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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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Journal ArticleDOI

Interactions between urban heat islands and heat waves

TL;DR: Zhao et al. as mentioned in this paper used a climate model to investigate the interactions between the UHI and heat stress in 50 cities in the United States under current climate and future warming scenarios.
Journal ArticleDOI

Characterizing differences in precipitation regimes of extreme wet and dry years: implications for climate change experiments.

TL;DR: It is recommended that climate change experiments and model simulations incorporate differences in key precipitation regime attributes, as well as amount, into treatments to allow experiments to more realistically simulate extreme precipitation years and more accurately assess the ecological consequences.
Journal ArticleDOI

Changes in regional heatwave characteristics as a function of increasing global temperature

TL;DR: Analysis of two climate model ensembles indicate that variation in the rate of heatwave changes is dependent on physical differences between different climate models, however internal climate variability bears considerable influence on the expected range of regional heatwaveChanges per warming threshold.
Journal ArticleDOI

Detection of spatially aggregated changes in temperature and precipitation extremes

TL;DR: In this article, the authors used a spatially aggregated perspective to detect a distinct intensification of heavy precipitation events and hot extremes and showed that much of the local to regional differences in trends of extremes can be explained by internal variability, which can regionally mask or amplify the forced long-term trends.
Journal ArticleDOI

Multi-hazard assessment in Europe under climate change

TL;DR: In this article, a multi-hazard framework is presented to map exposure to multiple climate extremes in Europe along the twenty-first century, using an ensemble of climate projections, changes in the frequency of heat and cold waves, river and coastal flooding, streamflow droughts, wildfires and windstorms are evaluated.
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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