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Regionalizing the sea-level budget with machine learning techniques. <i>Ocean Sci. 19</i>: 17-41. <a href=\"https://dx.doi.org/10.5194/os-19-17-2023\" target=\"_blank\">https://dx.doi.org/10.5194/os-19-17-2023</a>","AutID":426573,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":365487,"RR":"<b>Meli, M.; Camargo, C.M.L.; Olivieri, M.; Slangen, A.B.A.; Romagnoli, C.</b> (2023). Sea-level trend variability in the Mediterranean during the 1993–2019 period. <i>Front. Mar. Sci. 10</i>: 1150488. <a href=\"https://dx.doi.org/10.3389/fmars.2023.1150488\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2023.1150488</a>","AutID":426573,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":381541,"RR":"<b>van Hespen, R.; van Bijsterveldt, C.E.J.; Camargo, C.M.L.; Stoorvogel, M.; Bouma, T.</b> (2023). How can nature protect people against sea-level rise? <i>Front. Ecol. Evol. 11</i>: 910803. <a href=\"https://dx.doi.org/10.3389/frym.2023.910803\" target=\"_blank\">https://dx.doi.org/10.3389/frym.2023.910803</a>","AutID":426573,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":356027,"RR":"<b>Camargo, C.M.L.; Riva, R.E.M.; Hermans, T.H.J.; Slangen, A.B.A.</b> (2022). Trends and uncertainties of mass-driven sea-level change in the satellite altimetry era. <i>Earth System Dynamics 13(3)</i>: 1351-1375. <a href=\"https://dx.doi.org/10.5194/esd-13-1351-2022\" target=\"_blank\">https://dx.doi.org/10.5194/esd-13-1351-2022</a>","AutID":426573,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":349364,"RR":"<b>Hermans, T.H.J.; Katsman, C.A.; Camargo, C.M.L.; Garner, G.G.; Kopp, R.E.; Slangen, A.B.A.</b> (2022). The effect of wind stress on seasonal sea-level change on the Northwestern European Shelf. <i>J. Clim. 35(6)</i>: 1745-1759. <a href=\"https://dx.doi.org/10.1175/jcli-d-21-0636.1\" target=\"_blank\">https://dx.doi.org/10.1175/jcli-d-21-0636.1</a>","AutID":426573,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":332487,"RR":"<b>Azevedo, C.C.; Camargo, C.M.L.; Alves, J.; Caldeira, R.M.A.</b> (2021). Convection and heat transfer in island (warm) wakes. <i>J. Phys. Oceanogr. 51(4)</i>: 1187-1203. <a href=\"https://doi.org/10.1175/jpo-d-20-0103.1\" target=\"_blank\">https://doi.org/10.1175/jpo-d-20-0103.1</a>","AutID":426573,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":329882,"RR":"<b>Camargo, C.M.L.; Riva, R.E.M.; Hermans, T.H.J.; Slangen, A.B.A.</b> (2020). Exploring sources of uncertainty in steric sea‐level change estimates. <i>JGR: Oceans 125(10)</i>: e2020JC016551. <a href=\"https://dx.doi.org/10.1029/2020jc016551\" target=\"_blank\">https://dx.doi.org/10.1029/2020jc016551</a>","AutID":509724,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1}],"ThesisSupervised":[{"BRefID":350491,"RR":"<b>Andrawina, Y</b> (2021). Present-Day Sea-Level Change Along The South American Atlantic Coastline From Tide Gauges And Satellite Altimetry Data (1993-2019)\r\n\r\n. MSc Thesis. NIOZ Royal Netherlands Institute for Sea Research: Yerseke. 60 pp.","MonDate":2021,"PeerRev":0,"Role":"Co-ordinator"},{"BRefID":350494,"RR":"<b>Schütt, E.</b> (2021). Identifying the causal network of sea level variability domains in the Southeast Pacific.\r\nAn application of satellite altimetry\r\n. Thesis. 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