Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields

Historical annual maize yields in the U.S. are overestimated by CMIP5 models and underestimated by bias-corrected and downscaled models due to differences in temperature and precipitation hindcasts, according to a multi-model ensemble comparison.

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Autores principales:	David C. Lafferty, Ryan L. Sriver, Iman Haqiqi, Thomas W. Hertel, Klaus Keller, Robert E. Nicholas
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Geology QE1-996.5 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/b44eae854a2a40f7af7844b31b055a33
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spelling	oai:doaj.org-article:b44eae854a2a40f7af7844b31b055a332021-12-02T17:27:18ZStatistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields10.1038/s43247-021-00266-92662-4435https://doaj.org/article/b44eae854a2a40f7af7844b31b055a332021-09-01T00:00:00Zhttps://doi.org/10.1038/s43247-021-00266-9https://doaj.org/toc/2662-4435Historical annual maize yields in the U.S. are overestimated by CMIP5 models and underestimated by bias-corrected and downscaled models due to differences in temperature and precipitation hindcasts, according to a multi-model ensemble comparison.David C. LaffertyRyan L. SriverIman HaqiqiThomas W. HertelKlaus KellerRobert E. NicholasNature PortfolioarticleGeologyQE1-996.5Environmental sciencesGE1-350ENCommunications Earth & Environment, Vol 2, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Geology QE1-996.5 Environmental sciences GE1-350
spellingShingle	Geology QE1-996.5 Environmental sciences GE1-350 David C. Lafferty Ryan L. Sriver Iman Haqiqi Thomas W. Hertel Klaus Keller Robert E. Nicholas Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields
description	Historical annual maize yields in the U.S. are overestimated by CMIP5 models and underestimated by bias-corrected and downscaled models due to differences in temperature and precipitation hindcasts, according to a multi-model ensemble comparison.
format	article
author	David C. Lafferty Ryan L. Sriver Iman Haqiqi Thomas W. Hertel Klaus Keller Robert E. Nicholas
author_facet	David C. Lafferty Ryan L. Sriver Iman Haqiqi Thomas W. Hertel Klaus Keller Robert E. Nicholas
author_sort	David C. Lafferty
title	Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields
title_short	Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields
title_full	Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields
title_fullStr	Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields
title_full_unstemmed	Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields
title_sort	statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on u.s. maize yields
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b44eae854a2a40f7af7844b31b055a33
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Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields

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