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

Forecasting of absolute dynamic topography by utilizing machinelearning with synergy of satellite altimetry dataDelpeche-Ellmann, Nicole Camille; Rajabi-Kiasari, Saeed; Ellmann, Artu13th Coastal Altimetry Workshop & Coastal Altimetry Training, 6-10 February 2023, Universidad de Cádiz, Spain : abstract2023 / p. 42 https://www.coastalaltimetry.org/NikalWebsitePortal/coastal-altimetry-workshop/esa/ExtraContent/ContentSubPage?page=8&subPage=3

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

Forecasting of Sea Level Extremes using Deep Learning and Extreme Value AnalysisDelpeche-Ellmann, Nicole Camille; Rajabi-Kiasari, Saeed; Soomere, Tarmo; Ellmann, ArtuEGU General Assembly 20252025 / art. EGU25-13350 https://meetingorganizer.copernicus.org/EGU25/EGU25-13350.html https://doi.org/10.5194/egusphere-egu25-13350

Forecasting sea level maxima using machine learning models in the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuInternational Liège Colloquium 2024 : Ocean Extremes2024 / 1 p https://gher-uliege.github.io/liege-colloquium-2024/abstracts/2024-01-26_12:01:45_IP_193.40.250.130.pdf

Instantaneous sea surface height prediction using satellite altimetry and deep learningRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuLiving Planet Symposium (LPS25)2025 https://lps25.esa.int/

Integrating satellite altimetry and deep learning for enhanced sea level forecastingRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuEGU General Assembly 20252025 / art. EGU25-9951 https://meetingorganizer.copernicus.org/EGU25/EGU25-9951.html https://doi.org/10.5194/egusphere-egu25-9951

Machine learning Forecasting of Absolute Dynamic Topography in the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / 36 l. https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

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

Sea level forecasting using deep recurrent neural networks with high-resolution hydrodynamic modelRajabi-Kiasari, Saeed; Ellmann, Artu; Delpeche-Ellmann, Nicole CamilleApplied ocean research2025 / art. 104496 https://doi.org/10.1016/j.apor.2025.104496

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