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    Seasonal Snow Accumulation, Melt and Water Input—A New England Model

    Source: Journal of Applied Meteorology:;1976:;volume( 015 ):;issue: 007::page 717
    Author:
    Hendrick, Robert L.
    ,
    DeAngelis, Roger J.
    DOI: 10.1175/1520-0450(1976)015<0717:SSAMAW>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Two geographic parameters, elevation and latitude, account for much of the spatial variation of temperature and precipitation over New England during the winter and spring seasons. Since temperature controls the amount of precipitation which falls as snow and is highly related to snowmelt, a spatial seasonal climatology of snow accumulation, melt and water input can be derived by modeling the elevation and latitude effects on temperature and precipitation distributions. Such a model is developed primarily from Agricultural Research Service Sleepers River Watershed data in northern Vermont. Based only on predictor station temperature and precipitation observations and on elevation and latitude differences between predictor and predictand locations, snowpack accumulation, melt and water input are estimated for 10-day time steps through the snow accumulation and melt season (2 November through 30 May). Using a low-elevation station to estimate snowpack at higher elevations, model estimations of snowpack water equivalent represent a 46% improvement over climatological averages. Comparable skill is obtained in specifying water input. Skill diminishes with increasing predictor-predictand distance to near zero at about 100 mi (161 km). This model enables much of the climatic and 10-day synoptic information on snowpack accumulation, melt and water input over unobserved watersheds to be estimated from ordinary National Weather Service network temperature and precipitation observations.
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      Seasonal Snow Accumulation, Melt and Water Input—A New England Model

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4232559
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    contributor authorHendrick, Robert L.
    contributor authorDeAngelis, Roger J.
    date accessioned2017-06-09T17:38:39Z
    date available2017-06-09T17:38:39Z
    date copyright1976/07/01
    date issued1976
    identifier issn0021-8952
    identifier otherams-9107.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4232559
    description abstractTwo geographic parameters, elevation and latitude, account for much of the spatial variation of temperature and precipitation over New England during the winter and spring seasons. Since temperature controls the amount of precipitation which falls as snow and is highly related to snowmelt, a spatial seasonal climatology of snow accumulation, melt and water input can be derived by modeling the elevation and latitude effects on temperature and precipitation distributions. Such a model is developed primarily from Agricultural Research Service Sleepers River Watershed data in northern Vermont. Based only on predictor station temperature and precipitation observations and on elevation and latitude differences between predictor and predictand locations, snowpack accumulation, melt and water input are estimated for 10-day time steps through the snow accumulation and melt season (2 November through 30 May). Using a low-elevation station to estimate snowpack at higher elevations, model estimations of snowpack water equivalent represent a 46% improvement over climatological averages. Comparable skill is obtained in specifying water input. Skill diminishes with increasing predictor-predictand distance to near zero at about 100 mi (161 km). This model enables much of the climatic and 10-day synoptic information on snowpack accumulation, melt and water input over unobserved watersheds to be estimated from ordinary National Weather Service network temperature and precipitation observations.
    publisherAmerican Meteorological Society
    titleSeasonal Snow Accumulation, Melt and Water Input—A New England Model
    typeJournal Paper
    journal volume15
    journal issue7
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1976)015<0717:SSAMAW>2.0.CO;2
    journal fristpage717
    journal lastpage727
    treeJournal of Applied Meteorology:;1976:;volume( 015 ):;issue: 007
    contenttypeFulltext
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