YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Weather and Forecasting
    • View Item
    •   YE&T Library
    • AMS
    • Weather and Forecasting
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 004::page 1541
    Author:
    Gallo, Burkely T.;Clark, Adam J.;Jirak, Israel;Kain, John S.;Weiss, Steven J.;Coniglio, Michael;Knopfmeier, Kent;Correia, James;Melick, Christopher J.;Karstens, Christopher D.;Iyer, Eswar;Dean, Andrew R.;Xue, Ming;Kong, Fanyou;Jung, Youngsun;Shen, Feifei;Thomas, Kevin W.;Brewster, Keith;Stratman, Derek;Carbin, Gregory W.;Line, William;Adams-Selin, Rebecca;Willington, Steve
    DOI: 10.1175/WAF-D-16-0178.1
    Publisher: American Meteorological Society
    Abstract: AbstractLed by NOAA?s Storm Prediction Center and National Severe Storms Laboratory, annual spring forecasting experiments (SFEs) in the Hazardous Weather Testbed test and evaluate cutting-edge technologies and concepts for improving severe weather prediction through intensive real-time forecasting and evaluation activities. Experimental forecast guidance is provided through collaborations with several U.S. government and academic institutions, as well as the Met Office. The purpose of this article is to summarize activities, insights, and preliminary findings from recent SFEs, emphasizing SFE 2015. Several innovative aspects of recent experiments are discussed, including the 1) use of convection-allowing model (CAM) ensembles with advanced ensemble data assimilation, 2) generation of severe weather outlooks valid at time periods shorter than those issued operationally (e.g., 1?4 h), 3) use of CAMs to issue outlooks beyond the day 1 period, 4) increased interaction through software allowing participants to create individual severe weather outlooks, and 5) tests of newly developed storm-attribute-based diagnostics for predicting tornadoes and hail size. Additionally, plans for future experiments will be discussed, including the creation of a Community Leveraged Unified Ensemble (CLUE) system, which will test various strategies for CAM ensemble design using carefully designed sets of ensemble members contributed by different agencies to drive evidence-based decision-making for near-future operational systems.
    • Download: (3.904Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4246625
    Collections
    • Weather and Forecasting

    Show full item record

    contributor authorGallo, Burkely T.;Clark, Adam J.;Jirak, Israel;Kain, John S.;Weiss, Steven J.;Coniglio, Michael;Knopfmeier, Kent;Correia, James;Melick, Christopher J.;Karstens, Christopher D.;Iyer, Eswar;Dean, Andrew R.;Xue, Ming;Kong, Fanyou;Jung, Youngsun;Shen, Feifei;Thomas, Kevin W.;Brewster, Keith;Stratman, Derek;Carbin, Gregory W.;Line, William;Adams-Selin, Rebecca;Willington, Steve
    date accessioned2018-01-03T11:03:14Z
    date available2018-01-03T11:03:14Z
    date copyright6/22/2017 12:00:00 AM
    date issued2017
    identifier otherwaf-d-16-0178.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246625
    description abstractAbstractLed by NOAA?s Storm Prediction Center and National Severe Storms Laboratory, annual spring forecasting experiments (SFEs) in the Hazardous Weather Testbed test and evaluate cutting-edge technologies and concepts for improving severe weather prediction through intensive real-time forecasting and evaluation activities. Experimental forecast guidance is provided through collaborations with several U.S. government and academic institutions, as well as the Met Office. The purpose of this article is to summarize activities, insights, and preliminary findings from recent SFEs, emphasizing SFE 2015. Several innovative aspects of recent experiments are discussed, including the 1) use of convection-allowing model (CAM) ensembles with advanced ensemble data assimilation, 2) generation of severe weather outlooks valid at time periods shorter than those issued operationally (e.g., 1?4 h), 3) use of CAMs to issue outlooks beyond the day 1 period, 4) increased interaction through software allowing participants to create individual severe weather outlooks, and 5) tests of newly developed storm-attribute-based diagnostics for predicting tornadoes and hail size. Additionally, plans for future experiments will be discussed, including the creation of a Community Leveraged Unified Ensemble (CLUE) system, which will test various strategies for CAM ensemble design using carefully designed sets of ensemble members contributed by different agencies to drive evidence-based decision-making for near-future operational systems.
    publisherAmerican Meteorological Society
    titleBreaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment
    typeJournal Paper
    journal volume32
    journal issue4
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-16-0178.1
    journal fristpage1541
    journal lastpage1568
    treeWeather and Forecasting:;2017:;volume( 032 ):;issue: 004
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian