Articles | Volume 19, issue 11
https://doi.org/10.5194/tc-19-5283-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-5283-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Contrasting patterns of change in snowline altitude across five Himalayan catchments
Graduate School of Environmental Studies, Nagoya University, Nagoya, 484–8601, Japan
now at: Institute of Science Tokyo, Tokyo, Japan
Swiss Federal Institute for Forest, Snow, and Landscape Research WSL, Birmensdorf, 8903, Switzerland
Glaciology and Geomorphodynamics Group, Department of Geography, University of Zurich, Zurich, 8006, Switzerland
Cryosphere Group, Department of Geosciences, University of Fribourg, Fribourg, 1700, Switzerland
Francesca Pellicciotti
Institute of Science and Technology Austria, Klosterneuburg, Austria
Akiko Sakai
Graduate School of Environmental Studies, Nagoya University, Nagoya, 484–8601, Japan
Koji Fujita
Graduate School of Environmental Studies, Nagoya University, Nagoya, 484–8601, Japan
Related authors
No articles found.
Adrià Fontrodona-Bach, Lars Groeneveld, Evan Miles, Michael McCarthy, Thomas Shaw, Vicente Melo Velasco, and Francesca Pellicciotti
Earth Syst. Sci. Data, 17, 4213–4234, https://doi.org/10.5194/essd-17-4213-2025, https://doi.org/10.5194/essd-17-4213-2025, 2025
Short summary
Short summary
Glaciers with a layer of rocky debris on their surfaces are distinct from clean-ice glaciers, with debris mostly insulating the glacier ice. However, debris data are scarce. We present the Debris Database (DebDaB), a database of debris thickness and physical properties of debris, with data from 84 glaciers in 13 global glacier regions compiled from 172 sources and including previously unpublished data. DebDaB serves as an open central repository for the scientific community to do research on debris-covered glaciers.
Francesca Pellicciotti, Adrià Fontrodona-Bach, David R. Rounce, Catriona L. Fyffe, Leif S. Anderson, Álvaro Ayala, Ben W. Brock, Pascal Buri, Stefan Fugger, Koji Fujita, Prateek Gantayat, Alexander R. Groos, Walter Immerzeel, Marin Kneib, Christoph Mayer, Shelley MacDonell, Michael McCarthy, James McPhee, Evan Miles, Heather Purdie, Ekaterina Rets, Akiko Sakai, Thomas E. Shaw, Jakob Steiner, Patrick Wagnon, and Alex Winter-Billington
EGUsphere, https://doi.org/10.5194/egusphere-2025-3837, https://doi.org/10.5194/egusphere-2025-3837, 2025
Short summary
Short summary
Rock debris covers many of the world glaciers, modifying the transfer of atmospheric energy to the debris and into the ice. Models of different complexity simulate this process, and we compare 14 models at 9 sites to show that the most complex models at the debris-atmosphere interface have the highest performance. However, we lack debris properties and their derivation from measurements is ambiguous, hindering global modelling and calling for both model development and data collection.
Jakob Steiner, William Armstrong, Will Kochtitzky, Robert McNabb, Rodrigo Aguayo, Tobias Bolch, Fabien Maussion, Vibhor Agarwal, Iestyn Barr, Nathaniel R. Baurley, Mike Cloutier, Katelyn DeWater, Frank Donachie, Yoann Drocourt, Siddhi Garg, Gunjan Joshi, Byron Guzman, Stanislav Kutuzov, Thomas Loriaux, Caleb Mathias, Biran Menounos, Evan Miles, Aleksandra Osika, Kaleigh Potter, Adina Racoviteanu, Brianna Rick, Miles Sterner, Guy D. Tallentire, Levan Tielidze, Rebecca White, Kunpeng Wu, and Whyjay Zheng
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-315, https://doi.org/10.5194/essd-2025-315, 2025
Preprint under review for ESSD
Short summary
Short summary
Many mountain glaciers around the world flow into lakes – exactly how many however, has never been mapped. Across a large team of experts we have now identified all glaciers that end in lakes. Only about 1% do so, but they are generally larger than those which end on land. This is important to understand, as lakes can influence the behaviour of glacier ice, including how fast it disappears. This new dataset allows us to better model glaciers at a global scale, accounting for the effect of lakes.
Zhao Wei, Shohei Hattori, Asuka Tsuruta, Zhuang Jiang, Sakiko Ishino, Koji Fujita, Sumito Matoba, Lei Geng, Alexis Lamothe, Ryu Uemura, Naohiro Yoshida, Joel Savarino, and Yoshinori Iizuka
Atmos. Chem. Phys., 25, 5727–5742, https://doi.org/10.5194/acp-25-5727-2025, https://doi.org/10.5194/acp-25-5727-2025, 2025
Short summary
Short summary
Nitrate isotope records in ice cores reveal changes in NOₓ emissions and atmospheric oxidation chemistry driven by human activity. However, UV-driven postdepositional processes can alter nitrate in snow, making snow accumulation rates critical for preserving these records. This study examines nitrate isotopes in a southeastern Greenland ice core, where high snow accumulation minimizes these effects, providing a reliable archive of atmospheric nitrogen cycling.
Ken Kondo and Koji Fujita
EGUsphere, https://doi.org/10.5194/egusphere-2025-1893, https://doi.org/10.5194/egusphere-2025-1893, 2025
Short summary
Short summary
Increased river runoff due to ice melt in Greenland contributes to sea-level rise and flooding in coastal settlements. We reconstructed glacier runoff in northwestern Greenland from 1950 to 2023. The long-term modelling revealed recent increase in the glacier runoff owing to circulation changes over Greenland, characterized by moisture and heat transport to the north. Our study illustrated a significant impact of atmospheric variability on Greenlandic glaciers and local communities.
Naoko Nagatsuka, Kumiko Goto-Azuma, Kana Nagashima, Koji Fujita, Yuki Komuro, Motohiro Hirabayashi, Jun Ogata, Kaori Fukuda, Yoshimi Ogawa-Tsukagawa, Kyotaro Kitamura, Ayaka Yonekura, Fumio Nakazawa, Yukihiko Onuma, Naoyuki Kurita, Sune Olander Rasmussen, Giulia Sinnl, Trevor James Popp, and Dorthe Dahl-Jensen
EGUsphere, https://doi.org/10.5194/egusphere-2025-1522, https://doi.org/10.5194/egusphere-2025-1522, 2025
Preprint archived
Short summary
Short summary
We present the first continuous records of dust size, composition, and temporal variations in potential sources from the northeastern Greenland ice core (EGRIP) over the past 100 years. Using a multi-proxy provenance approach based on individual particle analysis, we identify the primary dust sources as the Asian (Gobi) and African (Sahara) deserts. Our findings show shifts in their contributions since the 1970s–1980s, highlighting the effectiveness of this approach during low dust periods.
Kumiko Goto-Azuma, Yoshimi Ogawa-Tsukagawa, Kaori Fukuda, Koji Fujita, Motohiro Hirabayashi, Remi Dallmayr, Jun Ogata, Nobuhiro Moteki, Tatsuhiro Mori, Sho Ohata, Yutaka Kondo, Makoto Koike, Sumito Matoba, Moe Kadota, Akane Tsushima, Naoko Nagatsuka, and Teruo Aoki
Atmos. Chem. Phys., 25, 657–683, https://doi.org/10.5194/acp-25-657-2025, https://doi.org/10.5194/acp-25-657-2025, 2025
Short summary
Short summary
Monthly ice core records spanning 350 years from Greenland show trends in refractory black carbon (rBC) concentrations and sizes. rBC levels have increased since the 1870s due to the inflow of anthropogenic rBC, with larger diameters than those from biomass burning (BB) rBC. High summer BB rBC peaks may reduce the ice sheet albedo, but BB rBC showed no increase until the early 2000s. These results are vital for validating aerosol and climate models.
Marin Kneib, Amaury Dehecq, Adrien Gilbert, Auguste Basset, Evan S. Miles, Guillaume Jouvet, Bruno Jourdain, Etienne Ducasse, Luc Beraud, Antoine Rabatel, Jérémie Mouginot, Guillem Carcanade, Olivier Laarman, Fanny Brun, and Delphine Six
The Cryosphere, 18, 5965–5983, https://doi.org/10.5194/tc-18-5965-2024, https://doi.org/10.5194/tc-18-5965-2024, 2024
Short summary
Short summary
Avalanches contribute to increasing the accumulation on mountain glaciers by redistributing snow from surrounding mountains slopes. Here we quantified the contribution of avalanches to the mass balance of Argentière Glacier in the French Alps, by combining satellite and field observations to model the glacier dynamics. We show that the contribution of avalanches locally increases the accumulation by 60–70 % and that accounting for this effect results in less ice loss by the end of the century.
Kumiko Goto-Azuma, Remi Dallmayr, Yoshimi Ogawa-Tsukagawa, Nobuhiro Moteki, Tatsuhiro Mori, Sho Ohata, Yutaka Kondo, Makoto Koike, Motohiro Hirabayashi, Jun Ogata, Kyotaro Kitamura, Kenji Kawamura, Koji Fujita, Sumito Matoba, Naoko Nagatsuka, Akane Tsushima, Kaori Fukuda, and Teruo Aoki
Atmos. Chem. Phys., 24, 12985–13000, https://doi.org/10.5194/acp-24-12985-2024, https://doi.org/10.5194/acp-24-12985-2024, 2024
Short summary
Short summary
We developed a continuous flow analysis system to analyze an ice core from northwestern Greenland and coupled it with an improved refractory black carbon (rBC) measurement technique. This allowed accurate high-resolution analyses of size distributions and concentrations of rBC particles with diameters of 70 nm–4 μm for the past 350 years. Our results provide crucial insights into rBC's climatic effects. We also found previous ice core studies substantially underestimated rBC mass concentrations.
Vigan Mensah, Koji Fujita, Stephen Howell, Miho Ikeda, Mizuki Komatsu, and Kay I. Ohshima
EGUsphere, https://doi.org/10.5194/egusphere-2023-2492, https://doi.org/10.5194/egusphere-2023-2492, 2023
Preprint archived
Short summary
Short summary
We estimated the volume of freshwater released by sea ice, glaciers, rivers, and precipitation into Baffin Bay and the Labrador Sea, and their changes over the past 70 years. We found that the freshwater volume has risen in Baffin Bay due to increased glacier melting, and dropped in the Labrador Sea because of the decline in sea ice production. We also infer that freshwater from the Arctic Ocean has been exported to our study region for the past 30 years, possibly as a result of global warming.
Motoshi Nishimura, Teruo Aoki, Masashi Niwano, Sumito Matoba, Tomonori Tanikawa, Tetsuhide Yamasaki, Satoru Yamaguchi, and Koji Fujita
Earth Syst. Sci. Data, 15, 5207–5226, https://doi.org/10.5194/essd-15-5207-2023, https://doi.org/10.5194/essd-15-5207-2023, 2023
Short summary
Short summary
We presented the method of data quality checks and the dataset for two ground weather observations in northwest Greenland. We found that the warm and clear weather conditions in the 2015, 2019, and 2020 summers caused the snowmelt and the decline in surface reflectance of solar radiation at a low-elevated site (SIGMA-B; 944 m), but those were not seen at the high-elevated site (SIGMA-A; 1490 m). We hope that our data management method and findings will help climate scientists.
Chuanxi Zhao, Wei Yang, Evan Miles, Matthew Westoby, Marin Kneib, Yongjie Wang, Zhen He, and Francesca Pellicciotti
The Cryosphere, 17, 3895–3913, https://doi.org/10.5194/tc-17-3895-2023, https://doi.org/10.5194/tc-17-3895-2023, 2023
Short summary
Short summary
This paper quantifies the thinning and surface mass balance of two neighbouring debris-covered glaciers in the southeastern Tibetan Plateau during different seasons, based on high spatio-temporal resolution UAV-derived (unpiloted aerial
vehicle) data and in situ observations. Through a comparison approach and high-precision results, we identify that the glacier dynamic and debris thickness are strongly related to the future fate of the debris-covered glaciers in this region.
Yukihiko Onuma, Koji Fujita, Nozomu Takeuchi, Masashi Niwano, and Teruo Aoki
The Cryosphere, 17, 3309–3328, https://doi.org/10.5194/tc-17-3309-2023, https://doi.org/10.5194/tc-17-3309-2023, 2023
Short summary
Short summary
We established a novel model that simulates the temporal changes in cryoconite hole (CH) depth using heat budgets calculated independently at the ice surface and CH bottom based on hole shape geometry. The simulations suggest that CH depth is governed by the balance between the intensity of the diffuse component of downward shortwave radiation and the wind speed. The meteorological conditions may be important factors contributing to the recent ice surface darkening via the redistribution of CHs.
Naoko Nagatsuka, Kumiko Goto-Azuma, Koji Fujita, Yuki Komuro, Motohiro Hirabayashi, Jun Ogata, Kaori Fukuda, Yoshimi Ogawa-Tsukagawa, Kyotaro Kitamura, Ayaka Yonekura, Fumio Nakazawa, Yukihiko Onuma, Naoyuki Kurita, Sune Olander Rasmussen, Giulia Sinnl, Trevor James Popp, and Dorthe Dahl-Jensen
EGUsphere, https://doi.org/10.5194/egusphere-2023-1666, https://doi.org/10.5194/egusphere-2023-1666, 2023
Preprint archived
Short summary
Short summary
We present a new high-temporal-resolution record of mineral composition in a northeastern Greenland ice-core (EGRIP) over the past 100 years. The ice core dust composition and its variation differed significantly from a northwestern Greenland ice core, which is likely due to differences in the geological sources of the dust. Our results suggest that the EGRIP ice core dust was constantly supplied from Northern Eurasia, North America, and Asia with minor contribution from Greenland coast.
Marin Kneib, Evan S. Miles, Pascal Buri, Stefan Fugger, Michael McCarthy, Thomas E. Shaw, Zhao Chuanxi, Martin Truffer, Matthew J. Westoby, Wei Yang, and Francesca Pellicciotti
The Cryosphere, 16, 4701–4725, https://doi.org/10.5194/tc-16-4701-2022, https://doi.org/10.5194/tc-16-4701-2022, 2022
Short summary
Short summary
Ice cliffs are believed to be important contributors to the melt of debris-covered glaciers, but this has rarely been quantified as the cliffs can disappear or rapidly expand within a few weeks. We used photogrammetry techniques to quantify the weekly evolution and melt of four cliffs. We found that their behaviour and melt during the monsoon is strongly controlled by supraglacial debris, streams and ponds, thus providing valuable insights on the melt and evolution of debris-covered glaciers.
Yota Sato, Koji Fujita, Hiroshi Inoue, Akiko Sakai, and Karma
The Cryosphere, 16, 2643–2654, https://doi.org/10.5194/tc-16-2643-2022, https://doi.org/10.5194/tc-16-2643-2022, 2022
Short summary
Short summary
We investigate fluctuations in Bhutanese lake-terminating glaciers focusing on the dynamics change before and after proglacial lake formation at Thorthormi Glacier (TG) based on photogrammetry, satellite, and GPS surveys. The thinning rate of TG became double compared to before proglacial lake formation, and the flow velocity has also sped up considerably. Those changes would be due to the reduction in longitudinal ice compression by the detachment of the glacier terminus from the end moraine.
Loris Compagno, Matthias Huss, Evan Stewart Miles, Michael James McCarthy, Harry Zekollari, Amaury Dehecq, Francesca Pellicciotti, and Daniel Farinotti
The Cryosphere, 16, 1697–1718, https://doi.org/10.5194/tc-16-1697-2022, https://doi.org/10.5194/tc-16-1697-2022, 2022
Short summary
Short summary
We present a new approach for modelling debris area and thickness evolution. We implement the module into a combined mass-balance ice-flow model, and we apply it using different climate scenarios to project the future evolution of all glaciers in High Mountain Asia. We show that glacier geometry, volume, and flow velocity evolve differently when modelling explicitly debris cover compared to glacier evolution without the debris-cover module, demonstrating the importance of accounting for debris.
Stefan Fugger, Catriona L. Fyffe, Simone Fatichi, Evan Miles, Michael McCarthy, Thomas E. Shaw, Baohong Ding, Wei Yang, Patrick Wagnon, Walter Immerzeel, Qiao Liu, and Francesca Pellicciotti
The Cryosphere, 16, 1631–1652, https://doi.org/10.5194/tc-16-1631-2022, https://doi.org/10.5194/tc-16-1631-2022, 2022
Short summary
Short summary
The monsoon is important for the shrinking and growing of glaciers in the Himalaya during summer. We calculate the melt of seven glaciers in the region using a complex glacier melt model and weather data. We find that monsoonal weather affects glaciers that are covered with a layer of rocky debris and glaciers without such a layer in different ways. It is important to take so-called turbulent fluxes into account. This knowledge is vital for predicting the future of the Himalayan glaciers.
Naoko Nagatsuka, Kumiko Goto-Azuma, Akane Tsushima, Koji Fujita, Sumito Matoba, Yukihiko Onuma, Remi Dallmayr, Moe Kadota, Motohiro Hirabayashi, Jun Ogata, Yoshimi Ogawa-Tsukagawa, Kyotaro Kitamura, Masahiro Minowa, Yuki Komuro, Hideaki Motoyama, and Teruo Aoki
Clim. Past, 17, 1341–1362, https://doi.org/10.5194/cp-17-1341-2021, https://doi.org/10.5194/cp-17-1341-2021, 2021
Short summary
Short summary
Here we present a first high-temporal-resolution record of mineral composition in a Greenland ice core (SIGMA-D) over the past 100 years using SEM–EDS analysis. Our results show that the ice core dust composition varied on multi-decadal scales, which was likely affected by local temperature changes. We suggest that the ice core dust was constantly supplied from distant sources (mainly northern Canada) as well as local ice-free areas in warm periods (1915 to 1949 and 2005 to 2013).
Xavier Fettweis, Stefan Hofer, Uta Krebs-Kanzow, Charles Amory, Teruo Aoki, Constantijn J. Berends, Andreas Born, Jason E. Box, Alison Delhasse, Koji Fujita, Paul Gierz, Heiko Goelzer, Edward Hanna, Akihiro Hashimoto, Philippe Huybrechts, Marie-Luise Kapsch, Michalea D. King, Christoph Kittel, Charlotte Lang, Peter L. Langen, Jan T. M. Lenaerts, Glen E. Liston, Gerrit Lohmann, Sebastian H. Mernild, Uwe Mikolajewicz, Kameswarrao Modali, Ruth H. Mottram, Masashi Niwano, Brice Noël, Jonathan C. Ryan, Amy Smith, Jan Streffing, Marco Tedesco, Willem Jan van de Berg, Michiel van den Broeke, Roderik S. W. van de Wal, Leo van Kampenhout, David Wilton, Bert Wouters, Florian Ziemen, and Tobias Zolles
The Cryosphere, 14, 3935–3958, https://doi.org/10.5194/tc-14-3935-2020, https://doi.org/10.5194/tc-14-3935-2020, 2020
Short summary
Short summary
We evaluated simulated Greenland Ice Sheet surface mass balance from 5 kinds of models. While the most complex (but expensive to compute) models remain the best, the faster/simpler models also compare reliably with observations and have biases of the same order as the regional models. Discrepancies in the trend over 2000–2012, however, suggest that large uncertainties remain in the modelled future SMB changes as they are highly impacted by the meltwater runoff biases over the current climate.
Cited articles
Bao, Y. and You, Q.: How do westerly jet streams regulate the winter snow depth over the Tibetan Plateau?, Clim. Dynam., 53, 353–370, https://doi.org/10.1007/s00382-018-4589-1, 2019.
Barandun, M., Huss, M., Usubaliev, R., Azisov, E., Berthier, E., Kääb, A., Bolch, T., and Hoelzle, M.: Multi-decadal mass balance series of three Kyrgyz glaciers inferred from modelling constrained with repeated snow line observations, The Cryosphere, 12, 1899–1919, https://doi.org/10.5194/tc-12-1899-2018, 2018.
Buri, P., Fatichi, S., Shaw, T. E., Miles, E. S., McCarthy, M. J., Fyffe, C. L., Fugger, S., Ren, S., Kneib, M., Jouberton, A., Steiner, J., Fujita, K., and Pellicciotti, F. Land Surface Modeling in the Himalayas: On the Importance of Evaporative Fluxes for the Water Balance of a High-Elevation Catchment, Water Resour. Res., 59, e2022WR033841, https://doi.org/10.1029/2022WR033841, 2023.
Buri, P., Fatichi, S., Shaw, T. E., Fyffe, C. L., Miles, E. S., McCarthy, M. J., Kneib, M., Ren, S., Jouberton, A., Fugger, S., Jia, L., Zhang, J., Shen, C., Zheng, C., Menenti, M., and Pellicciotti, F. Land surface modeling informed by earth observation data: Toward understanding blue–green–white water fluxes in High Mountain Asia, Geo-Spatial Information Science, 27, 703–727, https://doi.org/10.1080/10095020.2024.2330546, 2024.
Burns, P. and Nolin, A.: Using atmospherically-corrected Landsat imagery to measure glacier area change in the Cordillera Blanca, Peru from 1987 to 2010, Remote Sens. Environ., 140, 165–178, https://doi.org/10.1016/j.rse.2013.08.026, 2014.
Cannon, F., Carvalho, L. M. V., Jones, C., and Bookhagen, B.: Multi-annual variations in winter westerly disturbance activity affecting the Himalaya, Clim. Dynam., 44, 441–455, https://doi.org/10.1007/s00382-014-2248-8, 2015.
Canny, J.: A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Image Processing, 8, 679–698, 1986.
Cleveland, R. B., Cleveland, W. S., McRae, J. E., and Terpenning, I. STL: A Seasonal-Trend Decomposition Procedure Based on Loess, Journal of Official Statistics, 6, 3–33, 1990.
Copernicus Sentinel-2 (processed by ESA): MSI Level-1C TOA Reflectance Product. Collection 1, European Space Agency [data set], https://doi.org/10.5270/S2_-742ikth, 2021.
Deng, G., Tang, Z., Hu, G., Wang, J., Sang, G., and Li, J.: Spatiotemporal Dynamics of Snowline Altitude and Their Responses to Climate Change in the Tienshan Mountains, Central Asia, during 2001–2019, Sustainability, 13, 3992, https://doi.org/10.3390/su13073992, 2021.
Dozier, J.: Spectral signature of alpine snow cover from the landsat thematic mapper, Remote Sens. Environ., 28, 9–22, https://doi.org/10.1016/0034-4257(89)90101-6, 1989.
Earth Resources Observation and Science (EROS) Center: Landsat 5 Thematic Mapper Level-1, Collection 2, U.S. Geological Survey [data set], https://doi.org/10.5066/P918ROHC, 2020a.
Earth Resources Observation and Science (EROS) Center: Landsat 7 Enhanced Thematic Mapper Plus Level-1, Collection 2, U.S. Geological Survey [data set], https://doi.org/10.5066/P9TU80IG, 2020b.
Earth Resources Observation and Science (EROS) Center: Landsat 8–9 Operational Land Imager / Thermal Infrared Sensor Level-1, Collection 2, U.S. Geological Survey [data set], https://doi.org/10.5066/P975CC9B, 2020c.
Eastman, R. J., Sangermano, F., Ghimire, B., Zhu, H., Chen, H., Neeti, N., Cau Tm Nacgadi, E. A., and Crema, S. C.: Seasonal trend analysis of image time series. International Journal of Remote Sensing, 30, 2721–2726, https://doi.org/10.1080/01431160902755338, 2009.
European Space Agency: RapidEye Mission, European Space Agency [data set], https://earth.esa.int/eogateway/missions/rapideye, last access: 1 April 2022a.
European Space Agency: PlanetScope Mission, European Space Agency [data set], https://earth.esa.int/eogateway/missions/planetscope, last access: 1 April 2022b.
Feng, S., Cook, J. M., Onuma, Y., Naegeli, K., Tan, W., Anesio, A. M., Benning, L. G., and Tranter, M.: Remote sensing of ice albedo using harmonized Landsat and Sentinel 2 datasets: Validation, Int. J. Remote Sens., 45, 7724–7752, https://doi.org/10.1080/01431161.2023.2291000, 2024.
Gascoin, S., Grizonnet, M., Bouchet, M., Salgues, G., and Hagolle, O.: Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data, Earth Syst. Sci. Data, 11, 493–514, https://doi.org/10.5194/essd-11-493-2019, 2019.
Girona-Mata, M., Miles, E. S., Ragettli, S., and Pellicciotti, F.: High-resolution snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan catchment, Water Resour. Res., 55, 6754–6772, https://doi.org/10.1029/2019WR024935, 2019.
Härer, S., Bernhardt, M., Siebers, M., and Schulz, K.: On the need for a time- and location-dependent estimation of the NDSI threshold value for reducing existing uncertainties in snow cover maps at different scales, The Cryosphere, 12, 1629–1642, https://doi.org/10.5194/tc-12-1629-2018, 2018.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2023.
Immerzeel, W. W., Lutz, A. F., Andrade, M., Bahl, A., Biemans, H., Bolch, T., Hyde, S., Brumby, S., Davies, B. J., Elmore, A. C., Emmer, A., Feng, M., Fernández, A., Haritashya, U., Kargel, J. S., Koppes, M., Kraaijenbrink, P. D. A., Kulkarni, A. V., and Maye, J. E. M.: Importance and vulnerability of the world's water towers, Nature, 577, 364–369, https://doi.org/10.1038/s41586-019-1822-y, 2020.
Johnston, J., Jacobs, J. M., and Cho, E.: Global Snow Seasonality Regimes from Satellite Records of Snow Cover, J. Hydrometeorol., 25, 65–88, https://doi.org/10.1175/JHM-D-23-0047.1, 2023.
Kraaijenbrink, P. D. A., Stigter, E. E., Yao, T., and Immerzeel, W. W.: Climate change decisive for Asia's snow meltwater supply, Nat. Clim. Chang, 11, 591–597, https://doi.org/10.1038/s41558-021-01074-x, 2021.
Krajčí, P., Holko, L., Perdigao, R. A. P., and Parajka, J.: Estimation of regional snowline elevation (RSLE) from MODIS images for seasonally snow covered mountain basins, J. Hydrol., 519, 1769–1778, https://doi.org/10.1016/j.jhydrol.2014.08.064, 2014.
Krishnan, R., Sabin, T. P., Madhura, R. K., Vellore, R. K., Mujumdar, M., Sanjay, J., Nayak, S., and Rajeevan, M.: Non-monsoonal precipitation response over the Western Himalayas to climate change, Clim. Dynam., 52, 4091–4109, https://doi.org/10.1007/s00382-018-4357-2, 2019.
Lehner, B. and Grill, G.: Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems, Hydrol. Process., 27, 2171–2186, https://doi.org/10.1002/hyp.9740, 2013.
Liu, Y., Fang, Y., and Margulis, S. A.: Spatiotemporal distribution of seasonal snow water equivalent in High Mountain Asia from an 18-year Landsat–MODIS era snow reanalysis dataset, The Cryosphere, 15, 5261–5280, https://doi.org/10.5194/tc-15-5261-2021, 2021.
Maussion, F., Scherer, D., Mölg, T., Collier, E., Curio, J., and Finkelnburg, R.: Precipitation Seasonality and Variability over the Tibetan Plateau as Resolved by the High Asia Reanalysis, J. Climate, 27, 1910–1927, https://doi.org/10.1175/JCLI-D-13-00282.1, 2014.
McFadden, E. M., Ramage, J., and Rodbell, D. T.: Landsat TM and ETM+ derived snowline altitudes in the Cordillera Huayhuash and Cordillera Raura, Peru, 1986–2005, The Cryosphere, 5, 419–430, https://doi.org/10.5194/tc-5-419-2011, 2011.
Morinaga, Y.: Seasonal variation of snowline in Langtang Valley, Nepal Himalayas, 1985–1986, B. Glacier Res., 5, 49, 1987.
Morinaga, Y., Seko, K., and Takahashi, S.: Seasonal variation of snowline in Langtan Valley, Nepal Himalayas, 1985–1986, Bulletin of Glacier Resarch, 5, 49–53, 1987.
Mortimer, C. A. and Sharp, M.: Spatiotemporal variability of Canadian High Arctic glacier surface albedo from MODIS data, 2001–2016, The Cryosphere, 12, 701–720, https://doi.org/10.5194/tc-12-701-2018, 2018.
Muhammad, S. and Thapa, A.: An improved Terra–Aqua MODIS snow cover and Randolph Glacier Inventory 6.0 combined product (MOYDGL06*) for high-mountain Asia between 2002 and 2018, Earth Syst. Sci. Data, 12, 345–356, https://doi.org/10.5194/essd-12-345-2020, 2020.
Notarnicola, C.: Overall negative trends for snow cover extent and duration in global mountain regions over 1982–2020, Sci. Rep., 12, 13731, https://doi.org/10.1038/s41598-022-16743-w, 2022.
Nuimura, T., Sakai, A., Taniguchi, K., Nagai, H., Lamsal, D., Tsutaki, S., Kozawa, A., Hoshina, Y., Takenaka, S., Omiya, S., Tsunematsu, K., Tshering, P., and Fujita, K.: The GAMDAM glacier inventory: a quality-controlled inventory of Asian glaciers, The Cryosphere, 9, 849–864, https://doi.org/10.5194/tc-9-849-2015, 2015.
Painter, T. H., Rittger, K., McKenzie, C., Slaughter, P., Davis, R. E., and Dozier, J.: Retrieval of subpixel snow covered area, grain size, and albedo from MODIS, Remote Sensing of Environment, 113, 868–879, https://doi.org/10.1016/j.rse.2009.01.001, 2009.
Palazzi, E., Mortarini, L., Terzago, S., and Hardenberg, J.: Elevation-dependent warming in global climate model simulations at high spatial resolution, Clim. Dynam., 52, 2685–2702, https://doi.org/10.1007/s00382-018-4287-z, 2019.
Paul, F., Winsvold, S. H., Kääb, A., Nagler, T., and Schwaizer, G. Glacier Remote Sensing Using Sentinel-2. Part II: Mapping Glacier Extents and Surface Facies, and Comparison to Landsat 8, Remote Sens., 8, 7, https://doi.org/10.3390/rs8070575, 2016.
Pekel, J. F., Cottam, A., Gorelick, N., and Belward, A. S.: High-resolution mapping of global surface water and its long-term changes, Nature, 540, 418–422, https://doi.org/10.1038/nature20584 (data available at: https://global-surface-water.appspot.com/, last access: 15 January 2024), 2016.
Pellicciotti, F., Raschle, T., Huerlimann, T., Carenzo, M., and Burlando, P.: Transmission of solar radiation through clouds on melting glaciers: a comparison of parameterizations and their impact on melt modelling, J. Glaciol., 57, 367–381, https://doi.org/10.3189/002214311796406013, 2011.
Pritchard, H. D.: Asia's shrinking glaciers protect large populations from drought stress, Nature, 569, 649–654, https://doi.org/10.1038/s41586-019-1240-1, 2019.
Racoviteanu, A. E., Rittger, K., and Armstrong, R.: An Automated Approach for Estimating Snowline Altitudes in the Karakoram and Eastern Himalaya From Remote Sensing, Front. Earth Sci., 7, 220, https://doi.org/10.3389/feart.2019.00220, 2019.
Roessler, S. and Dietz, A. J.: Development of Global Snow Cover – Trends from 23 Years of Global SnowPack, Earth, 4, 1, https://doi.org/10.3390/earth4010001, 2023.
Rittger, K., Bormann, K. J., Bair, E. H., Dozier, J., and Painter, T. H.: Evaluation of VIIRS and MODIS Snow Cover Fraction in High-Mountain Asia Using Landsat 8 OLI, Front. Remote Sens., 2, 647154, https://doi.org/10.3389/frsen.2021.647154, 2021.
Robinson, K. M., Flowers, G. E., Baraër, M., and Rounce, D. R.: Modelling glacier mass balance and runoff in the Kaskawulsh River Headwaters of southwest Yukon, Canada, 1980–2022, Hydrological Processes, 39, e70150, https://doi.org/10.1002/hyp.70150, 2025.
Sakai, A.: GAMDAM glacier inventory for High Mountain Asia, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.891423, 2018.
Sakai, A.: Brief communication: Updated GAMDAM glacier inventory over high-mountain Asia, The Cryosphere, 13, 2043–2049, https://doi.org/10.5194/tc-13-2043-2019, 2019.
Sasaki, O.: Scripts and data for Contrasting patterns of change in snowline altitude across five Himalayan catchments, Zenodo [code], https://doi.org/10.5281/zenodo.15718051, 2025.
Scherler, D., Wulf, H., and Gorelick, N.: Global assessment of supraglacial debris-cover extents, Geophys. Res. Lett., 45, 11798–11805, https://doi.org/10.1029/2018GL080158, 2018.
Smith, T. and Bookhagen, B.: Changes in seasonal snow water equivalent distribution in High Mountain Asia (1987 to 2009), Sci. Adv., 4, e1701550, https://doi.org/10.1126/sciadv.1701550, 2018.
Spiess, M., Huintjes, E., and Schneider, C.: Comparison of modelled- and remote sensing- derived daily snow line altitudes at Ulugh Muztagh, northern Tibetan Plateau, J. Mt. Sci., 13, 593–613, https://doi.org/10.1007/s11629-015-3818-x, 2016.
Stigter, E. E., Wanders, N., Saloranta, T. M., Shea, J. M., Bierkens, M. F. P., and Immerzeel, W. W.: Assimilation of snow cover and snow depth into a snow model to estimate snow water equivalent and snowmelt runoff in a Himalayan catchment, The Cryosphere, 11, 1647–1664, https://doi.org/10.5194/tc-11-1647-2017, 2017.
Stillinger, T., Roberts, D. A., Collar, N. M., and Dozier, J.: Cloud masking for Landsat 8 and MODIS Terra over snow-covered terrain: Error analysis and spectral similarity between snow and cloud, Water Resour. Res., 55, 6169–6184, https://doi.org/10.1029/2019WR024932, 2019.
Takaku, J., Tadono, T., Tsutsui, K., and Ichikawa, M.: Quality Improvements of `AW3D' Global Dsm Derived from Alos Prism, IGARSS 2018 – 2018 IEEE International Geoscience and Remote Sensing Symposium, Spain, 1612–1615, https://doi.org/10.1109/IGARSS.2017.8128293, 2018.
Tang, Z., Wang, X., Deng, G., Wang, X., Jiang, Z., and Sang, G.: Spatiotemporal variation of snowline altitude at the end of melting season across High Mountain Asia, using MODIS snow cover product, Adv. Space Res., 66, 2629–2645, https://doi.org/10.1016/j.jhydrol.2022.128438, 2020.
Tang, Z., Deng, G., Hu, G., Zhang, H., Pan, H., and Sang, G.: Satellite observed spatiotemporal variability of snow cover and snow phenology over high mountain Asia from 2002 to 2021, J. Hydrol., 613, 128438, https://doi.org/10.1016/j.jhydrol.2022.128438, 2022.
Tsai, Y.-L. S., Dietz, A., Oppelt, N., and Kuenzer, C.: Wet and Dry Snow Detection Using Sentinel-1 SAR Data for Mountainous Areas with a Machine Learning Technique, Remote Sens., 11, 895, https://doi.org/10.3390/rs11080895, 2019.
Viviroli, D., Kummu, M., Meybeck, M., Kallio, M., and Wada, Y.: Increasing dependence of lowland populations on mountain water resources, Nat. Sustain., 3, 917–928, https://doi.org/10.1038/s41893-020-0559-9, 2020.
Yang, W., Yao, T. D., Guo, X. F., Zhu, M. L., Li, S. H., and Kattel, D. B.: Mass balance of a maritime glacier on the southeast Tibetan Plateau and its climatic sensitivity, J. Geophys. Res.-Atmos., 118, 9579–9594, https://doi.org/10.1002/jgrd.50760, 2013.
Short summary
This study adapts a method to detect snowline altitude (SLA) using Google Earth Engine with high-resolution satellite imagery. Applying this method to five glaciated watersheds in the Himalayas reveals regional consistencies and differences in snow dynamics, as well as 20-year trends of snowline increases (3 catchments) and decreases (1) and no trend (1). We investigate the controls of these dynamics by analyzing climatic factors and topographic characteristics.
This study adapts a method to detect snowline altitude (SLA) using Google Earth Engine with...