• DocumentCode
    3691162
  • Title

    SWE monitoring during the winter and spring melt by combining microwaves remote sensing data, modeling and ground data

  • Author

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

  • Author_Institution
    Research Institute of Hydro-Qué
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    5201
  • Lastpage
    5204
  • Abstract
    Snow water equivalent is a key variable for hydrological modeling. For Hydro-Québec, the water contains within the snowpack represents more than 30% of its annual energy reserve. This is even more important since 97% of Hydro-Québec´s power production is hydroelectric. Knowing the maximum snow water equivalent value is crucial to determine the amount of potential energy that the snow melting will provide during the spring. In order to optimise the level water stock in the reservoirs and the hydropower generation for all Hydro-Québec´s watersheds, the monitoring of spring runoff must be done adequately in near real time. To improve monitoring snow properties during both winter and springs seasons, a methodology based on a model inversion scheme is coupled with a simple density model. The first results show that the methodology can quantify adequately the snow accumulation and snowmelt.
  • Keywords
    "Snow","Monitoring","Springs","Data models","Sensors","Microwave theory and techniques","Atmospheric modeling"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7327006
  • Filename
    7327006