Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-1973-2020
https://doi.org/10.5194/essd-12-1973-2020
Data description paper
 | 
03 Sep 2020
Data description paper |  | 03 Sep 2020

A deep learning reconstruction of mass balance series for all glaciers in the French Alps: 1967–2015

Jordi Bolibar, Antoine Rabatel, Isabelle Gouttevin, and Clovis Galiez

Related authors

Universal differential equations for glacier ice flow modelling
Jordi Bolibar, Facundo Sapienza, Fabien Maussion, Redouane Lguensat, Bert Wouters, and Fernando Pérez
Geosci. Model Dev., 16, 6671–6687, https://doi.org/10.5194/gmd-16-6671-2023,https://doi.org/10.5194/gmd-16-6671-2023, 2023
Short summary
Deep learning applied to glacier evolution modelling
Jordi Bolibar, Antoine Rabatel, Isabelle Gouttevin, Clovis Galiez, Thomas Condom, and Eric Sauquet
The Cryosphere, 14, 565–584, https://doi.org/10.5194/tc-14-565-2020,https://doi.org/10.5194/tc-14-565-2020, 2020
Short summary

Related subject area

Glaciology
Climate and ablation observations from automatic ablation and weather stations at A. P. Olsen Ice Cap transect, northeast Greenland, for May 2008 through May 2022
Signe Hillerup Larsen, Daniel Binder, Anja Rutishauser, Bernhard Hynek, Robert Schjøtt Fausto, and Michele Citterio
Earth Syst. Sci. Data, 16, 4103–4118, https://doi.org/10.5194/essd-16-4103-2024,https://doi.org/10.5194/essd-16-4103-2024, 2024
Short summary
Glaciological and meteorological monitoring at Long Term Ecological Research (LTER) sites Mullwitzkees and Venedigerkees, Austria, 2006–2022
Lea Hartl, Bernd Seiser, Martin Stocker-Waldhuber, Anna Baldo, Marcela Violeta Lauria, and Andrea Fischer
Earth Syst. Sci. Data, 16, 4077–4101, https://doi.org/10.5194/essd-16-4077-2024,https://doi.org/10.5194/essd-16-4077-2024, 2024
Short summary
A newly digitized ice-penetrating radar data set acquired over the Greenland ice sheet in 1971–1979
Nanna B. Karlsson, Dustin M. Schroeder, Louise Sandberg Sørensen, Winnie Chu, Jørgen Dall, Natalia H. Andersen, Reese Dobson, Emma J. Mackie, Simon J. Köhn, Jillian E. Steinmetz, Angelo S. Tarzona, Thomas O. Teisberg, and Niels Skou
Earth Syst. Sci. Data, 16, 3333–3344, https://doi.org/10.5194/essd-16-3333-2024,https://doi.org/10.5194/essd-16-3333-2024, 2024
Short summary
Multitemporal characterization of a proglacial system: a multidisciplinary approach
Elisabetta Corte, Andrea Ajmar, Carlo Camporeale, Alberto Cina, Velio Coviello, Fabio Giulio Tonolo, Alberto Godio, Myrta Maria Macelloni, Stefania Tamea, and Andrea Vergnano
Earth Syst. Sci. Data, 16, 3283–3306, https://doi.org/10.5194/essd-16-3283-2024,https://doi.org/10.5194/essd-16-3283-2024, 2024
Short summary
Ice thickness and bed topography of Jostedalsbreen ice cap, Norway
Mette Kusk Gillespie, Liss Marie Andreassen, Matthias Huss, Simon de Villiers, Kamilla Hauknes Sjursen, Jostein Aasen, Jostein Bakke, Jan Magne Cederstrøm, Halgeir Elvehøy, Bjarne Kjøllmoen, Even Loe, Marte Meland, Kjetil Melvold, Sigurd Daniel Nerhus, Torgeir Opeland Røthe, Eivind Nagel Wilhelm Støren, Kåre Øst, and Jacob Clement Yde
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-167,https://doi.org/10.5194/essd-2024-167, 2024
Revised manuscript accepted for ESSD
Short summary

Cited articles

Benn, D. I. and Evans, D. J. A.: Glaciers and glaciation, Routledge, New York, NY, USA, 2nd Edn., available at: http://www.imperial.eblib.com/EBLWeb/patron/?target=patron&extendedid=P_615876_0 (last access: 27 August 2020), oCLC: 878863282, 2014. a
Berthier, E., Vincent, C., Magnússon, E., Gunnlaugsson, À. Þ., Pitte, P., Le Meur, E., Masiokas, M., Ruiz, L., Pálsson, F., Belart, J. M. C., and Wagnon, P.: Glacier topography and elevation changes derived from Pléiades sub-meter stereo images, The Cryosphere, 8, 2275–2291, https://doi.org/10.5194/tc-8-2275-2014, 2014. a
Berthier, E., Cabot, V., Vincent, C., and Six, D.: Decadal Region-Wide and Glacier-Wide Mass Balances Derived from Multi-Temporal ASTER Satellite Digital Elevation Models. Validation over the Mont-Blanc Area, Front. Earth Sci., 4, 63, https://doi.org/10.3389/feart.2016.00063, 2016. a
Bolibar, J.: ALPGM (ALpine Parameterized Glacier Model) v1.1, Zenodo, https://doi.org/10.5281/zenodo.3609136, 2020. a, b, c
Bolibar, J., Rabatel, A., Gouttevin, I., and Galiez, C.: A deep learning reconstruction of mass balance series for all glaciers in the French Alps: 1967–2015, Zenodo, https://doi.org/10.5281/zenodo.3922935, 2020a. a, b, c, d
Download
Short summary
We present a dataset of annual glacier mass changes for all the 661 glaciers in the French Alps for the 1967–2015 period, reconstructed using deep learning (i.e. artificial intelligence). We estimate an average annual mass loss of –0.69 ± 0.21 m w.e., the highest being in the Chablais, Ubaye and Champsaur massifs and the lowest in the Mont Blanc, Oisans and Haute Tarentaise ranges. This dataset can be of interest to hydrology and ecology studies on glacierized catchments in the French Alps.
Altmetrics
Final-revised paper
Preprint