Articles | Volume 9, issue 3
https://doi.org/10.5194/tc-9-1191-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-9-1191-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Jun 2015
Research article |
| 05 Jun 2015
User requirements for the snow and land ice services – CryoLand
E. Malnes
CORRESPONDING AUTHOR
Norut, Tromsø, Norway
A. Buanes
Norut, Tromsø, Norway
T. Nagler
ENVEO, Innsbruck, Austria
G. Bippus
ENVEO, Innsbruck, Austria
D. Gustafsson
Swedish Meteorological and Hydrological Institute, Norrkjöping, Sweden
C. Schiller
EOX, Vienna, Austria
S. Metsämäki
Finish Environmental Institute, Helsinki, Finland
J. Pulliainen
Finish Meteorological Institute, Helsinki, Finland
K. Luojus
Finish Meteorological Institute, Helsinki, Finland
H. E. Larsen
Kongsberg Satellite Services, Tromsø, Norway
R. Solberg
Norwegian Computing Centre, Oslo, Norway
A. Diamandi
Administratia Nationala de Meteorologie, Bucharest, Romania
A. Wiesmann
Gamma Remote Sensing, Bern, Switzerland
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Cited
12 citations as recorded by crossref.
- Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting J. Musuuza et al. 10.1029/2022WR033655
- Behandlung künstlicher Speicher und Überleitungen in der alpinen Niederschlags-Abfluss-Vorhersage J. Wesemann et al. 10.1007/s00506-018-0501-9
- Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data S. Gascoin et al. 10.5194/essd-11-493-2019
- Estimating Fractional Snow Cover in Open Terrain from Sentinel-2 Using the Normalized Difference Snow Index S. Gascoin et al. 10.3390/rs12182904
- Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions J. Musuuza et al. 10.3390/rs12050811
- Variations of Climate, Surface Energy Budget, and Minimum Snow/Ice Extent over Canadian Arctic Landmass for 2000–16 A. Trishchenko & S. Wang 10.1175/JCLI-D-17-0198.1
- Brief communication: Evaluation of the snow cover detection in the Copernicus High Resolution Snow & Ice Monitoring Service Z. Barrou Dumont et al. 10.5194/tc-15-4975-2021
- Performance Assessment of Optical Satellite-Based Operational Snow Cover Monitoring Algorithms in Forested Landscapes A. Muhuri et al. 10.1109/JSTARS.2021.3089655
- On the Use of COSMO-SkyMed X-Band SAR for Estimating Snow Water Equivalent in Alpine Areas: A Retrieval Approach Based on Machine Learning and Snow Models E. Santi et al. 10.1109/TGRS.2022.3191409
- A Novel Approach Based on a Hierarchical Multiresolution Analysis of Optical Time Series to Reconstruct the Daily High-Resolution Snow Cover Area V. Premier et al. 10.1109/JSTARS.2021.3103585
- Remote sensing of mountain snow from space: status and recommendations S. Gascoin et al. 10.3389/feart.2024.1381323
- Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. 10.1007/s11629-017-4587-5
12 citations as recorded by crossref.
- Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting J. Musuuza et al. 10.1029/2022WR033655
- Behandlung künstlicher Speicher und Überleitungen in der alpinen Niederschlags-Abfluss-Vorhersage J. Wesemann et al. 10.1007/s00506-018-0501-9
- Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data S. Gascoin et al. 10.5194/essd-11-493-2019
- Estimating Fractional Snow Cover in Open Terrain from Sentinel-2 Using the Normalized Difference Snow Index S. Gascoin et al. 10.3390/rs12182904
- Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions J. Musuuza et al. 10.3390/rs12050811
- Variations of Climate, Surface Energy Budget, and Minimum Snow/Ice Extent over Canadian Arctic Landmass for 2000–16 A. Trishchenko & S. Wang 10.1175/JCLI-D-17-0198.1
- Brief communication: Evaluation of the snow cover detection in the Copernicus High Resolution Snow & Ice Monitoring Service Z. Barrou Dumont et al. 10.5194/tc-15-4975-2021
- Performance Assessment of Optical Satellite-Based Operational Snow Cover Monitoring Algorithms in Forested Landscapes A. Muhuri et al. 10.1109/JSTARS.2021.3089655
- On the Use of COSMO-SkyMed X-Band SAR for Estimating Snow Water Equivalent in Alpine Areas: A Retrieval Approach Based on Machine Learning and Snow Models E. Santi et al. 10.1109/TGRS.2022.3191409
- A Novel Approach Based on a Hierarchical Multiresolution Analysis of Optical Time Series to Reconstruct the Daily High-Resolution Snow Cover Area V. Premier et al. 10.1109/JSTARS.2021.3103585
- Remote sensing of mountain snow from space: status and recommendations S. Gascoin et al. 10.3389/feart.2024.1381323
- Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. 10.1007/s11629-017-4587-5
Saved (final revised paper)
Latest update: 04 Nov 2024
Short summary
The paper provides detailed information on the outcome of a user survey carried out in the EU FP7 project CryoLand. The project focuses on monitoring of seasonal snow, glaciers and lake/river ice. The user survey showed that a European operational snow and land ice service is required and that there exists products that can meet the specific needs. The majority of the users were mainly interested in the snow services, but also the lake/river ice products and the glacier products were desired.
The paper provides detailed information on the outcome of a user survey carried out in the EU...
