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Recent Submissions 

  1. An Ionospheric Forecasting Model Based on Transfer Learning Using High-Resolution Global Ionospheric Maps 

    Mao, Shuyin; Gou, Junyang; Soja, Benedikt (2024)
    EGUsphere
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  2. Developing an Automated Observability System for HPC: Integrating Operational and Energy Datasets 

    Benini, Massimo; Gianolli, Mathilde (2024)
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  3. Assimilating UAV-based GNSS ZTDs for Numerical Weather Predictions 

    Zhang, Zhenyi; Liu, Mengjie; Huber, Valeria; et al. (2024)
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  4. Modelling the mountain boundary layer: Does higher resolution improve model performance? 

    Goger, Brigitta; Dipankar, Anurag (2024)
    The horizontal grid spacing of numerical weather prediction models keeps decreasing towards the hectometric range, where topography, land-use, and other static parameters are well-resolved. Still, models have to be evaluated over complex terrain, because it cannot be assumed that higher horizontal resolution automatically yields better model performance. In this study, we perform limited-area simulations with the ICON model across horizontal ...
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  5. Improving the spatial resolution of global mass changes observed by GRACE(-FO) using deep learning - from terrestrial water to the ocean 

    Gou, Junyang; Börger, Lara; Schindelegger, Michael; et al. (2024)
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  6. Improving the planning of future track interventions using digital tools 

    Mehranfar, Hamed; Adey, Bryan T.; Moghtadernejad, Saviz; et al. (2024)
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  7. Non-line-of-sight GNSS Signal Classification for Urban Navigation Using Machine Learning 

    Pan, Yuanxin; Icking, Lucy; Ruwisch, Fabian; et al. (2024)
    EGUsphere
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  8. Rethinking operational VGOS observations 

    Schartner, Matthias; Petrachenko, Bill; Charlot, Patrick; et al. (2024)
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  9. GGOS: Ensuring a Coherent Earth Observation System 

    Sanchez, Laura; Pearlman, Michael; Angermann, Detlef; et al. (2024)
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  10. A low-cost commercial off-the-shelf GNSS receiver for space 

    Moeller, Gregor; Wolf, Alexander; Sonnenberg, Flavio; et al. (2024)
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  11. Explaining GNSS station movements based on Earth observation data 

    Crocetti, Laura; Schneider, Rochelle; Soja, Benedikt (2024)
    EGUsphere
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  12. Food security in a changing climate - how can Earth observation and machine learning help? 

    Bueechi, Emanuel; Fischer, Milan; Crocetti, Laura; et al. (2024)
    EGUsphere
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  13. Using Machine Learning for identifying TEC signatures related to earthquakes and tsunamis: the 2015 Illapel event case study 

    Fuso, Federica; Ravanelli, Michela; Crocetti, Laura; et al. (2024)
    EGUsphere
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  14. AIRETH 2.0 – a revamped helicopter-borne GPR for glaciological applications 

    Farinotti, Daniel; Moser, Raphael; Anhorn, Barthelemy; et al. (2024)
    EGUsphere
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  15. The influence of gouge formation on seismicity and fault slip behavior 

    Castellano, Miguel; Milanese, Enrico; Cattania, Camilla; et al. (2024)
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  16. Search for a muon EDM at the Paul Scherrer Institute 

    Schmidt-Wellenburg, Philipp; Calzolaio, Ciro; Chakraborty, Ritwika; et al. (2024)
    PoS: Proceedings of Science ~ Muon4Future Workshop
    Electric dipole moments (EDM) of non-degenerate systems with angular momentum violate parity and time symmetry, and by the virtue of the CPT-theorem also the combined symmetry of charge and parity (CP). Although CP violation (CPV) is an established ingredient of the weak sector of the standard model of particle physics (SM), its contribution to an EDM of a fundamental particle is too small to be measured any time soon. Therefore, any ...
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  17. A scenario-based earthquake loss assessment for Basel 

    Imtiaz, Afifa; Papadopoulos, Athanasios N.; Bergamo, Paolo; et al. (2023)
    Abstract Volume 21st Swiss Geoscience Meeting
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  18. The Impact of Subsidies on the Incidence of Training: Evidence from the United States 

    Morlet, Guillaume Maxence Augusti (2024)
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  19. Developing an urban-scale 3D geophysical model for Basel, Switzerland 

    Imtiaz, Afifa; Panzera, Francesco; Halló, Miroslav; et al. (2023)
    EGUsphere
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