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    Winter Precipitation Patterns in Arctic Alaska Determined from a Blowing-Snow Model and Snow-Depth Observations 

    Source: Journal of Hydrometeorology:;2002:;Volume( 003 ):;issue: 006:;page 646
    Author(s): Liston, Glen E.; Sturm, Matthew
    Publisher: American Meteorological Society
    Abstract: A blowing-snow model (SnowTran-3D) was combined with field measurements of end-of-winter snow depth and density to simulate solid (winter) precipitation, snow transport, and sublimation distributions over a 20?000-km2 ...
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    Revisiting the Global Seasonal Snow Classification: An Updated Dataset for Earth System Applications 

    Source: Journal of Hydrometeorology:;2021:;volume( 022 ):;issue: 011:;page 2917
    Author(s): Sturm, Matthew;Liston, Glen E.
    Publisher: American Meteorological Society
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    Snow–Ground Interface Temperatures in the Kuparuk River Basin, Arctic Alaska: Measurements and Model 

    Source: Journal of Hydrometeorology:;2002:;Volume( 003 ):;issue: 004:;page 377
    Author(s): Taras, Brian; Sturm, Matthew; Liston, Glen E.
    Publisher: American Meteorological Society
    Abstract: Air and snow?ground interface temperatures were measured during two winters at 33 stations spanning the 180-km-long Kuparuk basin in arctic Alaska. Interface temperatures averaged 7.5°C higher than air temperatures and ...
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    A Seasonal Snow Cover Classification System for Local to Global Applications 

    Source: Journal of Climate:;1995:;volume( 008 ):;issue: 005:;page 1261
    Author(s): Sturm, Matthew; Holmgren, Jon; Liston, Glen E.
    Publisher: American Meteorological Society
    Abstract: A new classification system for seasonal snow covers is proposed. It has six classes (tundra, taiga, alpine, maritime, prairie, and ephemeral, each class defined by a unique ensemble of textural and stratigraphic characteristics ...
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    SnowSTAR2002 Transect Reconstruction Using a Multilayered Energy and Mass Balance Snow Model 

    Source: Journal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 005:;page 1151
    Author(s): Shi, Xiaogang; Sturm, Matthew; Liston, Glen E.; Jordan, Rachel E.; Lettenmaier, Dennis P.
    Publisher: American Meteorological Society
    Abstract: The lateral and vertical variability of snow stratigraphy was investigated through the comparison of the measured profiles of snow density, temperature, and grain size obtained during the Snow Science Traverse?Alaska Region ...
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    Northwest Territories and Nunavut Snow Characteristics from a Subarctic Traverse: Implications for Passive Microwave Remote Sensing 

    Source: Journal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 002:;page 448
    Author(s): Derksen, Chris; Silis, Arvids; Sturm, Matthew; Holmgren, Jon; Liston, Glen E.; Huntington, Henry; Solie, Daniel
    Publisher: American Meteorological Society
    Abstract: During April 2007, a coordinated series of snow measurements was made across the Northwest Territories and Nunavut, Canada, during a snowmobile traverse from Fairbanks, Alaska, to Baker Lake, Nunavut. The purpose of the ...
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    Estimating Snow Water Equivalent Using Snow Depth Data and Climate Classes 

    Source: Journal of Hydrometeorology:;2010:;Volume( 011 ):;issue: 006:;page 1380
    Author(s): Sturm, Matthew; Taras, Brian; Liston, Glen E.; Derksen, Chris; Jonas, Tobias; Lea, Jon
    Publisher: American Meteorological Society
    Abstract: In many practical applications snow depth is known, but snow water equivalent (SWE) is needed as well. Measuring SWE takes ?20 times as long as measuring depth, which in part is why depth measurements outnumber SWE ...
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    Snow–Shrub Interactions in Arctic Tundra: A Hypothesis with Climatic Implications 

    Source: Journal of Climate:;2001:;volume( 014 ):;issue: 003:;page 336
    Author(s): Sturm, Matthew; Holmgren, Jon; McFadden, Joseph P.; Liston, Glen E.; Chapin, F. Stuart; Racine, Charles H.
    Publisher: American Meteorological Society
    Abstract: In the Arctic, where wind transport of snow is common, the depth and insulative properties of the snow cover can be determined as much by the wind as by spatial variations in precipitation. Where shrubs are more abundant ...
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