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	10.5281/zenodo.2549309
External resource	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: 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