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    Dynamic Modeling of the Spatial Distribution of Precipitation in Remote Mountainous Areas

    Source: Monthly Weather Review:;1993:;volume( 121 ):;issue: 004::page 1195
    Author:
    Barros, Ana P.
    ,
    Lettenmaier, Dennis P.
    DOI: 10.1175/1520-0493(1993)121<1195:DMOTSD>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Precipitation in remote mountainous areas dominates the water balance of many water-short areas of the globe, such as western North America. The inaccessibility of such environments prevents adequate measurement of the spatial distribution of precipitation and, hence, direct estimation of the water balance from observations of precipitation and runoff. Resolution constraints in atmospheric models can likewise result in large biases in prediction of the water balance for grid cells that include highly diverse topography. Modeling of the advection of moisture over topographic barriers at a spatial scale sufficient to resolve the dominant topographic features offers one method of better predicting the spatial distribution of precipitation in mountainous areas. A model is described herein that simulates Lagrangian transport of moist static energy and total water through a 3D finite-element grid, where precipitation is the only scavenging agent of both variables. The model is aimed primarily at the reproduction of the properties of high-elevation precipitation for long periods of time, but it operates at a time scale (during storm periods) of 10 min to 1 h and, therefore, is also able to reproduce the distribution of storm precipitation with an accuracy that may make it appropriate for the forecasting of extreme events. The model was tested by application to the Olympic Mountains, Washington, for a period of eight years (1967?74). Areal average precipitation, estimated through use of seasonal and annual runoff, was reproduced with errors in the 10%?15% range. Similar accuracy was achieved using point estimates of monthly precipitation from snow courses and low-elevation precipitation gauges.
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      Dynamic Modeling of the Spatial Distribution of Precipitation in Remote Mountainous Areas

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4203037
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    • Monthly Weather Review

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    contributor authorBarros, Ana P.
    contributor authorLettenmaier, Dennis P.
    date accessioned2017-06-09T16:09:19Z
    date available2017-06-09T16:09:19Z
    date copyright1993/04/01
    date issued1993
    identifier issn0027-0644
    identifier otherams-62174.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4203037
    description abstractPrecipitation in remote mountainous areas dominates the water balance of many water-short areas of the globe, such as western North America. The inaccessibility of such environments prevents adequate measurement of the spatial distribution of precipitation and, hence, direct estimation of the water balance from observations of precipitation and runoff. Resolution constraints in atmospheric models can likewise result in large biases in prediction of the water balance for grid cells that include highly diverse topography. Modeling of the advection of moisture over topographic barriers at a spatial scale sufficient to resolve the dominant topographic features offers one method of better predicting the spatial distribution of precipitation in mountainous areas. A model is described herein that simulates Lagrangian transport of moist static energy and total water through a 3D finite-element grid, where precipitation is the only scavenging agent of both variables. The model is aimed primarily at the reproduction of the properties of high-elevation precipitation for long periods of time, but it operates at a time scale (during storm periods) of 10 min to 1 h and, therefore, is also able to reproduce the distribution of storm precipitation with an accuracy that may make it appropriate for the forecasting of extreme events. The model was tested by application to the Olympic Mountains, Washington, for a period of eight years (1967?74). Areal average precipitation, estimated through use of seasonal and annual runoff, was reproduced with errors in the 10%?15% range. Similar accuracy was achieved using point estimates of monthly precipitation from snow courses and low-elevation precipitation gauges.
    publisherAmerican Meteorological Society
    titleDynamic Modeling of the Spatial Distribution of Precipitation in Remote Mountainous Areas
    typeJournal Paper
    journal volume121
    journal issue4
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1993)121<1195:DMOTSD>2.0.CO;2
    journal fristpage1195
    journal lastpage1214
    treeMonthly Weather Review:;1993:;volume( 121 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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