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Isotopic signatures of snow, sea ice, and surface seawater in the central Arctic Ocean during the MOSAiC expedition
Mellat, M., Brunello, C. F., Werner, M., Bauch, D., Damm, E., Angelopoulos, M., … Meyer, H. (2024). Isotopic signatures of snow, sea ice, and surface seawater in the central Arctic Ocean during the MOSAiC expedition. Elementa: Science of the Anthropocene, 12(1), 00078 (27 pp.). https://doi.org/10.1525/elementa.2023.00078
The extraordinary March 2022 East Antarctica “heat” wave. Part II: impacts on the Antarctic ice sheet
Wille, J. D., Alexander, S. P., Amory, C., Baiman, R., Barthélemy, L., Bergstrom, D. M., … Zou, X. (2024). The extraordinary March 2022 East Antarctica “heat” wave. Part II: impacts on the Antarctic ice sheet. Journal of Climate, 37(3), 779-799. https://doi.org/10.1175/JCLI-D-23-0176.1
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 snowpack during compression tests
Griesser, S., Pielmeier, C., & Reiweger, I. (2023). Stress measurements in the snowpack during compression tests. In ISSW proceedings. International snow science workshop proceedings 2023 (pp. 478-480).
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, 69(277), 1365-1378. 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 method for imaging water transport in soil-snow systems with neutron radiography
Lombardo, M., Lehmann, P., Kaestner, A., Fees, A., van Herwijnen, A., & Schweizer, J. (2023). A method for imaging water transport in soil-snow systems with neutron radiography. Annals of Glaciology. https://doi.org/10.1017/aog.2023.65
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
Sea ice concentration satellite retrievals influenced by surface changes due to warm air intrusions: a case study from the MOSAiC expedition
Rückert, J. E., Rostosky, P., Huntemann, M., Clemens-Sewall, D., Ebell, K., Kaleschke, L., … Spreen, G. (2023). Sea ice concentration satellite retrievals influenced by surface changes due to warm air intrusions: a case study from the MOSAiC expedition. Elementa: Science of the Anthropocene, 11(1), 00039 (22 pp.). https://doi.org/10.1525/elementa.2023.00039
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
 

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