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

Absolute dynamic topography through synergizing sea level data sources utilizing a common and stable reference surfaceJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuXXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)2023 https://doi.org/10.57757/IUGG23-1756

Application of deep conditional generative adversarial networks to fill the gaps of satellite altimetry-based absolute dynamic topographyJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuXXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)2023 / 1 p https://doi.org/10.57757/IUGG23-1627

Assessment of hydrodynamic model sea level performance through Geoid-Referenced Tide-Gauge and Satellite Altimetry : posterJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuLiving Planet Symposium (LPS22)2022 / 1 p https://www.lps22.eu/

Barotropic trends through the Barents Sea opening for the period 1975–2021Jahanmard, Vahidreza; Löptien, Ulrike; Sandø, Anne Britt; Gierisch, Andrea M. U.; Dietze, Heiner; Lien, Vidar; Delpeche-Ellmann, Nicole Camille; Hordoir, RobinsonJournal of Geophysical Research: Oceans2025 / art. e2024JC021663 https://doi.org/10.1029/2024JC021663

Comparison of dynamic topography bias in HIROMB and NEMO-Nordic model by utilizing marine geoidJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuGeophysical research abstracts2020 / p. EGU2020-20134 https://doi.org/10.5194/egusphere-egu2020-20134

Deeper insights into the validation of hydrodynamic models using a synergy of  remote sensing dataDelpeche-Ellmann, Nicole Camille; Varbla, Sander; Jahanmard, Vahidreza; Ellmann, ArtuBaltic Earth Workshop Climate projections and uncertainties in the northern Baltic Sea region, Helsinki, Finland, 19-20 November, 2019 : Programme, Abstracts, Participants2019 / p. 14-15

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

Development of continuous dynamic vertical reference for maritime and offshore engineering by applying geodetic and machine learning strategiesEllmann, Artu; Delpeche-Ellmann, Nicole Camille; Varbla, Sander; Rajabi Kiasari, Saeed; Jahanmard, Vahidreza; Kupavõh, AlekseiEGU General Assembly 20252025 / art. EGU25-20596 https://doi.org/10.5194/egusphere-egu25-20596

Development of synergized method to determine accurate sea level using satellite altimetry and high-resolution geoid modelJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuGeodesy for a Sustainable Earth, Scientific Assembly of the International Association of Geodesy : abstract book2021 / S5-053 https://mm.sciconf.cn/en/minisite/poster-detail-new/1646?poster_id=1563486 https://files.sciconf.cn/upload/file/20210626/20210626085039_69146.pdf

Developments towards deriving realistic dynamic topography by synergizing high-resolution geoid with sea level data = Merepinna realistliku dünaamilise topograafia saavutamine täppisgeoidi ja meretaseme andmestike kooskasutamiselJahanmard, Vahidreza2024 https://www.ester.ee/record=b5649955*est https://digikogu.taltech.ee/et/Item/3cfc4a1d-ff3c-4366-b26b-86571453f628 https://doi.org/10.23658/taltech.3/2024

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

Fourier neural operators for emulating ocean models : Towards a knowledge-driven machine learningJahanmard, Vahidreza; Ellmann, Artu; Delpeche-Ellmann, Nicole CamilleEGU General Assembly 20252025 / art. EGU25-4354 https://doi.org/10.5194/egusphere-egu25-4354

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 coastal dynamic topography by a synergy of satellite altimetry data and marine geoidEllmann, Artu; Jahanmard, Vahidreza; Varbla, Sander; Mostafavi, Majid; Delpeche-Ellmann, Nicole CamilleLiving Planet Symposium (LPS22)2022 / 1 p https://www.lps22.eu/

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

Realizing the European Vertical Reference System using model-based hydrodynamic leveling dataAfrasteh, Yosra; Slobbe, D. Cornelis; Sacher, Michael; Verlaan, Maarten G.; Jahanmard, Vahidreza; Klees, Robert F.; Guarneri, Henrique; Keyzer, L.; Pietrzak, Jurek R.; Snellen, Martin; Zijl, FirmijnJournal of geodesy2023 / art. 86 https://doi.org/10.1007/s00190-023-01778-2 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

Retrieval of directional power spectral density and wave parameters from airborne LiDAR point cloudJahanmard, Vahidreza; Varbla, Sander; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuOcean engineering2022 / art. 112694 https://doi.org/10.1016/j.oceaneng.2022.112694 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

Validation of conventional and retracked Sentinel-3 observations along the Norwegian coastMostafavi, Majid; Jahanmard, Vahidreza; Rajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / 27 l. https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf