16 citations as recorded by crossref.

1. Sea level prediction using ARIMA, SVR and LSTM neural network: assessing the impact of ensemble Ocean-Atmospheric processes on models’ accuracy A. Balogun & N. Adebisi https://doi.org/10.1080/19475705.2021.1887372
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3. Impact of Altimeter Data Processing on Sea Level Studies M. Fernandes et al. https://doi.org/10.3390/s6030131
4. Vertical land motion in the Iberian Atlantic coast and its implications for sea level change evaluation V. Mendes et al. https://doi.org/10.1515/jag-2020-0012
5. Optimal time alignment of tide‐gauge tsunami waveforms in nonlinear inversions: Application to the 2015 Illapel (Chile) earthquake F. Romano et al. https://doi.org/10.1002/2016GL071310
6. Application and Comparison of Robust Linear Regression Methods for Trend Estimation A. Muhlbauer et al. https://doi.org/10.1175/2009JAMC1851.1
7. Advances in estimating Sea Level Rise: A review of tide gauge, satellite altimetry and spatial data science approaches N. Adebisi et al. https://doi.org/10.1016/j.ocecoaman.2021.105632
8. Clues from joint inversion of tsunami and geodetic data of the 2011 Tohoku-oki earthquake F. Romano et al. https://doi.org/10.1038/srep00385
9. Quantile trends in Baltic sea level S. Barbosa https://doi.org/10.1029/2008GL035182
10. The Role of GNSS Vertical Velocities to Correct Estimates of Sea Level Rise from Tide Gauge Measurements in Greece S. Bitharis et al. https://doi.org/10.1080/01490419.2017.1322646
11. Machine learning models applied to altimetry era tide gauge and grid altimetry data for comparative long-term trend estimation: A study from Shikoku Island, Japan M. Erkoç & U. Doğan https://doi.org/10.1016/j.apor.2024.104132
12. Multi-scale variability patterns in NCEP/NCAR reanalysis sea-level pressure S. Barbosa et al. https://doi.org/10.1007/s00704-008-0042-4
13. Characteristics of intra-, inter-annual and decadal sea-level variability and the role of meteorological forcing: the long record of Cuxhaven S. Dangendorf et al. https://doi.org/10.1007/s10236-013-0598-0
14. Spatio-temporal variability of the wet component of the troposphere – Application to satellite altimetry E. Vieira et al. https://doi.org/10.1016/j.asr.2018.11.015
15. Source of the 6 February 2013 Mw = 8.0 Santa Cruz Islands Tsunami F. Romano et al. https://doi.org/10.5194/nhess-15-1371-2015
16. A review of trend models applied to sea level data with reference to the “acceleration‐deceleration debate” H. Visser et al. https://doi.org/10.1002/2015JC010716