2014
DOI: 10.1007/s10584-014-1281-2
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The impacts of climate change across the globe: A multi-sectoral assessment

Abstract: The overall global-scale consequences of climate change are dependent on the distribution of impacts across regions, and there are multiple dimensions to these impacts. This paper presents a global assessment of the potential impacts of climate change across several sectors, using a harmonised set of impacts models forced by the same climate and

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Cited by 97 publications
(62 citation statements)
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“…Whilst the UNFCCC target is framed in terms of global-mean temperature, the impacts will be felt heterogeneously across the world (Arnell et al 2016) and one of the key impacts of global warming will be on water resources (Arnell and Gosling 2013). Within this context, we present an assessment of the impact of different levels of global warming on river runoff, focusing on eight major river catchments across the world.…”
Section: Introductionmentioning
confidence: 99%
“…Whilst the UNFCCC target is framed in terms of global-mean temperature, the impacts will be felt heterogeneously across the world (Arnell et al 2016) and one of the key impacts of global warming will be on water resources (Arnell and Gosling 2013). Within this context, we present an assessment of the impact of different levels of global warming on river runoff, focusing on eight major river catchments across the world.…”
Section: Introductionmentioning
confidence: 99%
“…At the same time, evaluations indicate major increases in people with impeded access to fresh water and also in those exposed to floods (e.g., Arnell et al 2016). For those confronting these issues, a concern is whether we know enough to understand, predict, and address how land cover influences water availability.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, estimates of the likely impacts of climate change on crop production at a global scale were historically made by scaling-up the output of site studies (Rosenzweig and Parry 1994) or by aggregating individual studies on the basis of geography (IPCC 2007). However more recent studies including Osborne et al (2013), Rosenzweig et al (2013) and Arnell et al (2014) have relied on smaller-scale studies. Such models have been used to investigate the impact of future temperatures on global or regional crop yield.…”
Section: Introductionmentioning
confidence: 99%
“…This paper introduces a methodology for estimating global maize and soybean yield for different levels of global temperature increases. The General Large Area Model for annual crops (GLAM) is a process-based crop model, developed for large-scale global studies (Challinor et al 2004) and has previously been used to simulate soybean (Osborne et al, 2013, Arnell et al 2014) and maize (Greatrex 2012, Watson et al 2014. A pattern-scaling approach is described which provides climate scenarios consistent with prescribed increases in global temperature.…”
Section: Introductionmentioning
confidence: 99%