• Absolute Dynamic Topography : corrected Nemo-Nordic Model for the Baltic SeaJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu2023 https://doi.org/10.17882/96784
• Applying machine learning with satellite altimetry data for prediction of absolute dynamic topography for the Baltic SeaMostafavi, Majid; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / 26 l. https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.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 https://www.scopus.com/sourceid/28352 https://www.scopus.com/record/display.uri?eid=2-s2.0-85177483669&origin=inward&txGid=3a64aef42b149cf6dbab6aa03afebadd https://jcr.clarivate.com/jcr-jp/journal-profile?journal=OCEAN%20MODEL&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001119092700001
• 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