Using a data-driven statistical model to better evaluate surface turbulent heat fluxes in weather and climate numerical models: a demonstration study
<p>This study proposes using a data-driven statistical model to freeze errors due to differences in environmental forcing when evaluating surface turbulent heat fluxes from weather and climate numerical models with observations. It takes advantage of continuous acquisition over approximately 1...
| Published in: | Geoscientific Model Development |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-06-01
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| Online Access: | https://gmd.copernicus.org/articles/18/3211/2025/gmd-18-3211-2025.pdf |