Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation

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Autores principales:	Fan Manhong, Bai Yulong, Wang Lili, Tang Lihong, Ding Lin
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	data assimilation data-driven machine learning lorenz model k-nearest neighbor locally weighted linear regression Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/ff28850400804786b43d41068b297fd9
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spelling	oai:doaj.org-article:ff28850400804786b43d41068b297fd92021-12-05T14:10:49ZCoupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation2391-544710.1515/geo-2020-0312https://doaj.org/article/ff28850400804786b43d41068b297fd92021-11-01T00:00:00Zhttps://doi.org/10.1515/geo-2020-0312https://doaj.org/toc/2391-5447Fan ManhongBai YulongWang LiliTang LihongDing LinDe Gruyterarticledata assimilationdata-drivenmachine learninglorenz modelk-nearest neighborlocally weighted linear regressionGeologyQE1-996.5ENOpen Geosciences, Vol 13, Iss 1, Pp 1395-1413 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	data assimilation data-driven machine learning lorenz model k-nearest neighbor locally weighted linear regression Geology QE1-996.5
spellingShingle	data assimilation data-driven machine learning lorenz model k-nearest neighbor locally weighted linear regression Geology QE1-996.5 Fan Manhong Bai Yulong Wang Lili Tang Lihong Ding Lin Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation
format	article
author	Fan Manhong Bai Yulong Wang Lili Tang Lihong Ding Lin
author_facet	Fan Manhong Bai Yulong Wang Lili Tang Lihong Ding Lin
author_sort	Fan Manhong
title	Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation
title_short	Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation
title_full	Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation
title_fullStr	Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation
title_full_unstemmed	Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation
title_sort	coupling the k-nearest neighbors and locally weighted linear regression with ensemble kalman filter for data-driven data assimilation
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/ff28850400804786b43d41068b297fd9
work_keys_str_mv	AT fanmanhong couplingtheknearestneighborsandlocallyweightedlinearregressionwithensemblekalmanfilterfordatadrivendataassimilation AT baiyulong couplingtheknearestneighborsandlocallyweightedlinearregressionwithensemblekalmanfilterfordatadrivendataassimilation AT wanglili couplingtheknearestneighborsandlocallyweightedlinearregressionwithensemblekalmanfilterfordatadrivendataassimilation AT tanglihong couplingtheknearestneighborsandlocallyweightedlinearregressionwithensemblekalmanfilterfordatadrivendataassimilation AT dinglin couplingtheknearestneighborsandlocallyweightedlinearregressionwithensemblekalmanfilterfordatadrivendataassimilation
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Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation

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