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Spatial Modeling of Precipitation Based on Data-Driven Warping of Gaussian Processes
Modeling and forecasting spatiotemporal patterns of precipitation is crucial for managing water resources and mitigating water-related hazards. Globally valid spatiotemporal models of precipitation are not available. This is due to the intermittent nature, non-Gaussian distribution, and complex geog...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947256/ https://www.ncbi.nlm.nih.gov/pubmed/35327832 http://dx.doi.org/10.3390/e24030321 |