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
Precipitation extremes and depth-duration-frequency under internal climate variability
Udit Bhatia,Auroop R. Ganguly +1 more
TL;DR: In this article, the authors show that concatenating multiple initial condition ensembles results in reduction of hydroclimate uncertainty, which percolates to adaptation-relevant-Depth-Duration Frequency curves.
Journal ArticleDOI
Precipitation extremes and their relation to climatic indices in the Pacific Northwest USA
TL;DR: In this article, the authors present an evaluation of precipitation-based extremes in Columbia River Basin (CRB) in the Pacific Northwest USA using past and future climate projections, which help in attaining first-hand information on spatial and temporal scales for different service sectors including energy, agriculture, forestry etc.
Journal ArticleDOI
Climate change impacts on summer flood frequencies in two mountainous catchments in China and Switzerland
TL;DR: In this paper, the authors used a hydrological model coupled with a stochastic weather generator to simulate the summer flood regime in two mountainous catchments located in China and Switzerland.
Journal ArticleDOI
Projected Changes in the Annual Range of Precipitation Under Stabilized 1.5°C and 2.0°C Warming Futures
Journal ArticleDOI
Integrative ecology in the era of big data—From observation to prediction
TL;DR: The research progresses in ecological big data is summarized, the opportunity and demand of integrative ecology are reviewed, and the main approaches of ecologicalbig data integration are discussed by using meta-analysis, data mining, and data-model fusion.
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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