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
Large ensemble climate model simulations: introduction, overview, and future prospects for utilising multiple types of large ensemble
TL;DR: It is shown that the GCM can be used to investigate broad-scale patterns and can be directly compared to the nat-GCM to attribute forced changes to either anthropogenic emissions or volcanoes, and one of the key advantages of SMILEs is utilised.
Journal ArticleDOI
Temperature and precipitation extremes under current, 1.5 °C and 2.0 °C global warming above pre-industrial levels over Botswana, and implications for climate change vulnerability
TL;DR: In this paper, the authors analysed projected changes in temperature and precipitation extremes over Botswana at 1.0, 1.5 and 2.0 °C global warming, relative to preindustrial, for the ensemble median: (a) country average Warm Spell Duration Index (WSDI) ensemble median increases ensemble range by 80, 65, 62 days per year across different climatic zones.
Journal ArticleDOI
Climate information websites: an evolving landscape
TL;DR: This study considers the context of CIW growth, and reviews a representative sample of CIWs to draw out key issues for consideration in CIW development, and assess content, function, and use‐case value through a dual approach of a typology and user experience narratives to evaluate the general efficacy of a CIW.
Journal ArticleDOI
Anthropogenic influence on extreme precipitation over global land areas seen in multiple observational datasets.
TL;DR: In this article, a physically interpretable anthropogenic impact on extreme precipitation is detected in global observational data sets, using machine learning methods that can account for model uncertainty and identify the time evolution of the spatial patterns.
Journal ArticleDOI
Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques
Auroop R. Ganguly,Evan Kodra,Ankit Agrawal,Arindam Banerjee,Shyam Boriah,Sn N. Chatterjee,So O. Chatterjee,Alok Choudhary,Debasish Das,James H. Faghmous,Poulomi Ganguli,Subimal Ghosh,Katharine Hayhoe,C. Hays,William Hendrix,Qiang Fu,Jaya Kawale,Devashish Kumar,Vipin Kumar,Wei-keng Liao,Stefan Liess,R. Mawalagedara,Varun Mithal,Robert J. Oglesby,Kaustubh Salvi,Peter K. Snyder,Karsten Steinhaeuser,D. Wang,Donald J. Wuebbles +28 more
TL;DR: In this article, the authors explore the possibility that physically cognizant mining of massive climate data may lead to significant advances in generating credible predictive insights about climate extremes and in turn translating them to actionable metrics and information for adaptation and policy.
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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