Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2021-11-01
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| Series: | Open Geosciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/geo-2020-0312 |
| _version_ | 1798030229167407104 |
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| 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 |
| collection | DOAJ |
| first_indexed | 2024-04-11T19:37:58Z |
| format | Article |
| id | doaj.art-ff28850400804786b43d41068b297fd9 |
| institution | Directory Open Access Journal |
| issn | 2391-5447 |
| language | English |
| last_indexed | 2024-04-11T19:37:58Z |
| publishDate | 2021-11-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Geosciences |
| spelling | doaj.art-ff28850400804786b43d41068b297fd92022-12-22T04:06:49ZengDe GruyterOpen Geosciences2391-54472021-11-011311395141310.1515/geo-2020-0312Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilationFan Manhong0Bai Yulong1Wang Lili2Tang Lihong3Ding Lin4College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou 730070, ChinaCollege of Physics and Electrical Engineering, Northwest Normal University, Lanzhou 730070, ChinaCollege of Physics and Electrical Engineering, Northwest Normal University, Lanzhou 730070, ChinaCollege of Physics and Electrical Engineering, Northwest Normal University, Lanzhou 730070, ChinaCollege of Physics and Electrical Engineering, Northwest Normal University, Lanzhou 730070, Chinahttps://doi.org/10.1515/geo-2020-0312data assimilationdata-drivenmachine learninglorenz modelk-nearest neighborlocally weighted linear regression |
| spellingShingle | 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 Open Geosciences data assimilation data-driven machine learning lorenz model k-nearest neighbor locally weighted linear regression |
| title | 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_short | 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 |
| topic | data assimilation data-driven machine learning lorenz model k-nearest neighbor locally weighted linear regression |
| url | https://doi.org/10.1515/geo-2020-0312 |
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