[{"article_type":"original","citation":{"chicago":"Fujinami, Hatsuki, Nobuhiro Takahashi, Hironari Kanamori, Yota Sato, Sojiro Sunako, Masaya Kato, Atsushi Higuchi, et al. “Multiscale Aspects of an Extreme Precipitation Event over Nepal in September 2024.” <i>Scientific Online Letters on the Atmosphere</i>. Springer Nature, 2026. <a href=\"https://doi.org/10.1007/s44393-026-00024-0\">https://doi.org/10.1007/s44393-026-00024-0</a>.","apa":"Fujinami, H., Takahashi, N., Kanamori, H., Sato, Y., Sunako, S., Kato, M., … Fujita, K. (2026). Multiscale aspects of an extreme precipitation event over Nepal in September 2024. <i>Scientific Online Letters on the Atmosphere</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s44393-026-00024-0\">https://doi.org/10.1007/s44393-026-00024-0</a>","short":"H. Fujinami, N. Takahashi, H. Kanamori, Y. Sato, S. Sunako, M. Kato, A. Higuchi, I. Kadel, D. Shrestha, R.B. Kayastha, K. Fujita, Scientific Online Letters on the Atmosphere 22 (2026).","ista":"Fujinami H, Takahashi N, Kanamori H, Sato Y, Sunako S, Kato M, Higuchi A, Kadel I, Shrestha D, Kayastha RB, Fujita K. 2026. Multiscale aspects of an extreme precipitation event over Nepal in September 2024. Scientific Online Letters on the Atmosphere. 22, 27.","ama":"Fujinami H, Takahashi N, Kanamori H, et al. Multiscale aspects of an extreme precipitation event over Nepal in September 2024. <i>Scientific Online Letters on the Atmosphere</i>. 2026;22. doi:<a href=\"https://doi.org/10.1007/s44393-026-00024-0\">10.1007/s44393-026-00024-0</a>","mla":"Fujinami, Hatsuki, et al. “Multiscale Aspects of an Extreme Precipitation Event over Nepal in September 2024.” <i>Scientific Online Letters on the Atmosphere</i>, vol. 22, 27, Springer Nature, 2026, doi:<a href=\"https://doi.org/10.1007/s44393-026-00024-0\">10.1007/s44393-026-00024-0</a>.","ieee":"H. Fujinami <i>et al.</i>, “Multiscale aspects of an extreme precipitation event over Nepal in September 2024,” <i>Scientific Online Letters on the Atmosphere</i>, vol. 22. Springer Nature, 2026."},"date_published":"2026-06-04T00:00:00Z","article_processing_charge":"Yes","_id":"21995","abstract":[{"lang":"eng","text":"On 26–28 September 2024, torrential rainfall struck Nepal during the late monsoon season, causing flooding, landslides and extensive damage. This study examined the multiscale processes contributing to this extreme precipitation event, focusing on intraseasonal oscillations, synoptic-scale circulations, and mesoscale cloud/precipitation systems. A quasi-biweekly intraseasonal oscillation dominated over South Asia during the event, featuring a monsoon low-pressure system over the Indian Peninsula and an anticyclone to its east, both propagating westward. The pressure gradient between them sustained strong southerly moisture transport toward the Himalayas, establishing a persistently humid environment and orographic lift along the southern slopes. In contrast to reports of previous extreme precipitation events in Nepal, the atmospheric circulation responsible for the 2024 event was primarily of tropical origin, with minimal influence from the midlatitudes. Characteristic mesoscale cloud/precipitation systems also developed around the Himalayas. The highest daily precipitation during the event was recorded on 27 September; stratiform systems with relatively modest storm top heights developed over the southern slopes, generating surface precipitation rates of > 100 mm h− 1 through warm-rain processes. Rain gauges across the glacierized basin (3500–5000 m asl) recorded exceptionally high daily and hourly precipitation rates, highlighting the extension of intense rainfall to unusually high elevations."}],"file_date_updated":"2026-06-22T07:21:04Z","type":"journal_article","publication_status":"published","oa":1,"doi":"10.1007/s44393-026-00024-0","publisher":"Springer Nature","quality_controlled":"1","intvolume":"        22","article_number":"27","ddc":["550"],"has_accepted_license":"1","department":[{"_id":"FrPe"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2026-06-14T22:01:42Z","author":[{"first_name":"Hatsuki","last_name":"Fujinami","full_name":"Fujinami, Hatsuki"},{"full_name":"Takahashi, Nobuhiro","first_name":"Nobuhiro","last_name":"Takahashi"},{"full_name":"Kanamori, Hironari","first_name":"Hironari","last_name":"Kanamori"},{"first_name":"Yota","last_name":"Sato","id":"daa9e17a-f2c2-11ef-b968-915e836dea45","full_name":"Sato, Yota"},{"first_name":"Sojiro","last_name":"Sunako","full_name":"Sunako, Sojiro"},{"full_name":"Kato, Masaya","last_name":"Kato","first_name":"Masaya"},{"last_name":"Higuchi","first_name":"Atsushi","full_name":"Higuchi, Atsushi"},{"last_name":"Kadel","first_name":"Indira","full_name":"Kadel, Indira"},{"first_name":"Dibas","last_name":"Shrestha","full_name":"Shrestha, Dibas"},{"full_name":"Kayastha, Rijan B.","first_name":"Rijan B.","last_name":"Kayastha"},{"full_name":"Fujita, Koji","last_name":"Fujita","first_name":"Koji"}],"title":"Multiscale aspects of an extreme precipitation event over Nepal in September 2024","OA_place":"publisher","OA_type":"gold","file":[{"access_level":"open_access","date_updated":"2026-06-22T07:21:04Z","file_id":"22109","date_created":"2026-06-22T07:21:04Z","relation":"main_file","checksum":"19a217b038756abf44bc49939a01e33c","success":1,"file_size":13308662,"content_type":"application/pdf","creator":"dernst","file_name":"2026_SOLA_Fujinami.pdf"}],"day":"04","DOAJ_listed":"1","publication_identifier":{"eissn":["1349-6476"]},"year":"2026","researchdata_availability":"no","license":"https://creativecommons.org/licenses/by/4.0/","scopus_import":"1","oa_version":"None","publication":"Scientific Online Letters on the Atmosphere","language":[{"iso":"eng"}],"month":"06","PlanS_conform":"1","status":"public","acknowledgement":"This work was supported by the Japan Society for the Promotion of Science (JSPS) (KAKENHI Grants: 22H00176, 22H00033, 22H00037, and 23KK0064). It was partly supported by the 4th Research Announcement on the Earth Observations of the Japan Aerospace Exploration Agency (JAXA). It was partly carried out under the joint research program of Institute for Space–Earth Environmental Research, Nagoya University and as a joint research program with the Center for Environmental Remote Sensing (CEReS), Chiba University (CJ25-43, 2025). We thank James Buxton MSc and Tina Tin PhD from Edanz (https://jp.edanz.com/ac), for editing a draft of this manuscript. The Japan Society for the Promotion of Science (JSPS) supports this work (KAKENHI Grants: 22H00176, 22H00033, 22H00037, and 23KK0064).","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"supplementarymaterial":"yes","dataavailabilitystatement":"Daily rainfall data across Nepal were obtained from the Department of Hydrology and Meteorology, Kathmandu, Nepal (https://dhm.gov.np/). Precipitation data from Pyramid observatory are available from [https://glacioclim.osug.fr/Donnees-du-Nepal-region-du-Khumbu](https:/glacioclim.osug.fr/Donnees-du-Nepal-region-du-Khumbu) . Precipitation data from rain gauges in Rolwaling valley are available from https://doi.org/10.5281/zenodo.18081206. NOAA’s Climate Prediction Center provided daily OLR data ( [https://psl.noaa.gov/data/gridded/data.cpc\\_blended\\_olr-2.5 deg.html](https:/psl.noaa.gov/data/gridded/data.cpc_blended_olr-2.5 deg.html) ). We used infrared brightness temperature data from MSG2 (Meteosat 9)-IODC. The Center for Environmental Remote Sensing (CEReS), Chiba University, archived and provided the data (https://ceres.chiba-u.jp/en/ top-eng/). The GPM DPR products are available from the Japan Aerospace Exploration Agency (JAXA) G-Portal website ( [https://gportal.jaxa.jp/gpr/](https:/gportal.jaxa.jp/gpr) ). The ERA5 data are available from the Copernicus climate-change service (C3S) climate data store (https://doi.org/10.24381/cds.bd0915c6). GMTED2010 data are available from the US Geological Survey (https://topotools.cr.usgs.gov/gmted\\_viewer/viewer.htm).","date_updated":"2026-06-22T11:26:52Z","volume":22},{"abstract":[{"text":"This preliminary study investigates the trace-element composition of ostracod shells (Ostracoda: Crustacea) as biogenic calcium carbonates in their role as environmental sentinels of pollution. Using high-resolution in-situ analysis, we compared two contrasting coastal systems: the highly urbanized seascape of metropolitan megacity Hong Kong (HKSAR) and the agriculturally dominated waters of rural retreat Jeju Island, Republic of Korea (ROK). The goal was to assess whether anthropogenic stress gradients affect trace element-to‑calcium ratios (E/Ca) in the carapaces of shallow-marine Neonesidea Maddocks, 1969 species. Hereby, the focus is laid on potential differences in the effects of extreme urbanization and extreme agriculturalization. We analyzed 12 trace elements commonly incorporated into ostracod shells using Inductively Coupled Plasma–Mass Spectrometry (ICP-MS). Only Mn/Ca, Mg/Ca, and Ni/Ca ratios showed strong correlations with specific seawater physicochemical parameters. Notably, Mn/Ca differed significantly between the two sites, seemingly driven mainly by variations in nitrite nitrogen levels. This suggests that Mn incorporation is sensitive to pollution source, urban versus agricultural, though species-specific uptake effects cannot be excluded. No significant differences in elemental uptake were found between adult and A-1 juvenile stages of Neonesidea mutsuensis Ishizaki, 1961 or Neonesidea elegans (Brady, 1969), supporting the use of both age groups in environmental reconstructions and increasing potential sample yields. While remaining empirical and exploratory, our tentative findings suggest that ostracod geochemistry holds promise for marine pollution monitoring and cautiously supports the application of ostracod Mn/Ca ratios to reconstruct anthropogenic, particularly nitrogen-related, impacts in nearshore environments using sediment core records.","lang":"eng"}],"_id":"21406","pmid":1,"date_published":"2026-03-02T00:00:00Z","article_processing_charge":"No","citation":{"ieee":"A. B. Jöst <i>et al.</i>, “Ostracod shell chemistry as proxy for coastal marine conditions of a highly urbanized megacity (Hong Kong SAR) and an agro-centric oceanic province (Jeju Island, Republic of Korea) – a preliminary comparative analysis,” <i>Marine Pollution Bulletin</i>, vol. 227, no. 6. Elsevier, 2026.","mla":"Jöst, Anna B., et al. “Ostracod Shell Chemistry as Proxy for Coastal Marine Conditions of a Highly Urbanized Megacity (Hong Kong SAR) and an Agro-Centric Oceanic Province (Jeju Island, Republic of Korea) – a Preliminary Comparative Analysis.” <i>Marine Pollution Bulletin</i>, vol. 227, no. 6, 119493, Elsevier, 2026, doi:<a href=\"https://doi.org/10.1016/j.marpolbul.2026.119493\">10.1016/j.marpolbul.2026.119493</a>.","ama":"Jöst AB, Rodriguez Moreno MJ, Kim T, et al. Ostracod shell chemistry as proxy for coastal marine conditions of a highly urbanized megacity (Hong Kong SAR) and an agro-centric oceanic province (Jeju Island, Republic of Korea) – a preliminary comparative analysis. <i>Marine Pollution Bulletin</i>. 2026;227(6). doi:<a href=\"https://doi.org/10.1016/j.marpolbul.2026.119493\">10.1016/j.marpolbul.2026.119493</a>","ista":"Jöst AB, Rodriguez Moreno MJ, Kim T, Baker DM, Yasuhara M, Not CA, Karanovic I. 2026. Ostracod shell chemistry as proxy for coastal marine conditions of a highly urbanized megacity (Hong Kong SAR) and an agro-centric oceanic province (Jeju Island, Republic of Korea) – a preliminary comparative analysis. Marine Pollution Bulletin. 227(6), 119493.","short":"A.B. Jöst, M.J. Rodriguez Moreno, T. Kim, D.M. Baker, M. Yasuhara, C.A. Not, I. Karanovic, Marine Pollution Bulletin 227 (2026).","apa":"Jöst, A. B., Rodriguez Moreno, M. J., Kim, T., Baker, D. M., Yasuhara, M., Not, C. A., &#38; Karanovic, I. (2026). Ostracod shell chemistry as proxy for coastal marine conditions of a highly urbanized megacity (Hong Kong SAR) and an agro-centric oceanic province (Jeju Island, Republic of Korea) – a preliminary comparative analysis. <i>Marine Pollution Bulletin</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.marpolbul.2026.119493\">https://doi.org/10.1016/j.marpolbul.2026.119493</a>","chicago":"Jöst, Anna B., Maximiliano J Rodriguez Moreno, Taihun Kim, David M. Baker, Moriaki Yasuhara, Christelle A. Not, and Ivana Karanovic. “Ostracod Shell Chemistry as Proxy for Coastal Marine Conditions of a Highly Urbanized Megacity (Hong Kong SAR) and an Agro-Centric Oceanic Province (Jeju Island, Republic of Korea) – a Preliminary Comparative Analysis.” <i>Marine Pollution Bulletin</i>. Elsevier, 2026. <a href=\"https://doi.org/10.1016/j.marpolbul.2026.119493\">https://doi.org/10.1016/j.marpolbul.2026.119493</a>."},"article_type":"original","quality_controlled":"1","doi":"10.1016/j.marpolbul.2026.119493","publisher":"Elsevier","type":"journal_article","publication_status":"published","department":[{"_id":"FrPe"}],"article_number":"119493","intvolume":"       227","external_id":{"pmid":["41774948"]},"OA_type":"closed access","title":"Ostracod shell chemistry as proxy for coastal marine conditions of a highly urbanized megacity (Hong Kong SAR) and an agro-centric oceanic province (Jeju Island, Republic of Korea) – a preliminary comparative analysis","issue":"6","author":[{"full_name":"Jöst, Anna B.","first_name":"Anna B.","last_name":"Jöst"},{"first_name":"Maximiliano J","last_name":"Rodriguez Moreno","full_name":"Rodriguez Moreno, Maximiliano J","id":"59bea3b2-8c82-11ef-a41a-af7b0efd9065"},{"last_name":"Kim","first_name":"Taihun","full_name":"Kim, Taihun"},{"full_name":"Baker, David M.","last_name":"Baker","first_name":"David M."},{"full_name":"Yasuhara, Moriaki","last_name":"Yasuhara","first_name":"Moriaki"},{"last_name":"Not","first_name":"Christelle A.","full_name":"Not, Christelle A."},{"first_name":"Ivana","last_name":"Karanovic","full_name":"Karanovic, Ivana"}],"date_created":"2026-03-08T23:01:44Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2026","publication_identifier":{"issn":["002-5326X"],"eissn":["1879-3363"]},"day":"02","language":[{"iso":"eng"}],"publication":"Marine Pollution Bulletin","oa_version":"None","scopus_import":"1","acknowledgement":"We thank the KIOST staff of the Jeju Marine Research Center for assisting sample collection, the research assistants and students of the Yoon Idea Lab led by Prof. Dr. Tae-Hyun Yoon at Hanyang University for facilitating and assisting in ICP-MS test runs involved in a pilot study preceding this study, Ms. Garance Perrois and Mr. Léonard Pons for assistance with statistics-related questions, and the two anonymous reviewers for their valuable comments and suggestions. The study described in this article was partially supported by grants from the Brain Pool Program through NRF funded by the Ministry of Science and ICT (reference code: 2019H1D3A1A01070922 to ABJ), by the Ministry of Oceans and Fisheries (grant number RS-2024-00406249 to TK), by the Korea Institute of Marine Science and Technology (KIMST), funded by the Ministry of Oceans and Fisheries (grant number RS-2025-02304432 to TK), and by the Korea Institute of Ocean Science and Technology (PEA0404 to TK).","status":"public","month":"03","volume":227,"date_updated":"2026-03-09T10:19:45Z"},{"intvolume":"        17","article_number":"2639085","ddc":["550"],"has_accepted_license":"1","department":[{"_id":"FrPe"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2026-03-15T23:01:36Z","author":[{"first_name":"Litan","last_name":"Mohanty","full_name":"Mohanty, Litan"},{"first_name":"Prateek","last_name":"Gantayat","id":"02734268-3e8d-11ef-80a1-cec4a088d004","full_name":"Gantayat, Prateek"}],"issue":"1","OA_place":"publisher","OA_type":"gold","title":"Comprehensive assessment of Himalayan glacial lakes concerning their distribution, dynamics, and hazard potential","file":[{"file_name":"2026_Geomatics_Mohanty.pdf","file_size":10548823,"creator":"dernst","content_type":"application/pdf","success":1,"checksum":"78f7a3020bf5966e820340a711ea3a6b","relation":"main_file","date_created":"2026-03-16T10:18:26Z","file_id":"21458","date_updated":"2026-03-16T10:18:26Z","access_level":"open_access"}],"citation":{"apa":"Mohanty, L., &#38; GANTAYAT, P. (2026). Comprehensive assessment of Himalayan glacial lakes concerning their distribution, dynamics, and hazard potential. <i>Geomatics Natural Hazards and Risk</i>. Taylor &#38; Francis. <a href=\"https://doi.org/10.1080/19475705.2026.2639085\">https://doi.org/10.1080/19475705.2026.2639085</a>","chicago":"Mohanty, Litan, and PRATEEK GANTAYAT. “Comprehensive Assessment of Himalayan Glacial Lakes Concerning Their Distribution, Dynamics, and Hazard Potential.” <i>Geomatics Natural Hazards and Risk</i>. Taylor &#38; Francis, 2026. <a href=\"https://doi.org/10.1080/19475705.2026.2639085\">https://doi.org/10.1080/19475705.2026.2639085</a>.","ista":"Mohanty L, GANTAYAT P. 2026. Comprehensive assessment of Himalayan glacial lakes concerning their distribution, dynamics, and hazard potential. Geomatics Natural Hazards and Risk. 17(1), 2639085.","short":"L. Mohanty, P. GANTAYAT, Geomatics Natural Hazards and Risk 17 (2026).","mla":"Mohanty, Litan, and PRATEEK GANTAYAT. “Comprehensive Assessment of Himalayan Glacial Lakes Concerning Their Distribution, Dynamics, and Hazard Potential.” <i>Geomatics Natural Hazards and Risk</i>, vol. 17, no. 1, 2639085, Taylor &#38; Francis, 2026, doi:<a href=\"https://doi.org/10.1080/19475705.2026.2639085\">10.1080/19475705.2026.2639085</a>.","ama":"Mohanty L, GANTAYAT P. Comprehensive assessment of Himalayan glacial lakes concerning their distribution, dynamics, and hazard potential. <i>Geomatics Natural Hazards and Risk</i>. 2026;17(1). doi:<a href=\"https://doi.org/10.1080/19475705.2026.2639085\">10.1080/19475705.2026.2639085</a>","ieee":"L. Mohanty and P. GANTAYAT, “Comprehensive assessment of Himalayan glacial lakes concerning their distribution, dynamics, and hazard potential,” <i>Geomatics Natural Hazards and Risk</i>, vol. 17, no. 1. Taylor &#38; Francis, 2026."},"article_type":"original","article_processing_charge":"Yes","date_published":"2026-03-04T00:00:00Z","_id":"21454","abstract":[{"lang":"eng","text":"This study examines the distribution, growth, and GLOF hazard of glacial lakes across major Himalayan river basins. Basin-wise GLOF susceptibility was assessed using glacial lake abundance, spatial distribution, and rates of lake area expansion. The Kosi, Yarlung Zangbo, Manas, and Upper Indus basins were identified as the most susceptible and classified as critical. The highest rates of lake size increase were observed in the Kosi Basin, followed by Yarlung Zangbo, Manas, Karnali, Upper Indus, and Tista, indicating their potential as future GLOF-prone regions. Moreover, a Himalayan-scale GLOF hazard map was generated integrating population, hydropower infrastructure, potential flood volume, roads, settlements, and railways revealing high hazard levels in the Chenab, Jhelum, Teesta, and Beas basins in India; the Koshi, Tama-Koshi, and Dudh-Koshi basins in Nepal; and the Kuri Chu sub-basin of the Manas Basin in Bhutan. These findings highlight priority regions where detailed field investigations and hydrodynamic modelling are essential before further infrastructure development."}],"file_date_updated":"2026-03-16T10:18:26Z","type":"journal_article","publication_status":"published","oa":1,"publisher":"Taylor & Francis","doi":"10.1080/19475705.2026.2639085","quality_controlled":"1","month":"03","PlanS_conform":"1","status":"public","acknowledgement":"The work is partially financed by USDMA and WIHG, Dehradun. The authors would like to express their sincere gratitude to Dr. Ashim Sattar for his valuable insights, constructive suggestions, and contributions toward refining and improving the quality of this work. I want to give my special thanks to Mr. Sourav Anand and Mr. Shivyank Negi for helping me create the database. I would also like to thank IIT Kharagpur. For further data access, the corresponding authors can be contacted.","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"volume":17,"date_updated":"2026-03-16T10:21:38Z","DOAJ_listed":"1","day":"04","publication_identifier":{"issn":["1947-5705"],"eissn":["1947-5713"]},"year":"2026","scopus_import":"1","publication":"Geomatics Natural Hazards and Risk","oa_version":"Published Version","language":[{"iso":"eng"}]},{"abstract":[{"lang":"eng","text":"On October 4, 2023, a proglacial lake named the South Lhonak lake was the source of a catastrophic Glacier Lake Outburst Flood (GLOF) in the Teesta river basin area, resulting in 24 fatalities and leaving over 70 persons missing. The GLOF also destroyed 13 bridges and a major hydropower plant in the Chungthang region. Over 60,000 individuals in four districts of Sikkim were impacted by this GLOF event. This study examines the factors that led to the GLOF event. Our study shows that the cause of this GLOF was initiated by a landslide, that dumped a substantial amount (~ 38.31 million m3) of debris into the South Lhonak Lake. Furthermore, the glacier that was connected to the lake, lost a big chunk of ice mass (~ 7 million m3) due to calving. The combination of these two processes led to the collapse of the left lateral moraine that consequently generated flood waves which breached the terminal moraine dam of the lake. We recommend monitoring land subsidence and calving events for large proglacial lakes to prevent the disastrous consequences of such GLOFs in the future."}],"file_date_updated":"2026-05-04T07:24:59Z","_id":"21708","date_published":"2026-03-24T00:00:00Z","article_processing_charge":"Yes","article_type":"original","citation":{"ista":"Mohanty LK, GANTAYAT P, Dixit A, Das Adhikari M, Biswas R, Singh VK. 2026. Sequence of events that led to the South Lhonak lake outburst flood in Sikkim, India. Scientific Reports. 16, 9741.","short":"L.K. Mohanty, P. GANTAYAT, A. Dixit, M. Das Adhikari, R. Biswas, V.K. Singh, Scientific Reports 16 (2026).","chicago":"Mohanty, Litan Kumar, PRATEEK GANTAYAT, Ankur Dixit, Manik Das Adhikari, Rahul Biswas, and Vivek Kumar Singh. “Sequence of Events That Led to the South Lhonak Lake Outburst Flood in Sikkim, India.” <i>Scientific Reports</i>. Springer Nature, 2026. <a href=\"https://doi.org/10.1038/s41598-026-35895-7\">https://doi.org/10.1038/s41598-026-35895-7</a>.","apa":"Mohanty, L. K., GANTAYAT, P., Dixit, A., Das Adhikari, M., Biswas, R., &#38; Singh, V. K. (2026). Sequence of events that led to the South Lhonak lake outburst flood in Sikkim, India. <i>Scientific Reports</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41598-026-35895-7\">https://doi.org/10.1038/s41598-026-35895-7</a>","ieee":"L. K. Mohanty, P. GANTAYAT, A. Dixit, M. Das Adhikari, R. Biswas, and V. K. Singh, “Sequence of events that led to the South Lhonak lake outburst flood in Sikkim, India,” <i>Scientific Reports</i>, vol. 16. Springer Nature, 2026.","mla":"Mohanty, Litan Kumar, et al. “Sequence of Events That Led to the South Lhonak Lake Outburst Flood in Sikkim, India.” <i>Scientific Reports</i>, vol. 16, 9741, Springer Nature, 2026, doi:<a href=\"https://doi.org/10.1038/s41598-026-35895-7\">10.1038/s41598-026-35895-7</a>.","ama":"Mohanty LK, GANTAYAT P, Dixit A, Das Adhikari M, Biswas R, Singh VK. Sequence of events that led to the South Lhonak lake outburst flood in Sikkim, India. <i>Scientific Reports</i>. 2026;16. doi:<a href=\"https://doi.org/10.1038/s41598-026-35895-7\">10.1038/s41598-026-35895-7</a>"},"pmid":1,"publisher":"Springer Nature","oa":1,"doi":"10.1038/s41598-026-35895-7","quality_controlled":"1","publication_status":"published","type":"journal_article","has_accepted_license":"1","department":[{"_id":"FrPe"}],"external_id":{"pmid":["41876546"]},"intvolume":"        16","ddc":["550"],"article_number":"9741","title":"Sequence of events that led to the South Lhonak lake outburst flood in Sikkim, India","OA_place":"publisher","OA_type":"gold","file":[{"access_level":"open_access","date_updated":"2026-05-04T07:24:59Z","file_id":"21785","date_created":"2026-05-04T07:24:59Z","relation":"main_file","checksum":"cf13f61c38609ce6518d74562319c35f","success":1,"content_type":"application/pdf","file_size":17406006,"creator":"dernst","file_name":"2026_ScienceAdv_Mohanty.pdf"}],"date_created":"2026-04-12T22:01:48Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"full_name":"Mohanty, Litan Kumar","last_name":"Mohanty","first_name":"Litan Kumar"},{"full_name":"Gantayat, Prateek","id":"02734268-3e8d-11ef-80a1-cec4a088d004","last_name":"Gantayat","first_name":"Prateek"},{"full_name":"Dixit, Ankur","first_name":"Ankur","last_name":"Dixit"},{"full_name":"Das Adhikari, Manik","last_name":"Das Adhikari","first_name":"Manik"},{"first_name":"Rahul","last_name":"Biswas","full_name":"Biswas, Rahul"},{"full_name":"Singh, Vivek Kumar","first_name":"Vivek Kumar","last_name":"Singh"}],"license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","year":"2026","publication_identifier":{"eissn":["2045-2322"]},"day":"24","DOAJ_listed":"1","language":[{"iso":"eng"}],"corr_author":"1","scopus_import":"1","oa_version":"Published Version","publication":"Scientific Reports","month":"03","acknowledgement":"This work was carried out independently without the support of any funding agency or sponsors. The authors thank the SARPROZ team for providing an evaluation license for the MTInSAR processing software.","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"date_updated":"2026-05-04T07:54:53Z","volume":16},{"issue":"3","author":[{"first_name":"Francesca","last_name":"Pellicciotti","orcid":"0000-0002-5554-8087","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","full_name":"Pellicciotti, Francesca"},{"first_name":"Adrià","last_name":"Fontrodona-Bach","id":"f06891fd-9f42-11ee-8632-a20971c43046","full_name":"Fontrodona-Bach, Adrià"},{"full_name":"Rounce, David R.","last_name":"Rounce","first_name":"David R."},{"first_name":"Catriona Louise","last_name":"Fyffe","full_name":"Fyffe, Catriona Louise","id":"001b0422-8d15-11ed-bc51-cab6c037a228"},{"full_name":"Anderson, Leif S.","first_name":"Leif S.","last_name":"Anderson"},{"first_name":"Álvaro","last_name":"Ayala","full_name":"Ayala, Álvaro"},{"full_name":"Brock, Ben W.","last_name":"Brock","first_name":"Ben W."},{"full_name":"Buri, Pascal","first_name":"Pascal","last_name":"Buri"},{"first_name":"Stefan","last_name":"Fugger","full_name":"Fugger, Stefan"},{"first_name":"Koji","last_name":"Fujita","full_name":"Fujita, Koji"},{"id":"02734268-3e8d-11ef-80a1-cec4a088d004","full_name":"GANTAYAT, PRATEEK","first_name":"PRATEEK","last_name":"GANTAYAT"},{"first_name":"Alexander R.","last_name":"Groos","full_name":"Groos, Alexander R."},{"last_name":"Immerzeel","first_name":"Walter","full_name":"Immerzeel, Walter"},{"full_name":"Kneib, Marin","last_name":"Kneib","first_name":"Marin"},{"last_name":"Mayer","first_name":"Christoph","full_name":"Mayer, Christoph"},{"full_name":"MacDonell, Shelley","last_name":"MacDonell","first_name":"Shelley"},{"first_name":"Michael","last_name":"McCarthy","full_name":"McCarthy, Michael","id":"22a2674a-61ce-11ee-94b5-d18813baf16f"},{"last_name":"McPhee","first_name":"James","full_name":"McPhee, James"},{"full_name":"Miles, Evan","first_name":"Evan","last_name":"Miles"},{"first_name":"Heather","last_name":"Purdie","full_name":"Purdie, Heather"},{"last_name":"Rets","first_name":"Ekaterina","full_name":"Rets, Ekaterina"},{"full_name":"Sakai, Akiko","last_name":"Sakai","first_name":"Akiko"},{"orcid":"0000-0001-7640-6152","last_name":"Shaw","first_name":"Thomas","full_name":"Shaw, Thomas","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e"},{"full_name":"Steiner, Jakob","last_name":"Steiner","first_name":"Jakob"},{"full_name":"Wagnon, Patrick","first_name":"Patrick","last_name":"Wagnon"},{"last_name":"Winter-Billington","first_name":"Alex","full_name":"Winter-Billington, Alex"}],"date_created":"2026-05-07T08:48:38Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","file":[{"file_name":"2026_Cryosphere_Pellicciotti.pdf","checksum":"f15abad4ee360d41a3e8794f068711fc","success":1,"creator":"dernst","content_type":"application/pdf","file_size":3168394,"date_created":"2026-05-18T06:07:53Z","relation":"main_file","file_id":"21886","access_level":"open_access","date_updated":"2026-05-18T06:07:53Z"}],"OA_place":"publisher","title":"DCG-MIP: The debris-covered glacier melt model intercomparison experiment","OA_type":"gold","ddc":["550"],"intvolume":"        20","department":[{"_id":"FrPe"}],"has_accepted_license":"1","type":"journal_article","publication_status":"published","quality_controlled":"1","publisher":"Copernicus Publications","doi":"10.5194/tc-20-1895-2026","oa":1,"date_published":"2026-04-02T00:00:00Z","article_processing_charge":"Yes","article_type":"original","citation":{"ama":"Pellicciotti F, Fontrodona-Bach A, Rounce DR, et al. DCG-MIP: The debris-covered glacier melt model intercomparison experiment. <i>The Cryosphere</i>. 2026;20(3):1895-1928. doi:<a href=\"https://doi.org/10.5194/tc-20-1895-2026\">10.5194/tc-20-1895-2026</a>","mla":"Pellicciotti, Francesca, et al. “DCG-MIP: The Debris-Covered Glacier Melt Model Intercomparison Experiment.” <i>The Cryosphere</i>, vol. 20, no. 3, Copernicus Publications, 2026, pp. 1895–928, doi:<a href=\"https://doi.org/10.5194/tc-20-1895-2026\">10.5194/tc-20-1895-2026</a>.","ieee":"F. Pellicciotti <i>et al.</i>, “DCG-MIP: The debris-covered glacier melt model intercomparison experiment,” <i>The Cryosphere</i>, vol. 20, no. 3. Copernicus Publications, pp. 1895–1928, 2026.","chicago":"Pellicciotti, Francesca, Adrià Fontrodona-Bach, David R. Rounce, Catriona Louise Fyffe, Leif S. Anderson, Álvaro Ayala, Ben W. Brock, et al. “DCG-MIP: The Debris-Covered Glacier Melt Model Intercomparison Experiment.” <i>The Cryosphere</i>. Copernicus Publications, 2026. <a href=\"https://doi.org/10.5194/tc-20-1895-2026\">https://doi.org/10.5194/tc-20-1895-2026</a>.","apa":"Pellicciotti, F., Fontrodona-Bach, A., Rounce, D. R., Fyffe, C. L., Anderson, L. S., Ayala, Á., … Winter-Billington, A. (2026). DCG-MIP: The debris-covered glacier melt model intercomparison experiment. <i>The Cryosphere</i>. Copernicus Publications. <a href=\"https://doi.org/10.5194/tc-20-1895-2026\">https://doi.org/10.5194/tc-20-1895-2026</a>","short":"F. Pellicciotti, A. Fontrodona-Bach, D.R. Rounce, C.L. Fyffe, L.S. Anderson, Á. Ayala, B.W. Brock, P. Buri, S. Fugger, K. Fujita, P. GANTAYAT, A.R. Groos, W. Immerzeel, M. Kneib, C. Mayer, S. MacDonell, M. McCarthy, J. McPhee, E. Miles, H. Purdie, E. Rets, A. Sakai, T. Shaw, J. Steiner, P. Wagnon, A. Winter-Billington, The Cryosphere 20 (2026) 1895–1928.","ista":"Pellicciotti F, Fontrodona-Bach A, Rounce DR, Fyffe CL, Anderson LS, Ayala Á, Brock BW, Buri P, Fugger S, Fujita K, GANTAYAT P, Groos AR, Immerzeel W, Kneib M, Mayer C, MacDonell S, McCarthy M, McPhee J, Miles E, Purdie H, Rets E, Sakai A, Shaw T, Steiner J, Wagnon P, Winter-Billington A. 2026. DCG-MIP: The debris-covered glacier melt model intercomparison experiment. The Cryosphere. 20(3), 1895–1928."},"abstract":[{"lang":"eng","text":"In a warming world of glacier changes, the scientific community has dedicated increasing attention to debris-covered glaciers and their response to climate. A variety of models with distinct complexity and data requirements have been developed and widely used to simulate melt under debris at different sites and scales, but their skills have never been compared. As part of the activities of the International Association of Cryospheric Sciences (IACS) Debris Covered Glacier Working Group, we present an intercomparison exercise aimed at advancing our understanding of model skills in simulating ice melt under a debris layer. We compare 15 models with different complexity at nine sites in the European Alps, Caucasus, Chilean Andes, Nepalese Himalaya and the Southern Alps of New Zealand, over one melt season. We run the models with measured meteorological data from automatic weather stations and estimated or measured debris properties. We consider four main model categories: (i) energy balance models that calculate melt by solving the physics of heat transfer to the debris layer, but require a high amount of input data; (ii) a simplified energy balance model; (iii) enhanced temperature-index models; and (iv) simple empirical temperature-index models that have been extensively used given their low data requirement but require calibration of their empirical parameters. Model performance is evaluated using on-site measurements of sub-debris melt (for all models) and surface temperature (for models based on the surface energy balance). Our results show that physically-based energy balance models and empirical temperature-index models perform in a distinct manner. At one end of the spectrum, simple temperature-index models are accurate when recalibrated or when using site-specific literature parameters, and show poor results when parameters are uncalibrated. At the other end, energy balance models show a range of performance: the most accurate energy balance models are those with the highest degree of complexity at the atmosphere-debris interface. An important data gap emerged from our experiment: the poor performance of all models at three sites was related to the poor knowledge of debris properties, and specifically of thermal conductivity. Future work should focus on both: (i) consistent data acquisition to evaluate existing models and support new model developments; (ii) advancing models by accounting for processes such as debris-snow interactions, moisture in the debris and refreezing. We suggest that a systematic effort of model development using a common model framework could be carried out in phase II of the Working Group."}],"file_date_updated":"2026-05-18T06:07:53Z","_id":"21837","date_updated":"2026-05-18T06:12:56Z","volume":20,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"page":"1895-1928","acknowledgement":"This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme grant agreement No\r\n772751, RAVEN, “Rapid mass losses of debris covered glaciers in\r\nHigh Mountain Asia”. It was also supported by the SNSF RENOIR\r\nproject “Resolving the thickness of debris on Earth’s glaciers and\r\nits rate of change (RENOIR)”, project number 204322.\r\nDavid Rounce received support from NASA-ROSES program\r\ngrants NNX17AB27G and 80NSSC17K0566. Walter Immerzeel\r\nand Jakob Steiner acknowledge support from the European Research Council (ERC) under the European Union’s Horizon 2020\r\nresearch and innovation program (grant agreement no. 676819).\r\nBen Brock acknowledges support from the EU/FP7 ACQWA\r\n(Assessing Climate impacts on the Quantity and quality of WAter) project, NERC grant NE/C514282/1, the British Council-Italian\r\nMinistry of University and Research Partnership programme and\r\nthe Carnegie Trust for the Universities of Scotland.\r\nThe authors acknowledge the International Association of\r\nCryospheric Sciences (IACS) for supporting the creation of the\r\nDebris-Covered Glaciers Working Group (DCG-WG) which enabled this model intercomparison experiment.\r\nThe authors thank Martin Heynen for producing Figs. 3 and 4.\r\nThe authors thank Duncan Quincey and Richard Essery for their\r\nconstructive feedback and comments.\r\n","status":"public","PlanS_conform":"1","month":"04","publication":"The Cryosphere","oa_version":"Published Version","scopus_import":"1","corr_author":"1","language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1994-0424"]},"DOAJ_listed":"1","day":"02","year":"2026"},{"status":"public","PlanS_conform":"1","acknowledgement":"AFB acknowledges funding from the UK's Natural Environment Research Council (NERC) CENTA2 doctoral training program, grant number NE/S007350/1. AFB acknowledges support from the School of Geography, Earth and Environmental Science research fund. The computations described in this paper were performed using the University of Birmingham's BlueBEAR HPC service, which provides a High Performance Computing service to the University's research community. See http://www.birmingham.ac.uk/bear (last access: 15 December 2025) for more details. This research has been supported by the Natural Environment Research Council (grant no. CENTA2 NE/S007350/1).","month":"05","page":"2613-2636","date_updated":"2026-06-02T09:24:00Z","volume":30,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"year":"2026","day":"04","DOAJ_listed":"1","publication_identifier":{"issn":["1027-5606"],"eissn":["1607-7938"]},"corr_author":"1","language":[{"iso":"eng"}],"oa_version":"Published Version","publication":"Hydrology and Earth System Sciences","scopus_import":"1","department":[{"_id":"FrPe"}],"has_accepted_license":"1","ddc":["550"],"intvolume":"        30","file":[{"date_created":"2026-06-02T09:22:26Z","relation":"main_file","file_id":"21940","date_updated":"2026-06-02T09:22:26Z","access_level":"open_access","file_name":"2026_HydrologyEarthSystemSciences_FontrodonaBach.pdf","content_type":"application/pdf","file_size":11250378,"creator":"dernst","success":1,"checksum":"8bde4775545f9e049ea3806144b0d5f1"}],"OA_type":"gold","OA_place":"publisher","title":"Estimating robust melt factors and temperature thresholds for snow modelling across the Northern Hemisphere","author":[{"id":"f06891fd-9f42-11ee-8632-a20971c43046","full_name":"Fontrodona-Bach, Adrià","last_name":"Fontrodona-Bach","first_name":"Adrià"},{"last_name":"Schaefli","first_name":"Bettina","full_name":"Schaefli, Bettina"},{"full_name":"Woods, Ross","last_name":"Woods","first_name":"Ross"},{"full_name":"Larsen, Joshua R.","first_name":"Joshua R.","last_name":"Larsen"}],"issue":"9","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2026-05-24T22:01:32Z","_id":"21915","file_date_updated":"2026-06-02T09:22:26Z","abstract":[{"text":"Hydrological models commonly use very simple snow accumulation and melt models based on air temperature information, namely, a temperature threshold for snow accumulation as well as for snowmelt, and a melt factor. This utility emerges due to the simplicity, efficiency, and generally good performance of such models if sufficient calibration information is available. At scales beyond single gauged catchments, the estimation and evaluation of the temperature thresholds and the melt factor has been difficult due to a lack of observations on snow accumulation and melt. Using a recently published Northern Hemisphere snow water equivalent dataset (NH-SWE) and co-located climate station observations of temperature and precipitation (4736 stations across the Northern Hemisphere), this work estimates melt factors and temperature thresholds for snow modelling based on station observations and provides the first large-scale and long-term (1950–2023) evaluation of a simple temperature-index snow model and its parameters across a diverse range of snow climates. Our study reveals that the 0 °C as precipitation-phase threshold captures most snowfall days (89 %) and the 0 °C as snowmelt initiation threshold captures most snowmelt days (76 %). Adjusting large-scale uniform threshold values does not consistently improve performance across all snow accumulation and melt metrics. Estimated melt factors based on observations converge towards 3–5 mm (°C d)−1 for deeper snowpack climates (peak snow water equivalent >300 mm), but their estimation may be more challenging for colder climates with shallower snowpacks (<300 mm), conditions where the derived melt factors cover a wider range (1 to 12 mm (°C d)−1) and a much higher interannual and spatial variability. The temperature-index snow model performs consistently well, on average, across the available Northern Hemisphere data set for estimating long-term mean values of seasonal snow cover onset, snowmelt season onset, mean snow accumulation and snowmelt rates, but challenges may arise due to biases in temperature records or solid precipitation undercatch. Peak snow water equivalent is likely underestimated for deep or alpine snowpacks, while it is likely overestimated for shallow snowpacks in the coldest and continental climates. The best median performance of the temperature-index approach lies on relatively shallow snowpacks in temperate climates. This study provides valuable insights into temperature-threshold snowfall modelling and temperature-index melt modelling for applications across diverse climates and environments, and the results should help refine regional modelling approaches to enhance our understanding of snowpack responses to global warming.","lang":"eng"}],"citation":{"ieee":"A. Fontrodona-Bach, B. Schaefli, R. Woods, and J. R. Larsen, “Estimating robust melt factors and temperature thresholds for snow modelling across the Northern Hemisphere,” <i>Hydrology and Earth System Sciences</i>, vol. 30, no. 9. Copernicus Publications, pp. 2613–2636, 2026.","mla":"Fontrodona-Bach, Adrià, et al. “Estimating Robust Melt Factors and Temperature Thresholds for Snow Modelling across the Northern Hemisphere.” <i>Hydrology and Earth System Sciences</i>, vol. 30, no. 9, Copernicus Publications, 2026, pp. 2613–36, doi:<a href=\"https://doi.org/10.5194/hess-30-2613-2026\">10.5194/hess-30-2613-2026</a>.","ama":"Fontrodona-Bach A, Schaefli B, Woods R, Larsen JR. Estimating robust melt factors and temperature thresholds for snow modelling across the Northern Hemisphere. <i>Hydrology and Earth System Sciences</i>. 2026;30(9):2613-2636. doi:<a href=\"https://doi.org/10.5194/hess-30-2613-2026\">10.5194/hess-30-2613-2026</a>","ista":"Fontrodona-Bach A, Schaefli B, Woods R, Larsen JR. 2026. Estimating robust melt factors and temperature thresholds for snow modelling across the Northern Hemisphere. Hydrology and Earth System Sciences. 30(9), 2613–2636.","short":"A. Fontrodona-Bach, B. Schaefli, R. Woods, J.R. Larsen, Hydrology and Earth System Sciences 30 (2026) 2613–2636.","apa":"Fontrodona-Bach, A., Schaefli, B., Woods, R., &#38; Larsen, J. R. (2026). Estimating robust melt factors and temperature thresholds for snow modelling across the Northern Hemisphere. <i>Hydrology and Earth System Sciences</i>. Copernicus Publications. <a href=\"https://doi.org/10.5194/hess-30-2613-2026\">https://doi.org/10.5194/hess-30-2613-2026</a>","chicago":"Fontrodona-Bach, Adrià, Bettina Schaefli, Ross Woods, and Joshua R. Larsen. “Estimating Robust Melt Factors and Temperature Thresholds for Snow Modelling across the Northern Hemisphere.” <i>Hydrology and Earth System Sciences</i>. Copernicus Publications, 2026. <a href=\"https://doi.org/10.5194/hess-30-2613-2026\">https://doi.org/10.5194/hess-30-2613-2026</a>."},"article_type":"original","article_processing_charge":"Yes","date_published":"2026-05-04T00:00:00Z","quality_controlled":"1","oa":1,"doi":"10.5194/hess-30-2613-2026","publisher":"Copernicus Publications","publication_status":"published","type":"journal_article"},{"month":"07","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_updated":"2026-07-02T06:42:37Z","year":"2026","conference":{"location":"Vienna, Austria & Virtual","end_date":"2026-05-08","start_date":"2026-05-03","name":"EGU General Assembly"},"day":"02","language":[{"iso":"eng"}],"corr_author":"1","oa_version":"Published Version","publication":"EGU General Assembly 2026","has_accepted_license":"1","department":[{"_id":"FrPe"},{"_id":"GradSch"}],"article_number":"EGU26-19367","ddc":["550"],"title":"Constraining debris input to Oberaletsch Glacier using ensemble-based Lagrangian modelling","OA_type":"gold","OA_place":"publisher","file":[{"file_name":"2026_EGU26_MunozHermosilla.pdf","success":1,"checksum":"2ea3e691cfa53176d0e801b9172842d6","creator":"dernst","file_size":284023,"content_type":"application/pdf","file_id":"22233","relation":"main_file","date_created":"2026-07-02T06:22:50Z","access_level":"open_access","date_updated":"2026-07-02T06:22:50Z"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2026-06-22T12:16:50Z","author":[{"full_name":"Muñoz Hermosilla, José M","id":"e1037a6d-646e-11ef-b402-e0ed9ab0901e","orcid":"0000-0002-1990-8508","first_name":"José M","last_name":"Muñoz Hermosilla"},{"full_name":"Miles, Evan","last_name":"Miles","first_name":"Evan"},{"full_name":"McCarthy, Michael","id":"22a2674a-61ce-11ee-94b5-d18813baf16f","first_name":"Michael","last_name":"McCarthy"},{"last_name":"Melo Velasco","first_name":"Juan Vicente","full_name":"Melo Velasco, Juan Vicente","id":"2611dec0-b9c6-11ed-9bea-a81c2b17a549"},{"full_name":"Hardmeier, Florian","first_name":"Florian","last_name":"Hardmeier"},{"full_name":"GANTAYAT, PRATEEK","id":"02734268-3e8d-11ef-80a1-cec4a088d004","last_name":"GANTAYAT","first_name":"PRATEEK"},{"last_name":"Fontrodona-Bach","first_name":"Adrià","id":"f06891fd-9f42-11ee-8632-a20971c43046","full_name":"Fontrodona-Bach, Adrià"},{"full_name":"Jouvet, Guillaume","first_name":"Guillaume","last_name":"Jouvet"},{"orcid":"0000-0002-5554-8087","first_name":"Francesca","last_name":"Pellicciotti","full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70"}],"_id":"22119","file_date_updated":"2026-07-02T06:22:50Z","citation":{"ama":"Muñoz Hermosilla JM, Miles E, McCarthy M, et al. Constraining debris input to Oberaletsch Glacier using ensemble-based Lagrangian modelling. In: <i>EGU General Assembly 2026</i>. European Geosciences Union; 2026. doi:<a href=\"https://doi.org/10.5194/egusphere-egu26-19367\">10.5194/egusphere-egu26-19367</a>","mla":"Muñoz Hermosilla, José M., et al. “Constraining Debris Input to Oberaletsch Glacier Using Ensemble-Based Lagrangian Modelling.” <i>EGU General Assembly 2026</i>, EGU26-19367, European Geosciences Union, 2026, doi:<a href=\"https://doi.org/10.5194/egusphere-egu26-19367\">10.5194/egusphere-egu26-19367</a>.","ieee":"J. M. Muñoz Hermosilla <i>et al.</i>, “Constraining debris input to Oberaletsch Glacier using ensemble-based Lagrangian modelling,” in <i>EGU General Assembly 2026</i>, Vienna, Austria &#38; Virtual, 2026.","chicago":"Muñoz Hermosilla, José M, Evan Miles, Michael McCarthy, Juan Vicente Melo Velasco, Florian Hardmeier, PRATEEK GANTAYAT, Adrià Fontrodona-Bach, Guillaume Jouvet, and Francesca Pellicciotti. “Constraining Debris Input to Oberaletsch Glacier Using Ensemble-Based Lagrangian Modelling.” In <i>EGU General Assembly 2026</i>. European Geosciences Union, 2026. <a href=\"https://doi.org/10.5194/egusphere-egu26-19367\">https://doi.org/10.5194/egusphere-egu26-19367</a>.","apa":"Muñoz Hermosilla, J. M., Miles, E., McCarthy, M., Melo Velasco, J. V., Hardmeier, F., GANTAYAT, P., … Pellicciotti, F. (2026). Constraining debris input to Oberaletsch Glacier using ensemble-based Lagrangian modelling. In <i>EGU General Assembly 2026</i>. Vienna, Austria &#38; Virtual: European Geosciences Union. <a href=\"https://doi.org/10.5194/egusphere-egu26-19367\">https://doi.org/10.5194/egusphere-egu26-19367</a>","short":"J.M. Muñoz Hermosilla, E. Miles, M. McCarthy, J.V. Melo Velasco, F. Hardmeier, P. GANTAYAT, A. Fontrodona-Bach, G. Jouvet, F. Pellicciotti, in:, EGU General Assembly 2026, European Geosciences Union, 2026.","ista":"Muñoz Hermosilla JM, Miles E, McCarthy M, Melo Velasco JV, Hardmeier F, GANTAYAT P, Fontrodona-Bach A, Jouvet G, Pellicciotti F. 2026. Constraining debris input to Oberaletsch Glacier using ensemble-based Lagrangian modelling. EGU General Assembly 2026. EGU General Assembly, EGU26-19367."},"article_processing_charge":"No","date_published":"2026-07-02T00:00:00Z","publisher":"European Geosciences Union","doi":"10.5194/egusphere-egu26-19367","oa":1,"publication_status":"published","type":"conference_abstract"},{"PlanS_conform":"1","status":"public","acknowledgement":"This work is the result of collaboration and discussions within HEFEX II, and we are grateful to all colleagues who have contributed to and enriched these discussions in various ways. T. Sauter acknowledges funding from the German Research Foundation (DFG) (Grant 543257843). This research was funded in part by the Austrian Science Fund (FWF) (Grant https://doi.org/10.55776/P36624 and https://doi.org/10.55776/P36306) for which E. Collier and R. Prinz are grateful. A. R. Groos, T. E. Shaw, R. Mott and M. Haugeneder acknowledge Transnational Access from the European Union's H2020 project INTERACT III (Grant 871120) for participation in the HEFEX II campaign and working group. I. Stiperski (Grant Agreement No. 101001691) and A. R. Groos (Grant Agreement No. 948290) acknowledge funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program. R. Mott acknowledges funding from the Swiss National Science Foundation (SNSF) (Grant 200021_219918). B. Goger is supported by EXCLAIM, a project funded by ETH Zurich. J.E. Sicart acknowledges LabEx OSUG@2020 (Investissements d'avenir - ANR10 LABX56) for participation in the HEFEX II campaign and working group. T. E. Shaw acknowledges funding from the EU Horizon 2020 Marie Skłodowska-Curie Grant 101026058 and 101034413. K. F. Haualand and T. Sauter are supported by the JOSTICE project funded by the Research Council of Norway (RCN Grant 302458).","month":"01","das_tickbox":"1","date_updated":"2026-07-07T06:16:15Z","volume":64,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"day":"05","publication_identifier":{"eissn":["1944-9208"],"issn":["8755-1209"]},"year":"2026","publication":"Reviews of Geophysics","oa_version":"Published Version","scopus_import":"1","language":[{"iso":"eng"}],"article_number":"e2024RG000869","ddc":["550"],"intvolume":"        64","department":[{"_id":"FrPe"}],"has_accepted_license":"1","author":[{"last_name":"Sauter","first_name":"T.","full_name":"Sauter, T."},{"last_name":"Brock","first_name":"B. W.","full_name":"Brock, B. W."},{"first_name":"E.","last_name":"Collier","full_name":"Collier, E."},{"full_name":"Goger, B.","first_name":"B.","last_name":"Goger"},{"first_name":"A. R.","last_name":"Groos","full_name":"Groos, A. R."},{"full_name":"Haualand, K. F.","first_name":"K. F.","last_name":"Haualand"},{"full_name":"Mott, R.","first_name":"R.","last_name":"Mott"},{"first_name":"L.","last_name":"Nicholson","full_name":"Nicholson, L."},{"full_name":"Prinz, R.","first_name":"R.","last_name":"Prinz"},{"full_name":"Shaw, Thomas","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e","orcid":"0000-0001-7640-6152","first_name":"Thomas","last_name":"Shaw"},{"first_name":"I.","last_name":"Stiperski","full_name":"Stiperski, I."},{"last_name":"Georgi","first_name":"A.","full_name":"Georgi, A."},{"full_name":"Haugeneder, M.","last_name":"Haugeneder","first_name":"M."},{"full_name":"Mandal, A.","first_name":"A.","last_name":"Mandal"},{"first_name":"D.","last_name":"Reynolds","full_name":"Reynolds, D."},{"first_name":"M.","last_name":"Saigger","full_name":"Saigger, M."},{"first_name":"J. E.","last_name":"Sicart","full_name":"Sicart, J. E."},{"last_name":"Voordendag","first_name":"A.","full_name":"Voordendag, A."}],"issue":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2026-01-11T23:01:33Z","project":[{"name":"IST-BRIDGE: International postdoctoral program","call_identifier":"H2020","grant_number":"101034413","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c"}],"OA_type":"hybrid","title":"Glacier-atmosphere interactions and feedbacks in high-mountain regions - A review","OA_place":"publisher","ec_funded":1,"article_type":"original","citation":{"short":"T. Sauter, B.W. Brock, E. Collier, B. Goger, A.R. Groos, K.F. Haualand, R. Mott, L. Nicholson, R. Prinz, T. Shaw, I. Stiperski, A. Georgi, M. Haugeneder, A. Mandal, D. Reynolds, M. Saigger, J.E. Sicart, A. Voordendag, Reviews of Geophysics 64 (2026).","ista":"Sauter T, Brock BW, Collier E, Goger B, Groos AR, Haualand KF, Mott R, Nicholson L, Prinz R, Shaw T, Stiperski I, Georgi A, Haugeneder M, Mandal A, Reynolds D, Saigger M, Sicart JE, Voordendag A. 2026. Glacier-atmosphere interactions and feedbacks in high-mountain regions - A review. Reviews of Geophysics. 64(1), e2024RG000869.","chicago":"Sauter, T., B. W. Brock, E. Collier, B. Goger, A. R. Groos, K. F. Haualand, R. Mott, et al. “Glacier-Atmosphere Interactions and Feedbacks in High-Mountain Regions - A Review.” <i>Reviews of Geophysics</i>. Wiley, 2026. <a href=\"https://doi.org/10.1029/2024RG000869\">https://doi.org/10.1029/2024RG000869</a>.","apa":"Sauter, T., Brock, B. W., Collier, E., Goger, B., Groos, A. R., Haualand, K. F., … Voordendag, A. (2026). Glacier-atmosphere interactions and feedbacks in high-mountain regions - A review. <i>Reviews of Geophysics</i>. Wiley. <a href=\"https://doi.org/10.1029/2024RG000869\">https://doi.org/10.1029/2024RG000869</a>","ieee":"T. Sauter <i>et al.</i>, “Glacier-atmosphere interactions and feedbacks in high-mountain regions - A review,” <i>Reviews of Geophysics</i>, vol. 64, no. 1. Wiley, 2026.","ama":"Sauter T, Brock BW, Collier E, et al. Glacier-atmosphere interactions and feedbacks in high-mountain regions - A review. <i>Reviews of Geophysics</i>. 2026;64(1). doi:<a href=\"https://doi.org/10.1029/2024RG000869\">10.1029/2024RG000869</a>","mla":"Sauter, T., et al. “Glacier-Atmosphere Interactions and Feedbacks in High-Mountain Regions - A Review.” <i>Reviews of Geophysics</i>, vol. 64, no. 1, e2024RG000869, Wiley, 2026, doi:<a href=\"https://doi.org/10.1029/2024RG000869\">10.1029/2024RG000869</a>."},"date_published":"2026-01-05T00:00:00Z","article_processing_charge":"Yes (in subscription journal)","_id":"20971","abstract":[{"lang":"eng","text":"Mountain glaciers are among the natural systems most vulnerable to climate change. However, their interactions with the atmosphere are complex and not fully understood. These interactions can trigger rapid adjustments and climate feedbacks that either amplify or attenuate atmospheric signals, influencing both glacier response and large-scale atmospheric circulation. Observing this functional coupling in nature is challenging because the key processes occur over a wide range of spatial and temporal scales. However, recent advances in observational techniques and modeling have provided new insights into these interactions. In this review, we summarize the current state of knowledge on glacier-atmosphere interactions in high-mountain regions at different scales, and highlight recent advances in observational and numerical modeling. We also highlight important knowledge gaps and outline future research directions to improve the prediction of glacier change in a warming world."}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1029/2024RG000869"}],"type":"journal_article","publication_status":"epub_ahead","doi":"10.1029/2024RG000869","oa":1,"publisher":"Wiley"},{"page":"5283-5298","month":"11","acknowledgement":"We thank Maud Bernat for helping with the modification of the automatic detection code and Michael McCarthy for preparing snowline data derived from the MODIS satellite. This research was supported by the JSPS–SNSF (Japan Society for the Promotion of Science–Swiss National Science Foundation) bilateral program project (HOPE, High-elevation precipitation in High Mountain Asia; JPJSJRP 20191503, grant no. 183633) and JSPS KAKENHI (grant nos. 23K13417 and 23H01509).","status":"public","PlanS_conform":"1","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_updated":"2026-02-17T12:49:00Z","volume":19,"publication_identifier":{"eissn":["1994-0424"]},"DOAJ_listed":"1","day":"01","year":"2025","oa_version":"Published Version","publication":"The Cryosphere","language":[{"iso":"eng"}],"intvolume":"        19","ddc":["550"],"has_accepted_license":"1","department":[{"_id":"FrPe"}],"date_created":"2026-02-16T15:36:51Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","issue":"11","author":[{"full_name":"Sasaki, Orie","last_name":"Sasaki","first_name":"Orie"},{"full_name":"Miles, Evan S.","first_name":"Evan S.","last_name":"Miles"},{"orcid":"0000-0002-5554-8087","first_name":"Francesca","last_name":"Pellicciotti","full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70"},{"last_name":"Sakai","first_name":"Akiko","full_name":"Sakai, Akiko"},{"full_name":"Fujita, Koji","first_name":"Koji","last_name":"Fujita"}],"title":"Contrasting patterns of change in snowline altitude across five Himalayan catchments","OA_place":"publisher","OA_type":"gold","file":[{"relation":"main_file","date_created":"2026-02-17T12:35:44Z","file_id":"21303","date_updated":"2026-02-17T12:35:44Z","access_level":"open_access","file_name":"2025_Cryosphere_Sasaki.pdf","file_size":6617241,"content_type":"application/pdf","creator":"dernst","success":1,"checksum":"2bb8ada7536bb69b39448f13098f8cea"}],"article_processing_charge":"No","date_published":"2025-11-01T00:00:00Z","citation":{"ieee":"O. Sasaki, E. S. Miles, F. Pellicciotti, A. Sakai, and K. Fujita, “Contrasting patterns of change in snowline altitude across five Himalayan catchments,” <i>The Cryosphere</i>, vol. 19, no. 11. Copernicus Publications, pp. 5283–5298, 2025.","mla":"Sasaki, Orie, et al. “Contrasting Patterns of Change in Snowline Altitude across Five Himalayan Catchments.” <i>The Cryosphere</i>, vol. 19, no. 11, Copernicus Publications, 2025, pp. 5283–98, doi:<a href=\"https://doi.org/10.5194/tc-19-5283-2025\">10.5194/tc-19-5283-2025</a>.","ama":"Sasaki O, Miles ES, Pellicciotti F, Sakai A, Fujita K. Contrasting patterns of change in snowline altitude across five Himalayan catchments. <i>The Cryosphere</i>. 2025;19(11):5283-5298. doi:<a href=\"https://doi.org/10.5194/tc-19-5283-2025\">10.5194/tc-19-5283-2025</a>","ista":"Sasaki O, Miles ES, Pellicciotti F, Sakai A, Fujita K. 2025. Contrasting patterns of change in snowline altitude across five Himalayan catchments. The Cryosphere. 19(11), 5283–5298.","short":"O. Sasaki, E.S. Miles, F. Pellicciotti, A. Sakai, K. Fujita, The Cryosphere 19 (2025) 5283–5298.","apa":"Sasaki, O., Miles, E. S., Pellicciotti, F., Sakai, A., &#38; Fujita, K. (2025). Contrasting patterns of change in snowline altitude across five Himalayan catchments. <i>The Cryosphere</i>. Copernicus Publications. <a href=\"https://doi.org/10.5194/tc-19-5283-2025\">https://doi.org/10.5194/tc-19-5283-2025</a>","chicago":"Sasaki, Orie, Evan S. Miles, Francesca Pellicciotti, Akiko Sakai, and Koji Fujita. “Contrasting Patterns of Change in Snowline Altitude across Five Himalayan Catchments.” <i>The Cryosphere</i>. Copernicus Publications, 2025. <a href=\"https://doi.org/10.5194/tc-19-5283-2025\">https://doi.org/10.5194/tc-19-5283-2025</a>."},"article_type":"original","file_date_updated":"2026-02-17T12:35:44Z","abstract":[{"text":"Seasonal snowmelt in High Mountain Asia is an important source of river discharge. Therefore, observation of the spatiotemporal variations in snow cover at catchment scales using high-resolution satellites is essential for understanding changes in water supply from headwater catchments. In this study, we adapt an algorithm to automatically detect the snowline altitude (SLA) using the Google Earth Engine platform with available high-resolution multispectral satellite archives that can be readily applied for areas of interest. Here, we applied and evaluated the tool to five glacierized watersheds across the Himalayas to quantify the changes in seasonal and annual snow cover over the past 21 years and analyze climate reanalysis data to assess the meteorological factors influencing the SLA. Our findings revealed substantial variations in the SLA among sites in terms of seasonal patterns, decadal trends, and meteorological controls. We identify positive trends in SLA in Hidden Valley (+11.9 m yr−1), Langtang (+14.4 m yr−1), and Rolwaling (+8.2 m yr−1) in the Nepalese Himalayas but a negative trend in Satopanth (−15.6 m yr−1) in the western Indian Himalayas and no significant trend in Parlung in southeastern Tibet. We suggest that the increase in SLA in Nepal was caused by warmer temperatures during the monsoon season, whereas the decrease in SLA in India was driven by increased winter snowfall and reduced monsoon snowmelt. By integrating the outcomes of these analyses, we found that long-term changes in SLA are primarily driven by shifts in the local climate, whereas seasonal variability may be influenced by geographic features in conjunction with climate.","lang":"eng"}],"_id":"21247","type":"journal_article","publication_status":"published","publisher":"Copernicus Publications","doi":"10.5194/tc-19-5283-2025","oa":1,"quality_controlled":"1"},{"scopus_import":"1","publication":"Science","oa_version":"None","language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1095-9203"]},"day":"17","year":"2025","date_updated":"2025-09-30T10:24:34Z","volume":387,"page":"278-284","month":"01","acknowledgement":"This study received support from the Extremes Research Program funded by the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) within the EMERGE project of the Extremes program.","status":"public","publication_status":"published","type":"journal_article","publisher":"AAAS","doi":"10.1126/science.ado4245","quality_controlled":"1","article_processing_charge":"No","date_published":"2025-01-17T00:00:00Z","citation":{"ieee":"L. Chen <i>et al.</i>, “Global increase in the occurrence and impact of multiyear droughts,” <i>Science</i>, vol. 387, no. 6731. AAAS, pp. 278–284, 2025.","mla":"Chen, Liangzhi, et al. “Global Increase in the Occurrence and Impact of Multiyear Droughts.” <i>Science</i>, vol. 387, no. 6731, AAAS, 2025, pp. 278–84, doi:<a href=\"https://doi.org/10.1126/science.ado4245\">10.1126/science.ado4245</a>.","ama":"Chen L, Brun P, Buri P, et al. Global increase in the occurrence and impact of multiyear droughts. <i>Science</i>. 2025;387(6731):278-284. doi:<a href=\"https://doi.org/10.1126/science.ado4245\">10.1126/science.ado4245</a>","ista":"Chen L, Brun P, Buri P, Fatichi S, Gessler A, McCarthy M, Pellicciotti F, Stocker B, Karger DN. 2025. Global increase in the occurrence and impact of multiyear droughts. Science. 387(6731), 278–284.","short":"L. Chen, P. Brun, P. Buri, S. Fatichi, A. Gessler, M. McCarthy, F. Pellicciotti, B. Stocker, D.N. Karger, Science 387 (2025) 278–284.","chicago":"Chen, Liangzhi, Philipp Brun, Pascal Buri, Simone Fatichi, Arthur Gessler, Michael McCarthy, Francesca Pellicciotti, Benjamin Stocker, and Dirk Nikolaus Karger. “Global Increase in the Occurrence and Impact of Multiyear Droughts.” <i>Science</i>. AAAS, 2025. <a href=\"https://doi.org/10.1126/science.ado4245\">https://doi.org/10.1126/science.ado4245</a>.","apa":"Chen, L., Brun, P., Buri, P., Fatichi, S., Gessler, A., McCarthy, M., … Karger, D. N. (2025). Global increase in the occurrence and impact of multiyear droughts. <i>Science</i>. AAAS. <a href=\"https://doi.org/10.1126/science.ado4245\">https://doi.org/10.1126/science.ado4245</a>"},"article_type":"original","pmid":1,"abstract":[{"lang":"eng","text":"Persistent multiyear drought (MYD) events pose a growing threat to nature and humans in a changing climate. We identified and inventoried global MYDs by detecting spatiotemporally contiguous climatic anomalies, showing that MYDs have become drier, hotter, and led to increasingly diminished vegetation greenness. The global terrestrial land affected by MYDs has increased at a rate of 49,279 ± 14,771 square kilometers per year from 1980 to 2018. Temperate grasslands have exhibited the greatest declines in vegetation greenness during MYDs, whereas boreal and tropical forests have had comparably minor responses. With MYDs becoming more common, this global quantitative inventory of the occurrence, severity, trend, and impact of MYDs provides an important benchmark for facilitating more effective and collaborative preparedness toward mitigation of and adaptation to such extreme events."}],"_id":"18985","date_created":"2025-02-02T23:01:54Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","issue":"6731","author":[{"full_name":"Chen, Liangzhi","last_name":"Chen","first_name":"Liangzhi"},{"full_name":"Brun, Philipp","last_name":"Brun","first_name":"Philipp"},{"id":"317987aa-9421-11ee-ac5a-b941b041abba","full_name":"Buri, Pascal","last_name":"Buri","first_name":"Pascal"},{"full_name":"Fatichi, Simone","last_name":"Fatichi","first_name":"Simone"},{"first_name":"Arthur","last_name":"Gessler","full_name":"Gessler, Arthur"},{"full_name":"Mccarthy, Michael","id":"22a2674a-61ce-11ee-94b5-d18813baf16f","last_name":"Mccarthy","first_name":"Michael"},{"first_name":"Francesca","last_name":"Pellicciotti","orcid":"0000-0002-5554-8087","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","full_name":"Pellicciotti, Francesca"},{"last_name":"Stocker","first_name":"Benjamin","full_name":"Stocker, Benjamin"},{"full_name":"Karger, Dirk Nikolaus","first_name":"Dirk Nikolaus","last_name":"Karger"}],"OA_type":"closed access","title":"Global increase in the occurrence and impact of multiyear droughts","isi":1,"intvolume":"       387","external_id":{"pmid":["39818908"],"isi":["001491931700027"]},"department":[{"_id":"FrPe"}]},{"month":"02","PlanS_conform":"1","status":"public","acknowledgement":"This research was supported by the University of Queensland's PhD scholarship program, the Australian Research Council under the Future Fellowship program (Project ID:FT140100977), and the Sustainable Minerals Institute International Centre of Excellence (Chile). Fiona Johnson is supported by a UNSW Scientia Funding and ARC Training Centre in Data Analytics for Resources and Environments(Grant IC190100031). The authors also thank Liliana Pagliero, Maxi Viale and Rodrigo Correa for their support with obtaining the DGA, SNIH, and Codelco data sets, and the PlanetLabs research and education initiative for free imagery. Open access publishing facilitated by The University of Queensland, as part of the Wiley ‐ The University of Queensland agreement via the Council of Australian University Librarians.","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"volume":61,"date_updated":"2025-09-30T10:48:43Z","year":"2025","DOAJ_listed":"1","day":"01","publication_identifier":{"eissn":["1944-7973"],"issn":["0043-1397"]},"language":[{"iso":"eng"}],"scopus_import":"1","oa_version":"Published Version","publication":"Water Resources Research","has_accepted_license":"1","department":[{"_id":"FrPe"}],"external_id":{"isi":["001419509100001"]},"intvolume":"        61","article_number":"e2024WR037766","ddc":["550"],"title":"Evaluating the performance of sentinel-1 SAR derived snow depth retrievals over the extratropical Andes cordillera","OA_place":"publisher","OA_type":"gold","file":[{"file_name":"2025_WaterResourcesResearch_Bulovic.pdf","success":1,"checksum":"8ff09dcae2e508fd72aee80300fc40e2","creator":"dernst","content_type":"application/pdf","file_size":6362563,"file_id":"19377","relation":"main_file","date_created":"2025-03-10T08:16:05Z","access_level":"open_access","date_updated":"2025-03-10T08:16:05Z"}],"isi":1,"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_created":"2025-03-09T23:01:27Z","author":[{"full_name":"Bulovic, N.","first_name":"N.","last_name":"Bulovic"},{"full_name":"Johnson, F.","last_name":"Johnson","first_name":"F."},{"first_name":"H.","last_name":"Lievens","full_name":"Lievens, H."},{"full_name":"Shaw, Thomas","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e","orcid":"0000-0001-7640-6152","last_name":"Shaw","first_name":"Thomas"},{"full_name":"Mcphee, J.","last_name":"Mcphee","first_name":"J."},{"last_name":"Gascoin","first_name":"S.","full_name":"Gascoin, S."},{"first_name":"M.","last_name":"Demuzere","full_name":"Demuzere, M."},{"last_name":"Mcintyre","first_name":"N.","full_name":"Mcintyre, N."}],"issue":"2","_id":"19369","abstract":[{"text":"Monitoring and estimating mountain snowpack mass over regional scales is still a challenge because of the inadequacy of observational networks in capturing spatiotemporal variability, and limitations in remotely sensed retrievals. Recent work using C-band synthetic aperture radar (SAR) backscatter data from the Sentinel-1 satellite mission has shown good promise for tracking mountain snow depth over specific northern hemisphere ranges, although the broader potential is still unknown. Here, we extend the new Sentinel-1 based modeling framework beyond the northern hemisphere by only utilizing globally available input data, and evaluate different model parametrization and model performance over the Chilean and Argentine Andes mountains, which contain the largest mountain snowpack in the southern hemisphere. The accuracy of Sentinel-1 snow depth estimates is evaluated against an extensive in situ network available for the region. Satellite-retrieved snow depth is found to have poorer performance across the Andes than observed for northern hemisphere mountain ranges because of greater sensitivity to evergreen forest cover and shallower snowpacks. The algorithm does offer some skill but performance is variable and site-dependent. Algorithm performance is best over regions with limited evergreen forest cover (<15%) and snow depths greater than 0.75 m, although the retrievals over-estimate snow depth across most sites. Systemic errors for specific snow classes and across different snow depths are shown, highlighting specific areas in need of further investigation and development.","lang":"eng"}],"file_date_updated":"2025-03-10T08:16:05Z","citation":{"ama":"Bulovic N, Johnson F, Lievens H, et al. Evaluating the performance of sentinel-1 SAR derived snow depth retrievals over the extratropical Andes cordillera. <i>Water Resources Research</i>. 2025;61(2). doi:<a href=\"https://doi.org/10.1029/2024WR037766\">10.1029/2024WR037766</a>","mla":"Bulovic, N., et al. “Evaluating the Performance of Sentinel-1 SAR Derived Snow Depth Retrievals over the Extratropical Andes Cordillera.” <i>Water Resources Research</i>, vol. 61, no. 2, e2024WR037766, Wiley, 2025, doi:<a href=\"https://doi.org/10.1029/2024WR037766\">10.1029/2024WR037766</a>.","ieee":"N. Bulovic <i>et al.</i>, “Evaluating the performance of sentinel-1 SAR derived snow depth retrievals over the extratropical Andes cordillera,” <i>Water Resources Research</i>, vol. 61, no. 2. Wiley, 2025.","chicago":"Bulovic, N., F. Johnson, H. Lievens, Thomas Shaw, J. Mcphee, S. Gascoin, M. Demuzere, and N. Mcintyre. “Evaluating the Performance of Sentinel-1 SAR Derived Snow Depth Retrievals over the Extratropical Andes Cordillera.” <i>Water Resources Research</i>. Wiley, 2025. <a href=\"https://doi.org/10.1029/2024WR037766\">https://doi.org/10.1029/2024WR037766</a>.","apa":"Bulovic, N., Johnson, F., Lievens, H., Shaw, T., Mcphee, J., Gascoin, S., … Mcintyre, N. (2025). Evaluating the performance of sentinel-1 SAR derived snow depth retrievals over the extratropical Andes cordillera. <i>Water Resources Research</i>. Wiley. <a href=\"https://doi.org/10.1029/2024WR037766\">https://doi.org/10.1029/2024WR037766</a>","short":"N. Bulovic, F. Johnson, H. Lievens, T. Shaw, J. Mcphee, S. Gascoin, M. Demuzere, N. Mcintyre, Water Resources Research 61 (2025).","ista":"Bulovic N, Johnson F, Lievens H, Shaw T, Mcphee J, Gascoin S, Demuzere M, Mcintyre N. 2025. Evaluating the performance of sentinel-1 SAR derived snow depth retrievals over the extratropical Andes cordillera. Water Resources Research. 61(2), e2024WR037766."},"article_type":"original","date_published":"2025-02-01T00:00:00Z","article_processing_charge":"Yes (via OA deal)","oa":1,"doi":"10.1029/2024WR037766","publisher":"Wiley","quality_controlled":"1","type":"journal_article","publication_status":"published"},{"publisher":"IOP Publishing","oa":1,"doi":"10.1088/1748-9326/adcf39","quality_controlled":"1","type":"journal_article","publication_status":"published","file_date_updated":"2025-06-03T08:10:45Z","abstract":[{"text":"Snow cover is of key importance for water resources in high mountain Asia (HMA) and is expected to undergo extensive changes in a warming climate. Past studies have quantified snow cover changes with satellite products of relatively low spatial resolution (∼500 m) which are hindered by the steep topography of this mountain region. We derive snowlines from Sentinel-2 and Landsat 5, 7 and 8 images, which, thanks to their higher spatial resolution, are less sensitive to the local topography. We calculate the snow line altitude (SLA) and its seasonality for all glacierized catchments of HMA and link these patterns to climate variables corrected for topographic biases. As such, the snowline changes provide a clear proxy for climatic changes. Our results highlight a strong spatial variability in mean SLA and in its seasonal changes, including across mountain chains and between the monsoon-dominated and the westerlies-dominated catchments. Over the period 1999–2019, the western regions of HMA (Pamir, Karakoram, Western Himalaya) have undergone increased snow coverage, expressed as seasonal SLA decrease, in spring and summer. This change is opposed to a widespread increase in SLA in autumn across the region, and especially the southeastern regions of HMA (Nyainqentanglha, Hengduan Shan, South–East Himalaya). Our results indicate that the diversity of seasonal snow dynamics across the region is controlled not by temperature or precipitation directly but by the timing and partitioning of solid precipitation. Decadal snowline changes (1999–2009 vs 2009–2019) seasonally precede temperature changes, suggesting that seasonal temperature changes in the Karakoram–Pamir and Eastern Nyainqentanglha regions may have responded to snow cover changes, rather than driving them.","lang":"eng"}],"_id":"19777","article_processing_charge":"Yes","date_published":"2025-06-01T00:00:00Z","article_type":"original","citation":{"ama":"Bernat M, Miles ES, Kneib M, et al. Precipitation phase drives seasonal and decadal snowline changes in high mountain Asia. <i>Environmental Research Letters</i>. 2025;20(6). doi:<a href=\"https://doi.org/10.1088/1748-9326/adcf39\">10.1088/1748-9326/adcf39</a>","mla":"Bernat, M., et al. “Precipitation Phase Drives Seasonal and Decadal Snowline Changes in High Mountain Asia.” <i>Environmental Research Letters</i>, vol. 20, no. 6, 064039, IOP Publishing, 2025, doi:<a href=\"https://doi.org/10.1088/1748-9326/adcf39\">10.1088/1748-9326/adcf39</a>.","ieee":"M. Bernat <i>et al.</i>, “Precipitation phase drives seasonal and decadal snowline changes in high mountain Asia,” <i>Environmental Research Letters</i>, vol. 20, no. 6. IOP Publishing, 2025.","apa":"Bernat, M., Miles, E. S., Kneib, M., Fujita, K., Sasaki, O., Shaw, T., &#38; Pellicciotti, F. (2025). Precipitation phase drives seasonal and decadal snowline changes in high mountain Asia. <i>Environmental Research Letters</i>. IOP Publishing. <a href=\"https://doi.org/10.1088/1748-9326/adcf39\">https://doi.org/10.1088/1748-9326/adcf39</a>","chicago":"Bernat, M., E. S. Miles, M. Kneib, K. Fujita, O. Sasaki, Thomas Shaw, and Francesca Pellicciotti. “Precipitation Phase Drives Seasonal and Decadal Snowline Changes in High Mountain Asia.” <i>Environmental Research Letters</i>. IOP Publishing, 2025. <a href=\"https://doi.org/10.1088/1748-9326/adcf39\">https://doi.org/10.1088/1748-9326/adcf39</a>.","short":"M. Bernat, E.S. Miles, M. Kneib, K. Fujita, O. Sasaki, T. Shaw, F. Pellicciotti, Environmental Research Letters 20 (2025).","ista":"Bernat M, Miles ES, Kneib M, Fujita K, Sasaki O, Shaw T, Pellicciotti F. 2025. Precipitation phase drives seasonal and decadal snowline changes in high mountain Asia. Environmental Research Letters. 20(6), 064039."},"OA_place":"publisher","OA_type":"gold","title":"Precipitation phase drives seasonal and decadal snowline changes in high mountain Asia","isi":1,"file":[{"date_created":"2025-06-03T08:10:45Z","relation":"main_file","file_id":"19781","date_updated":"2025-06-03T08:10:45Z","access_level":"open_access","file_name":"2025_EnvironmResearchLetters_Bernat.pdf","content_type":"application/pdf","file_size":3604497,"creator":"dernst","checksum":"84a8d895762f0ab4b30b34e7387b33c7","success":1}],"related_material":{"record":[{"id":"19780","status":"public","relation":"research_data"}]},"date_created":"2025-06-03T07:30:21Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","issue":"6","author":[{"last_name":"Bernat","first_name":"M.","full_name":"Bernat, M."},{"last_name":"Miles","first_name":"E. S.","full_name":"Miles, E. S."},{"full_name":"Kneib, M.","last_name":"Kneib","first_name":"M."},{"last_name":"Fujita","first_name":"K.","full_name":"Fujita, K."},{"full_name":"Sasaki, O.","first_name":"O.","last_name":"Sasaki"},{"full_name":"Shaw, Thomas","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e","orcid":"0000-0001-7640-6152","last_name":"Shaw","first_name":"Thomas"},{"orcid":"0000-0002-5554-8087","first_name":"Francesca","last_name":"Pellicciotti","full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70"}],"has_accepted_license":"1","department":[{"_id":"FrPe"}],"external_id":{"isi":["001493525600001"]},"intvolume":"        20","ddc":["550"],"article_number":"064039","language":[{"iso":"eng"}],"scopus_import":"1","publication":"Environmental Research Letters","oa_version":"Published Version","year":"2025","publication_identifier":{"eissn":["1748-9326"]},"day":"01","DOAJ_listed":"1","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"volume":20,"date_updated":"2025-09-30T12:43:11Z","month":"06","acknowledgement":"This work was supported by the SNSF (Science and Swiss National Science Foundation)-SSSTC (Sino-Swiss Science and Technology Cooperation) Project (IZLCZ0_189890) 'Understanding snow, glacier and rivers response to climate in High Mountain Asia (ASCENT)', by the JSPS (Japan Society for the Promotion)-SNSF Bilateral Programmes project (HOPE, High-elevation precipitation in High Mountain Asia; Grant 183633), and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (RAVEN, Rapid mass losses of debris-covered glaciers in High Mountain Asia; Grant 772751). Marin Kneib acknowledges funding from the SNSF Postdoc.Mobility program (Grant No. P500PN_210739).","status":"public"},{"oa":1,"doi":"10.5281/ZENODO.15223343","publisher":"Zenodo","type":"research_data_reference","oa_version":"Published Version","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/ZENODO.15223343"}],"_id":"19780","year":"2025","abstract":[{"text":"This repository contains the data used for the study Precipitation phase drives seasonal and decadal snowline changes in high mountain Asia.\r\n\r\nThis study focuses on 4776 glacierized catchments across high mountain Asia (HMA). They are numbered from 0 to 4775. This code number is then used in all the products as their unique ID. ","lang":"eng"}],"citation":{"short":"M. Bernat, (2025).","ista":"Bernat M. 2025. Snow line altitude in high mountain Asia derived from satellite imagery (LS5, LS7, LS8 &#38; S2) between 1999 and 2019, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.15223343\">10.5281/ZENODO.15223343</a>.","chicago":"Bernat, M. “Snow Line Altitude in High Mountain Asia Derived from Satellite Imagery (LS5, LS7, LS8 &#38; S2) between 1999 and 2019.” Zenodo, 2025. <a href=\"https://doi.org/10.5281/ZENODO.15223343\">https://doi.org/10.5281/ZENODO.15223343</a>.","apa":"Bernat, M. (2025). Snow line altitude in high mountain Asia derived from satellite imagery (LS5, LS7, LS8 &#38; S2) between 1999 and 2019. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.15223343\">https://doi.org/10.5281/ZENODO.15223343</a>","ieee":"M. Bernat, “Snow line altitude in high mountain Asia derived from satellite imagery (LS5, LS7, LS8 &#38; S2) between 1999 and 2019.” Zenodo, 2025.","ama":"Bernat M. Snow line altitude in high mountain Asia derived from satellite imagery (LS5, LS7, LS8 &#38; S2) between 1999 and 2019. 2025. doi:<a href=\"https://doi.org/10.5281/ZENODO.15223343\">10.5281/ZENODO.15223343</a>","mla":"Bernat, M. <i>Snow Line Altitude in High Mountain Asia Derived from Satellite Imagery (LS5, LS7, LS8 &#38; S2) between 1999 and 2019</i>. Zenodo, 2025, doi:<a href=\"https://doi.org/10.5281/ZENODO.15223343\">10.5281/ZENODO.15223343</a>."},"day":"15","article_processing_charge":"No","date_published":"2025-04-15T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"OA_place":"repository","OA_type":"green","title":"Snow line altitude in high mountain Asia derived from satellite imagery (LS5, LS7, LS8 & S2) between 1999 and 2019","related_material":{"record":[{"relation":"used_in_publication","id":"19777","status":"public"}]},"date_updated":"2025-09-30T12:43:10Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2025-06-03T08:05:29Z","author":[{"full_name":"Bernat, M","first_name":"M","last_name":"Bernat"}],"has_accepted_license":"1","contributor":[{"last_name":"Miles","first_name":"Evan Stuart","contributor_type":"project_member"},{"contributor_type":"project_member","last_name":"Kneib","first_name":"Marin"},{"contributor_type":"project_member","first_name":"Koji","last_name":"Fujita"},{"first_name":"Orie","last_name":"Sasaki","contributor_type":"project_member"},{"last_name":"Shaw","first_name":"Thomas","contributor_type":"project_member","orcid":"0000-0001-7640-6152","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e"},{"first_name":"Francesca","last_name":"Pellicciotti","contributor_type":"project_member","orcid":"0000-0002-5554-8087","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70"}],"month":"04","status":"public","department":[{"_id":"FrPe"}],"acknowledgement":"This work was supported by the SNSF (Science and Swiss National Science Foundation)-SSSTC (Sino-Swiss Science and Technology Cooperation) Project (IZLCZ0_189890) 'Understanding snow, glacier and rivers response to climate in High Mountain Asia (ASCENT)', by the JSPS (Japan Society for the Promotion)-SNSF Bilateral Programmes project (HOPE, High-elevation precipitation in High Mountain Asia; Grant 183633), and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (RAVEN, Rapid mass losses of debris-covered glaciers in High Mountain Asia; Grant 772751). Marin Kneib acknowledges funding from the SNSF Postdoc.Mobility program (Grant No. P500PN_210739).","ddc":["550"]},{"volume":6,"date_updated":"2025-09-30T12:48:43Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","acknowledgement":"This work was conducted under the PeruGROWS and PEGASUS projects, which were both funded by NERC (grants NE/S013296/1 and NE/S013318/1, respectively) and CONCYTEC through the Newton-Paulet Fund. The Peruvian part of the Peru GROWS project was conducted within the framework of the call E031-2018-01-NERC Glacier Research Circles through its executing unit FONDECYT (Contract N°08-2019-FONDECYT). Francesca Pellicciotti acknowledges support from the SNSF-funded PASTURE project, grant no. 202604. Catriona Fyffe was supported by the Marie Skłodowska-Curie Action project EPIC, which was funded by the European Union (grant number 101105480). We thank Florian von Ah for calculating the altitudinally resolved glacier mass balances for the catchment. We also thank Duncan Quincey for his support and guidance within both the PeruGROWS and PEGASUS projects. Gerardo Jacome and Alan Llacza are thanked for their contribution to the climate modelling. We thank Ignacio López-Moreno and Simon Gascoin for their thoughtful and constructive comments, which greatly improved the manuscript. The team dedicates this work to the memory of Ing. Alejo Cochachin Rapre, and his tireless work to monitor the region’s glaciers.","month":"06","oa_version":"Published Version","publication":"Communications Earth and Environment","scopus_import":"1","language":[{"iso":"eng"}],"corr_author":"1","day":"05","publication_identifier":{"eissn":["2662-4435"]},"year":"2025","author":[{"last_name":"Fyffe","first_name":"Catriona Louise","full_name":"Fyffe, Catriona Louise","id":"001b0422-8d15-11ed-bc51-cab6c037a228"},{"full_name":"Potter, Emily","first_name":"Emily","last_name":"Potter"},{"full_name":"Miles, Evan","first_name":"Evan","last_name":"Miles"},{"orcid":"0000-0001-7640-6152","first_name":"Thomas","last_name":"Shaw","full_name":"Shaw, Thomas","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e"},{"id":"22a2674a-61ce-11ee-94b5-d18813baf16f","full_name":"Mccarthy, Michael","last_name":"Mccarthy","first_name":"Michael"},{"first_name":"Andrew","last_name":"Orr","full_name":"Orr, Andrew"},{"last_name":"Loarte","first_name":"Edwin","full_name":"Loarte, Edwin"},{"full_name":"Medina, Katy","last_name":"Medina","first_name":"Katy"},{"full_name":"Fatichi, Simone","last_name":"Fatichi","first_name":"Simone"},{"first_name":"Rob","last_name":"Hellström","full_name":"Hellström, Rob"},{"first_name":"Michel","last_name":"Baraer","full_name":"Baraer, Michel"},{"first_name":"Emilio","last_name":"Mateo","full_name":"Mateo, Emilio"},{"full_name":"Cochachin, Alejo","first_name":"Alejo","last_name":"Cochachin"},{"full_name":"Westoby, Matthew","first_name":"Matthew","last_name":"Westoby"},{"full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","orcid":"0000-0002-5554-8087","last_name":"Pellicciotti","first_name":"Francesca"}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_created":"2025-06-15T22:01:28Z","project":[{"name":"ExPloring the ecohydrological Impacts of a changing Cryosphere in the Peruvian Andes","grant_number":"101105480","_id":"bdbe6627-d553-11ed-ba76-b5c9eedf278f"}],"file":[{"date_created":"2025-06-23T06:41:15Z","relation":"main_file","file_id":"19862","access_level":"open_access","date_updated":"2025-06-23T06:41:15Z","file_name":"2025_CommEarthEnvir_Fyffe.pdf","checksum":"5d5317640abe280c4f4edfca732cf4e0","success":1,"file_size":3172494,"creator":"dernst","content_type":"application/pdf"}],"isi":1,"OA_type":"gold","OA_place":"publisher","title":"Thin and ephemeral snow shapes melt and runoff dynamics in the Peruvian Andes","article_number":"434","ddc":["550"],"external_id":{"isi":["001503932400002"],"pmid":["40486185"]},"intvolume":"         6","department":[{"_id":"FrPe"}],"has_accepted_license":"1","publication_status":"published","type":"journal_article","quality_controlled":"1","doi":"10.1038/s43247-025-02379-x","publisher":"Springer Nature","oa":1,"pmid":1,"article_type":"original","citation":{"mla":"Fyffe, Catriona Louise, et al. “Thin and Ephemeral Snow Shapes Melt and Runoff Dynamics in the Peruvian Andes.” <i>Communications Earth and Environment</i>, vol. 6, 434, Springer Nature, 2025, doi:<a href=\"https://doi.org/10.1038/s43247-025-02379-x\">10.1038/s43247-025-02379-x</a>.","ama":"Fyffe CL, Potter E, Miles E, et al. Thin and ephemeral snow shapes melt and runoff dynamics in the Peruvian Andes. <i>Communications Earth and Environment</i>. 2025;6. doi:<a href=\"https://doi.org/10.1038/s43247-025-02379-x\">10.1038/s43247-025-02379-x</a>","ieee":"C. L. Fyffe <i>et al.</i>, “Thin and ephemeral snow shapes melt and runoff dynamics in the Peruvian Andes,” <i>Communications Earth and Environment</i>, vol. 6. Springer Nature, 2025.","chicago":"Fyffe, Catriona Louise, Emily Potter, Evan Miles, Thomas Shaw, Michael McCarthy, Andrew Orr, Edwin Loarte, et al. “Thin and Ephemeral Snow Shapes Melt and Runoff Dynamics in the Peruvian Andes.” <i>Communications Earth and Environment</i>. Springer Nature, 2025. <a href=\"https://doi.org/10.1038/s43247-025-02379-x\">https://doi.org/10.1038/s43247-025-02379-x</a>.","apa":"Fyffe, C. L., Potter, E., Miles, E., Shaw, T., McCarthy, M., Orr, A., … Pellicciotti, F. (2025). Thin and ephemeral snow shapes melt and runoff dynamics in the Peruvian Andes. <i>Communications Earth and Environment</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s43247-025-02379-x\">https://doi.org/10.1038/s43247-025-02379-x</a>","ista":"Fyffe CL, Potter E, Miles E, Shaw T, McCarthy M, Orr A, Loarte E, Medina K, Fatichi S, Hellström R, Baraer M, Mateo E, Cochachin A, Westoby M, Pellicciotti F. 2025. Thin and ephemeral snow shapes melt and runoff dynamics in the Peruvian Andes. Communications Earth and Environment. 6, 434.","short":"C.L. Fyffe, E. Potter, E. Miles, T. Shaw, M. McCarthy, A. Orr, E. Loarte, K. Medina, S. Fatichi, R. Hellström, M. Baraer, E. Mateo, A. Cochachin, M. Westoby, F. Pellicciotti, Communications Earth and Environment 6 (2025)."},"date_published":"2025-06-05T00:00:00Z","article_processing_charge":"Yes","_id":"19839","abstract":[{"lang":"eng","text":"The snow and glaciers of the Peruvian Andes provide vital water supplies in a region facing water scarcity and substantial glacier change. However, there remains a lack of understanding of snow processes and quantification of the contribution of melt to runoff. Here we apply a distributed glacio-hydrological model over the Rio Santa basin to disentangle the role of the cryosphere in the Andean water cycle. Only at the highest elevations (>5000 m a.s.l.) is the snow cover continuous; at lower elevations, the snowpack is thin and ephemeral, with rapid cycles of snowfall and melt. Due to the large catchment area affected by ephemeral snow, its contribution to catchment inputs is substantial (23% and 38% in the wet and dry season, respectively). Ice melt is crucial in the mid-dry season (up to 44% of inputs). Our results improve estimates of water fluxes and call for further process-based modelling across the Andes."}],"file_date_updated":"2025-06-23T06:41:15Z"},{"abstract":[{"text":"Rock debris partially covers glaciers worldwide, with varying extents and distributions, and controls sub‐debris melt rates by modifying energy transfer from the atmosphere to the ice. Two key physical properties controlling this energy exchange are thermal conductivity (k) and aerodynamic roughness length (z0). Accurate representation of these properties in energy‐balance models is critical for understanding climate‐glacier interactions and predicting the behavior of debris‐covered glaciers. However, k and z0 have been derived at very few sites from limited local measurements, using different approaches, and most model applications rely on values reported from these few sites and studies. We derive k and z0 using established and modified approaches from data at three locations on Pirámide Glacier in the central Chilean Andes. By comparing methods and evaluating melt simulated with an energy‐balance model, we reveal substantial differences between approaches. These lead to discrepancies between ice melt from energy‐balance simulations and observed data, and highlight the impact of method choice on calculated ice melt. Optimizing k against measured melt appears a viable approach to constrain melt simulations. Determining z0 seems less critical, as it has a smaller impact on total melt. Profile aerodynamic method measurements for estimating z0, despite higher costs, are independent of ice melt calculations. The large, unexpected differences between methods indicate a substantial knowledge gap. The fact that field‐derived k and z0 fail to work well in energy‐balance models, suggests that model values represent bulk properties distinct from theoretical field measurements. Addressing this gap is essential for improving glacier melt predictions.","lang":"eng"}],"file_date_updated":"2025-06-24T06:27:34Z","_id":"19878","date_published":"2025-06-15T00:00:00Z","article_processing_charge":"Yes (via OA deal)","citation":{"ieee":"J. V. Melo Velasco <i>et al.</i>, “Method dependence in thermal conductivity and aerodynamic roughness length estimates on a debris‐covered glacier,” <i>Journal of Geophysical Research: Earth Surface</i>, vol. 130, no. 6. Wiley, 2025.","mla":"Melo Velasco, Juan Vicente, et al. “Method Dependence in Thermal Conductivity and Aerodynamic Roughness Length Estimates on a Debris‐covered Glacier.” <i>Journal of Geophysical Research: Earth Surface</i>, vol. 130, no. 6, e2025JF008360, Wiley, 2025, doi:<a href=\"https://doi.org/10.1029/2025jf008360\">10.1029/2025jf008360</a>.","ama":"Melo Velasco JV, Miles E, McCarthy M, et al. Method dependence in thermal conductivity and aerodynamic roughness length estimates on a debris‐covered glacier. <i>Journal of Geophysical Research: Earth Surface</i>. 2025;130(6). doi:<a href=\"https://doi.org/10.1029/2025jf008360\">10.1029/2025jf008360</a>","ista":"Melo Velasco JV, Miles E, McCarthy M, Shaw T, Fyffe CL, Fontrodona-Bach A, Pellicciotti F. 2025. Method dependence in thermal conductivity and aerodynamic roughness length estimates on a debris‐covered glacier. Journal of Geophysical Research: Earth Surface. 130(6), e2025JF008360.","short":"J.V. Melo Velasco, E. Miles, M. McCarthy, T. Shaw, C.L. Fyffe, A. Fontrodona-Bach, F. Pellicciotti, Journal of Geophysical Research: Earth Surface 130 (2025).","apa":"Melo Velasco, J. V., Miles, E., McCarthy, M., Shaw, T., Fyffe, C. L., Fontrodona-Bach, A., &#38; Pellicciotti, F. (2025). Method dependence in thermal conductivity and aerodynamic roughness length estimates on a debris‐covered glacier. <i>Journal of Geophysical Research: Earth Surface</i>. Wiley. <a href=\"https://doi.org/10.1029/2025jf008360\">https://doi.org/10.1029/2025jf008360</a>","chicago":"Melo Velasco, Juan Vicente, Evan Miles, Michael McCarthy, Thomas Shaw, Catriona Louise Fyffe, Adrià Fontrodona-Bach, and Francesca Pellicciotti. “Method Dependence in Thermal Conductivity and Aerodynamic Roughness Length Estimates on a Debris‐covered Glacier.” <i>Journal of Geophysical Research: Earth Surface</i>. Wiley, 2025. <a href=\"https://doi.org/10.1029/2025jf008360\">https://doi.org/10.1029/2025jf008360</a>."},"article_type":"original","quality_controlled":"1","publisher":"Wiley","oa":1,"doi":"10.1029/2025jf008360","type":"journal_article","publication_status":"published","department":[{"_id":"FrPe"}],"has_accepted_license":"1","ddc":["550"],"article_number":"e2025JF008360","intvolume":"       130","external_id":{"isi":["001508794200001"]},"isi":1,"file":[{"content_type":"application/pdf","creator":"dernst","file_size":3949928,"checksum":"ca91541516c71d240321630ca42b4dc4","success":1,"file_name":"2025_JGREarthSurface_MeloVelasco.pdf","date_updated":"2025-06-24T06:27:34Z","access_level":"open_access","file_id":"19886","date_created":"2025-06-24T06:27:34Z","relation":"main_file"}],"OA_type":"hybrid","title":"Method dependence in thermal conductivity and aerodynamic roughness length estimates on a debris‐covered glacier","OA_place":"publisher","issue":"6","author":[{"first_name":"Juan Vicente","last_name":"Melo Velasco","full_name":"Melo Velasco, Juan Vicente","id":"2611dec0-b9c6-11ed-9bea-a81c2b17a549"},{"last_name":"Miles","first_name":"Evan","full_name":"Miles, Evan"},{"last_name":"McCarthy","first_name":"Michael","id":"22a2674a-61ce-11ee-94b5-d18813baf16f","full_name":"McCarthy, Michael"},{"full_name":"Shaw, Thomas","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e","orcid":"0000-0001-7640-6152","first_name":"Thomas","last_name":"Shaw"},{"last_name":"Fyffe","first_name":"Catriona Louise","id":"001b0422-8d15-11ed-bc51-cab6c037a228","full_name":"Fyffe, Catriona Louise"},{"full_name":"Fontrodona-Bach, Adrià","id":"f06891fd-9f42-11ee-8632-a20971c43046","last_name":"Fontrodona-Bach","first_name":"Adrià"},{"first_name":"Francesca","last_name":"Pellicciotti","orcid":"0000-0002-5554-8087","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","full_name":"Pellicciotti, Francesca"}],"date_created":"2025-06-23T13:54:01Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","year":"2025","publication_identifier":{"eissn":["2169-9011"],"issn":["2169-9003"]},"day":"15","corr_author":"1","language":[{"iso":"eng"}],"oa_version":"Published Version","publication":"Journal of Geophysical Research: Earth Surface","scopus_import":"1","acknowledgement":"This project received funding from the Swiss National Science Foundation (Grant 204322, project “REsolving the thickNess Of debris on Earth's glacIers and its Rate of change,” RENOIR). We thank Lars Groeneveld, Diego Hernández, Alonso Mejías, Gabriela Reyes and Gabriela Tala for their support during fieldwork. Open access funding provided by Institute of Science and Technology Austria/KEMÖ.","status":"public","month":"06","volume":130,"date_updated":"2025-09-30T13:42:28Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"}},{"day":"02","DOAJ_listed":"1","publication_identifier":{"eissn":["2662-4435"]},"year":"2025","oa_version":"Published Version","publication":"Communications Earth and Environment","scopus_import":"1","language":[{"iso":"eng"}],"corr_author":"1","status":"public","PlanS_conform":"1","acknowledgement":"This work was made possible with funding from the Swiss National Science Foundation (ASCENT Project 189890, Understanding snow, glacier and rivers response to climate in High Mountain Asia). It was also supported by the ERC Consolidator RAVEN project No. 772751, Rapid mass losses of debris-covered glaciers in High Mountain Asia. Fieldwork funding support for the repeated visits to Tajikistan was also received from the Swiss Polar Institute Flagship Programme PAMIR (SPI-FLAG-2021-001) and the Swiss National Science Foundation (HOPE Project 183633, High-elevation precipitation in High Mountain Asia). We would like to thank Firdavs Vosidov, Ubaydullo Ubaydulloev, Tojiddin Rasulzoda and Iskandarov Handullo from the Center for the Research of Glaciers, Tajik National Academy of Sciences (CRG-TAS), for their invaluable support over multiple field campaigns at the study site. We thank Nazrialo Sheralizoda, current director of CRG-TAS, and Tomas Saks from the University of Fribourg for their support in enabling and coordinating the ongoing collaborative monitoring and measurements at the site. Marin Kneib acknowledges the funding from the Swiss National Science Foundation (SNSF) under the Contribution of avalanches to glacier mass balance (CAIRN) Postdoc Mobility program (grant agreement P500PN_210739). We extend our thanks to Hamish Pritchard and Federico Covi at BAS for their help with the processing of lake water pressure data. Finally, we thank the photographer Jason Klimatsas for the photos he took which we use in Fig. 1b and Supplementary Fig. S1. Pleiades stereo imagery was acquired through the CNES ISIS programme.","month":"09","date_updated":"2026-04-28T13:25:55Z","volume":6,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"pmid":1,"citation":{"apa":"Jouberton, A., Shaw, T., Miles, E., Kneib, M., Fugger, S., Buri, P., … Pellicciotti, F. (2025). Snowfall decrease in recent years undermines glacier health and meltwater resources in the Northwestern Pamirs. <i>Communications Earth and Environment</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s43247-025-02611-8\">https://doi.org/10.1038/s43247-025-02611-8</a>","chicago":"Jouberton, Achille, Thomas Shaw, Evan Miles, Marin Kneib, Stefan Fugger, Pascal Buri, Michael McCarthy, et al. “Snowfall Decrease in Recent Years Undermines Glacier Health and Meltwater Resources in the Northwestern Pamirs.” <i>Communications Earth and Environment</i>. Springer Nature, 2025. <a href=\"https://doi.org/10.1038/s43247-025-02611-8\">https://doi.org/10.1038/s43247-025-02611-8</a>.","short":"A. Jouberton, T. Shaw, E. Miles, M. Kneib, S. Fugger, P. Buri, M. McCarthy, A. Kayumov, H. Navruzshoev, A. Halimov, K. Kabutov, F. Homidov, F. Pellicciotti, Communications Earth and Environment 6 (2025).","ista":"Jouberton A, Shaw T, Miles E, Kneib M, Fugger S, Buri P, McCarthy M, Kayumov A, Navruzshoev H, Halimov A, Kabutov K, Homidov F, Pellicciotti F. 2025. Snowfall decrease in recent years undermines glacier health and meltwater resources in the Northwestern Pamirs. Communications Earth and Environment. 6, 691.","ama":"Jouberton A, Shaw T, Miles E, et al. Snowfall decrease in recent years undermines glacier health and meltwater resources in the Northwestern Pamirs. <i>Communications Earth and Environment</i>. 2025;6. doi:<a href=\"https://doi.org/10.1038/s43247-025-02611-8\">10.1038/s43247-025-02611-8</a>","mla":"Jouberton, Achille, et al. “Snowfall Decrease in Recent Years Undermines Glacier Health and Meltwater Resources in the Northwestern Pamirs.” <i>Communications Earth and Environment</i>, vol. 6, 691, Springer Nature, 2025, doi:<a href=\"https://doi.org/10.1038/s43247-025-02611-8\">10.1038/s43247-025-02611-8</a>.","ieee":"A. Jouberton <i>et al.</i>, “Snowfall decrease in recent years undermines glacier health and meltwater resources in the Northwestern Pamirs,” <i>Communications Earth and Environment</i>, vol. 6. Springer Nature, 2025."},"article_type":"original","date_published":"2025-09-02T00:00:00Z","article_processing_charge":"Yes","_id":"20348","file_date_updated":"2025-09-15T08:16:09Z","abstract":[{"lang":"eng","text":"Central Asia hosts some of the world’s last relatively healthy mountain glaciers and is heavily dependent on snow and ice melt for downstream water supply, though the causes of this stable glacier state are not known. We combine recent in-situ observations, climate reanalysis and remote sensing data to force a land-surface model to reconstruct glacier changes over the last two decades (1999–2023) and disentangle their causes over a benchmark glacierized catchment in Tajikistan. We show that snowfall and snow depth have been substantially lower since 2018, leading to a decline in glacier health and reduced runoff generation. Remote-sensing observations confirm wider snow depletion across the Northwestern Pamirs, suggesting that a lack of snowfall might be a cause of mass losses regionally. Our results provide an explanation for the recent decline in glacier health in the region, and reinforce the need to better understand the variability of precipitation."}],"type":"journal_article","publication_status":"published","quality_controlled":"1","publisher":"Springer Nature","doi":"10.1038/s43247-025-02611-8","oa":1,"article_number":"691","ddc":["550"],"intvolume":"         6","external_id":{"isi":["001563848700001"],"pmid":["40910036"]},"department":[{"_id":"FrPe"}],"has_accepted_license":"1","author":[{"first_name":"Achille","last_name":"Jouberton","full_name":"Jouberton, Achille","id":"f2426a39-920b-11f0-ac40-cbeda2086b9c"},{"last_name":"Shaw","first_name":"Thomas","orcid":"0000-0001-7640-6152","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e","full_name":"Shaw, Thomas"},{"full_name":"Miles, Evan","first_name":"Evan","last_name":"Miles"},{"last_name":"Kneib","first_name":"Marin","full_name":"Kneib, Marin"},{"last_name":"Fugger","first_name":"Stefan","id":"86698d64-c4c6-11ee-af02-cdf1e6a7d31f","full_name":"Fugger, Stefan"},{"last_name":"Buri","first_name":"Pascal","id":"317987aa-9421-11ee-ac5a-b941b041abba","full_name":"Buri, Pascal"},{"id":"22a2674a-61ce-11ee-94b5-d18813baf16f","full_name":"Mccarthy, Michael","last_name":"Mccarthy","first_name":"Michael"},{"full_name":"Kayumov, Abdulhamid","last_name":"Kayumov","first_name":"Abdulhamid"},{"first_name":"Hofiz","last_name":"Navruzshoev","full_name":"Navruzshoev, Hofiz"},{"first_name":"Ardamehr","last_name":"Halimov","full_name":"Halimov, Ardamehr"},{"last_name":"Kabutov","first_name":"Khusrav","full_name":"Kabutov, Khusrav"},{"full_name":"Homidov, Farrukh","first_name":"Farrukh","last_name":"Homidov"},{"full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","orcid":"0000-0002-5554-8087","first_name":"Francesca","last_name":"Pellicciotti"}],"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","date_created":"2025-09-14T22:01:31Z","related_material":{"link":[{"url":"https://ista.ac.at/en/news/the-tipping-of-the-last-resilient-glaciers/","description":"News on ISTA website","relation":"press_release"}]},"file":[{"creator":"dernst","content_type":"application/pdf","file_size":3840094,"success":1,"checksum":"62f9740c6cf564879006f4d97b58b608","file_name":"2025_CommEarthEnvir_Jouberton.pdf","date_updated":"2025-09-15T08:16:09Z","access_level":"open_access","file_id":"20356","relation":"main_file","date_created":"2025-09-15T08:16:09Z"}],"isi":1,"OA_type":"gold","OA_place":"publisher","title":"Snowfall decrease in recent years undermines glacier health and meltwater resources in the Northwestern Pamirs"},{"day":"01","publication_identifier":{"eissn":["1758-6798"],"issn":["1758-678X"]},"year":"2025","publication":"Nature Climate Change","oa_version":"Published Version","language":[{"iso":"eng"}],"corr_author":"1","page":"1212-1218","month":"11","status":"public","PlanS_conform":"1","acknowledgement":"This work was funded by the EU Horizon 2020 Marie Skłodowska-Curie Actions grant 101026058. T.E.S. also acknowledges funding from the EU Horizon 2020 Marie Skłodowska-Curie grant agreement no. 101034413. We acknowledge funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme grant agreement no. 772751, RAVEN, ‘Rapid mass losses of debris-covered glaciers in High Mountain Asia’ and from the Swiss National Science Foundation (ASCENT Project 189890). L.C. carried out work within the RETURN Extended Partnership and received funding from the European Union Next-Generation EU (National Recovery and Resilience Plan—NRRP, Mission 4, Component 2, Investment 1.3—D.D. 1243 2/8/2022, PE0000005). We acknowledge the dedicated collection of field data and the kind provision of data from many weather stations around the world (details, references and acknowledgements in Supplementary Table 1). Open access funding provided by Institute of Science and Technology (IST Austria).","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"volume":15,"date_updated":"2026-01-05T13:36:23Z","citation":{"ieee":"T. Shaw <i>et al.</i>, “Mountain glaciers recouple to atmospheric warming over the twenty-first century,” <i>Nature Climate Change</i>, vol. 15. Springer Nature, pp. 1212–1218, 2025.","ama":"Shaw T, Miles ES, McCarthy M, et al. Mountain glaciers recouple to atmospheric warming over the twenty-first century. <i>Nature Climate Change</i>. 2025;15:1212-1218. doi:<a href=\"https://doi.org/10.1038/s41558-025-02449-0\">10.1038/s41558-025-02449-0</a>","mla":"Shaw, Thomas, et al. “Mountain Glaciers Recouple to Atmospheric Warming over the Twenty-First Century.” <i>Nature Climate Change</i>, vol. 15, Springer Nature, 2025, pp. 1212–18, doi:<a href=\"https://doi.org/10.1038/s41558-025-02449-0\">10.1038/s41558-025-02449-0</a>.","short":"T. Shaw, E.S. Miles, M. McCarthy, P. Buri, N. Guyennon, F. Salerno, L. Carturan, B. Brock, F. Pellicciotti, Nature Climate Change 15 (2025) 1212–1218.","ista":"Shaw T, Miles ES, McCarthy M, Buri P, Guyennon N, Salerno F, Carturan L, Brock B, Pellicciotti F. 2025. Mountain glaciers recouple to atmospheric warming over the twenty-first century. Nature Climate Change. 15, 1212–1218.","chicago":"Shaw, Thomas, Evan S. Miles, Michael McCarthy, Pascal Buri, Nicolas Guyennon, Franco Salerno, Luca Carturan, Benjamin Brock, and Francesca Pellicciotti. “Mountain Glaciers Recouple to Atmospheric Warming over the Twenty-First Century.” <i>Nature Climate Change</i>. Springer Nature, 2025. <a href=\"https://doi.org/10.1038/s41558-025-02449-0\">https://doi.org/10.1038/s41558-025-02449-0</a>.","apa":"Shaw, T., Miles, E. S., McCarthy, M., Buri, P., Guyennon, N., Salerno, F., … Pellicciotti, F. (2025). Mountain glaciers recouple to atmospheric warming over the twenty-first century. <i>Nature Climate Change</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41558-025-02449-0\">https://doi.org/10.1038/s41558-025-02449-0</a>"},"article_type":"original","date_published":"2025-11-01T00:00:00Z","article_processing_charge":"Yes (via OA deal)","ec_funded":1,"_id":"20480","abstract":[{"lang":"eng","text":"Recent studies have argued that air temperatures over many mountain glaciers are decoupled from their surroundings, leading to a local cooling which could slow down melting. Here we use a compilation of on-glacier meteorological observations to assess the extent to which this relationship changes under warming. Statistical modelling of the potential temperature decoupling of the world’s mountain glaciers indicates that currently glacier boundary layers warm ~0.83 °C on average for every degree of ambient temperature rise. Future projections under shared socioeconomic pathway (SSP) climate scenarios SSP 2-4.5 and SSP 5-8.5 indicate that decoupling, and thus relative cooling over glaciers, is maximized during the 2020s and 2030s, before widespread glacier retreat acts to recouple above-glacier air temperatures with its surroundings. This nonlinear feedback will lead to an increased sensitivity to warming from midcentury, with glaciers losing their capacity to affect the local climate and cool themselves."}],"file_date_updated":"2026-01-05T13:36:14Z","publication_status":"published","type":"journal_article","publisher":"Springer Nature","doi":"10.1038/s41558-025-02449-0","oa":1,"quality_controlled":"1","intvolume":"        15","external_id":{"isi":["001591762900001"]},"ddc":["550"],"has_accepted_license":"1","department":[{"_id":"FrPe"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2025-10-16T13:12:49Z","project":[{"call_identifier":"H2020","name":"IST-BRIDGE: International postdoctoral program","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","grant_number":"101034413"}],"author":[{"orcid":"0000-0001-7640-6152","last_name":"Shaw","first_name":"Thomas","full_name":"Shaw, Thomas","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e"},{"full_name":"Miles, Evan S.","last_name":"Miles","first_name":"Evan S."},{"id":"22a2674a-61ce-11ee-94b5-d18813baf16f","full_name":"McCarthy, Michael","first_name":"Michael","last_name":"McCarthy"},{"first_name":"Pascal","last_name":"Buri","full_name":"Buri, Pascal"},{"full_name":"Guyennon, Nicolas","last_name":"Guyennon","first_name":"Nicolas"},{"full_name":"Salerno, Franco","last_name":"Salerno","first_name":"Franco"},{"last_name":"Carturan","first_name":"Luca","full_name":"Carturan, Luca"},{"first_name":"Benjamin","last_name":"Brock","full_name":"Brock, Benjamin"},{"full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","orcid":"0000-0002-5554-8087","last_name":"Pellicciotti","first_name":"Francesca"}],"OA_place":"publisher","OA_type":"hybrid","title":"Mountain glaciers recouple to atmospheric warming over the twenty-first century","file":[{"access_level":"open_access","date_updated":"2026-01-05T13:36:14Z","file_id":"20955","date_created":"2026-01-05T13:36:14Z","relation":"main_file","success":1,"checksum":"2d79c3fa263999a9f921496430b101e3","file_size":2985402,"content_type":"application/pdf","creator":"dernst","file_name":"2025_NatureClimateChange_Shaw.pdf"}],"isi":1},{"publication_status":"published","type":"journal_article","oa":1,"doi":"10.5194/essd-17-4213-2025","publisher":"Copernicus Publications","quality_controlled":"1","citation":{"ieee":"A. Fontrodona-Bach <i>et al.</i>, “DebDaB: A database of supraglacial debris  thickness and physical properties,” <i>Earth System Science Data</i>, vol. 17, no. 8. Copernicus Publications, pp. 4213–4234, 2025.","mla":"Fontrodona-Bach, Adrià, et al. “DebDaB: A Database of Supraglacial Debris  Thickness and Physical Properties.” <i>Earth System Science Data</i>, vol. 17, no. 8, Copernicus Publications, 2025, pp. 4213–34, doi:<a href=\"https://doi.org/10.5194/essd-17-4213-2025\">10.5194/essd-17-4213-2025</a>.","ama":"Fontrodona-Bach A, Groeneveld L, Miles E, et al. DebDaB: A database of supraglacial debris  thickness and physical properties. <i>Earth System Science Data</i>. 2025;17(8):4213-4234. doi:<a href=\"https://doi.org/10.5194/essd-17-4213-2025\">10.5194/essd-17-4213-2025</a>","ista":"Fontrodona-Bach A, Groeneveld L, Miles E, McCarthy M, Shaw T, Melo Velasco JV, Pellicciotti F. 2025. DebDaB: A database of supraglacial debris  thickness and physical properties. Earth System Science Data. 17(8), 4213–4234.","short":"A. Fontrodona-Bach, L. Groeneveld, E. Miles, M. McCarthy, T. Shaw, J.V. Melo Velasco, F. Pellicciotti, Earth System Science Data 17 (2025) 4213–4234.","chicago":"Fontrodona-Bach, Adrià, Lars Groeneveld, Evan Miles, Michael McCarthy, Thomas Shaw, Juan Vicente Melo Velasco, and Francesca Pellicciotti. “DebDaB: A Database of Supraglacial Debris  Thickness and Physical Properties.” <i>Earth System Science Data</i>. Copernicus Publications, 2025. <a href=\"https://doi.org/10.5194/essd-17-4213-2025\">https://doi.org/10.5194/essd-17-4213-2025</a>.","apa":"Fontrodona-Bach, A., Groeneveld, L., Miles, E., McCarthy, M., Shaw, T., Melo Velasco, J. V., &#38; Pellicciotti, F. (2025). DebDaB: A database of supraglacial debris  thickness and physical properties. <i>Earth System Science Data</i>. Copernicus Publications. <a href=\"https://doi.org/10.5194/essd-17-4213-2025\">https://doi.org/10.5194/essd-17-4213-2025</a>"},"article_type":"original","date_published":"2025-08-29T00:00:00Z","article_processing_charge":"Yes","_id":"20546","abstract":[{"text":"Rocky debris covers around 7.3 % of the global glacier area, influencing ice melt rates and the surface mass balance of glaciers, making the dynamics and hydrology of debris-covered glaciers distinct from those of clean-ice glaciers. Accurate representation of debris in models is challenging, as measurements of the physical properties and thickness of the supraglacial debris layer are scarce. Here, we compile a database of measured and reported bulk physical properties and layer thicknesses of supraglacial debris that we call the supraglacial Debris Database (DebDaB) and that is open to community submissions. The majority of the database (90 %) is compiled from 172 sources in the literature, and the remaining 10 % was previously unpublished. DebDaB contains 8741 data entries for supraglacial debris layer thickness, of which 1770 entries also include sub-debris ablation rates, 179 thermal conductivity of debris, 160 aerodynamic surface roughness length, 79 debris albedo, 59 debris emissivity, and 37 debris porosity. The data are distributed over 84 glaciers in 13 regions in the Global Terrestrial Network for Glaciers. We show regional differences in the distribution of debris thickness measurements in DebDaB and fit simplified Østrem curves to 19 glaciers with sufficient debris thickness and ablation data. The data in DebDaB can be used for energy balance, melt, and surface mass balance studies by incorporating site-specific debris properties or for evaluation of remote sensing estimates of debris thickness and surface roughness. They can also help future field campaigns on debris-covered glaciers by identifying observation gaps. DebDaB's uneven spatial coverage points to sampling biases in community efforts to observe debris-covered glaciers, with some regions (e.g. central Europe and South Asia) well-sampled but others having gaps with prevalent debris (e.g. the Andes and Alaska). Debris thickness measurements are mostly concentrated at lower elevations, leaving higher-elevation debris-covered areas undersampled and suggesting that our knowledge of debris properties might not be representative of all elevations. The aims of DebDaB, as an openly available dataset, are to evolve over time, to be updated, and to add to community submissions as new data on supraglacial properties become available. The data described in this paper can be accessed from Zenodo at https://doi.org/10.5281/zenodo.14224835 (Groeneveld et al., 2025).","lang":"eng"}],"file_date_updated":"2025-10-27T08:38:40Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2025-10-27T08:21:22Z","author":[{"full_name":"Fontrodona-Bach, Adrià","id":"f06891fd-9f42-11ee-8632-a20971c43046","first_name":"Adrià","last_name":"Fontrodona-Bach"},{"full_name":"Groeneveld, Lars","first_name":"Lars","last_name":"Groeneveld"},{"full_name":"Miles, Evan","first_name":"Evan","last_name":"Miles"},{"id":"22a2674a-61ce-11ee-94b5-d18813baf16f","full_name":"McCarthy, Michael","last_name":"McCarthy","first_name":"Michael"},{"first_name":"Thomas","last_name":"Shaw","orcid":"0000-0001-7640-6152","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e","full_name":"Shaw, Thomas"},{"id":"2611dec0-b9c6-11ed-9bea-a81c2b17a549","full_name":"Melo Velasco, Juan Vicente","first_name":"Juan Vicente","last_name":"Melo Velasco"},{"last_name":"Pellicciotti","first_name":"Francesca","orcid":"0000-0002-5554-8087","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","full_name":"Pellicciotti, Francesca"}],"issue":"8","OA_place":"publisher","title":"DebDaB: A database of supraglacial debris  thickness and physical properties","OA_type":"gold","file":[{"access_level":"open_access","date_updated":"2025-10-27T08:38:40Z","file_id":"20548","relation":"main_file","date_created":"2025-10-27T08:38:40Z","success":1,"checksum":"f77ebb9825f374134a89e0e6311fe188","file_size":3842196,"content_type":"application/pdf","creator":"dernst","file_name":"2025_EarthSystemScienceData_FontrodonaBach.pdf"}],"related_material":{"record":[{"status":"public","id":"20547","relation":"research_data"}]},"isi":1,"intvolume":"        17","external_id":{"isi":["001560847000001"]},"ddc":["550"],"has_accepted_license":"1","department":[{"_id":"FrPe"}],"scopus_import":"1","publication":"Earth System Science Data","oa_version":"Published Version","corr_author":"1","language":[{"iso":"eng"}],"day":"29","DOAJ_listed":"1","publication_identifier":{"issn":["1866-3516"]},"year":"2025","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_updated":"2025-12-01T15:05:58Z","volume":17,"page":"4213-4234","month":"08","status":"public","PlanS_conform":"1","acknowledgement":"This work was supported by SNF project RENOIR (“Resolving the thickness of debris on Earth’s glaciers and its rate of change”; grant no. 204322). This project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and\r\ninnovation programme (grant no. 772751; RAVEN: “Rapid mass losses of debris covered glaciers in High Mountain Asia”). The authors acknowledge DCGWG of IACS for setting the stage and bringing together the debris-covered glacier community to focus on broader needs transcending a specific research topic and for starting the Zenodo community on debris-covered glaciers, where this database is hosted. The authors thank Achim A. Beylich (topical editor), Ken\r\nMankoff (chief editor), Morgan Jones (reviewer), and an anonymous reviewer for their  constructive feedback, comments, and discussions on the database and paper."},{"doi":"10.5281/ZENODO.14224835","oa":1,"publisher":"Zenodo","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.15441000"}],"oa_version":"Published Version","type":"research_data_reference","abstract":[{"text":"DebdaB is a database of measured and reported physical properties and thickness of supraglacial debris that is openly available and open to community submissions.\r\n\r\nThe majority of the database (90%) is compiled from 172 sources in the literature, and the remaining 10% has not been published before. DebDaB contains 8,286 data entries for supraglacial debris thickness, of which 1,852 entries also include sub-debris ablation rates, 167 data entries of thermal conductivity of debris, 157 of aerodynamic surface roughness length, 77 of debris albedo, 56 of debris emissivity and 37 of debris porosity. The data are distributed over 83 glaciers in 13 regions in the Global Terrestrial Network for Glaciers. ","lang":"eng"}],"_id":"20547","year":"2025","article_processing_charge":"No","date_published":"2025-05-16T00:00:00Z","day":"16","citation":{"ama":"Groeneveld L, Fontrodona-Bach A, Miles E, et al. DebDaB: A database of supraglacial debris thickness and physical properties. 2025. doi:<a href=\"https://doi.org/10.5281/ZENODO.14224835\">10.5281/ZENODO.14224835</a>","mla":"Groeneveld, Lars, et al. <i>DebDaB: A Database of Supraglacial Debris Thickness and Physical Properties</i>. Zenodo, 2025, doi:<a href=\"https://doi.org/10.5281/ZENODO.14224835\">10.5281/ZENODO.14224835</a>.","ieee":"L. Groeneveld <i>et al.</i>, “DebDaB: A database of supraglacial debris thickness and physical properties.” Zenodo, 2025.","apa":"Groeneveld, L., Fontrodona-Bach, A., Miles, E., McCarthy, M., Melo Velasco, J. V., Shaw, T., … Schmid, S. (2025). DebDaB: A database of supraglacial debris thickness and physical properties. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.14224835\">https://doi.org/10.5281/ZENODO.14224835</a>","chicago":"Groeneveld, Lars, Adrià Fontrodona-Bach, Evan Miles, Michael McCarthy, Juan Vicente Melo Velasco, Thomas Shaw, Francesca Pellicciotti, et al. “DebDaB: A Database of Supraglacial Debris Thickness and Physical Properties.” Zenodo, 2025. <a href=\"https://doi.org/10.5281/ZENODO.14224835\">https://doi.org/10.5281/ZENODO.14224835</a>.","short":"L. Groeneveld, A. Fontrodona-Bach, E. Miles, M. McCarthy, J.V. Melo Velasco, T. Shaw, F. Pellicciotti, A. Bauder, P. Buri, M. Kneib, A. Kumar, A. Mishra,  lene Petersen, R. Renner, S. Schmid, (2025).","ista":"Groeneveld L, Fontrodona-Bach A, Miles E, McCarthy M, Melo Velasco JV, Shaw T, Pellicciotti F, Bauder A, Buri P, Kneib M, Kumar A, Mishra A, Petersen  lene, Renner R, Schmid S. 2025. DebDaB: A database of supraglacial debris thickness and physical properties, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.14224835\">10.5281/ZENODO.14224835</a>."},"date_updated":"2025-12-01T15:05:58Z","related_material":{"record":[{"status":"public","id":"20546","relation":"used_in_publication"}]},"title":"DebDaB: A database of supraglacial debris thickness and physical properties","OA_type":"gold","OA_place":"repository","author":[{"full_name":"Groeneveld, Lars","first_name":"Lars","last_name":"Groeneveld"},{"first_name":"Adrià","last_name":"Fontrodona-Bach","id":"f06891fd-9f42-11ee-8632-a20971c43046","full_name":"Fontrodona-Bach, Adrià"},{"first_name":"Evan","last_name":"Miles","full_name":"Miles, Evan"},{"full_name":"McCarthy, Michael","id":"22a2674a-61ce-11ee-94b5-d18813baf16f","last_name":"McCarthy","first_name":"Michael"},{"full_name":"Melo Velasco, Juan Vicente","id":"2611dec0-b9c6-11ed-9bea-a81c2b17a549","last_name":"Melo Velasco","first_name":"Juan Vicente"},{"full_name":"Shaw, Thomas","id":"3caa3f91-1f03-11ee-96ce-e0e553054d6e","orcid":"0000-0001-7640-6152","last_name":"Shaw","first_name":"Thomas"},{"full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","orcid":"0000-0002-5554-8087","last_name":"Pellicciotti","first_name":"Francesca"},{"last_name":"Bauder","first_name":"Andreas","full_name":"Bauder, Andreas"},{"full_name":"Buri, Pascal","last_name":"Buri","first_name":"Pascal"},{"full_name":"Kneib, Marin","last_name":"Kneib","first_name":"Marin"},{"last_name":"Kumar","first_name":"Amit","full_name":"Kumar, Amit"},{"full_name":"Mishra, Aditya","last_name":"Mishra","first_name":"Aditya"},{"full_name":"Petersen, lene","first_name":"lene","last_name":"Petersen"},{"full_name":"Renner, Roman","last_name":"Renner","first_name":"Roman"},{"first_name":"Sandro","last_name":"Schmid","full_name":"Schmid, Sandro"}],"date_created":"2025-10-27T08:42:09Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"FrPe"}],"status":"public","month":"05","ddc":["550"]},{"publication_identifier":{"eissn":["1727-5652"],"issn":["0022-1430"]},"day":"10","DOAJ_listed":"1","year":"2025","scopus_import":"1","publication":"Journal of Glaciology","oa_version":"Published Version","language":[{"iso":"eng"}],"month":"11","acknowledgement":"This study was supported by the National Natural Science Foundation of China (grant nos. 42271138, 42201144), Lhasa Science and Technology Plan Project (LSKJ202406), the National Key R&D Program of China (grant nos. 2024YFF0808601), and the Science and Technology Plan Projects of Tibet Autonomous Region (Grants XZ202501ZY0081 and XZ202401ZY0003). ZH additionally acknowledges mobility funding provided by China Scholarship Council (CSC), supporting an extended research stay at the University of Plymouth, where much of this research was completed.","PlanS_conform":"1","status":"public","date_updated":"2026-06-18T18:24:59Z","date_published":"2025-11-10T00:00:00Z","article_processing_charge":"Yes","citation":{"ieee":"Z. He <i>et al.</i>, “Quantifying the seasonal dynamics of a transitional ice cliff-pond system on a debris-covered glacier,” <i>Journal of Glaciology</i>. Cambridge University Press, 2025.","mla":"He, Zhen, et al. “Quantifying the Seasonal Dynamics of a Transitional Ice Cliff-Pond System on a Debris-Covered Glacier.” <i>Journal of Glaciology</i>, Cambridge University Press, 2025, doi:<a href=\"https://doi.org/10.1017/jog.2025.10104\">10.1017/jog.2025.10104</a>.","ama":"He Z, Westoby M, REN S, et al. Quantifying the seasonal dynamics of a transitional ice cliff-pond system on a debris-covered glacier. <i>Journal of Glaciology</i>. 2025. doi:<a href=\"https://doi.org/10.1017/jog.2025.10104\">10.1017/jog.2025.10104</a>","ista":"He Z, Westoby M, REN S, Zhao C, He Y, Zhang T, Yang W. 2025. Quantifying the seasonal dynamics of a transitional ice cliff-pond system on a debris-covered glacier. Journal of Glaciology.","short":"Z. He, M. Westoby, S. REN, C. Zhao, Y. He, T. Zhang, W. Yang, Journal of Glaciology (2025).","apa":"He, Z., Westoby, M., REN, S., Zhao, C., He, Y., Zhang, T., &#38; Yang, W. (2025). Quantifying the seasonal dynamics of a transitional ice cliff-pond system on a debris-covered glacier. <i>Journal of Glaciology</i>. Cambridge University Press. <a href=\"https://doi.org/10.1017/jog.2025.10104\">https://doi.org/10.1017/jog.2025.10104</a>","chicago":"He, Zhen, Matthew Westoby, SHAOTING REN, Chuanxi Zhao, Yifei He, Tianzhao Zhang, and Wei Yang. “Quantifying the Seasonal Dynamics of a Transitional Ice Cliff-Pond System on a Debris-Covered Glacier.” <i>Journal of Glaciology</i>. Cambridge University Press, 2025. <a href=\"https://doi.org/10.1017/jog.2025.10104\">https://doi.org/10.1017/jog.2025.10104</a>."},"article_type":"original","abstract":[{"lang":"eng","text":"Ice cliffs and supraglacial ponds are key drivers of mass loss on debris-covered glaciers. However, the relationship between melt ponds and adjacent ice cliffs has not been fully explored. We investigated the seasonal drainage patterns of a melt pond on the debris-covered Zhuxi Glacier in southeast Tibet and estimated the mass loss of its adjacent ice cliff during 2023-2024. Using hourly time-lapse photogrammetry we built a series of high-resolution point clouds to quantify the evolution of the ice cliff-pond system. Our findings indicate that subaerial melting and undercutting were the primary mechanisms of ice cliff mass loss during summer. In winter when the pond water level dropped, ice cliff calving became the dominant mode of ice loss. As the water level rose in spring, calving and subaerial melting occurred simultaneously and ice loss from calving accounted for approximately 19.5 % of total ice loss from February to July 2024. Our results reveal the transitional state of this ice cliff-pond system, exhibiting characteristics of both melt hotspots and lake-terminating calving fronts, and highlight the interplay between seasonal drainage-refill pond and differing modes of ice loss on adjacent ice cliff. Future research should focus on additional high-resolution monitoring of similar systems and incorporation of ice cliff-pond dynamics in glacier-scale numerical models. "}],"_id":"20669","type":"journal_article","publication_status":"epub_ahead","main_file_link":[{"url":"https://doi.org/10.1017/jog.2025.10104","open_access":"1"}],"doi":"10.1017/jog.2025.10104","oa":1,"publisher":"Cambridge University Press","quality_controlled":"1","ddc":["550"],"department":[{"_id":"FrPe"}],"date_created":"2025-11-23T23:01:40Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"full_name":"He, Zhen","last_name":"He","first_name":"Zhen"},{"first_name":"Matthew","last_name":"Westoby","full_name":"Westoby, Matthew"},{"last_name":"Ren","first_name":"Shaoting","full_name":"Ren, Shaoting","id":"2066b6dd-2d54-11ef-8f8c-c94731161817"},{"first_name":"Chuanxi","last_name":"Zhao","full_name":"Zhao, Chuanxi"},{"first_name":"Yifei","last_name":"He","full_name":"He, Yifei"},{"full_name":"Zhang, Tianzhao","first_name":"Tianzhao","last_name":"Zhang"},{"last_name":"Yang","first_name":"Wei","full_name":"Yang, Wei"}],"OA_type":"gold","OA_place":"publisher","title":"Quantifying the seasonal dynamics of a transitional ice cliff-pond system on a debris-covered glacier"}]