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.

Data sets

Glacier mass balance stake readings and videos from automated real-time cameras in summer 2019 Johannes Marian Landmann https://doi.org/10.3929/ethz-b-000508515

Video supplement

Time lapse video melt at Holfuy station RHO-1 Johannes Marian Landmann https://doi.org/10.5446/48820

Time lapse video melt at Holfuy station RHO-2 Johannes Marian Landmann https://doi.org/10.5446/48821

Time lapse video melt at Holfuy station RHO-3 Johannes Marian Landmann https://doi.org/10.5446/48822

Time lapse video melt at Holfuy station RHO-4 Johannes Marian Landmann https://doi.org/10.5446/48823

Time lapse video melt at Holfuy station FIN-1 Johannes Marian Landmann https://doi.org/10.5446/48824

Time lapse video melt at Holfuy station FIN-2 Johannes Marian Landmann https://doi.org/10.5446/48825

Time lapse video melt at Holfuy station PLM-1 Johannes Marian Landmann https://doi.org/10.5446/48826

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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.