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  • 1. Alfieri, Lorenzo
    et al.
    Bisselink, Berny
    Dottori, Francesco
    Naumann, Gustavo
    de Roo, Ad
    Salamon, Peter
    Wyser, Klaus
    SMHI, Research Department, Climate research - Rossby Centre.
    Feyen, Luc
    Global projections of river flood risk in a warmer world2017In: Earth's Future, ISSN 1384-5160, E-ISSN 2328-4277, Vol. 5, no 2, p. 171-182Article in journal (Refereed)
  • 2. Jacob, Daniela
    et al.
    Kotova, Lola
    Teichmann, Claas
    Sobolowski, Stefan P.
    Vautard, Robert
    Donnelly, Chantal
    SMHI, Research Department, Hydrology.
    Koutroulis, Aristeidis G.
    Grillakis, Manolis G.
    Tsanis, Ioannis K.
    Damm, Andrea
    Sakalli, Abdulla
    van Vliet, Michelle T. H.
    Climate Impacts in Europe Under+1.5 degrees C Global Warming2018In: Earth's Future, ISSN 1384-5160, E-ISSN 2328-4277, Vol. 6, no 2, p. 264-285Article in journal (Refereed)
  • 3. Maraun, Douglas
    et al.
    Widmann, Martin
    Gutierrez, Jose M.
    Kotlarski, Sven
    Chandler, Richard E.
    Hertig, Elke
    Wibig, Joanna
    Huth, Radan
    Wilcke, Renate
    SMHI, Research Department, Climate research - Rossby Centre.
    VALUE: A framework to validate downscaling approaches for climate change studies2015In: Earth's Future, ISSN 1384-5160, E-ISSN 2328-4277, Vol. 3, no 1, p. 1-14Article in journal (Refereed)
    Abstract [en]

    VALUE is an open European network to validate and compare downscaling methods for climate change research. VALUE aims to foster collaboration and knowledge exchange between climatologists, impact modellers, statisticians, and stakeholders to establish an interdisciplinary downscaling community. A key deliverable of VALUE is the development of a systematic validation framework to enable the assessment and comparison of both dynamical and statistical downscaling methods. In this paper, we present the key ingredients of this framework. VALUE's main approach to validation is user-focused: starting from a specific user problem, a validation tree guides the selection of relevant validation indices and performance measures. Several experiments have been designed to isolate specific points in the downscaling procedure where problems may occur: what is the isolated downscaling skill? How do statistical and dynamical methods compare? How do methods perform at different spatial scales? Do methods fail in representing regional climate change? How is the overall representation of regional climate, including errors inherited from global climate models? The framework will be the basis for a comprehensive community-open downscaling intercomparison study, but is intended also to provide general guidance for other validation studies.

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