| Ultra-short-term prediction of LOD using LSTM neural networks J Gou, M Kiani Shahvandi, R Hohensinn, B Soja Journal of Geodesy 97 (5), 52, 2023 | 14 | 2023 |
| Data driven approaches for the prediction of Earth's effective angular momentum functions MK Shahvandi, J Gou, M Schartner, B Soja IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 12 | 2022 |
| Global high-resolution total water storage anomalies from self-supervised data assimilation using deep learning algorithms J Gou, B Soja Nature Water, 1-12, 2024 | 4 | 2024 |
| The new geodetic prediction center at ETH Zurich B Soja, M Kiani Shahvandi, M Schartner, J Gou, G Kłopotek, L Crocetti, ... EGU General Assembly Conference Abstracts, EGU22-9285, 2022 | 4 | 2022 |
| Operational 14-day-ahead prediction of Earth's effective angular momentum functions with machine learning M Kiani Shahvandi, M Schartner, J Gou, B Soja XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023 | 3 | 2023 |
| RiwiSAR-SWH: A data-driven method for estimating significant wave height using Sentinel-3 SAR altimetry J Gou, MJ Tourian Advances in Space Research 69 (5), 2061-2080, 2022 | 3 | 2022 |
| GRACE-SeDA: A global total water storage anomaly product with a spatial resolution of 0.5 degrees from self-supervised data assimilation J Gou, B Soja ETH Zurich, 2023 | 1 | 2023 |
| Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches J Gou, C Rösch, E Shehaj, K Chen, M Kiani Shahvandi, B Soja, ... Remote Sensing 15 (23), 5585, 2023 | 1 | 2023 |
| Downscaling GRACE-derived ocean bottom pressure anomalies using self-supervised data fusion J Gou, L Börger, M Schindelegger, B Soja arXiv preprint arXiv:2404.05818, 2024 | | 2024 |
| Improving the spatial resolution of global mass changes observed by GRACE (-FO) using deep learning—from terrestrial water to the ocean J Gou, L Börger, M Schindelegger, B Soja EGU24, 2024 | | 2024 |
| An Ionospheric Forecasting Model Based on Transfer Learning Using High-Resolution Global Ionospheric Maps S Mao, J Gou, B Soja EGU24, 2024 | | 2024 |
| Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign J Śliwińska-Bronowicz, T Kur, M Wińska, H Dobslaw, J Nastula, A Partyka, ... Journal of Geodesy 98 (3), 22, 2024 | | 2024 |
| Terrestrial water storage and ground water storage variations: a quantitative analysis of the latest GravIS GRACE/GRACE-FO level 3 data products R Hohensinn, U Meyer, J Gou, M Lasser, B Soja, M Rast AGU Fall Meeting Abstracts, G11B-0430, 2023 | | 2023 |
| Machine learning-based GRACE accelerometer transplant S Behzadpour, J Gou, M Kiani Shahvandi, F Öhlinger, T Mayer-Gürr, ... 21st Swiss Geoscience Meeting (SGM 2023), 2023 | | 2023 |
| Uncertainty quantification in deep learning applied to geodetic problems B Soja, J Gou, M Kiani Shahvandi, R Natras Remote Sensing in Climatology: Essential Climate Variables (ECVs) and their …, 2023 | | 2023 |
| Applications of high-resolution total water storage anomalies from self-supervised data assimilation J Gou, B Soja 28th IUGG General Assembly, 2023 | | 2023 |
| A machine learning approach to recover GRACE-B accelerometer data S Behzadpour, J Gou, M Kiani Shahvandi, F Öhlinger, T Mayer-Gürr, ... EGU General Assembly Conference Abstracts, EGU-13538, 2023 | | 2023 |
| Comparison of machine-learning-based predictions of Earth orientation parameters using different input data B Soja, M Kiani Shahvandi, M Schartner, J Gou Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP …, 2023 | | 2023 |
| EOP predictions collected during the operational phase of the Second Earth Orientation Parameters Prediction Comparison Campaign J Śliwińska, H Dobslaw, T Kur, J Nastula, M Wińska, A Partyka, S Belda, ... GFZ Data Services, 2023 | | 2023 |
| Enhancing the spatial resolution of GRACE ocean bottom pressure using deep learning algorithms J Gou, L Börger, M Schindelegger, B Soja 28th IUGG General Assembly, 2023 | | 2023 |
Benedikt SojaETH ZurichVerified email at ethz.ch
