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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Posted Content
Exploratory data analysis for moderate extreme values using non-parametric kernel methods
TL;DR: This article developed a transformation kernel density estimator, and demonstrate that its mean integrated squared error (MISE) efficiency is equivalent to that of standard, non-tail focused kernel density estimation estimators.
Journal ArticleDOI
Use of Ensemble-Based Gridded Precipitation Products for Assessing Input Data Uncertainty Prior to Hydrologic Modeling
Scott Pokorny,Tricia A. Stadnyk,Rajtantra Lilhare,Genevieve Ali,Stephen J. Déry,Kristina A. Koenig +5 more
TL;DR: In this article, the spatial and temporal performance of an ensemble of five gridded climate datasets (precipitation) (North American Regional Reanalysis, European Centre for Medium-Range Weather Forecasts interim reanalysis), European Union Water and Global Change (WATCH) Watch Forcing data ERA-Interim, Global Forcing Data-Hydro, and The Australian National University spline interpolation) was evaluated towards quantifying gradded precipitation data ensemble uncertainty for hydrologic model input.
Dissertation
Assessing the potential of rainwater harvesting as an adaptation strategy to climate change in Africa
TL;DR: In this paper, it is shown that RWH is a valuable adaptation strategy to climate change in Africa for maize, millet, and sorghum for a number of reasons, including protecting seeds, concentrating nutrients, and reducing long-term soil degradation.
Journal ArticleDOI
Tracing Extremes across Iconic Desert Landscapes: Socio-Ecological and Cultural Responses to Climate Change, Water Scarcity, and Wildflower Superblooms
TL;DR: This article analyzed how climate extremes shape biological, socioeconomic, and cultural life through one of the desert's most iconic ecological events: spring wildflower superblooms, and found that tourist visitation more than doubled during the wettest years, corresponding to wildflower abundance and superbloom media coverage.
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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