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 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 : Bonn, 23-27 May 20222022 / 1 p https://express.converia.de/frontend/index.php?page_id=22633&additions_conferenceschedule_action=detail&additions_conferenceschedule_controller=paperList&pid=67257&hash=059b7410747f987290de47d36b5b6df4330fe4bcc6b23cd94277df52d3471105 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 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 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 Realistic coastal dynamic topography by a synergy of satellite altimetry data and marine geoid : [poster}Ellmann, Artu; Jahanmard, Vahidreza; Varbla, Sander; Mostafavi, Majid; Delpeche-Ellmann, Nicole CamilleLiving Planet Symposium : Bonn, 23-27 May 20222022 / 1 p https://express.converia.de/frontend/index.php?page_id=22743&additions_conferenceschedule_action=detail&additions_conferenceschedule_controller=paperList&pid=67137&hash=a1163e52ec54485b30c276db107fa5d86c2ef04bebfeda3ddc6f3cced2129ff8 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 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