Knowledge‐guided machine learning for improving daily soil temperature prediction across the United States
Abstract Data‐driven models used for predicting soil temperature usually have increasing errors with increasing depth. By exploring the integration of knowledge‐based and machine learning approaches, this study used a novel transformation of meteorological variables to increase prediction accuracy o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-09-01
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| Series: | Vadose Zone Journal |
| Online Access: | https://doi.org/10.1002/vzj2.20151 |