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.
,
Ewert, Frank
,
Arnold, S.
,
Simelton, Elisabeth
,
Fraser E
,
[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
The prediction of climate variability and change requires the use of a range of simulation models. Multiple climate model simulations are needed to sample the inherent uncertainties in seasonal to centennial prediction. Because climate models are computationally expensive, there is a tradeoff bet...
Challinor, Andrew J.
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Osborne, Tom M.
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Shaffrey, Len
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Weller, Hilary
,
Morse, Andy
,
Wheeler, Tim
,
Vidale, Pier Luigi
,
[Methods and resources for climate impacts research]
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Methods and resources for climate impacts research
Global climate models (GCMs) have become increasingly important for climate change
science and provide the basis for most impact studies. Since impact models are highly
sensitive to input climate data, GCM skill is crucial for getting better short-, medium- and
long-term outlooks for agricultural...
Ramírez Villegas, Julián
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Challinor, Andrew J.
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Thornton, Philip K.
,
Jarvis, Andy
,
[Implications of regional improvement in global climate models for agricultural impact research]
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Implications of regional improvement in global climate models for agricultural impact research
Producing projections of future crop yields requires careful thought about the appropriate use of atmosphere-ocean global climate model (AOGCM) simulations. Here we describe and demonstrate multiple methods for ‘calibrating’ climate projections using an ensemble of AOGCM simulations in a ‘perfect...
Hawkins E
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Osborne, Tom M.
,
Ho CK
,
Challinor, Andrew J.
,
[Calibration and bias correction of climate projections for crop modelling: An idealised case study over Europe]
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Calibration and bias correction of climate projections for crop modelling: An idealised case study over Europe
Agricultural development in sub-Saharan Africa faces daunting challenges, which climate change and increasing climate variability will compound in vulnerable areas. The impacts of a changing climate on agricultural production in a world that warms by 4°C or more are likely to be severe in places....
Thornton, Philip K.
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Jones, Peter G.
,
Ericksen, Polly J.
,
Challinor, Andrew J.
,
[Agriculture and food systems in sub-Saharan Africa in a 4°C+ world]
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Agriculture and food systems in sub-Saharan Africa in a 4°C+ world
Climate has been changing in the last fifty years in China and will continue to change regardless any efforts for mitigation. Agriculture is a climate-dependent activity and highly sensitive to climate changes and climate variability. Understanding the interactions between climate change and agri...
Ju H
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Erda, Lin
,
Wheeler, Tim
,
Challinor, Andrew J.
,
Jiang S
,
[Climate Change Modelling and its Roles to Chinese Crops Yield]
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Climate Change Modelling and its Roles to Chinese Crops Yield
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.
,
Wheeler, Tim
,
Hemming D
,
Upadhyaya, Hari D.
,
[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
Increasing use of regionally and globally oriented impacts studies, coordinated across international modelling groups, promises to bring about a new era in climate impacts research. Coordinated cycles of model improvement and projection are needed to make the most of this potential.
Challinor, Andrew J.
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Martre, Pierre
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Asseng, Senthold
,
Thornton, Philip K.
,
Ewert, Frank
,
[Making the most of climate impacts ensembles]
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Making the most of climate impacts ensembles
Rice is the most important food crop in the developing world. For rice production systems to address the challenges of increasing demand and climate change, potential and on-farm yield increases must be increased. Breeding is one of the main strategies toward such aim. Here, we hypothesise that c...
Ramírez Villegas, Julián
,
Heinemann, Alexandre B.
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Pereira de Castro, Adriano
,
Breseghello, Flávio
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Navarro-Racines, Carlos E.
,
Li, Tao
,
Rebolledo, María Camila
,
Challinor, Andrew J.
,
[Breeding implications of drought stress under future climate for upland rice in Brazil]
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Breeding implications of drought stress under future climate for upland rice in Brazil
The increasing use of multi-member climate model ensembles for making future climate impact assessments presents both opportunities for understanding uncertainties, and challenges for interpreting the results. We outline current approaches to assessing uncertainties in climate impacts, statistica...
Falloon, P.
,
Challinor, Andrew J.
,
Dessai, S.
,
Hoang L
,
Johnson J
,
Köhler, Ann-Kristin
,
[Ensembles and uncertainty in climate change impacts]
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Ensembles and uncertainty in climate change impacts