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  • 1.
    Olsson, Jonas
    et al.
    SMHI, Research Department, Hydrology.
    Gidhagen, Lars
    SMHI, Research Department, Air quality.
    Gamerith, Valentin
    Gruber, Gunter
    Hoppe, Holger
    Kutschera, Peter
    Downscaling of Short-Term Precipitation from Regional Climate Models for Sustainable Urban Planning2012In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 4, no 5, p. 866-887Article in journal (Refereed)
    Abstract [en]

    A framework for downscaling precipitation from RCM projections to the high resolutions in time and space required in the urban hydrological climate change impact assessment is outlined and demonstrated. The basic approach is that of Delta Change, developed for both continuous and event-based applications. In both cases, Delta Change Factors (DCFs) are calculated which represent the expected future change of some key precipitation statistics. In the continuous case, short-term precipitation from climate projections are analysed in order to estimate DCFs associated with different percentiles in the frequency distribution of non-zero intensities. The DCFs may then be applied to an observed time series, producing a realisation of a future time series. The event-based case involves downscaling of Intensity-Duration-Frequency (IDF) curves based on extreme value analysis of annual maxima using the Gumbel distribution. The resulting DCFs are expressed as a function of duration and frequency (i.e., return period) and may be used to estimate future design storms. The applications are demonstrated in case studies focusing on the expected changes in short-term precipitation statistics until 2100 in the cities of Linz (Austria) and Wuppertal (Germany). The downscaling framework is implemented in the climate service developed within the EU-project SUDPLAN.

  • 2. Verma, Siddhartha
    et al.
    Bartosova, Alena
    SMHI, Research Department, Hydrology.
    Markus, Momcilo
    Cooke, Richard
    Um, Myoung-Jin
    Park, Daeryong
    Quantifying the Role of Large Floods in Riverine Nutrient Loadings Using Linear Regression and Analysis of Covariance2018In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 10, no 8, article id 2876Article in journal (Refereed)
1 - 2 of 2
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