Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning.

Bolibar J, Rabatel A, Gouttevin I, Zekollari H, Galiez C

DOI: 10.1038/s41467-022-28033-0
Published: 2022 Jan 20
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-022-28033-0,
  title = {Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning.},
  author = {Bolibar J and Rabatel A and Gouttevin I and Zekollari H and Galiez C},
  year = {2022},
  journal = {Nature communications},
  doi = {10.1038/s41467-022-28033-0},
  url = {https://doi.org/10.1038/s41467-022-28033-0}
}

RIS

TY  - JOUR
TI  - Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning.
AU  - Bolibar J
AU  - Rabatel A
AU  - Gouttevin I
AU  - Zekollari H
AU  - Galiez C
PY  - 2022
JO  - Nature communications
DO  - 10.1038/s41467-022-28033-0
UR  - https://doi.org/10.1038/s41467-022-28033-0
ER  -

APA

J, B., A, R., I, G., H, Z., & C, G. (2022). Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning.. Nature communications. https://doi.org/10.1038/s41467-022-28033-0

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pubmed · retrieved 2026-09-26T13:16:36.107Z