• 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 https://www.scopus.com/sourceid/21100205502 https://www.scopus.com/record/display.uri?eid=2-s2.0-85115882789&origin=inward&txGid=f97e4ca937ed7559027dbb0ec427fd31 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=EUR%20J%20REMOTE%20SENS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000702682000001
• 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 https://fsc-cloud46.segi.ulg.ac.be/PresentationManager/colloquium/2023/abstracts/2023-01-26_16:01:11_IP_193.40.244.205.pdf
• 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 https://www.scopus.com/sourceid/86430 https://www.scopus.com/record/display.uri?eid=2-s2.0-85153755775&origin=inward&txGid=3a5e9cbc866d743438989fecb68c5481 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=REMOTE%20SENS-BASEL&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:000978867000001
• 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 https://www.scopus.com/sourceid/110327 https://www.scopus.com/record/display.uri?eid=2-s2.0-85164237790&origin=inward&txGid=ab1587637a95cc34718ff33707b7fd85 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=COMPUT%20GEOSCI-UK&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001028982100001
• 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 https://www.scopus.com/sourceid/28439 https://www.scopus.com/record/display.uri?eid=2-s2.0-85150712735&origin=inward&txGid=a16cca67dd71c39dd1a43c55b2f9d3f5 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=J%20GEODESY&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:000949356500001
• 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
• The potential of SWOT altimetry data for validating the accuracy of marine geoidmodels in the Baltic SeaKupavõh, Aleksei; Ellmann, Artu; Delpeche-Ellmann, Nicole Camille; Varbla, SanderGGHS2024 : Gravity, Geoid and Height Systems : Book of Abstracts2024 / p. 18-19 https://www.gghs2024.com/appsnfiles/go/boa/Book-of-Abstracts.pdf?v=1725460868
• 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 https://www.scopus.com/sourceid/26817 https://www.scopus.com/record/display.uri?eid=2-s2.0-85105267400&origin=inward&txGid=87cd76fdef2e1090b1e46eec52c76dc5 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=CONT%20SHELF%20RES&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000663430300002
• 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 https://fsc-cloud46.segi.ulg.ac.be/PresentationManager/colloquium/2023/abstracts/2023-01-25_21:01:49_IP_217.136.175.23.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
• Satellite altimetry and hydrodynamic model derived accurate dynamic topography utilizing Marine Geoid Model in Baltic Sea (2017-2019)Mostafavi, Majid2022 https://doi.org/10.17882/94461
• 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 https://www.scopus.com/sourceid/86430 https://www.scopus.com/record/display.uri?eid=2-s2.0-85130531339&origin=inward&txGid=1d468e0a2529e20b9b7870bc18aeda04 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=REMOTE%20SENS-BASEL&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000802556300001