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Learning from mistakes—Assessing the performance and uncertainty in process‐based models
Typical applications of process‐ or physically‐based models aim to gain a better process understanding or provide the basis for a decision‐making process. To adequately represent the physical system, models should include all essential processes. However, model errors can still occur. Other than lar...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306826/ https://www.ncbi.nlm.nih.gov/pubmed/35910683 http://dx.doi.org/10.1002/hyp.14515 |