A Statistical Hypothesis Testing Strategy for Adaptively Blending Particle Filters and Ensemble Kalman Filters for Data AssimilationSource: Monthly Weather Review:;2023:;volume( 151 ):;issue: 001DOI: 10.1175/MWR-D-22-0108.1Publisher: American Meteorological Society
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| contributor author | Kurosawa, Kenta | |
| contributor author | Poterjoy, Jonathan | |
| date accessioned | 2023-08-15T11:01:22Z | |
| date available | 2023-08-15T11:01:22Z | |
| date copyright | 01 Jan. 2023 | |
| date issued | 2023 | |
| identifier other | MWR-D-22-0108.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4291165 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | A Statistical Hypothesis Testing Strategy for Adaptively Blending Particle Filters and Ensemble Kalman Filters for Data Assimilation | |
| type | Journal Paper | |
| journal volume | 151 | |
| journal issue | 1 | |
| journal title | Monthly Weather Review | |
| identifier doi | 10.1175/MWR-D-22-0108.1 | |
| page | 125-105 | |
| tree | Monthly Weather Review:;2023:;volume( 151 ):;issue: 001 | |
| contenttype | Fulltext |