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A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies


Type:
Article
Title:
A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies
Author:
Shelia, V.;
Shelia, V.
ORCID iD iconhttps://orcid.org/0000-0002-9768-7958
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Hansen, J.;
Hansen, J.
ORCID iD iconhttps://orcid.org/0000-0002-8599-7895
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Sharda, V.;
Sharda, V.
ORCID iD iconhttps://orcid.org/0000-0002-4048-0884
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Porter, C.;
Porter, C.
ORCID iD iconhttps://orcid.org/0000-0001-7269-6543
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Aggarwal, P.K.;
ORCID iD icon
Aggarwal, P.K.
ORCID iD iconhttps://orcid.org/0000-0002-1060-7602
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Wilkerson, C.J.;
Hoogenboom, G.
Hoogenboom, G.
ORCID iD iconhttps://orcid.org/0000-0002-1555-0537
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Year:
2019
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Journal:
Environmental Modelling and Software
Journal volume:
115
Pages:
144-154
DOI:
10.1016/j.envsoft.2019.02.006
Place of Publication:
Amsterdam, Netherlands
Publisher:
Elsevier
Citation:
A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies. 2019. Shelia, V.; Hansen, J.; Sharda, V.; Porter, C.; Aggarwal, P.K.; Wilkerson, C.J.; Hoogenboom, G. 115 DOI: 10.1016/j.envsoft.2019.02.006 Elsevier.

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Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

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