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    Improving QPE and Very Short Term QPF: An Initiative for a Community-Wide Integrated Approach

    Source: Bulletin of the American Meteorological Society:;2007:;volume( 088 ):;issue: 012::page 1899
    Author:
    Vasiloff, Steven V.
    ,
    Howard, Kenneth W.
    ,
    Rabin, Robert M.
    ,
    Brooks, Harold E.
    ,
    Seo, Dong-Jun
    ,
    Zhang, Jian
    ,
    Kitzmiller, David H.
    ,
    Mullusky, Mary G.
    ,
    Krajewski, Witold F.
    ,
    Brandes, Edward A.
    ,
    Brown, Barbara G.
    ,
    Berkowitz, Daniel S.
    ,
    McGinley, John A.
    ,
    Kuligowski, Robert J.
    DOI: 10.1175/BAMS-88-12-1899
    Publisher: American Meteorological Society
    Abstract: Accurate quantitative precipitation estimates (QPE) and very short term quantitative precipitation forecasts (VSTQPF) are critical to accurate monitoring and prediction of water-related hazards and water resources. While tremendous progress has been made in the last quarter-century in many areas of QPE and VSTQPF, significant gaps continue to exist in both knowledge and capabilities that are necessary to produce accurate high-resolution precipitation estimates at the national scale for a wide spectrum of users. Toward this goal, a national next-generation QPE and VSTQPF (Q2) workshop was held in Norman, Oklahoma, on 28?30 June 2005. Scientists, operational forecasters, water managers, and stakeholders from public and private sectors, including academia, presented and discussed a broad range of precipitation and forecasting topics and issues, and developed a list of science focus areas. To meet the nation's needs for the precipitation information effectively, the authors herein propose a community-wide integrated approach for precipitation information that fully capitalizes on recent advances in science and technology, and leverages the wide range of expertise and experience that exists in the research and operational communities. The concepts and recommendations from the workshop form the Q2 science plan and a suggested path to operations. Implementation of these concepts is expected to improve river forecasts and flood and flash flood watches and warnings, and to enhance various hydrologic and hydrometeorological services for a wide range of users and customers. In support of this initiative, the National Mosaic and Q2 (NMQ) system is being developed at the National Severe Storms Laboratory to serve as a community test bed for QPE and VSTQPF research and to facilitate the transition to operations of research applications. The NMQ system provides a real-time, around-the-clock data infusion and applications development and evaluation environment, and thus offers a community-wide platform for development and testing of advances in the focus areas.
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      Improving QPE and Very Short Term QPF: An Initiative for a Community-Wide Integrated Approach

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    contributor authorVasiloff, Steven V.
    contributor authorHoward, Kenneth W.
    contributor authorRabin, Robert M.
    contributor authorBrooks, Harold E.
    contributor authorSeo, Dong-Jun
    contributor authorZhang, Jian
    contributor authorKitzmiller, David H.
    contributor authorMullusky, Mary G.
    contributor authorKrajewski, Witold F.
    contributor authorBrandes, Edward A.
    contributor authorBrown, Barbara G.
    contributor authorBerkowitz, Daniel S.
    contributor authorMcGinley, John A.
    contributor authorKuligowski, Robert J.
    date accessioned2017-06-09T16:43:15Z
    date available2017-06-09T16:43:15Z
    date copyright2007/12/01
    date issued2007
    identifier issn0003-0007
    identifier otherams-72960.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215020
    description abstractAccurate quantitative precipitation estimates (QPE) and very short term quantitative precipitation forecasts (VSTQPF) are critical to accurate monitoring and prediction of water-related hazards and water resources. While tremendous progress has been made in the last quarter-century in many areas of QPE and VSTQPF, significant gaps continue to exist in both knowledge and capabilities that are necessary to produce accurate high-resolution precipitation estimates at the national scale for a wide spectrum of users. Toward this goal, a national next-generation QPE and VSTQPF (Q2) workshop was held in Norman, Oklahoma, on 28?30 June 2005. Scientists, operational forecasters, water managers, and stakeholders from public and private sectors, including academia, presented and discussed a broad range of precipitation and forecasting topics and issues, and developed a list of science focus areas. To meet the nation's needs for the precipitation information effectively, the authors herein propose a community-wide integrated approach for precipitation information that fully capitalizes on recent advances in science and technology, and leverages the wide range of expertise and experience that exists in the research and operational communities. The concepts and recommendations from the workshop form the Q2 science plan and a suggested path to operations. Implementation of these concepts is expected to improve river forecasts and flood and flash flood watches and warnings, and to enhance various hydrologic and hydrometeorological services for a wide range of users and customers. In support of this initiative, the National Mosaic and Q2 (NMQ) system is being developed at the National Severe Storms Laboratory to serve as a community test bed for QPE and VSTQPF research and to facilitate the transition to operations of research applications. The NMQ system provides a real-time, around-the-clock data infusion and applications development and evaluation environment, and thus offers a community-wide platform for development and testing of advances in the focus areas.
    publisherAmerican Meteorological Society
    titleImproving QPE and Very Short Term QPF: An Initiative for a Community-Wide Integrated Approach
    typeJournal Paper
    journal volume88
    journal issue12
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-88-12-1899
    journal fristpage1899
    journal lastpage1911
    treeBulletin of the American Meteorological Society:;2007:;volume( 088 ):;issue: 012
    contenttypeFulltext
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