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
Projections on climate internal variability and climatological mean at fine scales over South Korea
Manh Van Doi,Jongho Kim +1 more
TL;DR: In this article, a stochastic weather generator is employed to generate 100 ensembles of 30-year hourly time series for 40 meteorological stations, and CIV is then estimated from the detrended method and compared with the noise computed by the two approaches.
Journal ArticleDOI
Turnout and weather disruptions: Survey evidence from the 2012 presidential elections in the aftermath of Hurricane Sandy
TL;DR: This paper examined the rational choice reasoning that is used to explain the correlation between low voter turnout and the disruptions caused by weather related phenomena in the United States and found that there is no difference in the likelihood to vote between citizens who experienced greater discomfort and those who experienced no discomfort even in noncompetitive districts.
DissertationDOI
Carbon cycle processes in tropical savannas of far North Queensland, Australia
TL;DR: In this paper, the authors quantified the carbon stocks and fluxes at three study sites in northern Queensland and placed them in the context of climate change and the global carbon cycle.
Dissertation
Ecohydrological interactions and landscape response to recent hydroclimatic events in Australia
TL;DR: In this paper, the authors present a review of the literature on hydrological cycle and water balance in Australia and its relationship to climate change and its impact on water resources, including land cover type and natural hazards.
Posted ContentDOI
The effect of bias adjustment on impact modeling
TL;DR: This paper showed that bias adjustment is often a necessity in estimating climate impacts because impact models usually rely on unbiased climate information, and the lack of long-term impact data prevents a direct comparison between model output and observations for many climate related impacts.
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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