Articles | Volume 14, issue 3
https://doi.org/10.5194/tc-14-935-2020
https://doi.org/10.5194/tc-14-935-2020
Research article
 | 
12 Mar 2020
Research article |  | 12 Mar 2020

Use of Sentinel-1 radar observations to evaluate snowmelt dynamics in alpine regions

Carlo Marin, Giacomo Bertoldi, Valentina Premier, Mattia Callegari, Christian Brida, Kerstin Hürkamp, Jochen Tschiersch, Marc Zebisch, and Claudia Notarnicola

Related authors

Unlocking the potential of melting calorimetry: a field protocol for liquid water content measurement in snow
Riccardo Barella, Mathias Bavay, Francesca Carletti, Nicola Ciapponi, Valentina Premier, and Carlo Marin
The Cryosphere, 18, 5323–5345, https://doi.org/10.5194/tc-18-5323-2024,https://doi.org/10.5194/tc-18-5323-2024, 2024
Short summary
Unlocking the Potential of Melting Calorimetry: A Field Protocol for Liquid Water Content Measurement in Snow
Riccardo Barella, Mathias Bavay, Francesca Carletti, Nicola Ciapponi, Valentina Premier, and Carlo Marin
EGUsphere, https://doi.org/10.5194/egusphere-2023-2892,https://doi.org/10.5194/egusphere-2023-2892, 2024
Preprint archived
Short summary
Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments
Valentina Premier, Carlo Marin, Giacomo Bertoldi, Riccardo Barella, Claudia Notarnicola, and Lorenzo Bruzzone
The Cryosphere, 17, 2387–2407, https://doi.org/10.5194/tc-17-2387-2023,https://doi.org/10.5194/tc-17-2387-2023, 2023
Short summary
Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas
Xiaodan Wu, Kathrin Naegeli, Valentina Premier, Carlo Marin, Dujuan Ma, Jingping Wang, and Stefan Wunderle
The Cryosphere, 15, 4261–4279, https://doi.org/10.5194/tc-15-4261-2021,https://doi.org/10.5194/tc-15-4261-2021, 2021
Short summary
Evaluating a prediction system for snow management
Pirmin Philipp Ebner, Franziska Koch, Valentina Premier, Carlo Marin, Florian Hanzer, Carlo Maria Carmagnola, Hugues François, Daniel Günther, Fabiano Monti, Olivier Hargoaa, Ulrich Strasser, Samuel Morin, and Michael Lehning
The Cryosphere, 15, 3949–3973, https://doi.org/10.5194/tc-15-3949-2021,https://doi.org/10.5194/tc-15-3949-2021, 2021
Short summary

Related subject area

Discipline: Snow | Subject: Remote Sensing
Improved snow property retrievals by solving for topography in the inversion of at-sensor radiance measurements
Brenton A. Wilder, Joachim Meyer, Josh Enterkine, and Nancy F. Glenn
The Cryosphere, 18, 5015–5029, https://doi.org/10.5194/tc-18-5015-2024,https://doi.org/10.5194/tc-18-5015-2024, 2024
Short summary
Simulation of Arctic snow microwave emission in surface-sensitive atmosphere channels
Melody Sandells, Nick Rutter, Kirsty Wivell, Richard Essery, Stuart Fox, Chawn Harlow, Ghislain Picard, Alexandre Roy, Alain Royer, and Peter Toose
The Cryosphere, 18, 3971–3990, https://doi.org/10.5194/tc-18-3971-2024,https://doi.org/10.5194/tc-18-3971-2024, 2024
Short summary
Retrieval of snow and soil properties for forward radiative transfer modeling of airborne Ku-band SAR to estimate snow water equivalent: the Trail Valley Creek 2018/19 snow experiment
Benoit Montpetit, Joshua King, Julien Meloche, Chris Derksen, Paul Siqueira, J. Max Adam, Peter Toose, Mike Brady, Anna Wendleder, Vincent Vionnet, and Nicolas R. Leroux
The Cryosphere, 18, 3857–3874, https://doi.org/10.5194/tc-18-3857-2024,https://doi.org/10.5194/tc-18-3857-2024, 2024
Short summary
Evaluating L-band InSAR snow water equivalent retrievals with repeat ground-penetrating radar and terrestrial lidar surveys in northern Colorado
Randall Bonnell, Daniel McGrath, Jack Tarricone, Hans-Peter Marshall, Ella Bump, Caroline Duncan, Stephanie Kampf, Yunling Lou, Alex Olsen-Mikitowicz, Megan Sears, Keith Williams, Lucas Zeller, and Yang Zheng
The Cryosphere, 18, 3765–3785, https://doi.org/10.5194/tc-18-3765-2024,https://doi.org/10.5194/tc-18-3765-2024, 2024
Short summary
Reanalyzing the spatial representativeness of snow depth at automated monitoring stations using airborne lidar data
Jordan N. Herbert, Mark S. Raleigh, and Eric E. Small
The Cryosphere, 18, 3495–3512, https://doi.org/10.5194/tc-18-3495-2024,https://doi.org/10.5194/tc-18-3495-2024, 2024
Short summary

Cited articles

Avanzi, F., De Michele, C., Morin, S., Carmagnola, C. M., Ghezzi, A., and Lejeune, Y.: Model complexity and data requirements in snow hydrology: seeking a balance in practical applications, Hydrol. Process., 30, 2106–2118, https://doi.org/10.1002/hyp.10782, 2016. a
Baghdadi, N., Gauthier, Y., Bernier, M., and Fortin, J.-P.: Potential and limitations of RADARSAT SAR data for wet snow monitoring, IEEE T. Geosci. Remote, 38, 316–320, https://doi.org/10.1109/36.823925, 2000. a
Bartelt, P. and Lehning, M.: A physical SNOWPACK model for the Swiss avalanche warning: Part I: numerical model, Cold Reg. Sci. Technol., 35, 123–145, https://doi.org/10.1016/S0165-232X(02)00074-5, 2002. a, b, c
Bavay, M. and Egger, T.: MeteoIO 2.4.2: a preprocessing library for meteorological data, Geosci. Model Dev., 7, 3135–3151, https://doi.org/10.5194/gmd-7-3135-2014, 2014. a
Bellaire, S., van Herwijnen, A., Mitterer, C., and Schweizer, J.: On forecasting wet-snow avalanche activity using simulated snow cover data, Cold Reg. Sci. Technol., 144, 28–38, https://doi.org/10.1016/J.COLDREGIONS.2017.09.013, 2017. a
Download
Short summary
In this paper, we use for the first time the synthetic aperture radar (SAR) time series acquired by Sentinel-1 to monitor snowmelt dynamics in alpine regions. We found that the multitemporal SAR allows the identification of the three phases that characterize the melting process, i.e., moistening, ripening and runoff, in a spatial distributed way. We believe that the presented investigation could have relevant applications for monitoring and predicting the snowmelt progress over large regions.