Absolute Dynamic Topography : corrected Nemo-Nordic Model for the Baltic SeaJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu2023 https://doi.org/10.17882/96784

Accurate sea surface heights from Sentinel-3A and Jason-3 retrackers by incorporating high-resolution marine geoid and hydrodynamic modelsMostafavi, Majid; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuJournal of geodetic science2021 / p. 58-74 https://doi.org/10.1515/jogs-2020-0120 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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 / 1 p 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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Examining mean dynamic topography using geodetic and oceanographic approaches for the Baltic SeaJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Session 1 - Planet Ocean and Geodesy2022 / 2 p https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/66B785FC-3925-ED11-84B6-00155D0B0940.pdf https://www.conferencemanager.dk/nkg-2022/sessions

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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

Quantification of hydrodynamic model sea level bias utilizing deep learning and synergistic integration of data sourcesJahanmard, Vahidreza; Hordoir, Robinson; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuOcean modelling2023 / art. 102286 : ill., map https://doi.org/10.1016/j.ocemod.2023.102286 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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

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

Towards realistic dynamic topography from coast to offshore by incorporating hydrodynamic and geoid modelsJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuOcean modelling2022 / art. 102124 https://doi.org/10.1016/j.ocemod.2022.102124 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS