Benveniste J., Dinardo S., Fenoglio-Marc L., Buchhaupt C., Scagliola M., Passaro M., Nielsen K., Restano M., Ambrozio A., Sabatino G., Orrù C., Abis B.
SAR, SARin, RDSAR and FF-SAR Altimetry Processing on Demand for Cryosat-2, Sentinel-3 & Sentinel-6 at ESA's Altimetry Virtual Lab
Proceedings of IAHS
2024
385
457-463

Zelensky N. P., Lemoine F. G., Zeitlhöfler J., Bloßfeld M., Yang X.
TOPEX/Poseidon spacecraft body and solar array quaternions, version 01A (data)
Zenodo
2024
Mar

Zeitlhöfler J., Bloßfeld M., Lemoine F. G., Seitz F.
Quality assessment of the nominal attitude model of TOPEX/Poseidon using quaternion data
Advances in Space Research
2024

Oelsmann, Julius; Passaro, Marcello; Sanchez, Laura; Dettmering, Denise; Schwatke, Christian; Seitz, Florian
Piecewise trends and discontinuities in GNSS and SATTG time series (data)
This dataset contains estimates of piecewise trends and discontinuities in vertical land motion (VLM) time series. The time series are based on two techniques, the Global Navigation Satellite System (GNSS) and differences of satellite altimetry and tide gauge measurements (SATTG). SATTG data are based on monthly PSMSL tide gauge observations (Permanent Service for Mean Sea Level, Holgate et al. [2013]) and multi-mission satellite altimetry from DGFI-TUM. The coastal along-track altimetry SLA data feature latest corrections and adjustments, as well as coastal retracking (using the ALES retracker (Passaro et al., 2014)). The GNSS time series are obtained from the Nevada Geodetic Laboratory (NGL) of the University of Nevada (Blewitt et al. [2016], http://geodesy.unr.edu). This dataset contains information of piecewise trends, uncertainties, as well as discontinuity epochs and sizes in 606 SATTG and 381 GNSS time series. These parameters are estimated with a Bayesian change point detection method (DiscoTimeS), as described in ‘Bayesian modelling of piecewise trends and discontinuities to improve the estimation of coastal vertical land motion’.
2022

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)
The Hourly Coastal water levels with Counterfactual (HCC) dataset provides coastal water levels to be used as input data for ISIMIP3a (www.isimip.org, Frieler et al. 2023). The dataset describes relative and geocentric historical coastal water levels, utilizing data from several specialized sources. It incorporates reconstructed water level data from the Hybrid Reconstructions (HR) dataset by Dangendorf et al. (2019), which describes the long-term evolution of historical water levels. Vertical land motion information is provided by Oelsmann et al. (2023), adding crucial details about changes in land elevation. The dataset also integrates a reanalysis of hourly variations in water levels caused by wind, air pressure, and astronomical tides, as detailed in the Coastal Dataset for the Evaluation of Climate Impact (CoDEC) by Muis et al. (2020). A counterfactual scenario is derived by removing the quadratic trend observed in sea levels from 1900 to 2015. This results in a hypothetical condition where the sea level has been stationary since 1900. When referring to the HCC dataset, the paper Treu et al. (2023) https://doi.org/10.5194/essd-2023-112 should be cited.
2023

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

Treu S., Muis S., Dangendorf S., Wahl T., Oelsmann J., Heinicke S., Frieler K., Mengel M.
Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
Earth System Science Data
2024
16
2
Feb
1121-1136

Liu Q., Schmidt M., Sánchez L., Moisés L., Cortez D.
High-resolution regional gravity field modeling in data-challenging regions for the realization of geopotential-based height systems
Earth, Planets and Space
2024
76
1
Feb

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