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Journal ArticleDOI

Robust spatially aggregated projections of climate extremes

Erich M. Fischer, +2 more
- 01 Dec 2013 - 
- Vol. 3, Iss: 12, pp 1033-1038
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TLDR
This article showed that the uncertainties associated with the projection of climate extremes are mainly due to internal climate variability and that model projections are consistent when averaged across regions, allowing robust projection of future extremes.
Abstract
There are large uncertainties associated with the projection of climate extremes. This study shows that the uncertainties are mainly due to internal climate variability. However, model projections are consistent when averaged across regions, allowing robust projection of future extremes.

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Citations
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Precipitation From Persistent Extremes is Increasing in Most Regions and Globally

TL;DR: In this article, the authors consider extreme persistent precipitation by complete event with variable duration, rather than a fixed temporal period, is a necessary metric to account for the complexity of changing precipitation.
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Adapting wheat ideotypes for climate change: accounting for uncertainties in CMIP5 climate projections

TL;DR: In this article, the integration of climate change projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) multi-model ensemble with the LARS-WG weather generator is described.
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Significant increases in extreme precipitation and the associations with global warming over the global land monsoon regions

TL;DR: The global land monsoon region, with substantial monsoon rainfall and hence freshwater resources, is home to nearly two-thirds of the world's population as discussed by the authors, however, it is overwhelmed by extre...
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Soil erosion is unlikely to drive a future carbon sink in Europe

TL;DR: The results challenge the idea that higher erosion driven by climate will lead to a C sink in the near future and show that C input increases were offset by higher heterotrophic respiration under climate change.
Journal ArticleDOI

Attribution of the record high Central England temperature of 2014 to anthropogenic influences

TL;DR: Using both state-of-the-art climate models and empirical techniques, this paper found that anthropogenic forcings on the climate have increased the chances of record warm years in Central England by at least 13-fold.
References
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BookDOI

Managing the risks of extreme events and disasters to advance climate change adaptation. Special report of the Intergovernmental Panel on Climate Change.

TL;DR: In this paper, a special report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX) has been jointly coordinated by Working Groups I (WGI) and II (WGII) of the Intergovernmental Panel on Climate Change (IPCC).
Journal ArticleDOI

The Community Climate System Model Version 4

TL;DR: The fourth version of the Community Climate System Model (CCSM4) was recently completed and released to the climate community as mentioned in this paper, which describes developments to all CCSM components, and documents fully coupled preindustrial control runs compared to the previous version.
Book

Managing the risks of extreme events and disasters to advance climate change adaption

TL;DR: In this article, the authors present a case study for managing the risks from climate extremes and disasters at the local level and national systems for managing risks at the international level and integration across scales.
Journal ArticleDOI

The Potential to Narrow Uncertainty in Regional Climate Predictions

TL;DR: In this article, a suite of climate models are used to predict changes in surface air temperature on decadal timescales and regional spatial scales, and it is shown that the uncertainty for the next few decades is dominated by model uncertainty and internal variability that are potentially reducible through progress in climate science.
Journal ArticleDOI

Human contribution to more-intense precipitation extremes

TL;DR: It is shown that human-induced increases in greenhouse gases have contributed to the observed intensification of heavy precipitation events found over approximately two-thirds of data-covered parts of Northern Hemisphere land areas.
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