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

作　　者：Weiwei FU 

机构地区：[1]Department of Atmospheric and Oceanic Sciences,Fudan University,Shanghai 200438,China [2]Key Laboratory of Polar Atmosphere-ocean-ice System for Weather and Climate,Ministry of Education,Fudan University,Shanghai 200438,China [3]IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather,Fudan University,Shanghai 200438,China

出　　处：《Science China Earth Sciences》2025年第2期649-652,共4页中国科学(地球科学英文版)

摘　　要：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).

关 键 词：WEATHER ASSIMILATION forecasting 

分 类 号：P456.7[天文地球—大气科学及气象学]