Applications of airborne laser scanning for determining marine geoid and surface waves propertiesVarbla, Sander; Ellmann, Artu; Delpeche-Ellmann, Nicole CamilleEuropean journal of remote sensing2021 / p. 558−568 https://doi.org/10.1080/22797254.2021.1981156 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

A data-fusion technique for forecasting of absolute sea levels in the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu2023 Machine Learning And Data Analysis In Oceanography, University of Liège, Belgium2023 A data-fusion technique for forecasting of absolute sea levels in the Baltic Sea

Determination of Accurate Dynamic Topography for the Baltic Sea Using Satellite Altimetry and a Marine Geoid ModelMostafavi, Majid; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu; Jahanmard, VahidrezaRemote sensing2023 / art. 2189 https://doi.org/10.3390/rs15082189

Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuComputers & geosciences2023 / art. 105406, 16 p. : ill https://doi.org/10.1016/j.cageo.2023.105406

Iterative data assimilation approach for the refinement of marine geoid models using sea surface height and dynamic topography datasetsVarbla, Sander; Ellmann, ArtuJournal of geodesy2023 / art. 24, 22 p. : ill https://doi.org/10.1007/s00190-023-01711-7

Iterative refinement of regional marine geoid models by using sea surface height and dynamic topography datasetsVarbla, Sander; Ellmann, ArtuGeodesy for a Sustainable Earth, Scientific Assembly of the International Association of Geodesy : abstract book2021 / p. 111 S2a-026 https://files.sciconf.cn/upload/file/20210626/20210626085039_69146.pdf

Machine learning prediction for filling the interruptions of tide gauge data using a least square estimation method from nearest stationsJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuGeodesy for a Sustainable Earth, Scientific Assembly of the International Association of Geodesy : abstract book2021 / S5-030 p. 529 https://mm.sciconf.cn/en/minisite/poster-detail-new/1646?poster_id=1563508 https://files.sciconf.cn/upload/file/20210626/20210626085039_69146.pdf

Realistic dynamic topography through coupling geoid and hydrodynamic models of the Baltic SeaJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuContinental shelf research2021 / art. 104421 https://doi.org/10.1016/j.csr.2021.104421 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Reanalysis of ocean model-based dynamic topography utilizing deep neural network and geoid-referenced observationsJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu2023 Machine Learning And Data Analysis In Oceanography, University of Liège, Belgium2023 / 1 p Reanalysis of ocean model-based dynamic topography utilizing deep neural network and geoid-referenced observations

Reconstruction of dynamic topography using cyclostationary empirical orthogonal functions in the Baltic SeaMostafavi, Majid; Rajabi-Kiasari, Saeed; Jahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / 25 l. https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

Shipborne GNSS-determined sea surface heights using geoid model and realistic dynamic topographyVarbla, Sander; Liibusk, Aive; Ellmann, ArtuRemote sensing2022 / art. 2368, 30 p. : ill https://doi.org/10.3390/rs14102368 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS