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    Analysis of National Weather Service Stage Forecast Errors

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 004::page 1441
    Author:
    Zalenski, Grace;Krajewski, Witold F.;Quintero, Felipe;Restrepo, Pedro;Buan, Steve
    DOI: 10.1175/WAF-D-16-0219.1
    Publisher: American Meteorological Society
    Abstract: AbstractThis paper explores the skill of river stage forecasts produced by the National Weather Service (NWS). Despite the importance of the verification process in establishing a reference that allows advancement in river forecast technology, there is relatively little literature on this topic. This study aims to contribute to this subject. The study analyzed the North Central River Forecast Center?s river stage forecasts for 51 gauges in eastern and central Iowa between 1999 and 2014. The authors explored forecast skill dependence characteristics such as upstream area, water travel time, and the number of gauges located upstream of each forecasting point. They also assessed the influence of rainfall uncertainty on stage error by examining the relationship between the forecast skill and its antecedent 24-h observed rainfall. The results show that when using persistence as a reference for comparison with NWS actual forecasts, the NWS forecasts are better for predictions below and above flood stage. The difference in root-mean-square error (RMSE) between the actual and persistence forecasts ranges between 0.04 and 1.24 ft, and it increases with lead time. Locations with fewer upstream gauges exhibit greater variation in forecast skill than locations that are well gauged, especially at high flood levels. Strong predictive relationships between the physical characteristics of a basin (travel time, upstream drainage area), rainfall quantities, and forecast skill have not been identified.
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      Analysis of National Weather Service Stage Forecast Errors

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4246638
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    contributor authorZalenski, Grace;Krajewski, Witold F.;Quintero, Felipe;Restrepo, Pedro;Buan, Steve
    date accessioned2018-01-03T11:03:16Z
    date available2018-01-03T11:03:16Z
    date copyright5/30/2017 12:00:00 AM
    date issued2017
    identifier otherwaf-d-16-0219.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246638
    description abstractAbstractThis paper explores the skill of river stage forecasts produced by the National Weather Service (NWS). Despite the importance of the verification process in establishing a reference that allows advancement in river forecast technology, there is relatively little literature on this topic. This study aims to contribute to this subject. The study analyzed the North Central River Forecast Center?s river stage forecasts for 51 gauges in eastern and central Iowa between 1999 and 2014. The authors explored forecast skill dependence characteristics such as upstream area, water travel time, and the number of gauges located upstream of each forecasting point. They also assessed the influence of rainfall uncertainty on stage error by examining the relationship between the forecast skill and its antecedent 24-h observed rainfall. The results show that when using persistence as a reference for comparison with NWS actual forecasts, the NWS forecasts are better for predictions below and above flood stage. The difference in root-mean-square error (RMSE) between the actual and persistence forecasts ranges between 0.04 and 1.24 ft, and it increases with lead time. Locations with fewer upstream gauges exhibit greater variation in forecast skill than locations that are well gauged, especially at high flood levels. Strong predictive relationships between the physical characteristics of a basin (travel time, upstream drainage area), rainfall quantities, and forecast skill have not been identified.
    publisherAmerican Meteorological Society
    titleAnalysis of National Weather Service Stage Forecast Errors
    typeJournal Paper
    journal volume32
    journal issue4
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-16-0219.1
    journal fristpage1441
    journal lastpage1465
    treeWeather and Forecasting:;2017:;volume( 032 ):;issue: 004
    contenttypeFulltext
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