Articles | Volume 18
https://doi.org/10.5194/asr-18-7-2021
https://doi.org/10.5194/asr-18-7-2021
24 Feb 2021
 | 24 Feb 2021

Multi-sensor analysis of monthly gridded snow precipitation on alpine glaciers

Rebecca Gugerli, Matteo Guidicelli, Marco Gabella, Matthias Huss, and Nadine Salzmann

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Brief communication: Application of a muonic cosmic ray snow gauge to monitor the snow water equivalent on alpine glaciers
Rebecca Gugerli, Darin Desilets, and Nadine Salzmann
The Cryosphere, 16, 799–806, https://doi.org/10.5194/tc-16-799-2022,https://doi.org/10.5194/tc-16-799-2022, 2022
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Continuous and autonomous snow water equivalent measurements by a cosmic ray sensor on an alpine glacier
Rebecca Gugerli, Nadine Salzmann, Matthias Huss, and Darin Desilets
The Cryosphere, 13, 3413–3434, https://doi.org/10.5194/tc-13-3413-2019,https://doi.org/10.5194/tc-13-3413-2019, 2019
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Cited articles

Buisán, S. T., Smith, C. D., Ross, A., Kochendorfer, J., Collado, J. L., Alastrué, J., Wolff, M., Roulet, Y. A., Earle, M. E., Laine, T., Rasmussen, R., and Nitu, R.: The potential for uncertainty in Numerical Weather Prediction model verification when using solid precipitation observations, Atmos. Sci. Lett., 21, e976, https://doi.org/10.1002/asl.976, 2020. a, b
COSMO: MeteoSwiss Operational Applications within COSMO, Tech. rep., Consortium for Small-Scale Modeling, available at: http://www.cosmo-model.org/content/tasks/operational/meteoSwiss/default.htm (last access: 7 July 2020), 2018. a
COSMO: COSMO-Model, available at: http://www.cosmo-model.org/, last access: 7 July 2020. a
Doms, G. and Baldauf, M.: A description of the nonhydrostatic regional COSMO-Model, Deutscher Wetterdienst, Business Area “Research and Development”, Offenbach, Germany, https://doi.org/10.5676/DWD_pub/nwv/cosmo-doc_5.00_I, 2013. a
Fassnacht, S. R., Brown, K. S. J., Blumberg, E. J., López Moreno, J. I., Covino, T. P., Kappas, M., Huang, Y., Leone, V., Kashipazha, A. H., Moreno, J. I. L., and Covino, T. P.: Distribution of snow depth variability, Front. Earth Sci., 12, 683–692, https://doi.org/10.1007/s11707-018-0714-z, 2018. a
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Short summary
To obtain reliable snowfall estimates in high mountain remains a challenge. This study uses daily snow water equivalent (SWE) estimates by a cosmic ray sensor on two Swiss glaciers to assess three readily-available high-quality precipitation products. We find a large bias between in situ SWE and snowfall, which differs among the precipitation products, the two sites, the winter seasons and in situ meteorological conditions. All products have great potential for various applications in the Alps.