Snow depth and density measurements with different snow core samplers in HARMOSNOW Field Campaigns

The data correspond to snow bulk density and snow depth measured with different snow core sampler in three field campaigns carried out in mountains of Turkey, Iceland and Finland in order to assess the uncertainty of using different snow core samplers and different observers. The field campaigns were carried out in the frame of the COST project HARMOSNOW ES1404 http://harmosnow.eu/

Data and Resources

Additional Info

Field Value
GCMD keywords
Dataset Center https://zenodo.org/
Maintainer
Dataset PI
  • PI name: Juan Ignacion López Moreno  PI ORCID: 0000-0002-7270-9313  PI Institution: Pyrenean Institute of Ecology, CSIC
  • PI name: Leena Leppänen  PI ORCID: 0000-0003-1605-8306  PI Institution: Finnish Meteorological Institute
  • PI name: Bartłomiej Luks  PI email: luksfoo(at)igf.edu.pl  PI ORCID: 0000-0003-2287-385X  PI Institution: Institute of Geophysics, Polish Academy of Sciences
  • PI name: Ladislav Holko  PI ORCID: 0000-0002-4589-7478  PI Institution: Institute of Hydrology, Slovak Academy of Sciences
  • PI name: Ghislain Picard  PI ORCID: 0000-0003-1475-5853  PI Institution: CNRS, Institut des Géosciences de l'Environnement (IGE)
  • PI name: Alba Sanmiguel-Vallelado  PI ORCID: 0000-0001-6884-1728  PI Institution: Pyrenean Institute of Ecology, CSIC
  • PI name: Esteban Alonso González  PI ORCID: 0000-0002-1883-3823  PI Institution: Pyrenean Institute of Ecology, CSIC
  • PI name: David C. Finger  PI ORCID: 0000-0003-0678-8946  PI Institution: Sustainability Institute and Forum (SIF), School of Science and Engineering, Reykjavik University
  • PI name: Ali Nadir-Arslan  PI ORCID: 0000-0003-1256-0163  PI Institution: Finnish Meteorological Institute
  • PI name: Katalin Gillemot  PI ORCID: 0000-0002-3371-1293  PI Institution: ENGAGE ‐ Geomorphological Systems and Risk Research, Department of Geography and Regional Research, University of Vienna
  • PI name: Aynur Sensoy  PI ORCID: 0000-0003-3004-4912  PI Institution: Eskisehir Technical University
  • PI name: Arda Sorman  PI ORCID: 0000-0003-3143-7793  PI Institution: Eskisehir Technical University
  • PI name: Cansaran Ertaş  PI ORCID: 0000-0002-6376-5516  PI Institution: Eskisehir Technical University
  • PI name: Charles Fierz  PI ORCID: 0000-0001-9490-6732  PI Institution: WSL Institute for Snow and Avalanche Research SLF
  • PI name: Steven Fassnacht  PI ORCID: 0000-0002-5270-8049  PI Institution: Colorado State University
  • PI name: Christoph Marty  PI ORCID: 0000-0002-0398-6253  PI Institution: WSL Institute for Snow and Avalanche Research SLF
Dataset Owner
  • Owner name: Pyrenean Institute of Ecology, CSIC
  • Owner name: Finnish Meteorological Institute
  • Owner name: Institute of Geophysics, Polish Academy of Sciences
  • Owner name: Institute of Hydrology, Slovak Academy of Sciences
  • Owner name: CNRS, Institut des Géosciences de l'Environnement (IGE)
  • Owner name: Sustainability Institute and Forum (SIF), School of Science and Engineering, Reykjavik University
  • Owner name: ENGAGE ‐ Geomorphological Systems and Risk Research, Department of Geography and Regional Research, University of Vienna
  • Owner name: Eskisehir Technical University
  • Owner name: Colorado State University
  • Owner name: WSL Institute for Snow and Avalanche
Licence Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Dataset status Complete
Activity type in-situ measurements
Access constraint Open
Embargo
Dataset modified
Version 1.0
Metadata created 2019-01-25
Quality statement Quality controlled by manual inspection
Quality Editor Editor name: Bartłomiej Luks  Editor email: luksfoo(at)igf.edu.pl  Editor Institution: Institute of Geophysics, Polish Academy of Sciences
Spatial distribution { "coordinates": [ [ [ 26.631054, 67.367696 ], [ -21.402321, 64.037913 ], [ 34.489218, 37.004665 ] ] ], "type": "Polygon" }
Region Finland; Iceland; Turkey
Start time 2016-02-29 23:00 UTC
End time 2018-02-21 23:00 UTC
Dataset citation Juan Ignacion López Moreno, Leena Leppänen, Bartek Luks, Ladislav Holko, Ghislain Picard, Alba Sanmiguel-Vallelado, Esteban Alonso, David Finger, Ali Nadir-Arslan, Katalin Gillemot, Aynur Sensoy, Arda Sorman, Cansaran Ertaş, Charles Fierz, Steven Fassnacht and Cristoph Marty (2019) Snow depth and density measurements with different snow core samplers in HARMOSNOW Field Campaigns. (doi:10.5281/zenodo.2549310)
Dataset DOI https://doi.org/10.5281/zenodo.2549309
Resource name
  • Data format: csv
Publication
  • Publication title: López-Moreno, J.I., Leppänen, L., Luks, B., Holko, L., Picard, G., Sanmiguel‐Vallelado, A., Alonso‐González, E., Finger, D.C., Arslan, A.N,., Gillemot, K., Sensoy, A., Sorman, A., Cansaran Ertaş, M., Fassnacht, S.R., Fierz, C., Marty, C., 2020. Intercomparison of measurements of bulk snow density and water equivalent of snow cover with snow core samplers: Instrumental bias and variability induced by observers. Hydrological Processes, 1–14  Publication DOI: https://doi.org/10.1002/hyp.13785
Project
  • Project title: ES1404 - A European network for a harmonised monitoring of snow for the benefit of climate change scenarios, hydrology and numerical weather prediction - HARMOSNOW  Project ID: ES1404  Project description: Snow cover is an essential climate variable directly affecting the Earth energy balance. Snow cover has a number of important physical properties that exert an influence on global and regional energy, water and carbon cycles. Its quantification in a changing climate is thus important for various environmental and economic impact assessments. Proper description and assimilation of snow cover information into hydrological, land surface, meteorological and climate models are critical to address the impact of snow on various phenomena, to predict local snow water resources and to warn about snow-related natural hazards. This induces a challenging problem of bridging information from micro-structural scales of the snowpack up to the grid resolution in models. European research teams have developed different snow measurement practices, instrumentation, algorithms and data assimilation techniques customised to their purposes. However, they lack harmonised approaches, validation and methodologies. The Action will co-ordinate efforts to address these issues, through establishing harmonized monitoring practices, enhancing the use of observations by promoting new observing strategies, bringing together different communities, facilitating data transfer, upgrading and enlarging knowledge through networking, exchange and training, and linking them to activities in international agencies and global networks.  Project homepage: harmosnow.org  Project financing institution: EU Framework Programme Horizon 2020