Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments

dc.creatorRosenzweig, Cynthia
dc.creatorRuane, Alex C
dc.creatorAntle, John
dc.creatorElliott, Joshua
dc.creatorAshfaq, Muhammad
dc.creatorMason-D'Croz, Daniel
dc.creatorWiebe, Keith D.
dc.date2018-04-06
dc.date2024-06-21T09:07:58Z
dc.date2024-06-21T09:07:58Z
dc.date.accessioned2026-06-27T15:20:18Z
dc.descriptionThe Agricultural Model Intercomparison and Improvement Project (AgMIP) has developed novel methods for Coordinated Global and Regional Assessments (CGRA) of agriculture and food security in a changing world. The present study aims to perform a proof of concept of the CGRA to demonstrate advantages and challenges of the proposed framework. This effort responds to the request by the UN Framework Convention on Climate Change (UNFCCC) for the implications of limiting global temperature increases to 1.5°C and 2.0°C above pre-industrial conditions. The CGRA consistently links disciplines, models and scales in order to track the complex chain of climate impacts and identify key vulnerabilities, feedbacks and uncertainties in managing future risk. CGRA proof-of-concept results show that, at the global scale, there are mixed areas of positive and negative simulated wheat and maize yield changes, with declines in some breadbasket regions, at both 1.5°C and 2.0°C.
dc.identifierhttps://hdl.handle.net/10568/146658
dc.identifier.urihttp://hdl.handle.net/123456789/101507
dc.languageen
dc.publisherRoyal Society
dc.rightsOpen Access
dc.sourceRosenzweig, Cynthia; Ruane, Alex C; Antle, John; Elliott, Joshua; Ashfaq, Muhammad; Mason-D'Croz, Daniel; Wiebe, Keith; et al. 2018. Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376(2119). https://doi.org/10.1098/rsta.2016.0455
dc.subjectsimulation models
dc.subjectrisk management
dc.subjectmodels
dc.subjectproduction
dc.subjectforecasting
dc.subjectagricultural sector
dc.subjectinterdisciplinary research
dc.subjectuncertainty
dc.subjectagriculture
dc.subjectidentification
dc.subjectland use
dc.subjectclimate change adaptation
dc.subjectclimate change mitigation
dc.subjectfood security
dc.subjectscales
dc.subjectcrop modelling
dc.subjectprices
dc.subjectclimate change
dc.subjectimpact assessment
dc.titleCoordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments
dc.typeJournal Article

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