Journal ArticleDOI
Robust spatially aggregated projections of climate extremes
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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.read more
Citations
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Journal ArticleDOI
An “Observational Large Ensemble” to Compare Observed and Modeled Temperature Trend Uncertainty due to Internal Variability
TL;DR: In this paper, statistical resampling methods are applied to observations in order to quantify uncertainty in historical 50-yr (1966-2015) winter near-surface air temperature trends over North America related to incomplete sampling of internal variability.
Journal ArticleDOI
A hierarchical Bayesian regional model for nonstationary precipitation extremes in Northern California conditioned on tropical moisture exports
Scott Steinschneider,Upmanu Lall +1 more
TL;DR: In this article, the authors present a nonstationary, regional frequency analysis of precipitation extremes in Northern California that is conditioned on the interannual variability of TMEs entering the region.
Journal ArticleDOI
Seasonality, Intensity, and Duration of Rainfall Extremes Change in a Warmer Climate
Journal ArticleDOI
Assessing current and future trends of climate extremes across Brazil based on reanalyses and earth system model projections
Alvaro Avila-Diaz,Victor Hugo Benezoli,Flavio Justino,Roger Rodrigues Torres,Aaron B. Wilson +4 more
TL;DR: In this article, the authors analyzed the historical patterns and projected changes in temperature and precipitation extremes across Brazil using the World Climate Research Program's Expert Team on Climate Change Detection and Indices framework.
Journal ArticleDOI
Projected increases in magnitude and socioeconomic exposure of global droughts in 1.5 and 2 °C warmer climates
Lei Gu,Jie Chen,Jiabo Yin,Sylvia C. Sullivan,Hui-Min Wang,Shenglian Guo,Liping Zhang,Jong-Suk Kim +7 more
TL;DR: In this paper, the authors quantified the change in global drought conditions and corresponding socioeconomic impacts for additional 1.5 and 2.0 √ c warming trajectories, respectively.
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
Peter R. Gent,Gokhan Danabasoglu,Leo J. Donner,Marika M. Holland,Elizabeth Hunke,Steve R. Jayne,David M. Lawrence,Richard Neale,Philip J. Rasch,Mariana Vertenstein,Patrick H. Worley,Zong-Liang Yang,Minghua Zhang +12 more
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
Ed Hawkins,Rowan Sutton +1 more
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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