Glacier Mass Balance Intercomparison Exercise (GlaMBIE) Dataset

 

DOI for current scientific data (Identifier): 10.5904/wgms-glambie-2024-07

Creator: The Glacier Mass Balance Intercomparison Exercise (GlaMBIE) Team

Title: Glacier Mass Balance Intercomparison Exercise (GlaMBIE) Dataset

Publisher: World Glacier Monitoring Service (WGMS)

Publication year: 2024

Release date: 2024-07-16

Rights: Open access under requirement of correct citation

Citation: The GlaMBIE Team (2024): Glacier Mass Balance Intercomparison Exercise (GlaMBIE) Dataset 1.0.0. World Glacier Monitoring Service (WGMS), Zurich, Switzerland. https://doi.org/10.5904/wgms-glambie-2024-07

Related publication:

The GlaMBIE Team (2025): Community estimate of global glacier mass changes from 2000 to 2023. Nature. https://doi.org/10.1038/s41586-024-08545-z

Contributors: GlaMBIE was a community effort supported by the European Space Agency (ESA) from 2022 to 2024. The results were compiled and analysed by the GlaMBIE Team (listed below), with a complete list of data contributors listed in the supplementary information of The GlaMBIE Team (2025, Nature).

Michael Zemp¹, Livia Jakob², Inés Dussaillant¹, Samuel U. Nussbaumer¹, Noel Gourmelen^2,3, Sophie Dubber², Geruo A⁴, Sahra Abdullahi⁵, Liss Marie Andreassen⁶, Etienne Berthier⁷, Atanu Bhattacharya^8,9, Alejandro Blazquez⁷, Laura F. Boehm Vock¹⁰, Tobias Bolch^11,12, Jason Box¹³, Matthias H. Braun¹⁴, Fanny Brun¹⁵, Eric Cicero¹⁶, William Colgan^13,17, Nicolas Eckert^18,19, Daniel Farinotti^20,21, Caitlyn Florentine²², Dana Floricioiu⁵, Alex Gardner²³, Christopher Harig¹⁶, Javed Hassan²⁴, Romain Hugonnet²⁵, Matthias Huss^20,21,26, Tómas Jóhannesson²⁷, Chia-Chun Angela Liang⁴, Chang-Qing Ke²⁸, Shfaqat Abbas Khan²⁴, Owen King²⁹, Marin Kneib^15,30, Lukas Krieger⁵, Fabien Maussion³¹, Enrico Mattea²⁶, Robert McNabb³², Brian Menounos^33,34,35, Evan Miles^1,21,26, Geir Moholdt³⁶, Johan Nilsson²³, Finnur Pálsson³⁷, Julia Pfeffer³⁸, Livia Piermattei^1,21,39, Stephen Plummer⁴⁰, Andreas Richter^41,42, Ingo Sasgen^43,44, Lilian Schuster³⁰, Thorsten Seehaus¹⁴, Xiaoyi Shen⁴⁵, Christian Sommer¹⁴, Tyler Sutterley⁴⁶, Désirée Treichler³⁹, Isabella Velicogna^4,23, Bert Wouters⁴⁷, Harry Zekollari^20,48, Whyjay Zheng⁴⁹

¹Department of Geography, University of Zurich, Zurich, CH. ²Earthwave Ltd, Edinburgh, UK. ³University of Edinburgh, School of Geosciences, Edinburgh, UK. ⁴Department of Earth System Science, University of California, Irvine, USA. ⁵German Aerospace Center (DLR), Earth Observation Center, Oberpfaffenhofen, DE. ⁶ Norwegian Water Resources and Energy Directorate (NVE), Oslo, NO. ⁷Université de Toulouse, LEGOS (CNES/CNRS/IRD/UT3), Toulouse, FR. ⁸Department of Earth Sciences & Remote Sensing, JIS University, Kolkata, IN. ⁹Center for Data Science, JIS Institute of Advanced Studies & Research, Kolkata, IN. ¹⁰Department of Mathematics, Statistics, and Computer Science, St. Olaf College, Northfield, USA. ¹¹Institute of Geodesy, Graz University of Technology, Graz, AT. ¹²Central-Asian Regional Glaciological Centre of Category 2 under the Auspices of UNESCO, Almaty, Kazakhstan. ¹³Department of Glaciology and Climate, Geological Survey of Denmark and Greenland, Copenhagen, DK. 14Institute of Geography, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, DE. ¹⁵Institut des Géosciences de l’Environnement, Université Grenoble-Alpes, CNRS, IRD, Grenoble, FR. ¹⁶Department of Geosciences, University of Arizona, USA. ¹⁷Department of Earth and Space Science and Engineering, York University, Toronto, CA. ¹⁸INRAE, CNRS, IRD, Grenoble INP, IGE, Grenoble, FR. ¹⁹Grenoble Risk Institute, Grenoble, FR. ²⁰Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zurich, CH. ²¹Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, CH. ²²U.S. Geological Survey, USA. ²³Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA. ²⁴DTU Space, Technical University of Denmark, Kgs. Lyngby, DK. ²⁵University of Washington, Civil and Environmental Engineering, Seattle, USA. ²⁶Department of Geosciences, University of Fribourg, Fribourg, CH. ²⁷Icelandic Meteorological Office, Reykjavík, IS. ²⁸Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, CN. ²⁹Department of Geography, Politics and Sociology, Newcastle University, Newcastle, UK. ³⁰Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, AT. ³¹School of Geographical Sciences, University of Bristol, Bristol, UK. ³²School of Geography and Environmental Sciences, Ulster University, Coleraine, UK. ³³Geological Survey of Canada Pacific, Natural Resources Canada, Sidney, CA. ³⁴Hakai Institute, Campbell River, CA. ³⁵Geography Earth and Environmental Sciences, University of Northern British Columbia, Prince George, CA. ³⁶Norwegian Polar Institute, Tromsø, NO. ³⁷Institute of Earth Sciences, University of Iceland, Reykjavík, IS. ³⁸Magellium, Ramonville-Saint-Agne, FR. ³⁹Department of Geosciences, University of Oslo, Oslo, NO. ⁴⁰European Space Agency, ESRIN, Frascati, IT. ⁴¹Laboratorio MAGGIA, Facultad de Ciencias Astronómicas y Geofísicas, Universidad Nacional de La Plata, La Plata, AR. ⁴²Consejo Nacional de Investigaciones Científicas y Técnicas, AR. ⁴³Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, DE. ⁴⁴Institute of Geography, University of Augsburg, Augsburg, DE. ⁴⁵School of Earth Sciences and Engineering, Hohai University, Nanjing, CN. ⁴⁶Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, USA. ⁴⁷Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, NL. ⁴⁸Department of Water and Climate, Vrije Universiteit Brussel, Brussels, BE. ⁴⁹Center for Space and Remote Sensing Research, National Central University, Taoyuan, TW.

Language: English

Data format: CSV files, zipped

Data size: 2.6 MB

Description: This dataset contains the input data and results of GlaMBIE. The input data represents the original data submitted to GlaMBIE, edited to fit the monthly grid and format of GlaMBIE. The results contain the final combined estimates amongst observation methods (DEM differencing & glaciological method, altimetry, gravimetry) and the results for each observation method individually. The datasets’ time resolution is annual. Results exist for the hydrological year as well as for the calendar year. Within GlaMBIE, the solutions per observation method are combined into one regional solution and then converted to calendar years for global aggregation. The GlaMBIE Team (2025, Nature) provides more information about the approach and results.

Spatial coverage: Global

Temporal coverage: 2000-2023 AD

Versions	doi	metadata	data download
2024	10.5904/wgms-glambie-2024-07	website	zip file