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Ensemble-based diurnally varying background error covariances and their impact on short-term weather forecasting

Shiwei Zheng Yaodeng Chen Xiang-Yu Huang Min Chen Xianya Chen Jing Huang

大气和海洋科学快报:英文版2022，Vol.15Issue(6)：P.22-28,7.

大气和海洋科学快报:英文版2022，Vol.15Issue(6)：P.22-28,7.DOI:10.1016/j.aosl.2022.100225

Ensemble-based diurnally varying background error covariances and their impact on short-term weather forecasting

Shiwei Zheng ¹Yaodeng Chen ¹Xiang-Yu Huang ²Min Chen ²Xianya Chen ¹Jing Huang¹

作者信息

1. Key Laboratory of Meteorological Disaster of Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing,China
2. Institute of Urban Meteorology,China Meteorological Administration,Beijing,China
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摘要

关键词

Data assimilation/Background error covariance/Diurnal variation/Ensemble method

分类

天文与地球科学

引用本文复制引用

Shiwei Zheng,Yaodeng Chen,Xiang-Yu Huang,Min Chen,Xianya Chen,Jing Huang..Ensemble-based diurnally varying background error covariances and their impact on short-term weather forecasting[J].大气和海洋科学快报:英文版,2022,15(6):P.22-28,7.

基金项目

This work was jointly sponsored by the National Natural Science Foundation of China[grant number 42075148] （）

the Outreach Projects of the State Key Laboratory of Severe Weather[grant number 2021LASWA08] （）

the Outreach Projects of the Key Laboratory of Meteorological Disaster[grant number KLME202209] （）

supported by the High-Performance Computing Center of Nanjing University of Information Science and Technology(NUIST). （NUIST）

大气和海洋科学快报:英文版

OACSCD

ISSN：1674-2834

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