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    Sensitivity of Northern Great Plains Convection Forecasts to Upstream and Downstream Forecast Errors

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 006::page 2141
    Author:
    Berman, Jeremy D.
    ,
    Torn, Ryan D.
    ,
    Romine, Glen S.
    ,
    Weisman, Morris L.
    DOI: 10.1175/MWR-D-16-0353.1
    Publisher: American Meteorological Society
    Abstract: he role of earlier forecast errors on subsequent convection forecasts is evaluated for a northern Great Plains severe convective event on 11?12 June 2013 during the Mesoscale Predictability Experiment (MPEX) by applying the ensemble-based sensitivity technique to Weather Research and Forecasting (WRF) Model ensemble forecasts with explicit convection. This case was characterized by two distinct modes of convection located 150 km apart in western Nebraska and South Dakota, which formed on either side of an axis of high, lower-tropospheric equivalent potential temperature . Convection forecasts over both regions are found to be sensitive to the position of this axis. The convection in Nebraska is sensitive to the position of the western edge of the axis near an upstream dryline, which modulates the preconvective prior to the diurnal maximum. In contrast, the convection in South Dakota is sensitive to the position of the eastern edge of the axis near a cold front, which also modulates the preconvective in that location. The position of the axis is modulated by the positions of both upstream and downstream mid- to upper-tropospheric potential vorticity anomalies, and can be traced backward in time to the initial conditions. Dropsondes sampling the region prior to convective initiation indicate that ensemble members with better representations of upstream conditions in sensitive regions are associated with better convective forecasts over Nebraska.
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      Sensitivity of Northern Great Plains Convection Forecasts to Upstream and Downstream Forecast Errors

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    contributor authorBerman, Jeremy D.
    contributor authorTorn, Ryan D.
    contributor authorRomine, Glen S.
    contributor authorWeisman, Morris L.
    date accessioned2017-06-09T17:34:34Z
    date available2017-06-09T17:34:34Z
    date copyright2017/06/01
    date issued2017
    identifier issn0027-0644
    identifier otherams-87433.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231102
    description abstracthe role of earlier forecast errors on subsequent convection forecasts is evaluated for a northern Great Plains severe convective event on 11?12 June 2013 during the Mesoscale Predictability Experiment (MPEX) by applying the ensemble-based sensitivity technique to Weather Research and Forecasting (WRF) Model ensemble forecasts with explicit convection. This case was characterized by two distinct modes of convection located 150 km apart in western Nebraska and South Dakota, which formed on either side of an axis of high, lower-tropospheric equivalent potential temperature . Convection forecasts over both regions are found to be sensitive to the position of this axis. The convection in Nebraska is sensitive to the position of the western edge of the axis near an upstream dryline, which modulates the preconvective prior to the diurnal maximum. In contrast, the convection in South Dakota is sensitive to the position of the eastern edge of the axis near a cold front, which also modulates the preconvective in that location. The position of the axis is modulated by the positions of both upstream and downstream mid- to upper-tropospheric potential vorticity anomalies, and can be traced backward in time to the initial conditions. Dropsondes sampling the region prior to convective initiation indicate that ensemble members with better representations of upstream conditions in sensitive regions are associated with better convective forecasts over Nebraska.
    publisherAmerican Meteorological Society
    titleSensitivity of Northern Great Plains Convection Forecasts to Upstream and Downstream Forecast Errors
    typeJournal Paper
    journal volume145
    journal issue6
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-16-0353.1
    journal fristpage2141
    journal lastpage2163
    treeMonthly Weather Review:;2017:;volume( 145 ):;issue: 006
    contenttypeFulltext
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