Enhancing weather predictions: Initial condition sensitivity and error dynamics in data assimilation

被引：0

作者：

Weiwei FU ^{[1
,2
,3
]}

机构：

[1] Department of Atmospheric and Oceanic Sciences,Fudan University

[2] Key Laboratory of Polar Atmosphere-ocean-ice System for Weather and Climate,Ministry of Education,Fudan University

[3] IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather,Fudan

来源：

Science China Earth Sciences | 2025年 / 68卷 / 02期

关键词：

D O I：

暂无

中图分类号：

P456.7 [数值预报方法];

学科分类号：

摘要：

<正>Data Assimilation(DA) plays a crucial role in modern numerical forecasting(Kalnay, 2002). It has been demonstrated that incorporating real-time observational data into forecast models significantly enhances the accuracy of both shortterm weather forecasts(Bauer et al., 2015; Bannister, 2017)and long-term climate predictions(Karspeck et al., 2013;Mochizuki et al., 2016).

引用

页码：649 / 652

页数：4

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