A high-resolution daily global dataset of statistically downscaled CMIP6 models for climate impact analyses

A high-resolution daily global dataset of statistically downscaled CMIP6 models for climate impact analyses

Abstract A large number of historical simulations and future climate projections are available from Global Climate Models, but these are typically of coarse resolution, which limits their effectiveness for assessing local scale changes in climate and attendant impacts. Here, we use a novel statistic...

Full description

Bibliographic Details
Main Authors: Solomon Gebrechorkos, Julian Leyland, Louise Slater, Michel Wortmann, Philip J. Ashworth, Georgina L. Bennett, Richard Boothroyd, Hannah Cloke, Pauline Delorme, Helen Griffith, Richard Hardy, Laurence Hawker, Stuart McLelland, Jeffrey Neal, Andrew Nicholas, Andrew J. Tatem, Ellie Vahidi, Daniel R. Parsons, Stephen E. Darby
Format: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02528-x

Internet

https://doi.org/10.1038/s41597-023-02528-x

Similar Items