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Improving the accuracy of precipitation estimates in a typical inland arid area of China using a dynamic Bayesian model averaging approach

XU Wenjie DING Jianli BAO Qingling WANG Jinjie XU Kun

干旱区科学2024，Vol.16Issue(3)：331-354,24.

干旱区科学2024，Vol.16Issue(3)：331-354,24.DOI:10.1007/s40333-024-0054-7

Improving the accuracy of precipitation estimates in a typical inland arid area of China using a dynamic Bayesian model averaging approach

XU Wenjie ¹DING Jianli ¹BAO Qingling ¹WANG Jinjie ¹XU Kun¹

作者信息

1. College of Geography and Remote Sensing Sciences,Xinjiang University,Urumqi 830017,China||Key Laboratory of Smart City and Environment Modelling of Higher Education Institute,Xinjiang University,Urumqi 830017,China
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摘要

关键词

precipitation estimates/satellite-based and reanalysis precipitation/dynamic Bayesian model averaging/streamflow simulation/Ebinur Lake Basin/Xinjiang

Key words

precipitation estimates/satellite-based and reanalysis precipitation/dynamic Bayesian model averaging/streamflow simulation/Ebinur Lake Basin/Xinjiang

引用本文复制引用

XU Wenjie,DING Jianli,BAO Qingling,WANG Jinjie,XU Kun..Improving the accuracy of precipitation estimates in a typical inland arid area of China using a dynamic Bayesian model averaging approach[J].干旱区科学,2024,16(3):331-354,24.

基金项目

This work was financially supported by The Technology Innovation Team(Tianshan Innovation Team),Innovative Team for Efficient Utilization of Water Resources in Arid Regions(2022TSYCTD0001),the National Natural Science Foundation of China(42171269),and the Xinjiang Academician Workstation Cooperative Research Project(2020.B-001). （Tianshan Innovation Team）

干旱区科学

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ISSN：1674-6767

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