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...

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Detalles Bibliográficos
Autores principales: Agou, Vasiliki D., Pavlides, Andrew, Hristopulos, Dionissios T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947256/
https://www.ncbi.nlm.nih.gov/pubmed/35327832
http://dx.doi.org/10.3390/e24030321

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