Fanny Brun

Dr. Fanny Brun

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 August 2017 in Nature Geoscience
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FBFanny Brun
Fanny Brun
EBEtienne Berthier
Etienne Berthier
PWPatrick Wagnon
Patrick Wagnon
AKAndreas Kääb
Andreas Kääb
DTDésirée Treichler
Désirée Treichler
High Mountain Asia hosts the largest glacier concentration outside the polar regions. These glaciers are important contributors to streamflow in one of the most populated areas of the world. Past studies have used methods that can provide only regionally averaged glacier mass balances to assess the glacier contribution to rivers and sea level rise. Here we compute the mass balance for about 92% of the glacierized area of High Mountain Asia using time series of digital elevation models derived from satellite stereo-imagery. We calculate a total mass change of −16.3 ± 3.5 Gt yr−1 (−0.18 ± 0.04 m w.e. yr−1) between 2000 and 2016, which is less negative than most previous estimates. Region-wide mass balances vary from −4.0 ± 1.5 Gt yr−1 (−0.62 ± 0.23 m w.e. yr−1) in Nyainqentanglha to +1.4 ± 0.8 Gt yr−1 (+0.14 ± 0.08 m w.e. yr−1) in Kunlun, with large intra-regional variability of individual glacier mass balances (standard deviation within a region ∼0.20 m w.e. yr−1). Specifically, our results shed light on the Nyainqentanglha and Pamir glacier mass changes, for which contradictory estimates exist in the literature. They provide crucial information for the calibration of the models used for projecting glacier response to climatic change, as these models do not capture the pattern, magnitude and intra-regional variability of glacier changes at present. Publisher Correction (18 June 2018)

10 December 2018 in Nature Geoscience
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ADAmaury Dehecq
Amaury Dehecq
NGNoel Gourmelen
Noel Gourmelen
AGAlex Gardner
Alex Gardner
FBFanny Brun
Fanny Brun
DGDaniel Goldberg
Daniel Goldberg
ETEmmanuel Trouvé
Emmanuel Trouvé

30 November 2018 in Nature Geoscience
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JWJida Wang
Jida Wang
CSChunqiao Song
Chunqiao Song
JRJohn Reager
John Reager
FYFangfang Yao
Fangfang Yao
JFJames Famiglietti
James Famiglietti
YWYoshihide Wada
Yoshihide Wada

16 September 2019 in Nature Geoscience
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IDI. Dussaillant
I. Dussaillant
EBEtienne Berthier
Etienne Berthier
FBFanny Brun
Fanny Brun
MMM. Masiokas
M. Masiokas
RHR. Hugonnet
R. Hugonnet
LRL. Ruiz
L. Ruiz

22 January 2018 in Nature Geoscience
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AKAndreas Kääb
Andreas Kääb
SLSilvan Leinss
Silvan Leinss
AGAdrien Gilbert
Adrien Gilbert
YBYves Bühler
Yves Bühler
Simon GascoinSimon Gascoin
Simon Gascoin
TYTandong Yao
Tandong Yao

19 February 2025 in Nature
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TTThe GlaMBIE Team
The GlaMBIE Team
MZMichael Zemp
Michael Zemp
LJLivia Jakob
Livia Jakob
IDInés Dussaillant
Inés Dussaillant
SNSamuel U. Nussbaumer
Samuel U. Nussbaumer
WZWhyjay Zheng
Whyjay Zheng
Glaciers are indicators of ongoing anthropogenic climate change1. Their melting leads to increased local geohazards2, and impacts marine3 and terrestrial4,5 ecosystems, regional freshwater resources6, and both global water and energy cycles7,8. Together with the Greenland and Antarctic ice sheets, glaciers are essential drivers of present9,10 and future11–13 sea-level rise. Previous assessments of global glacier mass changes have been hampered by spatial and temporal limitations and the heterogeneity of existing data series14–16. Here we show in an intercomparison exercise that glaciers worldwide lost 273 ± 16 gigatonnes in mass annually from 2000 to 2023, with an increase of 36 ± 10% from the first (2000–2011) to the second (2012–2023) half of the period. Since 2000, glaciers have lost between 2% and 39% of their ice regionally and about 5% globally. Glacier mass loss is about 18% larger than the loss from the Greenland Ice Sheet and more than twice that from the Antarctic Ice Sheet17. Our results arise from a scientific community effort to collect, homogenize, combine and analyse glacier mass changes from in situ and remote-sensing observations. Although our estimates are in agreement with findings from previous assessments14–16 at a global scale, we found some large regional deviations owing to systematic differences among observation methods. Our results provide a refined baseline for better understanding observational differences and for calibrating model ensembles12,16,18, which will help to narrow projection uncertainty for the twenty-first century11,12,18.