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      The INTENSE project: using observations and models to understand the past, present and future of sub-daily rainfall extremes

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          Abstract

          <p><strong>Abstract.</strong> Historical in situ sub-daily rainfall observations are essential for the understanding of short-duration rainfall extremes but records are typically not readily accessible and data are often subject to errors and inhomogeneities. Furthermore, these events are poorly quantified in projections of future climate change making adaptation to the risk of flash flooding problematic. Consequently, knowledge of the processes contributing to intense, short-duration rainfall is less complete compared with those on daily timescales. The INTENSE project is addressing this global challenge by undertaking a data collection initiative that is coupled with advances in high-resolution climate modelling to better understand key processes and likely future change. The project has so far acquired data from over 23<span class="thinspace"></span>000 rain gauges for its global sub-daily rainfall dataset (GSDR) and has provided evidence of an intensification of hourly extremes over the US. Studies of these observations, combined with model simulations, will continue to advance our understanding of the role of local-scale thermodynamics and large-scale atmospheric circulation in the generation of these events and how these might change in the future.</p>

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          Constraints on future changes in climate and the hydrologic cycle.

          What can we say about changes in the hydrologic cycle on 50-year timescales when we cannot predict rainfall next week? Eventually, perhaps, a great deal: the overall climate response to increasing atmospheric concentrations of greenhouse gases may prove much simpler and more predictable than the chaos of short-term weather. Quantifying the diversity of possible responses is essential for any objective, probability-based climate forecast, and this task will require a new generation of climate modelling experiments, systematically exploring the range of model behaviour that is consistent with observations. It will be substantially harder to quantify the range of possible changes in the hydrologic cycle than in global-mean temperature, both because the observations are less complete and because the physical constraints are weaker.
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            Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset

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              • Record: found
              • Abstract: found
              • Article: not found

              Understanding the regional pattern of projected future changes in extreme precipitation

              Regional projections of daily extreme precipitation are uncertain, but can be decomposed into thermodynamic and dynamic contributions to improve understanding. While thermodynamics alone uniformly increase extreme precipitation, dynamical processes introduce regional variations.
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                Author and article information

                Journal
                Advances in Science and Research
                Adv. Sci. Res.
                Copernicus GmbH
                1992-0636
                2018
                June 19 2018
                : 15
                : 117-126
                Article
                10.5194/asr-15-117-2018
                c38b83b9-0881-49af-baa4-c70157ae87c3
                © 2018

                https://creativecommons.org/licenses/by/4.0/

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