Blar i forfatter "Solbakken, Kine"

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    • Evaluation of surface wind using WRF in complex terrain: Atmospheric input data and grid spacing 

      Solbakken, Kine; Birkelund, Yngve; Samuelsen, Eirik Mikal (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-09-04)
      This study evaluates a numerical weather prediction model as a tool for wind resource assessment in complex terrain and how the simulations are affected by the selection of initial and boundary conditions and various grid resolutions. Two global reanalyses, ERA-Interim and ERA5, and four grid resolutions, 27 km, 9 km, 3 km and 1 km, have been considered. The simulations have been compared to ...

    • Evaluation of the Weather Research and Forecasting (WRF) model with respect to wind in complex terrain 

      Solbakken, Kine; Birkelund, Yngve (Journal article; Tidsskriftartikkel; Peer reviewed, 2018)
      In this study the performance of the Weather Research and Forecast (WRF) model in a complex and coastal terrain has been evaluated with focus on wind resource assessment. The study area is a small community on the northern part of the island Senja, Norway. The community, with fishery and seafood as its main industry, is being limited by poor grid connection. One of the solutions is to increase ...

    • Power potential of Rystraumen, Norway 

      Solbakken, Kine (Master thesis; Mastergradsoppgave, 2014-03-14)
      The maximum power potential of the tidal current Rystraumen close to Troms , Norway, is assessed both theoretically and from a depth-integrated numerical model (FVCOM). For the theoretical estimate of the maximum power potential, the topography is simplified to the situation in which the channel connects a large basin, unaffected by the energy extraction, to a closed bay. A set of governing equations ...

    • Wind speed and direction predictions by WRF and WindSim coupling over Nygårdsfjell 

      Bilal, Muhammad; Birkelund, Yngve; Solbakken, Kine (Journal article; Tidsskriftartikkel; Peer reviewed, 2016)
      In this study, the performance of the mesoscale meteorological Weather Research and Forecast (WRF) model coupled with the microscale computational fluid dynamics based model WindSim is investigated and compared to the performance of WRF alone. The two model set-ups, WRF and WRF-WindSim, have been tested on three high-wind events in February, June and October, over a complex terrain at the ...