Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years-Reference-Cited by-同舟云学术

Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years

Published:2023-09 Issue: Volume:97 Page:101807
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Singh Ujjwal^ORCID,Maca Petr,Hanel Martin,Markonis Yannis,Nidamanuri Rama Rao,Nasreen Sadaf,Blöcher Johanna Ruth,Strnad Filip,Vorel Jiri,Riha Lubomir,Raghubanshi Akhilesh Singh

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference127 articles.

1. Global hydrological cycles and world water resources;Oki;Science,2006

2. Global multimodel analysis of drought in runoff for the second half of the twentieth century;Van Huijgevoort;J. Hydrometeorol.,2013

3. Global threats to human water security and river biodiversity;Vörösmarty;Nature,2010

4. Anthropogenic climate change detected in European renewable freshwater resources;Gudmundsson;Nat. Clim. Change,2017

5. Climate and Life;Budyko,1974

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