| Summary: | The goal of this study is to improve the prediction capacity of mesoscale to large scale hydrological models by introducing a small-scale parameterization scheme, which better represents the spatial heterogeneity of soil properties and vegetation cover in the Alaskan subarctic. Fine resolution landscape model results along with improvement scenarios are included int his dataset. This dataset also comprises of model input forcing data and output fluxes and figures of the primary results are included. Details about the data, modeling, and figure can be found in the PhD dissertation' DEVELOPMENT OF A PARAMETERIZATION FOR MESOSCALE HYDROLOGICAL MODELING AND APPLICATION TO LANDSCAPE AND CLIMATE CHANGE IN THE INTERIOR ALASKA BOREAL FOREST ECOSYSTEM' by Abraham Endalamaw, University of Alaska Fairbanks. Questions regarding any data can be directed to Bob Bolton (bbolton@iarc.uaf.edu) or Abraham Endalamaw (amendalamaw@alaska.edu) .
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