A Novel Machine Learning Based Bias Correction Method and Its Application to Sea Level in an Ensemble of Downscaled Climate Projections
A new machine learning based bias correction method is presented and applied to sea level in a regional climate model. The bias corrections derived using this method depend on the state of the model it corrects. This contrasts with conventional bias correction methods that operate on distributions o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Stockholm University Press
2023-02-01
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| Series: | Tellus: Series A, Dynamic Meteorology and Oceanography |
| Subjects: | |
| Online Access: | https://account.a.tellusjournals.se/index.php/up/article/view/3216 |