• DocumentCode
    2188990
  • Title

    SWE retrieval over a forested watershed using a snow emission model inversion algorithm

  • Author

    Vachon, François ; De Sève, Danielle ; Choquette, Yves ; Guay, Frédéric

  • Author_Institution
    Hydro-Quebec-Inst. of Res. (IREQ), Varennes, QC, Canada
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4414
  • Lastpage
    4417
  • Abstract
    For Hydro-Québec, the water contains within the snow-pack represents more than 30% of its annual energy reserve. Moreover, 97% of Hydro-Quebec´s power production is hydroelectric. Thus, the knowledge of the maximum value of snow water equivalent is a crucial information to maximise hydropower generation for all Hydro-Québec´s watersheds. To improve monitoring snow properties in forested areas, a model inversion scheme is adapted to incorporate the information provided by the total volume map produced by the Canadian Forest Service. The first results show that the inversion algorithm can quantify adequately the snow water equivalent during the winter period over a forested watershed.
  • Keywords
    hydroelectric power; hydrological techniques; snow; vegetation; water resources; Canada; Canadian Forest Service; Hydro-Quebec power production; Hydro-Quebec watersheds; SWE retrieval; annual energy reserve; forested areas; forested watershed; hydroelectric power production; hydropower generation; model inversion scheme; snow emission model inversion algorithm; snow properties; snow water equivalent; snowpack; total volume map; winter period; Atmospheric modeling; Data models; Microwave radiometry; Microwave theory and techniques; Monitoring; Production; Snow; Snow water equivalent; in situ calibration; inversion algorithm; passive microwave; snow emission model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350394
  • Filename
    6350394