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    • Community Snow Observations Project

    BACKCOUNTRY NEWS AND FORUMS

    Welcome to your source for the latest news, conditions, and insights on backcountry skiing and adventuring. Explore reports, gear reviews, safety tips, and more to help you make the most of your time in the wild.

    If you sign up as a member this is your chance to tell everyone about everything and anything to do with backcountry skiing. Follow the simple steps to register and WHAMMY, you’re in. If you are pulling your hair out with frustration, have a look at the help forums for answers or take a pause and drop us an email at: info (at) backcountryskiingcanada.com. We’ll do our best to help out as soon as we can (but all bets are off on a powder day, obviously).  


    Community Snow Observations Project

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    • david hill
      2018-01-09 08:35:49

      Community Snow Observations Project

      Backcountry Enthusiast,

      We are writing to share with you information about the Community Snow Observations (CSO) Project and to invite you to participate. The CSO project is an initiative funded by NASA to improve understanding of snow variability in complex terrain. 

      The CSO team uses snow depth measurements collected by Citizen Scientists traversing backcountry environments. These data are incorporated into numerical model simulations of snowpack and runoff processes. By sampling in a wide variety of locations and elevations, these data provide valuable spatial coverage that traditional fixed stations (SnoTel) are unable to provide.

      The data are easy to collect, requiring only an avalanche probe, a smart phone equipped with the Mountain Hub app (available for IOS and Android devices) and enthusiasm from backcountry users like you. Tutorials on how to participate are provided at the CSO website and our Twitter feed will keep you up to date on the latest developments and modeling results.

      The 'snow data' link on our website gives you a real time map of submitted snow observations. Alaska has been fantastic, since that is where our project started. We are now wishing to grow the project into BC and the PNW.

      Thank you for your time and, as the snow season kicks off, we hope you’ll take a moment to contribute to our collective understanding of the snow environment.

      David Hill, on behalf of the CSO Team.

      ps. If you would like further information, the Associated Press just ran a great story on our work and it was in the New York Times, etc. Link:

      https://apnews.com/2379707e89d5460ba82dad890c9efb5c/Attention-backcountry-skiers:-Scientists-want-your-help

    • david hill
      2018-01-09 08:36:56

      If you're interested in seeing how these measurements help, please visit the link below.

      The first figure plots modeled snow-water-equivalent (SWE) vs. observed SWE at a SnoTel site in our model domain. Points are colored by 'day' in the water year. This is for a 'best calibrated' run. If the model was perfect, all points would be on the 45 deg sloping line. As you can see, the model builds way too much snow. This can be due to many things, in this case it is most likely a result of our choice of weather reanalysis product (MERRA). Basically, the weather product is too cold and wet.

      The other figure shows the model when it is run with assimilated data from citizen scientists. Note how the points are much much closer to the 45 deg line. The root-mean-square error in modeled SWE is cut from 22 cm to 3 cm.

      Science stoke!

      https://www.flickr.com/photos/128442461@N06/albums/72157690574660205

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