Seasonal snow–atmosphere modeling: let's do it

Reynolds, Dylan; Quéno, Louis; Lehning, Michael; Jafari, Mahdi; Berg, Justine; Jonas, Tobias; Haugeneder, Michael; Mott, Rebecca

doi:https://doi.org/10.5194/tc-18-4315-2024

Articles | Volume 18, issue 9

https://doi.org/10.5194/tc-18-4315-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-18-4315-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 9

Research article

|

19 Sep 2024

Research article |

| 19 Sep 2024

Seasonal snow–atmosphere modeling: let's do it

Dylan Reynolds, Louis Quéno, Michael Lehning, Mahdi Jafari, Justine Berg, Tobias Jonas, Michael Haugeneder, and Rebecca Mott

Supplement

https://doi.org/10.5194/tc-18-4315-2024-supplement

Data sets

Weather stations of the automatic monitoring network opendata.swiss https://opendata.swiss/en/dataset/automatische-meteorologische-bodenmessstationen

swissALTI3D Bundesamt für Landestopografie swisstopo https://www.swisstopo.admin.ch/de/hoehenmodell-swissalti3d

Model code and software

HICARsnow Model Code Dylan Reynolds https://doi.org/10.5281/zenodo.10679464

Video supplement

Preferential Deposition Processes Dylan Reynolds https://doi.org/10.16904/envidat.482

Short summary

Information about atmospheric variables is needed to produce simulations of mountain snowpacks. We present a model that can represent processes that shape mountain snowpack, focusing on the accumulation of snow. Simulations show that this model can simulate the complex path that a snowflake takes towards the ground and that this leads to differences in the distribution of snow by the end of winter. Overall, this model shows promise with regard to improving forecasts of snow in mountains.