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Multiscale spatial variability of lidar-derived and modeled snow depth on Hardangervidda, Norway

2013/01/01 by Kjetil Melvold, Thomas Skaugen
Earth and Planetary Sciences · Environmental Science · #Cryospheric studies and observations #Hydrology and Watershed Management Studies #Remote Sensing and LiDAR Applications

paper · pdf · doi:10.3189/2013aog62a161

openalex publication_date 2013/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

Abstract This study presents results from an Airborne Laser Scanning (ALS) mapping survey of snow depth on the mountain plateau Hardangervidda, Norway, in 2008 and 2009 at the approximate time of maximum snow accumulation during the winter. The spatial extent of the survey area is >240 km 2 . Large variability is found for snow depth at a local scale (2 m 2 ), and similar spatial patterns in accumulation are found between 2008 and 2009. The local snow-depth measurements were aggregated by averaging to produce new datasets at 10, 50, 100, 250 and 500 m 2 and 1 km 2 resolution. The measured values at 1 km 2 were compared with simulated snow depth from the seNorge snow model ( www.senorge.no ), which is run on a 1 km 2 grid resolution. Results show that the spatial variability decreases as the scale increases. At a scale of about 500 m 2 to 1 km 2 the variability of snow depth is somewhat larger than that modeled by seNorge. This analysis shows that (1) the regional-scale spatial pattern of snow distribution is well captured by the seNorge model and (2) relatively large differences in snow depth between the measured and modeled values are present.

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