Articles | Volume 18, issue 4
https://doi.org/10.5194/tc-18-1561-2024
https://doi.org/10.5194/tc-18-1561-2024
Research article
 | 
05 Apr 2024
Research article |  | 05 Apr 2024

Snow water equivalent retrieved from X- and dual Ku-band scatterometer measurements at Sodankylä using the Markov Chain Monte Carlo method

Jinmei Pan, Michael Durand, Juha Lemmetyinen, Desheng Liu, and Jiancheng Shi

Related authors

Similarities between sea ice area variations and satellite-derived terrestrial biosphere and cryosphere parameters across the Arctic
Annett Bartsch, Rodrigue Tanguy, Helena Bergstedt, Clemens von Baeckmann, Hans Tømmervik, Marc Macias-Fauria, Juha Lemmentiynen, Kimmo Rautiainen, Chiara Gruber, and Bruce C. Forbes
EGUsphere, https://doi.org/10.5194/egusphere-2025-1358,https://doi.org/10.5194/egusphere-2025-1358, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
An operational SMOS soil freeze-thaw product
Kimmo Rautiainen, Manu Holmberg, Juval Cohen, Arnaud Mialon, Mike Schwank, Juha Lemmetyinen, Antonio de la Fuente, and Yann Kerr
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-68,https://doi.org/10.5194/essd-2025-68, 2025
Preprint under review for ESSD
Short summary
A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0
Wolfgang Knorr, Matthew Williams, Tea Thum, Thomas Kaminski, Michael Voßbeck, Marko Scholze, Tristan Quaife, T. Luke Smallman, Susan C. Steele-Dunne, Mariette Vreugdenhil, Tim Green, Sönke Zaehle, Mika Aurela, Alexandre Bouvet, Emanuel Bueechi, Wouter Dorigo, Tarek S. El-Madany, Mirco Migliavacca, Marika Honkanen, Yann H. Kerr, Anna Kontu, Juha Lemmetyinen, Hannakaisa Lindqvist, Arnaud Mialon, Tuuli Miinalainen, Gaétan Pique, Amanda Ojasalo, Shaun Quegan, Peter J. Rayner, Pablo Reyes-Muñoz, Nemesio Rodríguez-Fernández, Mike Schwank, Jochem Verrelst, Songyan Zhu, Dirk Schüttemeyer, and Matthias Drusch
Geosci. Model Dev., 18, 2137–2159, https://doi.org/10.5194/gmd-18-2137-2025,https://doi.org/10.5194/gmd-18-2137-2025, 2025
Short summary
A high-resolution (0.05°) global seamless continuity record (2002–2023) of near-surface soil freeze-thaw states via passive microwave and optical satellite data
Defeng Feng, Tianjie Zhao, Jingyao Zheng, Yu Bai, Youhua Ran, Xiaokang Kou, Lingmei Jiang, Ziqian Zhang, Pei Yu, Jinbiao Zhu, Jie Pan, Jiancheng Shi, and Yuei-An Liou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-62,https://doi.org/10.5194/essd-2025-62, 2025
Preprint under review for ESSD
Short summary
Object-based ensemble estimation of snow depth and snow water equivalent over multiple months in Sodankylä, Finland
David Brodylo, Lauren V. Bosche, Ryan R. Busby, Elias J. Deeb, Thomas A. Douglas, and Juha Lemmetyinen
EGUsphere, https://doi.org/10.5194/egusphere-2024-3936,https://doi.org/10.5194/egusphere-2024-3936, 2025
Short summary

Related subject area

Discipline: Snow | Subject: Remote Sensing
Mapping seasonal snow melting in Karakoram using SAR and topographic data
Shiyi Li, Lanqing Huang, Philipp Bernhard, and Irena Hajnsek
The Cryosphere, 19, 1621–1639, https://doi.org/10.5194/tc-19-1621-2025,https://doi.org/10.5194/tc-19-1621-2025, 2025
Short summary
Do we still need reflectance? From radiance to snow properties in mountainous terrain: a case study with the EMIT imaging spectrometer
Niklas Bohn, Edward H. Bair, Philip G. Brodrick, Nimrod Carmon, Robert O. Green, Thomas H. Painter, and David R. Thompson
The Cryosphere, 19, 1279–1302, https://doi.org/10.5194/tc-19-1279-2025,https://doi.org/10.5194/tc-19-1279-2025, 2025
Short summary
Temporal stability of a new 40-year daily AVHRR land surface temperature dataset for the pan-Arctic region
Sonia Dupuis, Frank-Michael Göttsche, and Stefan Wunderle
The Cryosphere, 18, 6027–6059, https://doi.org/10.5194/tc-18-6027-2024,https://doi.org/10.5194/tc-18-6027-2024, 2024
Short summary
Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites
Zachary Hoppinen, Ross T. Palomaki, George Brencher, Devon Dunmire, Eric Gagliano, Adrian Marziliano, Jack Tarricone, and Hans-Peter Marshall
The Cryosphere, 18, 5407–5430, https://doi.org/10.5194/tc-18-5407-2024,https://doi.org/10.5194/tc-18-5407-2024, 2024
Short summary
Evaluation of the Snow CCI Snow Covered Area Product within a Mountain Snow Water Equivalent Reanalysis
Haorui Sun, Yiwen Fang, Steven Margulis, Colleen Mortimer, Lawrence Mudryk, and Chris Derksen
EGUsphere, https://doi.org/10.5194/egusphere-2024-3213,https://doi.org/10.5194/egusphere-2024-3213, 2024
Short summary

Cited articles

Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, https://doi.org/10.1038/nature04141, 2005. 
Brown, R. D. and Robinson, D. A.: Northern Hemisphere spring snow cover variability and change over 1922–2010 including an assessment of uncertainty, The Cryosphere, 5, 219–229, https://doi.org/10.5194/tc-5-219-2011, 2011. 
Cline, D., Elder, K., Davis, R., Hardy, J., Liston, G., Imel, D., Yueh, S., Gasiewski, A., Koh, G., Armstrong, R., and Parsons, M.: Overview of the NASA cold land processes field experiment (CLPX-2002), Proc SPIE, 4894, https://doi.org/10.1117/12.467766, 2003. 
Cui, Y., Xiong, C., Lemmetyinen, J., Shi, J., Jiang, L., Peng, B., Li, H., Zhao, T., Ji, D., and Hu, T.: Estimating snow water equivalent with backscattering at X and Ku band based on absorption loss, Remote Sens., 8, 505, https://doi.org/10.3390/rs8060505, 2016. 
Derksen, C., King, J., Belair, S., Garnaud, C., Vionnet, V., Fortin, V., Lemmetyinen, J., Crevier, Y., Plourde, P., Lawrence, B., van Mierlo, H., Burbidge, G., and Siqueira, P.: Development of the Terrestrial Snow Mass Mission, in: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 614–617, https://doi.org/10.1109/IGARSS47720.2021.9553496, 2021. 
Download
Short summary
We developed an algorithm to estimate snow mass using X- and dual Ku-band radar, and tested it in a ground-based experiment. The algorithm, the Bayesian-based Algorithm for SWE Estimation (BASE) using active microwaves, achieved an RMSE of 30 mm for snow water equivalent. These results demonstrate the potential of radar, a highly promising sensor, to map snow mass at high spatial resolution.
Share