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Reducing model biases is essential to projecting future climate variability

Detalles Bibliográficos
Autor principal: Yamagata, Toshio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566173/
https://www.ncbi.nlm.nih.gov/pubmed/34858611
http://dx.doi.org/10.1093/nsr/nwab080
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author Yamagata, Toshio
author_facet Yamagata, Toshio
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spelling pubmed-85661732021-12-01 Reducing model biases is essential to projecting future climate variability Yamagata, Toshio Natl Sci Rev Commentary Oxford University Press 2021-04-30 /pmc/articles/PMC8566173/ /pubmed/34858611 http://dx.doi.org/10.1093/nsr/nwab080 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Commentary
Yamagata, Toshio
Reducing model biases is essential to projecting future climate variability
title Reducing model biases is essential to projecting future climate variability
title_full Reducing model biases is essential to projecting future climate variability
title_fullStr Reducing model biases is essential to projecting future climate variability
title_full_unstemmed Reducing model biases is essential to projecting future climate variability
title_short Reducing model biases is essential to projecting future climate variability
title_sort reducing model biases is essential to projecting future climate variability
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566173/
https://www.ncbi.nlm.nih.gov/pubmed/34858611
http://dx.doi.org/10.1093/nsr/nwab080
work_keys_str_mv AT yamagatatoshio reducingmodelbiasesisessentialtoprojectingfutureclimatevariability