Papers/Reports 2023

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 | 1997 | 1996 | 1995 | 1994 |

Andersen O.B., Rose S.K., Hart-Davis M.G.: Polar Ocean Tides - Revisited Using Cryosat-2. Remote Sensing, 15(18), 4479, 10.3390/rs15184479, 2023 (Open Access)
Angermann D., Pail R., Seitz F., Hugentobler U.: The importance of geodetic reference frames – A uniform basis to tackle current and future challenges. GIM International, 37(7), 43-45, 2023
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, 10.1007/1345_2023_227, 2023 (Open Access)
Delva P., Altamimi Z., Blazquez A., Bloßfeld M., Böhm J., Bonnefond P., Boy J.-P., Bruinsma S., Bury G., Chatzinikos M., Couhert A., Courde C., Dach R., Dehant V., Dell’Agnello S., Elgered G., Enderle W., Exertier P., Glaser S., Haas R., Huang W., Hugentobler U., Jäggi A., Karatekin O., Lemoine F. G., Le Poncin-Lafitte C., Lunz L., Männel B., Mercier F., Métivier L., Meyssignac B., Müller J., Nothnagel A., Perosanz F., Rietbroek R., Rothacher M., Schuh H., Sert H., Sosnica K., Testani P., Ventura-Traveset J., Wautelet G., Zajdel R.: GENESIS: co-location of geodetic techniques in space. Earth, Planets and Space, 10.1186/s40623-022-01752-w, 2023 (Open Access)
Dettmering D.: Working Group 'NRT DORIS data' . In: Soudarin L., Ferrage P. (Eds.), International DORIS Service Activity Report 2021, 10.24400/312072/i02-2023.001, 2023
Dettmering D., Schrama E.J.O.: Preface: New Results from DORIS for Science and Society. Advances in Space Research, 10.1016/j.asr.2023.04.027, 2023
Dettmering D., Schwatke C.: Comparison of different methods to account for the plasmaspheric electron content in GNSS-derived ionospheric altimeter corrections and their impact on sea level trend estimation. Earth, Planets and Space, 75(7), 10.1186/s40623-023-01764-0, 2023 (Open Access)
Dettmering D., Wang N.: Using near-real-time DORIS data for validating real-time GNSS ionospheric maps. IDS Newsletter 10, https://ids-doris.org/images/documents/newsletters/IDS-Newsletter10.pdf, 2023
Ehlers F., Schlembach F., Kleinherenbrink M., Slobbe C.: Validity assessment of SAMOSA retracking for fully-focused SAR altimeter waveforms. Advances in Space Research, 71(3), 1377-1396, 10.1016/j.asr.2022.11.034, 2023 (Open Access)
Glomsda M., Seitz M., Angermann D.: Comparison of Simultaneous VGOS and Legacy VLBI Sessions. In: Kyla L. Armstrong, Dirk Behrend, and Karen D. Baver (Eds.), IVS 2022 General Meeting Proceedings, 2023
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
Glomsda M., Seitz M., Bloßfeld M., Seitz F.: Effects of non-tidal loading applied in VLBI-only terrestrial reference frames. Journal of Geodesy, 97(8), 10.1007/s00190-023-01766-6, 2023 (Open Access)
Halicki M., Schwatke C., Niedzielski T.: The impact of the satellite ground track shift on the accuracy of altimetric measurements on rivers: A case study of the Sentinel-3 altimetry on the Odra/Oder River. Journal of Hydrology, 128761, 10.1016/j.jhydrol.2022.128761, 2023 (Open Access)
Hart-Davis M., Howard S., Ray R., Andersen O., Padman L., Nilsen F., Dettmering D.: Arctic Tidal Constituent Atlas (ArcTiCA) : A database of tide elevation constituents for the Arctic region from 1800 through present day. Arctic Data Center [Data], doi:10.18739/A2D795C4N, 2023 (Open Access)
Hart-Davis M., Laan S., Schwatke C., Backeberg B., Dettmering D., Zijl F., Verlaan M., Passaro M., Seitz F.: Altimetry-derived tide model for improved tide and water level forecasting along the European continental shelf. Ocean Dynamics, 10.1007/s10236-023-01560-0, 2023 (Open Access)
Hart-Davis M., Schwatke C., Dettmering D., Passaro M., Seitz F.: EOT-NECS Ocean Tide Model. SEANOE [Data], 10.17882/94705, 2023 (Open Access)
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, 10(10), 10.1029/2023ea003098, 2023 (Open Access)
Jerez G.O., Hernández-Pajares M., Goss A., Prol F.S., Alves D.B.M., Monico J.F.G., Schmidt M.: Two-way assessment of ionospheric maps performance over the Brazilian region: Global versus regional product. Space Weather, 21, 10.1029/2022SW003252, 2023 (Open Access)
Kehm A., Hellmers H., Bloßfeld M., Dill R., Angermann D., Seitz F., Hugentobler U., Dobslaw H., Thomas M., Thaller D., Böhm J., Schönemann E., Mayer V., Springer T., Otten M., Bruni S., Enderle W.: Combination strategy for consistent final, rapid and predicted Earth rotation parameters. Journal of Geodesy, 97(3), 10.1007/s00190-022-01695-w, 2023 (Open Access)
Kiani Shahvandi M., Dill R., Dobslaw H., Kehm A., Bloßfeld M., Schartner M., Mishra S., Soja B.: Geophysically Informed Machine Learning for Improving Rapid Estimation and Short-Term Prediction of Earth Orientation Parameters. Journal of Geophysical Research: Solid Earth, 128(10), e2023JB026720, 10.1029/2023JB026720, 2023 (Open Access)
Laignel B., Vignudelli S., Almar R., Becker M., Bentamy A., Benveniste J., Birol F., Frappart F., Idier D., Salameh E., Passaro M., Menendez M., Simard M., Turki E.I., Verpoorter C.: Observation of the Coastal Areas, Estuaries and Deltas from Space. Surveys in Geophysics, 10.1007/s10712-022-09757-6, 2023 (Open Access)
Lalgudi Gopalakrishnan G.: Ionosphere electron density modelling using a constrained optimization approach. Dissertation, TUM School of Engineering and Design, München, 2023
Lalgudi Gopalakrishnan G.: Ionosphere electron density modelling using a constrained optimization approach,. Dissertation, Dissertation, Technische Universität München, München, 2023
Liu A., Wang N., Dettmering D., Li Z., Schmidt M., Liang W., Yuan H.: Using DORIS Data for Validating Real-Time GNSS Ionosphere Maps. Advances in Space Research, 10.1016/j.asr.2023.01.050, 2023
Liu Q.: Regional gravity field refinement for geoid height modeling based on the combination of data from various observation techniques. DGK, C 896, Dissertation, Bayerische Akademie der Wissenschaften, München, ISBN 978-3-7696-5308-3, 2023
Magalhaes J.M., Lapa I.G., Santos-Ferreira, A.M., da Silva, J.C.B., Piras F., Moreau T., Amraoui S., Passaro M., Schwatke C., Hart-Davis M., Maraldi C., Donlon C.: Using a Tandem Flight Configuration between Sentinel-6 and Jason-3 to Compare SAR and Conventional Altimeters in Sea Surface Signatures of Internal Solitary Waves. Remote Sensing, 15(2), 392, 10.3390/rs15020392, 2023 (Open Access)
Müller F. L., Paul S., Hendricks S., Dettmering D.: Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery. The Cryosphere, 17(2), 809-825, 10.5194/tc-17-809-2023, 2023 (Open Access)
Natras R., Goss A., Halilovic D., Magnet N., Mulic M., Schmidt M., Weber R.: Regional Ionosphere Delay Models Based on CORS Data and Machine Learning. NAVIGATION: Journal of the Institute of Navigation, 70(3), navi.577, 10.33012/navi.577, 2023 (Open Access)
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, 10.1029/2023SW003483, 2023 (Open Access)
Oelsmann, Julius;Marcos, Marta;Passaro, Marcello;Sanchez, Laura;Dettmering, Denise;Dangendorf, Sönke;Seitz, Florian: Data supplement to 'Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150'. , 10.5281/zenodo.8308347, 2023
Passaro M., Juhl M.-C.: On the potential of mapping sea level anomalies from satellite altimetry with Random Forest Regression. Ocean Dynamics, 73(2), 107-116, 10.1007/s10236-023-01540-4, 2023 (Open Access)
Passaro M., Schlembach F., Oelsmann J., Dettmering D., Seitz F.: Coastal Assessment of Sentinel-6 Altimetry Data during the Tandem Phase with Jason-3. Remote Sensing, 15(17), 4161, 10.3390/rs15174161, 2023 (Open Access)
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, Volume 43, 2023
Rudenko S., Bloßfeld M., Zeitlhöfler J.: DGFI-TUM Associate Analysis Center. In: Soudarin L. and Ferrage P. (Eds.), International DORIS Service Activity Report 2021, 2023
Rudenko S., Dettmering D., Zeitlhöfler J., Alkahal R., Upadhyay D., Bloßfeld M.: Radial orbit errors of contemporary altimetry satellite orbits. Surveys in Geophysics, 44, 705-737, 10.1007/s10712-022-09758-5, 2023 (Open Access)
Rudenko S., Zeitlhöfler J., Bloßfeld M.: DGFI-TUM DSO1 orbits of altimetry satellites TOPEX/Poseidon, Jason-1, Jason-2 and Jason-3 derived from SLR data in the SLRF2014 reference frame (data). Deutsches Geodätisches Forschungsinstitut, Zenodo, 10.5281/zenodo.7441352, 2023 (Open Access)
Sánchez L.: SIRGAS Regional Network Associate Analysis Centre, Technical Report 2022. IGS Technical Report 2022, 10.48350/179297, 2023 (Open Access)
Sánchez L., Wziontek H., Wang Y.M., Vergos G., Timmen L.: Towards an integrated global geodetic reference frame: preface to the special issue on reference systems in physical geodesy. Journal of Geodesy, 97(6), 10.1007/s00190-023-01758-6, 2023 (Open Access)
Scherer D., Schwatke C., Dettmering D., Seitz F.: ICESat-2 river surface slope (IRIS): A global reach-scale water surface slope dataset. Nature Scientific Data, 10(1), 359, 10.1038/s41597-023-02215-x, 2023 (Open Access)
Schlembach F.: Development of a Novel Coastal Retracking Algorithm for SAR Satellite Altimetry. Dissertation, 2023
Schlembach F., Ehlers F., Kleinherenbrink M., Passaro M., Dettmering D., Seitz F., Slobbe C.: Benefits of fully focused SAR altimetry to coastal wave height estimates: A case study in the North Sea. Remote Sensing of Environment, 289, 113517, 10.1016/j.rse.2023.113517, 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, 10.1002/gdj3.233, 2023 (Open Access)
Schwatke C., Halicki M., Scherer D.: High-Resolution Water Surface Slopes from Multi-Mission Satellite Altimetry (data). Zenodo, 10.5281/zenodo.7709474, 2023 (Open Access)
Sehnal M., Angermann D., Sánchez L., Miyahara B.: GGOS Contribution to Promote Geodesy and Increase its Visibility in Science and Society. Österreichische Zeitschrift für Vermessung & Geoinformation, 2023
Seitz M., Bloßfeld M., Angermann D., Glomsda M., Rudenko S., Zeitlhöfler J., Seitz F.: DTRF2020: ITRS 2020 realization of DGFI-TUM (data). Zenodo, 10.5281/zenodo.8220524, 2023 (Open Access)
Sulzbach R., Hart-Davis M.G., Dettmering D., Thomas M.: Regularized Empirical Variance-Covariance-Matrices for stochastic gravity modeling of 8 major ocean tides (data). GFZ Data Services, 10.5880/nerograv.2023.003, 2023 (Open Access)
Treu S., Muis S., Dangendorf D., Wahl T., Oelsmann J., Heinicke S., Frieler K., Mengel M.: Hourly Coastal water levels with Counterfactual (HCC) (data). , 10.48364/ISIMIP.749905, 2023
Zeitlhöfler J., Bloßfeld M., Rudenko S., Dettmering D., Seitz F.: Station-dependent satellite laser ranging measurement corrections for TOPEX/Poseidon. Advances in Space Research, 71(1), 975-996, 10.1016/j.asr.2022.09.002, 2023

Find more topics on the central web site of the Technical University of Munich: www.tum.de