Articles | Volume 15, issue 11
The Cryosphere, 15, 5017–5040, 2021
https://doi.org/10.5194/tc-15-5017-2021
The Cryosphere, 15, 5017–5040, 2021
https://doi.org/10.5194/tc-15-5017-2021

Research article 01 Nov 2021

Research article | 01 Nov 2021

Assimilating near-real-time mass balance stake readings into a model ensemble using a particle filter

Johannes Marian Landmann et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (21 Jun 2021) by Marie Dumont
AR by Johannes Landmann on behalf of the Authors (15 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Reconsider after major revisions (further review by editor and referees) (16 Aug 2021) by Marie Dumont
ED: Referee Nomination & Report Request started (17 Aug 2021) by Marie Dumont
RR by Anonymous Referee #2 (26 Aug 2021)
RR by Douglas Brinkerhoff (04 Oct 2021)
ED: Publish as is (05 Oct 2021) by Marie Dumont
AR by Johannes Landmann on behalf of the Authors (06 Oct 2021)  Author's response    Manuscript
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Short summary
In this study, we (1) acquire real-time information on point glacier mass balance with autonomous real-time cameras and (2) assimilate these observations into a mass balance model ensemble driven by meteorological input. For doing so, we use a customized particle filter that we designed for the specific purposes of our study. We find melt rates of up to 0.12 m water equivalent per day and show that our assimilation method has a higher performance than reference mass balance models.