View Item 
        •   Utrecht University Student Theses Repository Home
        • UU Theses Repository
        • Theses
        • View Item
        •   Utrecht University Student Theses Repository Home
        • UU Theses Repository
        • Theses
        • View Item
        JavaScript is disabled for your browser. Some features of this site may not work without it.

        Browse

        All of UU Student Theses RepositoryBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

        Coupling an ice sheet model to EC-Earth

        Thumbnail
        View/Open
        jlent_mscthesis_ec-earthcoupling_v1.01.pdf (2.112Mb)
        Publication date
        2013
        Author
        Lent, J.H.A.M. van
        Metadata
        Show full item record
        Summary
        The evolution of ice sheets is determined by climate and the climate is affected by the presence of the ice sheet. For climate models, this means that a coupling of ice sheets and climate is needed in order to understand both. However, the difference in time scales in which both evolve poses a difficulty for coupling the two. Ice sheets have a response time of millenia, while climate models typically assess climate problems on a much shorter scale. Usually, this issue is solved by prescribing the ice sheets in climate models, but on intermediate timescales it is not a priori obvious whether ice sheet coupling can be neglected. In this project, a one-way coupling from the ESM EC-Earth to the GRICE Greenland ice sheet model is achieved. As surface mass balance (SMB) is not available as output from EC-Earth data, a method of calculating the SMB from available EC-Earth output data is presented. Here, the temperature and precipitation fields from EC-Earth, which were obtained from a historic run (1850-2000) and the RCP4.5 radiative forcing scenario (2000-2100) are used to force the SMB over the period 1850-2100. For a past-glacial climate forcing required to spin-up the model, a global temperature record was used as a perturbation. SMB is calculated by separating between accumulation and run-off, using EC-Earth data for accumulation and parameterizing the run-off as a height-dependent perturbation of a reference field, using a modification of the SMB gradient method from Helsen et al. (2012). A climate perturbation is introduced by modifying the surface height with temperature. Following this method, a reconstruction of present-day climate is presented, as well as projections for the evolution of the Greenland ice sheet in the 21st century. The model predicts a best estimate for global sea-level rise of 79 mm, with a range between 61 and 105 mm. This is within the range of 0-17 cm found by Graversen et al. (2011).
        URI
        https://studenttheses.uu.nl/handle/20.500.12932/12580
        Collections
        • Theses
        Utrecht university logo