Publications

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31 to 36 of 67

23JUL 2024
Publications
Out-of-the-box calving-front detection method using deep learning
Glaciers across the globe react to the changing climate. Monitoring the transformation of glaciers is essential for projecting their contribution to global mean sea level rise. The delineation of glacier-calving fronts is an important part of the satellite-based monitoring process. This work presents a calving-front extraction method based on the deep learning framework nnU-Net, which […]
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19JUN 2024
Allgemein
Workshop on ‘How to give a good talk’
We organized a one-day workshop on ‘How to give a good talk’. The workshop covered various topics from Stage fright over Body Language to Humor in talks. The participants benefited a lot from the intensive feedback they received from their colleagues and the trainer. Thank you again, Nae, for the great workshop!
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12JUN 2024
Publications
A Drifting and Blowing Snow Scheme in the Weather Research and Forecasting Model
Transport of snow by the wind can have high impact on local glacier mass changes as it leads to non-uniform amounts of snow on the ground. In order to simulate and better understand this process we introduce a new modeling framework that is included into the widely used atmospheric ‘Weather Research and Forecasting (WRF)’ model. […]
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10JUN 2024
Event
Fieldwork at Aletsch Glacier Part 2 (May 2024)
As a continuation of the expedition to the Aletsch Glacier in winter 2024, a group of researchers conducted a second expedition in May as part of the M3OCCA program. The group aimed to gather GPR CMP data at three different locations of the accumulation area of the Aletsch Glacier. Snow pits were dug near CMP […]
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10JUN 2024
Event
Fieldwork at Aletsch Glacier February/March 2024
At the end of February, a large field campaign with various measurement instruments from different research groups took place at the Aletsch Glacier. The group consisted of scientists and technicians from FAU Erlangen, different DLR institutes (HR, OS, DFD), Technical University Munich, Bavarian Academy of Sciences, the institute for snow and avalanche research (SLF), Ulm […]
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29MAY 2024
Publications
Supraglacial Lake Evolution over Northeast Greenland Using Deep Learning Methods
Supraglacial lakes in Greenland are highly dynamic hydrological features in which glacial meltwater cumulates, allowing for the loss and transport of freshwater from a glacial surface to the ocean or a nearby waterbody. Standard supraglacial lake monitoring techniques, specifically image segmentation, rely heavily on a series of region-dependent thresholds, limiting the adaptability of the algorithm […]Supraglacial lakes in Greenland are highly dynamic hydrological features in which glacial meltwater cumulates, allowing for the loss and transport of freshwater from a glacial surface to the ocean or a nearby waterbody. Standard supraglacial lake monitoring techniques, specifically image segmentation, rely heavily on a series of region-dependent thresholds, limiting the adaptability of the algorithm […]
Read more about Supraglacial Lake Evolution over Northeast Greenland Using Deep Learning Methods