activity
20172022
most citedSTAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields

47 citations · 92 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CG2022

Minimum-Error Triangulations for Sea Surface Reconstruction

Anna Arutyunova, Anne Driemel, Jan-Henrik Haunert +6

We apply state-of-the-art computational geometry methods to the problem of reconstructing a time-varying sea surface from tide gauge records. Our work builds on a recent article by…

physics.geo-ph2020★ 6 cited

Potential and scientific requirements of optical clock networks for validating satellite gravity missions

Stefan Schröder, Simon Stellmer, Jürgen Kusche

The GRACE and GRACE-FO missions have provided an unprecedented quantification of large-scale changes in the water cycle. However, it is still an open problem of how these missions'…

cs.CV2018

Ocean Eddy Identification and Tracking using Neural Networks

Katharina Franz, Ribana Roscher, Andres Milioto +2

Global climate change plays an essential role in our daily life. Mesoscale ocean eddies have a significant impact on global warming, since they affect the ocean dynamics, the energ…

cs.CV2017★ 39 cited

Sea Level Anomaly Prediction using Recurrent Neural Networks

Anne Braakmann-Folgmann, Ribana Roscher, Susanne Wenzel +2

Sea level change, one of the most dire impacts of anthropogenic global warming, will affect a large amount of the world's population. However, sea level change is not uniform in ti…

physics.ao-ph2017★ 47 cited

STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields

Ribana Roscher, Bernd Uebbing, Jürgen Kusche

Satellite radar altimetry is one of the most powerful techniques for measuring sea surface height variations, with applications ranging from operational oceanography to climate res…