价模型校正效果;最后,通过区域ERA5和EAC4 PWV校正,获得京津冀地区高精度、高时空分辨率的PWV融合产品.研究表明,ERA5水汽、EAC4水汽与GNSS水汽相关性超过0.8,二者的区域校正模型精度在秋、冬两季为1 mm,春季为2 mm,夏季为5 mm.
Study on Precipitable Water Vapor Correction Model of Beijing-Tianjin-Hebei Region Based on Multisource Data Fusion
Products of high precision and spatiotemporal resolution precipitable water vapor(PWV)can be used as reference for short-term precipitation forecasting.GNSS PWV has high accuracy but low spatial resolution.The spatial resolution of ERA5 PWV and EAC4 PWV are high,but the accuracy of Beijing-Tianjin-Hebei region needs to be verified.Taking the Beijing-Tianjin-Hebei region as an example,conducting research on regional PWV correction models by integrating multi-source PWV products,and obtain high spatiotemporal resolution PWV products.Firstly,based on GNSS PWV,the accuracy evaluation of regional ERA5 PWV and EAC4 PWV is carried out.Then,regional ERA5 and EAC4 PWV correction models based on GNSS PWV are constructed,and the correction effect of the models are evaluated by comparing them with the measured GNSS PWV.Finally,high-precision and high spatiotemporal resolution PWV fusion products in Beijing-Tianjin-Hebei region are obtained through regional ERA5 and EAC4 PWV correction.It is shown that the correlation between ERA5 PWV,EAC4 PWV,and GNSS PWV exceeds 0.8.The accuracy of regional correction model is 1 mm in autumn and winter,2 mm in spring,and 5 mm in summer.

GNSSERA5EAC4PWV fusionBeijing-Tianjin-Hebei regionPWV correction

刘严萍、冯文力、刘宇博、王勇、凤鸣轩

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天津城建大学经济与管理学院,天津 300384

天津城建大学地质与测绘学院,天津 300384

GNSS ERA5 EAC4 水汽融合 京津冀地区 水汽校正

天津市科技计划项目国家级大学生创新创业项目

21KPHDRC00070202310792005

2024

遥感信息
科学技术部国家遥感中心,中国测绘科学研究院

遥感信息

CSTPCD北大核心
影响因子:0.712
ISSN:1000-3177
年,卷(期):2024.39(3)
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