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Glide-snow avalanche characteristics at different timescales extracted from time-lapse photography
Fees, A., van Herwijnen, A., Altenbach, M., Lombardo, M., & Schweizer, J. (2023). Glide-snow avalanche characteristics at different timescales extracted from time-lapse photography. Annals of Glaciology. https://doi.org/10.1017/aog.2023.37
Stress measurements in the weak layer during snow stability tests
Griesser, S., Pielmeier, C., Boutera Toft, H., & Reiweger, I. (2023). Stress measurements in the weak layer during snow stability tests. Annals of Glaciology. https://doi.org/10.1017/aog.2023.49
Automated prediction of wet-snow avalanche activity in the Swiss Alps
Hendrick, M., Techel, F., Volpi, M., Olevski, T., Pérez-Guillén, C., van Herwijnen, A., & Schweizer, J. (2023). Automated prediction of wet-snow avalanche activity in the Swiss Alps. Journal of Glaciology (14 pp.). https://doi.org/10.1017/jog.2023.24
Uptake of hydrogen peroxide from the gas phase to grain boundaries: a source in snow and ice
Hong, A. C., Ulrich, T., Thomson, E. S., Trachsel, J., Riche, F., Murphy, J. G., … Bartels-Rausch, T. (2023). Uptake of hydrogen peroxide from the gas phase to grain boundaries: a source in snow and ice. Environmental Science and Technology, 57(31), 11626-11633. https://doi.org/10.1021/acs.est.3c01457
Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory
Itkin, P., Hendricks, S., Webster, M., von Albedyll, L., Arndt, S., Divine, D., … Liston, G. E. (2023). Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory. Elementa: Science of the Anthropocene, 11(1), 11 (23 pp.). https://doi.org/10.1525/elementa.2022.00048
A quantile‐based approach to improve homogenization of snow depth time series
Resch, G., Koch, R., Marty, C., Chimani, B., Begert, M., Buchmann, M., … Schöner, W. (2023). A quantile‐based approach to improve homogenization of snow depth time series. International Journal of Climatology, 43(1), 157-173. https://doi.org/10.1002/joc.7742
Can big data and random forests improve avalanche runout estimation compared to simple linear regression?
Toft, H. B., Müller, K., Hendrikx, J., Jaedicke, C., & Bühler, Y. (2023). Can big data and random forests improve avalanche runout estimation compared to simple linear regression? Cold Regions Science and Technology, 211, 103844 (17 pp.). https://doi.org/10.1016/j.coldregions.2023.103844
Crack propagation speeds in weak snowpack layers
Bergfeld, B., Van Herwijnen, A., Bobillier, G., Larose, E., Moreau, L., Trottet, B., … Schweizer, J. (2022). Crack propagation speeds in weak snowpack layers. Journal of Glaciology, 68(269), 557-570. https://doi.org/10.1017/jog.2021.118
Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication
De Lannoy, G. J. M., Bechtold, M., Albergel, C., Brocca, L., Calvet, J. C., Carrassi, A., … Steele-Dunne, S. (2022). Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication. Frontiers in Water, 4, 981745 (14 pp.). https://doi.org/10.3389/frwa.2022.981745
A downscaling intercomparison study: the representation of slope- and ridge-scale processes in models of different complexity
Kruyt, B., Mott, R., Fiddes, J., Gerber, F., Sharma, V., & Reynolds, D. (2022). A downscaling intercomparison study: the representation of slope- and ridge-scale processes in models of different complexity. Frontiers in Earth Science, 10, 789332 (22 pp.). https://doi.org/10.3389/feart.2022.789332
Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations
Mallett, R. D. C., Stroeve, J. C., Tsamados, M., Willatt, R., Newman, T., Nandan, V., … Perovich, D. (2022). Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations. Journal of Glaciology, 68(271), 1014-1026. https://doi.org/10.1017/jog.2022.18
The microwave snow grain size: a new concept to predict satellite observations over snow-covered regions
Picard, G., Löwe, H., Domine, F., Arnaud, L., Larue, F., Favier, V., … Royer, A. (2022). The microwave snow grain size: a new concept to predict satellite observations over snow-covered regions. AGU Advances, 3(4), e2021AV000630 (19 pp.). https://doi.org/10.1029/2021AV000630
X-ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model
Sandells, M., Löwe, H., Picard, G., Dumont, M., Essery, R., Floury, N., … Mätzler, C. (2022). X-ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model. IEEE Transactions on Geoscience and Remote Sensing, 60(2), 4301115 (15 pp.). https://doi.org/10.1109/TGRS.2021.3086412
Modelling snowpack stability from simulated snow stratigraphy: summary and implementation examples
Viallon-Galinier, L., Hagenmuller, P., Reuter, B., & Eckert, N. (2022). Modelling snowpack stability from simulated snow stratigraphy: summary and implementation examples. Cold Regions Science and Technology, 201, 103596 (13 pp.). https://doi.org/10.1016/j.coldregions.2022.103596
Low-flow behavior of alpine catchments with varying quaternary cover under current and future climatic conditions
Arnoux, M., Brunner, P., Schaefli, B., Mott, R., Cochand, F., & Hunkeler, D. (2021). Low-flow behavior of alpine catchments with varying quaternary cover under current and future climatic conditions. Journal of Hydrology, 592, 125591 (15 pp.). https://doi.org/10.1016/j.jhydrol.2020.125591
Evaluating the robustness of snow climate indicators using a unique set of parallel snow measurement series
Buchmann, M., Begert, M., Brönnimann, S., & Marty, C. (2021). Evaluating the robustness of snow climate indicators using a unique set of parallel snow measurement series. International Journal of Climatology, 41(S1), E2553-E2563. https://doi.org/10.1002/joc.6863
Mapping avalanches with satellites - the vision of more complete avalanche datasets
Bühler, Y., Hafner, E., & Techel, F. (2021). Mapping avalanches with satellites - the vision of more complete avalanche datasets. In IEEE international geoscience and remote sensing symposium (IGARSS). 2021 IEEE international geoscience & remote sensing symposium. Proceedings (pp. 232-235). https://doi.org/10.1109/IGARSS47720.2021.9553577
A casting method using contrast-enhanced diethylphthalate for micro-computed tomography of snow
Lombardo, M., Schneebeli, M., & Löwe, H. (2021). A casting method using contrast-enhanced diethylphthalate for micro-computed tomography of snow. Journal of Glaciology, 67(265), 847-861. https://doi.org/10.1017/jog.2021.35
Snow interception modelling: isolated observations have led to many land surface models lacking appropriate temperature sensitivities
Lundquist, J. D., Dickerson-Lange, S., Gutmann, E., Jonas, T., Lumbrazo, C., & Reynolds, D. (2021). Snow interception modelling: isolated observations have led to many land surface models lacking appropriate temperature sensitivities. Hydrological Processes, 35(7), e14274 (20 pp.). https://doi.org/10.1002/hyp.14274
Evaluation of stereology for snow microstructure measurement and microwave emission modeling: a case study
Pan, J., Durand, M. T., Courville, Z., Vander Jagt, B. J., Molotch, N. P., Margulis, S. A., … Mätzler, C. (2021). Evaluation of stereology for snow microstructure measurement and microwave emission modeling: a case study. International Journal of Digital Earth, 14(10), 1316-1336. https://doi.org/10.1080/17538947.2021.1902006
 

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