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    Flash Flood Forecasting for Small Urban Watersheds in the Baltimore Metropolitan Region

    Source: Weather and Forecasting:;2007:;volume( 022 ):;issue: 006::page 1331
    Author:
    Javier, Julie Rose N.
    ,
    Smith, James A.
    ,
    Meierdiercks, Katherine L.
    ,
    Baeck, Mary Lynn
    ,
    Miller, Andrew J.
    DOI: 10.1175/2007WAF2006036.1
    Publisher: American Meteorological Society
    Abstract: The utility of distributed hydrologic models in combination with high-resolution Weather Surveillance Radar-1988 Doppler (WSR-88D) rainfall estimates for flash flood forecasting in urban drainage basins is examined through model simulations of 10 flood events in the 14.3 km2 Dead Run watershed of Baltimore County, Maryland. The hydrologic model consists of a simple infiltration model and a geomorphological instantaneous unit hydrograph?based representation of hillslope and channel response. Analyses are based on high-resolution radar rainfall estimates from the Sterling, Virginia, WSR-88D and observations from a nested network of 6 stream gauges in the Dead Run watershed and a network of 17 rain gauge stations in Dead Run. For the three largest flood peaks in Dead Run, including the record flood on 7 July 2004, hydrologic model forecasts do not capture the pronounced attenuation of flood peaks. Hydraulic controls imposed by valley bottom constrictions associated with bridges and bridge abutments are a dominant element of the extreme flood response of small urban watersheds. Model analyses suggest that a major limitation on the accuracy of flash flood forecasting in urban watersheds is imposed by storm water management infrastructure. Model analyses also suggest that there is potential for improving model forecasts through the utilization of information on initial soil moisture storage. Errors in the rainfall field, especially those linked to bias correction, are the largest source of uncertainty in quantitative flash flood forecasting. Bias correction of radar rainfall estimates is an important element of flash flood forecasting systems.
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      Flash Flood Forecasting for Small Urban Watersheds in the Baltimore Metropolitan Region

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4207736
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    contributor authorJavier, Julie Rose N.
    contributor authorSmith, James A.
    contributor authorMeierdiercks, Katherine L.
    contributor authorBaeck, Mary Lynn
    contributor authorMiller, Andrew J.
    date accessioned2017-06-09T16:21:30Z
    date available2017-06-09T16:21:30Z
    date copyright2007/12/01
    date issued2007
    identifier issn0882-8156
    identifier otherams-66403.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4207736
    description abstractThe utility of distributed hydrologic models in combination with high-resolution Weather Surveillance Radar-1988 Doppler (WSR-88D) rainfall estimates for flash flood forecasting in urban drainage basins is examined through model simulations of 10 flood events in the 14.3 km2 Dead Run watershed of Baltimore County, Maryland. The hydrologic model consists of a simple infiltration model and a geomorphological instantaneous unit hydrograph?based representation of hillslope and channel response. Analyses are based on high-resolution radar rainfall estimates from the Sterling, Virginia, WSR-88D and observations from a nested network of 6 stream gauges in the Dead Run watershed and a network of 17 rain gauge stations in Dead Run. For the three largest flood peaks in Dead Run, including the record flood on 7 July 2004, hydrologic model forecasts do not capture the pronounced attenuation of flood peaks. Hydraulic controls imposed by valley bottom constrictions associated with bridges and bridge abutments are a dominant element of the extreme flood response of small urban watersheds. Model analyses suggest that a major limitation on the accuracy of flash flood forecasting in urban watersheds is imposed by storm water management infrastructure. Model analyses also suggest that there is potential for improving model forecasts through the utilization of information on initial soil moisture storage. Errors in the rainfall field, especially those linked to bias correction, are the largest source of uncertainty in quantitative flash flood forecasting. Bias correction of radar rainfall estimates is an important element of flash flood forecasting systems.
    publisherAmerican Meteorological Society
    titleFlash Flood Forecasting for Small Urban Watersheds in the Baltimore Metropolitan Region
    typeJournal Paper
    journal volume22
    journal issue6
    journal titleWeather and Forecasting
    identifier doi10.1175/2007WAF2006036.1
    journal fristpage1331
    journal lastpage1344
    treeWeather and Forecasting:;2007:;volume( 022 ):;issue: 006
    contenttypeFulltext
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