A Statistical Hypothesis Testing Strategy for Adaptively Blending Particle Filters and Ensemble Kalman Filters for Data AssimilationSource: Monthly Weather Review:;2023:;volume( 151 ):;issue: 001::page 105DOI: 10.1175/MWR-D-22-0108.1Publisher: American Meteorological Society
|
Collections
Show full item record
| contributor author | Kurosawa, Kenta | |
| contributor author | Poterjoy, Jonathan | |
| date accessioned | 2024-12-24T14:48:40Z | |
| date available | 2024-12-24T14:48:40Z | |
| date copyright | 01 Jan. 2023 | |
| date issued | 2023 | |
| identifier other | mwre-MWR-D-22-0108.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301369 | |
| 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 | |
| journal fristpage | 105 | |
| journal lastpage | 125 | |
| tree | Monthly Weather Review:;2023:;volume( 151 ):;issue: 001 | |
| contenttype | Fulltext |