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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

Drought stress leads to systemic induced susceptibility to a nectrotrophic fungus associated with mountain pine beetle in Pinus banksiana seedlings.

TL;DR: The results demonstrate that drought can affect interactions among tree-infesting organisms through systemic cross-induction of susceptibility.
Journal ArticleDOI

Attributing Changing Rates of Temperature Record Breaking to Anthropogenic Influences

TL;DR: In this paper, a simple methodology designed for estimating the anthropogenic influence on rates of record-breaking in a given timeseries is proposed, showing that the frequency of hot and cold record breaking temperature occurrences is changing due to anthropogenic influences on the climate.
Journal ArticleDOI

Future changes in Asian summer monsoon precipitation extremes as inferred from 20-km AGCM simulations

TL;DR: In this article, the authors examined the impacts of climate change on precipitation extremes in the Asian monsoon region during boreal summer, based on simulations from the 20-km Meteorological Research Institute atmospheric general circulation model.
Journal ArticleDOI

A Multiregion Model Evaluation and Attribution Study of Historical Changes in the Area Affected by Temperature and Precipitation Extremes

TL;DR: The skill of eight climate models in simulating the variability and trends in the observed areal extent of daily temperature and precipitation extremes is evaluated across five large-scale regions, using the climate extremes index (CEI) framework as mentioned in this paper.
Journal ArticleDOI

Informing Future Risks of Record-Level Rainfall in the United States.

TL;DR: The contiguous United States is cluster into self-similar hydroclimates to estimate changes in the expected frequency of extremely rare events under scenarios of global mean temperature change and it is found that, although there is some regional variation, record events are projected in general to become more intense.
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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