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: GlaMBIE (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 publications:

GlaMBIE (2024): Community estimate of global glacier mass changes from 2000 to 2023. Nature, XXX, p. XXX–XXX. https://doi.org/xxx.

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 GlaMBIE (2024, 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 Bolch¹¹, Jason Box¹², Matthias H. Braun¹³, Fanny Brun¹⁴, Eric Cicero¹⁵, William Colgan^12,16, Nicolas Eckert^17,18, Daniel Farinotti^19,20, Caitlyn Florentine²¹, Dana Floricioiu⁵, Alex Gardner²², Christopher Harig¹⁵, Javed Hassan²³, Romain Hugonnet²⁴, Matthias Huss^19,20,25, Tómas Jóhannesson²⁶, Chia-Chun Angela Liang⁴, Chang-Qing Ke²⁷, Shfaqat Abbas Khan²³, Owen King²⁸, Marin Kneib^14,29, Lukas Krieger⁵, Fabien Maussion³⁰, Enrico Mattea²⁵, Robert McNabb³¹, Brian Menounos^32,33,34, Evan Miles^1,25,20, Geir Moholdt³⁵, Johan Nilsson²², Finnur Pálsson³⁶, Julia Pfeffer³⁷, Livia Piermattei^1,20,38, Stephen Plummer³⁹, Andreas Richter^40,41, Ingo Sasgen^42,43, Lilian Schuster²⁹, Thorsten Seehaus¹³, Xiaoyi Shen⁴⁴, Christian Sommer¹³, Tyler Sutterley⁴⁵, Désirée Treichler³⁸, Isabella Velicogna^4,22, Bert Wouters⁴⁶, Harry Zekollari^47,19, Whyjay Zheng⁴⁸

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. ¹²Department of Glaciology and Climate, Geological Survey of Denmark and Greenland, Copenhagen, DK. ¹³Institute of Geography, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, DE. ¹⁴Institut des Géosciences de l’Environnement, Université Grenoble-Alpes, CNRS, IRD, Grenoble, FR. ¹⁵Department of Geosciences, University of Arizona, USA. ¹⁶Department of Earth and Space Science and Engineering, York University, Toronto, CA. ¹⁷INRAE, CNRS, IRD, Grenoble INP, IGE, Grenoble, FR. ¹⁸Grenoble Risk Institute, Grenoble, FR. ¹⁹Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zurich, CH. ²⁰Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, CH. ²¹U.S. Geological Survey, USA. ²²Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA. ²³DTU Space, Technical University of Denmark, Kgs. Lyngby, DK. ²⁴University of Washington, Civil and Environmental Engineering, Seattle, USA. ²⁵Department of Geosciences, University of Fribourg, Fribourg, CH. ²⁶Icelandic Meteorological Office, Reykjavík, IS. ²⁷Jiangsu 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. ²⁸Department of Geography, Politics and Sociology, Newcastle University, Newcastle, UK. ²⁹Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, AT. ³⁰School of Geographical Sciences, University of Bristol, Bristol, UK. ³¹School of Geography and Environmental Sciences, Ulster University, Coleraine, UK. ³²Geological Survey of Canada Pacific, Natural Resources Canada, Sidney, CA. ³³Hakai Institute, Campbell River, CA. ³⁴Geography Earth and Environmental Sciences, University of Northern British Columbia, Prince George, CA. ³⁵Norwegian Polar Institute, Tromsø, NO. ³⁶Institute of Earth Sciences, University of Iceland, Reykjavík, IS. ³⁷Magellium, Ramonville-Saint-Agne, FR. ³⁸Department of Geosciences, University of Oslo, Oslo, NO. ³⁹European Space Agency, ESRIN, Frascati, IT. ⁴⁰Laboratorio MAGGIA, Facultad de Ciencias Astronómicas y Geofísicas, Universidad Nacional de La Plata, La Plata, AR. ⁴¹Consejo Nacional de Investigaciones Científicas y Técnicas, AR. ⁴²Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, DE. ⁴³Institute of Geography, University of Augsburg, Augsburg, DE. ⁴⁴School of Earth Sciences and Engineering, Hohai University, Nanjing, CN. ⁴⁵Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, USA. ⁴⁶Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, NL. ⁴⁷Department of Water and Climate, Vrije Universiteit Brussel, Brussels, BE. ⁴⁸Center 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. GlaMBIE (2024, 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