Snow depth, canopy structure and meterorological datasets from the Davos area, Switzerland, Winters 2012/13-2014/15, used for high-resolution forest snow modelling

This dataset contains all snow, canopy and meteorological data presented and used in the publication: Mazzotti, G., Essery, R., Moeser, D. & Jonas T. 'Resolving spatial variability of forest snow using an energy-balance model with a 1-layer canopy'. Submitted to Water Resources Research, August 2019 When using these data, the above publication should be cited.

Citation:

Giulia Mazzotti; C. David Moeser; Tobias Jonas (2019). Snow depth, canopy structure and meterorological datasets from the Davos area, Switzerland, Winters 2012/13-2014/15, used for high-resolution forest snow modelling. EnviDat.

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Data and Resources

Metadata

Field Values
DOI
Authors
  • Name: Giulia Mazzotti  Affiliation: WSL Institute for Snow and Avalanche Research SLF  Email: giulia.mazzottifoo(at)slf.ch  ORCID: 0000-0003-3857-7449  DataCRediT: Collection, Curation, Publication
  • Name: C. David Moeser  Affiliation: United States Geological Survey, New Mexico Water Science Center  Email: cmoeserfoo(at)usgs.gov  ORCID: 0000-0003-0154-9110  DataCRediT: Collection, Publication
  • Name: Tobias Jonas  Affiliation: WSL Institute for Snow and Avalanche Research SLF  Email: jonasfoo(at)slf.ch  ORCID: 0000-0003-0386-8676  DataCRediT: Supervision
Contact Person Name: Giulia Mazzotti  Email: giulia.mazzottifoo(at)slf.ch  Affiliation: WSL Institute for Snow and Avalanche Research SLF  ORCID: 0000-0003-3857-7449
Subtitles
Publication Publisher: EnviDat  Year: 2019
Dates
  • Type: Collected  Date: 2012-12-01  End Date: 2015-05-30
Version 1.0
Type Dataset
General Type Dataset
Language English
Location Switzerland
License Open Data Commons Open Database License (ODbL)    [Open Data]
Last Updated August 8, 2019, 18:15 (CEST)
Created August 2, 2019, 18:39 (CEST)