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Spatial variations of sea-level rise and impacts: An application of DIVA

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An Erratum to this article was published on 24 October 2013

Abstract

Due to complexities of creating sea-level rise scenarios, impacts of climate-induced sea-level rise are often produced from a limited number of models assuming a global uniform rise in sea level. A greater number of models, including those with a pattern reflecting regional variations would help to assure reliability and a range of projections, indicating where models agree and disagree. This paper determines how nine new patterned-scaled sea-level rise scenarios (plus the uniform and patterned ensemble mean rises) influence global and regional coastal impacts (wetland loss, dry land loss due to erosion and the expected number of people flooded per year by extreme sea levels). The DIVA coastal impacts model was used under an A1B scenario, and assumed defences were not upgraded as conditions evolved. For seven out of nine climate models, impacts occurred at a proportional rate to global sea-level rise. For the remaining two models, higher than average rise in sea level was projected in northern latitudes or around populated coasts thus skewing global impact projections compared with the ensemble global mean. Regional variability in impacts were compared using the ensemble mean uniform and patterned scenarios: The largest relative difference in impacts occurred around the Mediterranean coast, and the largest absolute differences around low-lying populated coasts, such as south, south-east and east Asia. Uniform projections of sea-level rise impacts remain a useful method to determine global impacts, but improved regional scale models of sea-level rise, particularly around semi-enclosed seas and densely populated low-lying coasts will provide improved regional impact projections and a characterisation of their uncertainties.

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Abbreviations

CIS:

Commonwealth of Independent States

CMIP3:

Coupled Model Intercomparison Project.

DIVA:

Dynamic Interactive Vulnerability Assessment

AOGCM:

Atmosphere–ocean General Circulation Model

AR4:

Fourth Assessment Report

ASMITA:

Aggregated Scale Morphological Interaction between a Tidal basin and the Adjacent coast

GIA:

Glacial isostatic adjustment

GLOBE:

Global Land One km Base Elevation project

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Authors and Affiliations

  1. Faculty of Engineering and the Environment and Tyndall Centre for Climate Change Research, University of Southampton, University Road, Highfield, Southampton, SO17 1BJ, UK

    Sally Brown & Robert J Nicholls

  2. Department of Meteorology, University of Reading, Met Office Hadley Centre (Reading Unit), Earley Gate, P.O. Box 243, Reading, RG6 6BB, UK

    Jason A Lowe

  3. Adaptation and Social Learning, Global Climate Forum e.V. (GCF), Neue Promenade 6, 10178, Berlin, Germany

    Jochen Hinkel

  4. Transdisciplinary Concepts and Methods, Potsdam Institute for Climate Impact Research (PIK), P.O. Box 601203, 14412, Potsdam, Germany

    Jochen Hinkel

Authors
  1. Sally Brown
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  2. Robert J Nicholls
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  3. Jason A Lowe
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  4. Jochen Hinkel
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Corresponding author

Correspondence to Sally Brown.

Additional information

This article is part of a Special Issue on “The QUEST-GSI Project” edited by Nigel Arnell.

An erratum to this article is available at http://dx.doi.org/10.1007/s10584-013-0991-1.

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Brown, S., Nicholls, R.J., Lowe, J.A. et al. Spatial variations of sea-level rise and impacts: An application of DIVA. Climatic Change 134, 403–416 (2016). https://doi.org/10.1007/s10584-013-0925-y

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  • DOI: https://doi.org/10.1007/s10584-013-0925-y

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