YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Monthly Weather Review
    • View Item
    •   YE&T Library
    • AMS
    • Monthly Weather Review
    • 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

    Developing a Convective-Scale EnKF Data Assimilation System for the Canadian MEOPAR Project

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 004::page 1473
    Author:
    Jacques, Dominik
    ,
    Chang, Weiguang
    ,
    Baek, Seung-Jong
    ,
    Milewski, Thomas
    ,
    Fillion, Luc
    ,
    Chung, Kao-Shen
    ,
    Ritchie, Harold
    DOI: 10.1175/MWR-D-16-0135.1
    Publisher: American Meteorological Society
    Abstract: his study discusses the construction of a high-resolution ensemble Kalman filter system (the HREnKF) developed for the Marine Environmental Observation Prediction and Response (MEOPAR) network. The HREnKF runs at a horizontal resolution of 2.5 km and is intended to provide forecasts at lead times up to 12 h. This system was adapted from the global EnKF system in operation at Environment and Climate Change Canada. As a first development step, only the most necessary modifications have been implemented. The changes include an hourly cycling frequency, smaller localization radii, and the explicit representation of microphysical processes. To assess its performance and orient future developments, the HREnKF was continuously cycled for a period of 12 days. Verification against surface observations reveals that the skill of the forecasts initialized from the HREnKF is comparable to that of control forecasts also integrated at a resolution of 2.5 km. A key component of this study is the comparison of correlation estimated from ensembles at resolutions of 2.5, 15, and 50 km. At 2.5 km, correlation lengths are smaller than those found at 15 and 50 km. These short correlation lengths demand a high observational density, which is not available over the west coast domain where the HREnKF was tested. The spatial and temporal variability of the correlations is also assessed for the HREnKF system. It is found that correlation patterns are complex and do not generally decrease monotonically away from the reference point around which they are estimated. This result is important as it indicates that separation distance may not be the ideal parameter to use as a basis for localization strategies.
    • Download: (5.964Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Developing a Convective-Scale EnKF Data Assimilation System for the Canadian MEOPAR Project

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4230983
    Collections
    • Monthly Weather Review

    Show full item record

    contributor authorJacques, Dominik
    contributor authorChang, Weiguang
    contributor authorBaek, Seung-Jong
    contributor authorMilewski, Thomas
    contributor authorFillion, Luc
    contributor authorChung, Kao-Shen
    contributor authorRitchie, Harold
    date accessioned2017-06-09T17:34:08Z
    date available2017-06-09T17:34:08Z
    date copyright2017/04/01
    date issued2017
    identifier issn0027-0644
    identifier otherams-87326.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230983
    description abstracthis study discusses the construction of a high-resolution ensemble Kalman filter system (the HREnKF) developed for the Marine Environmental Observation Prediction and Response (MEOPAR) network. The HREnKF runs at a horizontal resolution of 2.5 km and is intended to provide forecasts at lead times up to 12 h. This system was adapted from the global EnKF system in operation at Environment and Climate Change Canada. As a first development step, only the most necessary modifications have been implemented. The changes include an hourly cycling frequency, smaller localization radii, and the explicit representation of microphysical processes. To assess its performance and orient future developments, the HREnKF was continuously cycled for a period of 12 days. Verification against surface observations reveals that the skill of the forecasts initialized from the HREnKF is comparable to that of control forecasts also integrated at a resolution of 2.5 km. A key component of this study is the comparison of correlation estimated from ensembles at resolutions of 2.5, 15, and 50 km. At 2.5 km, correlation lengths are smaller than those found at 15 and 50 km. These short correlation lengths demand a high observational density, which is not available over the west coast domain where the HREnKF was tested. The spatial and temporal variability of the correlations is also assessed for the HREnKF system. It is found that correlation patterns are complex and do not generally decrease monotonically away from the reference point around which they are estimated. This result is important as it indicates that separation distance may not be the ideal parameter to use as a basis for localization strategies.
    publisherAmerican Meteorological Society
    titleDeveloping a Convective-Scale EnKF Data Assimilation System for the Canadian MEOPAR Project
    typeJournal Paper
    journal volume145
    journal issue4
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-16-0135.1
    journal fristpage1473
    journal lastpage1494
    treeMonthly Weather Review:;2017:;volume( 145 ):;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