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.

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Auteurs principaux: Enda Zhu, Xing Yuan, Andrew W. Wood
Format: article
Langue:EN
Publié: Nature Portfolio 2019
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Accès en ligne:https://doaj.org/article/7182c454ee8e42a5a0aed672a2b48bed
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