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Filters: Tags: Climate and Ecosystem Modeling (X) > partyWithName: Alaska CSC (X)

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Abstract: We present an inverse modeling approach for reconstructing the effective thermal conductivity of snow on a daily basis using air temperature, ground temperature and snow depth measurements. The method is applied to four sites in Alaska. To validate the method we used measured snow densities and snow water equivalents. The modeled thermal conductivities of snow for the two interior Alaska sites have relatively low values and reach their maximum near the end of the snow season, while the conductivities at the two sites on the Alaskan North Slope are higher and reach their maximum earlier in the snow season. We show that the reconstructed daily thermal conductivities allow for more accurate modeling of ground...
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Understanding how snow will change over the coming century is vital in understanding environmental changes across Alaska. Changes in snow are also economically important to many sectors, from recreation to commercial fishing. An earlier set of rain-snow partitioning and snowfall equivalent projections based on downscaled CMIP3 temperature and precipitation projections have been used extensively. In this project, we developed updated projections for the fraction of precipitation days that are snowy (vs. rainy) and the amount of precipitation that likely falls as snow to be consistent with the newest downscaled temperature and precipitation released by SNAP. The outputs are decadal monthly averages. The updated snow...


    map background search result map search result map The Effect of Snow: How to Better Model Ground Surface Temperatures Alaska Snowpack Response to Climate Change: Statewide Snowfall Equivalent and Snowpack Water Scenarios The Effect of Snow: How to Better Model Ground Surface Temperatures Alaska Snowpack Response to Climate Change: Statewide Snowfall Equivalent and Snowpack Water Scenarios