Articles | Volume 18, issue 11
https://doi.org/10.5194/tc-18-5139-2024
https://doi.org/10.5194/tc-18-5139-2024
Research article
 | 
14 Nov 2024
Research article |  | 14 Nov 2024

Characterization of non-Gaussianity in the snow distributions of various landscapes

Noriaki Ohara, Andrew D. Parsekian, Benjamin M. Jones, Rodrigo C. Rangel, Kenneth M. Hinkel, and Rui A. P. Perdigão

Data sets

Snow depth survey in North Slope, Alaska, 2022 Noriaki Ohara https://doi.org/10.18739/A24746T0K

Ground Penetrating Radar (GPR) data on snow over lakes and drained lake basins in Inigok, North Slope of Alaska, April 2019 Rodrigo Correa Rangel et al. https://doi.org/10.18739/A2NV99C4P

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Short summary
Snow distribution characterization is essential for accurate snow water estimation for water resource prediction from existing in situ observations and remote-sensing data at a finite spatial resolution. Four different observed snow distribution datasets were analyzed for Gaussianity. We found that non-Gaussianity of snow distribution is a signature of the wind redistribution effect. Generally, seasonal snowpack can be approximated well by a Gaussian distribution for a fully snow-covered area.