Oelsmann J., Marcos M., Passaro M., Sanchez L., Dettmering D., Dangendorf S., Seitz F.
Data supplement to 'Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150' (data)
2023

Treu S., Muis S., Dangendorf D., Wahl T., Oelsmann J., Heinicke S., Frieler K., Mengel M.
Hourly Coastal water levels with Counterfactual (HCC) (data)
2023

Schlembach F.
Development of a Novel Coastal Retracking Algorithm for SAR Satellite Altimetry
Dissertation
2023

Lalgudi Gopalakrishnan G.
Ionosphere electron density modelling using a constrained optimization approach,
Dissertation, Technische Universität München
2023

Pavlis E.C., Pearlman M.R., Carabajal C.C., Ricklefs R., Schwatke C., Wilkinson M., Kirchner G., Luceri V., Otsubo T., Torre J.-M., Schreiber U., Kucharski D., Courde C., Blossfeld M., Ventura-Traveset J., Delva P., Merkowitz S.M., Sherwood R., Rodriguez J., Couhert A., Lemoine F.
International Laser Ranging Service (ILRS)
Reports 2019-2023 of the International Association of Geodesy (IAG), Travaux de l'AIG
2023
Volume 43
Jul

Glomsda M., Seitz M., Bloßfeld M., Angermann D.
Investigating the datum parameters of new solutions by IVS AC DGFI-TUM
In: Haas, Rüdiger; Schroth, Eva; Neidhardt, Alexander (Eds.); Proceedings of the 26th European VLBI Group for Geodesy and Astrometry Working Meeting
2023

Schwatke C., Dettmering D., Passaro M., Hart-Davis M.G., Scherer D., Müller F.L., Bosch W., Seitz F.
OpenADB: DGFI‐TUM's Open Altimeter Database
Geoscience Data Journal
2023
Dec

Costa S.M., Sánchez L., Piñón D., Tarrio-Mosquera J.A., Guimarães G., Gómez D., Drewes H., Mackern-Oberti M.V., Antokoletz E.D., de Matos A.C.O.C., Blitzkow D., da Silva A., Inzunza J., España D., Rodríguez O., Rozas-Bornes S., Guagni H., González G., Paucar-Llaja O., Pampillón J.M., Alvarez-Calderón A.
Status of the SIRGAS Reference Frame: Recent Developments and New Challenges
International Association of Geodesy Symposia
2023

Natras R., Soja B., Schmidt M.
Uncertainty Quantification for Machine Learning-Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting
Space Weather
2023

Hauk M., Wilms J., Sulzbach R., Panafidina N., Hart-Davis M., Dahle C., Müller V., Murböck M., Flechtner F.
Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide Models
Earth and Space Science
2023
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