Interpolating turbulent heat fluxes missing from a prairie observation on the Tibetan Plateau using artificial intelligence models
<p>This paper evaluates the performances of mean diurnal variation (MDV), nonlinear regression (NR), lookup tables (LUTs), support vector regression (SVR), <span class="inline-formula"><i>k</i></span>-nearest neighbors (KNNs), gradient boosting (XGBoost), long...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/18/4625/2025/gmd-18-4625-2025.pdf |
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