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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

Contributions of atmospheric circulation variability and data coverage bias to the warming hiatus

TL;DR: This paper showed that the characteristics of the Northern Hemisphere winter cooling in 1998-2012 can mostly be explained by missing observations and by internal variability in the atmospheric circulation of the northern hemisphere extratropics.
Journal ArticleDOI

Detection of Human Influence on Precipitation Extremes in Asia

TL;DR: The authors examines the influence of external forcings on observed changes in precipitation extremes in the mid-to-high latitudes of Asia during 1958-2012 and attempts to identify the sources of external influence.
Journal ArticleDOI

The Role of Circulation and Land Surface Conditions in Current and Future Australian Heat Waves

TL;DR: In this article, the influence of the large-scale circulation on Australian heat waves, conditional on the land surface conditions, has been analyzed and the importance of horizontal temperature advection is illustrated in these circulation patterns.
Journal ArticleDOI

Comparing Australian heat waves in the CMIP5 models through cluster analysis

TL;DR: In this paper, the authors analyzed heat waves simulated by state-of-the-art global climate models over the Australian region for the recent past (1958-2005) and showed that model internal variability strongly influences the spatial patterns of heat wave trends, while intermodel differences in heat wave climatology appear more influenced by model uncertainty.
Journal ArticleDOI

Consistency of extreme temperature changes in China under a historical half-degree warming increment across different reanalysis and observational datasets

TL;DR: In this paper, the authors compare the extreme temperature changes associated with the past 0.5°C warming derived from three reanalysis datasets including JRA-55, ERA and 20CR with the observation in China, and show that while the reanalyses can serve as useful substitutes to fill in the observational gaps, cautious should be taken in regions with sparse observations and large anthropogenic aerosol emissions.
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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