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Journal ArticleDOI

Robust spatially aggregated projections of climate extremes

Erich M. Fischer, +2 more
- 01 Dec 2013 - 
- Vol. 3, Iss: 12, pp 1033-1038
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TLDR
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.

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Citations
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Journal ArticleDOI

Half of the world’s population experience robust changes in the water cycle for a 2 °C warmer world

TL;DR: In this article, the authors synthesize the changes in the water cycle, based on results of the latest climate model intercomparison (CMIP5), and they show that several variables of water cycle such as evaporation and relative humidity, show robust changes over more than 50% of the land area already with an anthropogenic global warming of 1 °C.
Journal ArticleDOI

The relative importance among anthropogenic forcings of land use/land cover change in affecting temperature extremes

TL;DR: In this paper, the authors compared land use forcing with other forcing agents in explaining the simulated historical temperature extreme changes since preindustrial times in the CESM-Last Millennium Ensemble (LME) project.
Journal ArticleDOI

Incremental improvements of 2030 targets insufficient to achieve the Paris Agreement goals

TL;DR: In this article, the authors assess the outcomes of different scenarios of NDC updating that fall short of achieving this 1.5 ∘ C benchmark and find that incremental improvements in reduction targets, even if achieved globally, are insufficient to align collective ambition with the goals of the Paris Agreement.
Journal ArticleDOI

Temperature effects on the spatial structure of heavy rainfall modify catchment hydro-morphological response

TL;DR: In this paper, the sensitivity of the hydro-morphological response to heavy rainfall at the small-scale resolution of minutes and hundreds of meters was investigated, and the results highlight that the morphological components are more sensitive to changes in rainfall spatial structure in comparison to the hydrological components.
Journal ArticleDOI

Modelled biophysical impacts of conservation agriculture on local climates

TL;DR: The implementation of a representation of CA into the Community Earth System Model is implemented and it is shown that the quality of simulated surface energy fluxes improves when including more information on how agricultural land is managed, and that CA should be considered in future climate projections.
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

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

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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