Assessments of the relationships between crop productivity and climate change rely upon a combination of modelling and measurement. As part of this review, this relationship is discussed in the context of crop and climate simulation. Methods for linking these two types of models are reviewed, wit...
Challinor, Andrew J.
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Ewert, Frank
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Arnold, S.
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Simelton, Elisabeth
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Fraser E
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[Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation]
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Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation
Estimates of the response of crops to climate change rarely quantify the uncertainty inherent in the simulation of both climate and crops. We present a crop simulation ensemble for a location in India, perturbing the response of both crop and climate under both baseline (12 720 simulations) and d...
Challinor, Andrew J.
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Wheeler, Tim
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Hemming D
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Upadhyaya, Hari D.
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[Ensemble yield simulations: crop and climate uncertainties, sensitivity to temperature and genotypic adaptation to climate change]
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Ensemble yield simulations: crop and climate uncertainties, sensitivity to temperature and genotypic adaptation to climate change
In order for climate forecasting to be used in developing adaptation options, the forecasts should be able to affect decisions made by stakeholders in a manner that improves outcomes. The implications of this requirement for forecasting are presented under five headings: relevance, reliability, s...
Challinor, Andrew J.
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[Towards the development of adaptation options using climate and crop yield forecasting at seasonal to multi-decadal timescales]
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Towards the development of adaptation options using climate and crop yield forecasting at seasonal to multi-decadal timescales
Wallach, Daniel
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Thorburn, Peter J.
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Asseng, Senthold
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Challinor, Andrew J.
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Ewert, Frank
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Jones, James W.
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Rotter, Reimund P.
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Ruane, Alex C.
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[Estimating model prediction error: Should you treat predictions as fixed or random?]
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Estimating model prediction error: Should you treat predictions as fixed or random?
Using a global atmospheric chemistry model, we have quantified for the first time, intercontinental transboundary contributions to crop ozone exposure and subsequent yield reductions in the Northern Hemisphere. We apply four metrics (AOT40, M7, M12, W126) to assess the impacts of 100% reductions ...
Hollaway MJ
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Arnold, S.R.
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Challinor, Andrew J.
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Emberson LD
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[Intercontinental trans-boundary contributions to ozone-induced crop yield losses in the Northern Hemisphere]
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Intercontinental trans-boundary contributions to ozone-induced crop yield losses in the Northern Hemisphere