Virginia Tech
    • Log in
    View Item 
    •   VTechWorks Home
    • College of Engineering (COE)
    • Department of Computer Science
    • Computer Science Technical Reports
    • View Item
    •   VTechWorks Home
    • College of Engineering (COE)
    • Department of Computer Science
    • Computer Science Technical Reports
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Ensemble-based chemical data assimilation I: An idealized setting

    Thumbnail
    View/Open
    enkf_ideal.pdf (4.267Mb)
    Downloads: 64
    TR number
    TR-06-06
    Date
    2006-03-01
    Author
    Constantinescu, Emil M.
    Sandu, Adrian
    Chai, Tianfeng
    Carmichael, Gregory R
    Metadata
    Show full item record
    Abstract
    Data assimilation is the process of integrating observational data and model predictions to obtain an optimal representation of the state of the atmosphere. As more chemical observations in the troposphere are becoming available, chemical data assimilation is expected to play an essential role in air quality forecasting, similar to the role it has in numerical weather prediction. Considerable progress has been made recently in the development of variational tools for chemical data assimilation. In this paper we assess the performance of the ensemble Kalman filter (EnKF). Results in an idealized setting show that EnKF is promising for chemical data assimilation.
    URI
    http://hdl.handle.net/10919/20199
    Collections
    • Computer Science Technical Reports [1035]

    If you believe that any material in VTechWorks should be removed, please see our policy and procedure for Requesting that Material be Amended or Removed. All takedown requests will be promptly acknowledged and investigated.

    Virginia Tech | University Libraries | Contact Us
     

     

    VTechWorks

    AboutPoliciesHelp

    Browse

    All of VTechWorksCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Log inRegister

    Statistics

    View Usage Statistics

    If you believe that any material in VTechWorks should be removed, please see our policy and procedure for Requesting that Material be Amended or Removed. All takedown requests will be promptly acknowledged and investigated.

    Virginia Tech | University Libraries | Contact Us