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  • 1.
    Dieterich, Christian
    et al.
    SMHI, Research Department, Oceanography.
    Schimanke, Semjon
    SMHI, Research Department, Oceanography.
    Wang, Shiyu
    SMHI, Research Department, Climate research - Rossby Centre.
    Väli, Germo
    SMHI, Research Department, Oceanography.
    Liu, Ye
    SMHI, Research Department, Oceanography.
    Hordoir, Robinson
    SMHI, Research Department, Oceanography.
    Höglund, Anders
    SMHI, Research Department, Oceanography.
    Meier, Markus
    SMHI, Research Department, Oceanography.
    Evaluation of the SMHI coupled atmosphere-ice-ocean model RCA4-NEMO2013Report (Other academic)
    Abstract [en]

    AbstractThe regional, coupled atmosphere-ice-ocean model RCA4-NEMO developed at the SMHI is evaluated on the basis of an ERA40 hindcast. While the development of the regional climate model is continuing a first assessment is presented here to allow for an orientation about the status guo. RCA4-NEMO in its present form consists of two model components. The regional atmosphere model RCA4 covers the whole of Europe and is interactvely coupled to a North Sea and Baltic Sea ice-ocean model based on NEMO. RCA4-NEMO is currently being used to downscale CMIP5 scenarios for the North Sea and Baltic Sea region for this century. As a part of the validation of RCA4-NEMO we present an analysis and discussion of the hindcast period 1970-1999. The model realization is compared to observational records. Near surface temperatures and heat fluxes compare reasonably well with records of in-situ measurments and satellite derived estimates. For salinities and freshwater fluxes the agreement with observations in not satisfactory yet. The momentum fluxes transferred from the atmosphere to the ice-ocean model are identified as on of the sensitive processes in the coupling of both model components. Except for the freshwater exchange between atmosphere and ocean the climatological near surface properties and corresponding fluxes compare well with climatological estimates for the period 1970-1999.

  • 2.
    Meier, Markus
    et al.
    SMHI, Research Department, Oceanography.
    Eilola, Kari
    SMHI, Research Department, Oceanography.
    Almroth-Rosell, E.
    Schimanke, Semjon
    SMHI, Research Department, Oceanography.
    Kniebusch, M.
    Höglund, Anders
    SMHI, Research Department, Oceanography.
    Pemberton, Per
    SMHI, Research Department, Oceanography.
    Liu, Ye
    SMHI, Research Department, Oceanography.
    Väli, Germo
    SMHI, Research Department, Oceanography.
    Saraiva, S.
    Disentangling the impact of nutrient load and climate changes on Baltic Sea hypoxia and eutrophication since 1850 (vol 53, pg 1145, 2019)2019In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894, Vol. 53, no 1-2, p. 1167-1169Article in journal (Refereed)
  • 3.
    Meier, Markus
    et al.
    SMHI, Research Department, Oceanography.
    Eilola, Kari
    SMHI, Research Department, Oceanography.
    Almroth-Rosell, Elin
    SMHI, Research Department, Oceanography.
    Schimanke, Semjon
    SMHI, Research Department, Oceanography.
    Kniebusch, M.
    Höglund, Anders
    SMHI, Research Department, Oceanography.
    Pemberton, Per
    SMHI, Research Department, Oceanography.
    Liu, Ye
    SMHI, Research Department, Oceanography.
    Väli, Germo
    SMHI, Research Department, Oceanography.
    Saraiva, S.
    Disentangling the impact of nutrient load and climate changes on Baltic Sea hypoxia and eutrophication since 18502019In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894, Vol. 53, no 1-2, p. 1145-1166Article in journal (Refereed)
  • 4.
    Väli, Germo
    et al.
    SMHI, Research Department, Oceanography.
    Meier, Markus
    SMHI, Research Department, Oceanography.
    Elken, Jüri
    Marine Systems Institute at Tallinn University of Technology, Tallinn, Estonia.
    Simulated variations of the Baltic Sea halocline during 1961-20072012Report (Other academic)
    Abstract [en]

    The variations in the Baltic Sea salinity and the mean halocline depth during 1961-2007 are studied using Rossby Centre Ocean model. The largest trend in the monthly mean salinity averaged over the top 15 m was found in the Gulf of Riga and Baltic proper, while the trend in the northernmost part was non-existant. A period with shallow halocline in the Baltic Sea during 1970-1975 was identified and a period with deep halocline during 1990-1995 with the difference exceeding morethan 15 m in the Baltic proper between the two time-periods. Model simulation indicated that the mean surface salinity in the Baltic Sea is spatially controlled by the accumulated river runoff, while the mean salinity below the halocline in the Baltic proper by the mean zonal and absolute wind speed. The halocline depth in the Baltic Sea is affected significantly by the freshwater content and absolute wind speed. The impact of the mean zonal wind speed to the mean halocline depth in the Baltic proper is moderate, while the impact of runoff is low.

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