Input datasets for forest snow modelling in Fluela valley, WY 2016-21

This dataset contains surface datasets (in particular canopy structure fields) and meteorological input (water years 2016-2021) required to run the snow model FSM2 over the Fluela valley. Land surface datasets are available for a 1.5x2.5km model domain at 2m spatial resolution, meteorological input at hourly resolution is provided for a point and corresponds to the location of the automatic weather station / snow measurement field 5DF in Davos. Corresponding FSM2 simulations are used and analyzed in the publication 'Canopy structure, topography and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests' by Mazzotti et al. (submitted to HESSD). This publication should be cited whenever the dataset is used.

Funding Information:

This work was supported by:
  • SLF

Related Publications

Mazzotti, G., Webster, C., Quéno, L., Cluzet, B. and Jonas, T. (2022) Canopy structure, topography and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests. submitted to Hydrol. and Earth System Sciences Discussions

Citation:

Mazzotti, Giulia; Jonas, Tobias (2022). Input datasets for forest snow modelling in Fluela valley, WY 2016-21. EnviDat. doi:10.16904/envidat.338.

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Data and Resources

Metadata

Field Values
DOI 10.16904/envidat.338
Publication State Published
Authors
  • Email: giulia.mazzottifoo(at)slf.ch ORCID: 0000-0003-3857-7449 Given Name: Giulia Family Name: Mazzotti Affiliation: SLF
  • Email: jonasfoo(at)wsl.ch Given Name: Tobias Family Name: Jonas Affiliation: WSL
Contact Person Given Name: Giulia Family Name: Mazzotti Email: giulia.mazzottifoo(at)slf.ch Affiliation: SLF ORCID: 0000-0003-3857-7449
Subtitles
Publication Publisher: EnviDat Year: 2022
Dates
  • Type: Created Date: 2022-07-07
Version 1.0
Type dataset
General Type Dataset
Language English
Location Switzerland
Content License WSL Data Policy
Last Updated July 27, 2022, 09:07 (UTC)
Created July 7, 2022, 10:38 (UTC)