Preprints
https://doi.org/10.5194/gmd-2023-43
https://doi.org/10.5194/gmd-2023-43
Submitted as: model description paper
 | 
09 May 2023
Submitted as: model description paper |  | 09 May 2023
Status: a revised version of this preprint is currently under review for the journal GMD.

SnowPappus v1.0, a blowing-snow model for large-scale applications of Crocus snow scheme

Matthieu Baron, Ange Haddjeri, Matthieu Lafaysse, Louis Le Toumelin, Vincent Vionnet, and Mathieu Fructus

Abstract. Wind-induced snow transport has a strong influence on snow spatial variability especially at spatial scales between 1 and 500 m in alpine environments. Thus, the evolution of snow modelling systems towards 100–500 m resolutions requires representing this process. We developed SnowPappus, a parsimonious blowing snow model coupled to the Crocus state-of-the-art snow model, able to be operated over large domains and entire snow seasons. SnowPappus simulates blowing snow occurrence, horizontal transport flux and sublimation rate on each grid cell as a function of 2D atmospheric forcing and snow surface properties. Then, it computes a mass balance using an upwind scheme to provide eroded or accumulated snow amounts to Crocus. Parameterizations used to represent the different processes are described in detail and discussed against existing literature. A point-scale evaluation of blowing snow fluxes was conducted, mainly at the Col du Lac Blanc observatory in French Alps. Blowing snow occurrence evaluation showed SnowPappus performs as well as a currently operational scheme. Evaluation of the simulated suspension fluxes highlighted a strong sensitivity to the suspended particles terminal fall speed. Proper calibrations allows the model to reproduce the correct order of magnitude of the mass flux in the suspension layer. Numerical performances of gridded simulations of Crocus coupled with SnowPappus were assessed, showing the feasibility of using it for operational snow forecast at the scale of the entire French Alps.

Matthieu Baron et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-43', Anonymous Referee #1, 07 Jun 2023
    • AC1: 'Reply on RC1', Matthieu Baron, 30 Aug 2023
  • RC2: 'Comment on gmd-2023-43', Anonymous Referee #2, 12 Jun 2023
    • AC2: 'Reply on RC2', Matthieu Baron, 30 Aug 2023

Matthieu Baron et al.

Data sets

supplementary to "SnowPappus v1.0, a blowing-snow model for large-scale applications of Crocus snow scheme" , 2D wind forcing Matthieu Baron, Ange Haddjeri, Matthieu Lafaysse, Louis le Toumelin, Vincent Vionnet, and Mathieu Fructus https://doi.org/10.5281/zenodo.7681661

Supplementary material to "SnowPappus v1.0, a blowing-snow model for large-scale applications of Crocus snow scheme" Matthieu Baron, Ange Haddjeri, Matthieu Lafaysse, Louis le Toumelin, Vincent Vionnet, and Mathieu Fructus https://doi.org/10.5281/zenodo.7681551

Model code and software

Supplementary to "SnowPappus v1.0, a blowing-snow model for large-scale applications of Crocus snow scheme" : SURFEX codes and dependancies Matthieu Baron, Ange Haddjeri, Matthieu Lafaysse, Louis le Toumelin, Vincent Vionnet, and Mathieu Fructus https://doi.org/10.5281/zenodo.7687821

Matthieu Baron et al.

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Short summary
Increasing the spatial resolution of numerical systems simulating snowpack evolution in mountain areas requires to represent small-scale processes such as wind-induced snow transport. Here we present SnowPappus, a simple scheme coupled with Crocus snow model computing blowing snow fluxes and redistributing snow among grid points at 250 m resolution. In terms of numerical cost, it is suitable for large-scale applications. We present point-scale evaluations of fluxes and snow transport occurrence.