The quantification of uncertainty is an increasingly popular topic, with clear importance for climate change policy. However, uncertainty assessments are open to a range of interpretations, each of which may lead to a different policy recommendation. In the EQUIP project researchers from the UK c...
Wesselink A
,
Challinor, Andrew J.
,
Watson, J.
,
Beven, K.
,
Allen I
,
Hanlon H
,
López, A.
,
Lorenz S
,
Otto F
,
Morse, Andy
,
Rye C
,
Saux-Picard S
,
Stainforth D
,
Suckling E
,
[Equipped to deal with uncertainty in climate and impacts predictions: lessons from internal peer review]
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Equipped to deal with uncertainty in climate and impacts predictions: lessons from internal peer review
Understanding the relationship between climate and crop productivity is a key component of projections of future food production, and hence assessments of food security. Climate models and crop yield datasets have errors, but the effects of these errors on regional scale crop models is not well c...
Watson, J.
,
Challinor, Andrew J.
,
Fricker TE
,
Ferro CAT
,
[Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model]
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Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model
Feeding a growing global population in a changing climate presents a significant challenge to society. The projected yields of crops under a range of agricultural and climatic scenarios are needed to assess food security prospects. Previous meta-analyses have summarized climate change impacts and...
Challinor, Andrew J.
,
Watson, J.
,
Lobell, David B.
,
Howden SM
,
Smith, D.R.
,
Chhetri, Netra
,
[A meta-analysis of crop yield under climate change and adaptation]
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A meta-analysis of crop yield under climate change and adaptation