The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 1
Articles | Volume 20, issue 1
https://doi.org/10.5194/tc-20-171-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-171-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 1
Brief communication
 | 
13 Jan 2026
Brief communication |  | 13 Jan 2026

Brief communication: Sensitivity analysis of peak water to ice thickness and temperature: A case study in the Western Kunlun Mountains of the Tibetan Plateau

Lucille Gimenes, Romain Millan, Nicolas Champollion, and Jordi Bolibar

Related authors

Machine learning improves seasonal mass balance prediction for unmonitored glaciers
Kamilla Hauknes Sjursen, Jordi Bolibar, Marijn van der Meer, Liss Marie Andreassen, Julian Peter Biesheuvel, Thorben Dunse, Matthias Huss, Fabien Maussion, David R. Rounce, and Brandon Tober
The Cryosphere, 19, 5801–5826, https://doi.org/10.5194/tc-19-5801-2025,https://doi.org/10.5194/tc-19-5801-2025, 2025
Short summary
Brief communication: Updated grounding line mapping in the Amundsen Sea Embayment, Antarctica, from 1-day repeat Sentinel-1 SAR data
Jonas Kvist Andersen, Romain Millan, Eric Rignot, Bernd Scheuchl, Jean Baptiste Barré, and Anders Anker Bjørk
EGUsphere, https://doi.org/10.5194/egusphere-2025-4471,https://doi.org/10.5194/egusphere-2025-4471, 2025
Short summary
TICOI: an operational Python package to generate regular glacier velocity time series
Laurane Charrier, Amaury Dehecq, Lei Guo, Fanny Brun, Romain Millan, Nathan Lioret, Luke Copland, Nathan Maier, Christine Dow, and Paul Halas
The Cryosphere, 19, 4555–4583, https://doi.org/10.5194/tc-19-4555-2025,https://doi.org/10.5194/tc-19-4555-2025, 2025
Short summary
Brief communication: Storstrømmen Glacier, northeastern Greenland, primed for end-of-decade surge
Jonas K. Andersen, Rasmus P. Meyer, Flora S. Huiban, Mads L. Dømgaard, Romain Millan, and Anders A. Bjørk
The Cryosphere, 19, 1717–1724, https://doi.org/10.5194/tc-19-1717-2025,https://doi.org/10.5194/tc-19-1717-2025, 2025
Short summary
Brief communication: Potential of satellite optical imagery to monitor glacier surface flow velocity variability in the tropical Andes
Etienne Ducasse, Romain Millan, Jonas Kvist Andersen, and Antoine Rabatel
The Cryosphere, 19, 911–917, https://doi.org/10.5194/tc-19-911-2025,https://doi.org/10.5194/tc-19-911-2025, 2025
Short summary
More articles (8)

Cited articles

Aguayo, R., Maussion, F., Schuster, L., Schaefer, M., Caro, A., Schmitt, P., Mackay, J., Ultee, L., Leon-Muñoz, J., and Aguayo, M.: Unravelling the sources of uncertainty in glacier runoff projections in the Patagonian Andes (40–56° S), The Cryosphere, 18, 5383–5406, https://doi.org/10.5194/tc-18-5383-2024, 2024. a, b, c
Arias, P. A., Bellouin, N., Coppola, E., Jones, R. G., Krinner, G., Marotzke, J., Naik, V., Palmer, M. D., Plattner, G.-K., Rogelj, J., Rojas, M., Sillmann, J., Storelvmo, T., Thorne, P. W., Trewin, B., Achuta Rao, K., Adhikary, B., Allan, R. P., Armour, K., Bala, G., Barimalala, R., Berger, S., Canadell, J. G., Cassou, C., Cherchi, A., Collins, W., Collins, W. D., Connors, S. L., Corti, S., Cruz, F., Dentener, F. J., Dereczynski, C., Di Luca, A., Diongue Niang, A., Doblas-Reyes, F. J., Dosio, A., Douville, H., Engelbrecht, F., Eyring, V., Fischer, E., Forster, P., Fox-Kemper, B., Fuglestvedt, J. S., Fyfe, J. C., Gillett, N. P., Goldfarb, L., Gorodetskaya, I., Gutierrez, J. M., Hamdi, R., Hawkins, E., Hewitt, H. T., Hope, P., Islam, A. S., Jones, C., Kaufman, D. S., Kopp, R. E., Kosaka, Y., Kossin, J., Krakovska, S., Lee, J.-Y., Li, J., Mauritsen, T., Maycock, T. K., Meinshausen, M., Min, S.-K., Monteiro, P. M. S., Ngo-Duc, T., Otto, F., Pinto, I., Pirani, A., Raghavan, K., Ranasinghe, R., Ruane, A. C., Ruiz, L., Sallée, J.-B., Samset, B. H., Sathyendranath, S., Seneviratne, S. I., Sörensson, A. A., Szopa, S., Takayabu, I., Tréguier, A.-M., van den Hurk, B., Vautard, R., von Schuckmann, K., Zaehle, S., Zhang, X., and Zickfeld, K.: Technical Summary, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 33–144, https://doi.org/10.1017/9781009157896.002, 2021. a
Bolibar, J., Sapienza, F., Maussion, F., Lguensat, R., Wouters, B., and Pérez, F.: Universal differential equations for glacier ice flow modelling, Geosci. Model Dev., 16, 6671–6687, https://doi.org/10.5194/gmd-16-6671-2023, 2023. a, b
Brun, F., Berthier, E., Wagnon, P., Kääb, A., and Treichler, D.: A spatially resolved estimate of High Mountain Asia glacier mass, Nature Geoscience, 10, 668–673, https://doi.org/10.1038/ngeo2999, 2017. a
Caro, A., Condom, T., Rabatel, A., and Champollion, N.: Future glacio-hydrological changes in the Andes: a focus on near-future projections up to 2050, Scientific Reports, 15, https://doi.org/10.1038/s41598-025-88069-2, 2025. a
More articles (36)
Download
Short summary
This study looks how changes in glacier thickness estimates and temperature will affect the timing when meltwater from glaciers in the western Kunlun Mountains will reach its peak. Using a global glacier model and two different datasets, we found that thinner glaciers and warmer temperatures cause peak meltwater to happen sooner. This is of interests since it affects future water supplies for people relying on glacier runoff, highlighting the need for accurate ice volume estimates.
Read more
Share