Space Geodesy at EGU2023
From 23–28 April 2023 the European Geoscience Union General Assembly (EGU2023) took place in Vienna and online. The Space Geodesy group was well represented with a lot of presentations as main- or co-author.
It was great to be at EGU2023 in person. We enjoyed the time in Vienna that made it possible to meet colleagues and discuss our work.
Additionally, for the second time the short course "Geodesy 101" was organized where basic geodetic concepts were introduced.
Here is the list of our presentations:
Space Geodesy as main-author
- external page A machine learning approach to recover GRACE-B accelerometer data - Behzadpour et al.
- external page Forecasting of tropospheric parameters using meteorological data and machine learning - Crocetti et al.
- external page Land motion in Europe imaged by GNSS - Hübner et al.
- external page Improving the accuracy of rapid Earth Orientation Parameters with the "ResLearner" machine learning method - Kiani Shahvandi et al.
- external page Machine learning for global modeling of the ionosphere based on multi-GNSS data - Mao et al.
- external page Troposphere Monitoring Based on Crowdsourced Smartphone GNSS Data - Pan et al.
- external page Active mitigation of spaceborne radio frequency interference for VLBI - Schartner et al.
Space Geodesy as co-author
- external page Maize and wheat yield forecasting in the Pannonian Basin using extreme gradient boosting and its performance in years of severe drought - Bueechi et al.
- external page 3D ground and space-based ray tracing tomography model – methodology and implementation - Cegla et al.
- external page A data service for global groundwater and terrestrial water storage variations based on satellite gravimetry - Dahle et al.
- external page In situ chemical composition and density measurements of Earth’s thermosphere, exosphere, and ionosphere with CHESS - Fausch et al.
- external page COST-G: release of GRACE-FO RL02 combination - Jaeggi et al.
- external page G3P: A global data set of groundwater storage variations based on satellite gravimetry - Sharifi et al.
- external page Achievements of the Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC) - Śliwińska et al.