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dc.contributor.authorNarapusetty, Balachandrudu
dc.date.accessioned2015-09-02T20:48:55Z
dc.date.available2015-09-02T20:48:55Z
dc.date.issued2005-08
dc.identifier.urihttp://hdl.handle.net/11122/5920
dc.descriptionThesis (M.S.) University of Alaska Fairbanks, 2005en_US
dc.description.abstractThe Hydro-Thermodynamic Soil- vegetation Scheme (HTSYS), coupled in a two-way mode with the PennState/National Center for Atmospheric Research (NCAR) Mesoscale Meteorological Model generation 5 (MM5), has been evaluated for a 5 day typical snow-melt period using the Baltic Sea experiment meteorological data center's soil temperature, snow depth, and precipitation datasets. The HTSVS-MM5 evaluation investigates the coupled system's sensitivity to two cloud models and two radiation models, with their cross effects presented along with skill scores for snow depth changes. The coupled model satisfactorily predicts the soil temperature diurnal course cycles, changes in the snow depths, and accumulated precipitation. HTSVS's soil model has been further tested and evaluated in an offline mode for the advanced numerical treatment for the Partial Differential Equations (PDEs) using soil temperature datasets from three sites at Council, Alaska. A Galerkin Weak Finite Element (GWFE) method was tested and evaluated for the numerical treatment of PDEs and the predictions were compared against the existing Crank-Nicholson finite differences scheme (CNFD). GWFE solutions exhibit a remarkable soil temperature predictability, better capture the temperature peaks, and yield non-diffuse and non-oscillatory solutions for relatively high convection dominated regimes, while CNFD performs comparably well in diffusion dominated regimes with a lower computational burden.en_US
dc.language.isoen_USen_US
dc.titleEvaluation of the hydro-thermodynamic soil-vegetation scheme on the basis of observations and a Galerkin type finite element numerical schemeen_US
dc.typeThesisen_US
dc.type.degreemsen_US
dc.identifier.departmentProgram in Atmospheric Sciencesen_US
refterms.dateFOA2020-03-13T01:26:07Z


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