A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering
The Ensemble Kalman Filters (EnKF) employ a Monte-Carlo approach to represent covariance information, and are affected by sampling errors in operational settings where the number of model realizations is much smaller than the model state dimension. To alleviate the effects of these errors EnKF relie...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Stockholm University Press
2023-04-01
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| Rangatū: | Tellus: Series A, Dynamic Meteorology and Oceanography |
| Ngā marau: | |
| Urunga tuihono: | https://account.a.tellusjournals.se/index.php/su-j-tadmo/article/view/214 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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