Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems:A Review
Sibo Cheng Julien Brajard Dunhui Xiao Tijana Janjic Weiping Ding Yike Guo Alberto Carrassi Marc Bocquet Rossella Arcucci César Quilodrán-Casas Said Ouala Alban Farchi Che Liu Pierre Tandeo Ronan Fablet Didier Lucor Bertrand Iooss
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems:A Review
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems:A Review
摘要
关键词
Data assimilation(DA)/deep learning/machine learning(ML)/reduced-order-modelling/uncertainty quantification(UQ)Key words
Data assimilation(DA)/deep learning/machine learning(ML)/reduced-order-modelling/uncertainty quantification(UQ)引用本文复制引用
Sibo Cheng,Julien Brajard,Dunhui Xiao,Tijana Janjic,Weiping Ding,Yike Guo,Alberto Carrassi,Marc Bocquet,Rossella Arcucci,César Quilodrán-Casas,Said Ouala,Alban Farchi,Che Liu,Pierre Tandeo,Ronan Fablet,Didier Lucor,Bertrand Iooss..Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems:A Review[J].自动化学报(英文版),2023,10(6):1361-1387,27.基金项目
Sibo Cheng acknowledges the support of the Leverhulme Centre for Wildfires,Environment and Society through the Leverhulme Trust(RC-2018-023).Sibo Cheng,César Quilo-dran-Casas,and Rossella Arcucci acknowledge the support of the PREMIERE project(EP/T000414/1).Dunhui Xiao would like to acknowledge the support of EPSRC grant:PURIFY(EP/V000756/1)and the Fundamental Research Funds for the Central Universities.Marc Bocquet,Julien Brajard,Alberto Carrassi,and Alban Farchi acknowledge the support of the SASIP project(353)funded by Schmidt Futures-a philan-thropic initiative that seeks to improve societal outcomes through the development of emerging science and technolo-gies.Tijana Janjic would like to thank DFG for the Heisen-berg Programm Award(JA 1077/4-1).Weiping Ding would like to acknowledge the National Natural Science Foundation of China(61976120)and the Natural Science Key Founda-tion of Jiangsu Education Department(21KJA510004) (RC-2018-023)