Predicting Snow Depth in a Forest–Tundra Landscape using a Conceptual Model Allowing for Snow Redistribution and Constrained by Observations from a Digital Camera-Reference-Cited by-同舟云学术

Predicting Snow Depth in a Forest–Tundra Landscape using a Conceptual Model Allowing for Snow Redistribution and Constrained by Observations from a Digital Camera

Published:2015-03-15 Issue:2 Volume:53 Page:200-211
ISSN:0705-5900
Container-title:Atmosphere-Ocean
language:en
Short-container-title:Atmosphere-Ocean

Author:

Fortin V.,Jean M.,Brown R.,Payette S.

Funder

Fonds Québécois de la Recherche sur la Nature et les Technologies

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Atmospheric Science,Oceanography

Link

http://www.tandfonline.com/doi/pdf/10.1080/07055900.2015.1022708

Reference48 articles.

1. A Global Analysis of Snow Depth for Numerical Weather Prediction

2. Gridded North American monthly snow depth and snow water equivalent for GCM evaluation

3. Assessment of spring snow cover duration variability over northern Canada from satellite datasets

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