Benchmark decadal forecast skill for terrestrial water storage estimated by an elasticity framework
A reliable decadal hydrological prediction is challenging but critical to managing water resources. Here the authors incorporate decadal climate prediction information with an elasticity framework over global river basins, and obtain a new benchmark skill that is significantly higher than before.
Guardado en:
Autores principales: | Enda Zhu, Xing Yuan, Andrew W. Wood |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7182c454ee8e42a5a0aed672a2b48bed |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Identifying ENSO-related interannual and decadal variability on terrestrial water storage
por: Se-Hyeon Cheon, et al.
Publicado: (2021) -
Assessing Changes in Terrestrial Water Storage Components over the Great Artesian Basin Using Satellite Observations
por: Pankaj R. Kaushik, et al.
Publicado: (2021) -
Standard assessments of climate forecast skill can be misleading
por: James S. Risbey, et al.
Publicado: (2021) -
Marginal ice zone fraction benchmarks sea ice and climate model skill
por: Christopher Horvat
Publicado: (2021) -
Estimating retention benchmarks for salvage logging to protect biodiversity
por: Simon Thorn, et al.
Publicado: (2020)