Articles | Volume 26, issue 4
https://doi.org/10.5194/nhess-26-1767-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-1767-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Apr 2026
Research article |
| 16 Apr 2026
| 16 Apr 2026
Assessing sea level rise and extreme events along the China–Europe Sea Route
CMCC Foundation – Euro-Mediterranean Centre on Climate Change, Lecce, Italy
Robyn Gwee
Marine & Coastal Systems Unit, Deltares, Delft, the Netherlands
Centre for Nature-based Climate Solutions, National University of Singapore, Singapore, Singapore
Department of Biological Sciences, National University of Singapore, Singapore, Singapore
Kun Yan
Marine & Coastal Systems Unit, Deltares, Delft, the Netherlands
Sanne Muis
Marine & Coastal Systems Unit, Deltares, Delft, the Netherlands
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Nadia Pinardi
Department of Physics and Astronomy, University of Bologna, Bologna, Italy
CMCC Foundation – Euro-Mediterranean Centre on Climate Change, Lecce, Italy
Jun She
Department of Weather Research, Danish Meteorological Institute, Copenhagen, Denmark
Martin Verlaan
Marine & Coastal Systems Unit, Deltares, Delft, the Netherlands
Simona Masina
CMCC Foundation – Euro-Mediterranean Centre on Climate Change, Lecce, Italy
Wenshan Li
National Marine Data and Information Service (NMDIS), Tianjin, China
Hui Wang
National Marine Data and Information Service (NMDIS), Tianjin, China
Salvatore Causio
CMCC Foundation – Euro-Mediterranean Centre on Climate Change, Lecce, Italy
Antonio Novellino
ETT SpA, Genova, Italy
Marco Alba
ETT SpA, Genova, Italy
Etiënne Kras
Marine & Coastal Systems Unit, Deltares, Delft, the Netherlands
Sandra Gaytan Aguilar
Marine & Coastal Systems Unit, Deltares, Delft, the Netherlands
Jan-Bart Calewaert
Secretariat of the European Marine Observation and Data Network (EMODnet), Ostend, Belgium
Seascape Belgium, Brussels, Belgium
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Sea-ice volume is characterized by low predictability compared to the sea ice area or the extent. A joint initialization of the thickness and concentration using satellite data could improve the predictive power, although it is still absent in the present global analysis–reanalysis systems. This study shows a scheme to correct the two features together that can be easily extended to include ocean variables. The impact of such a joint initialization is shown and compared among different set-ups.
Leonardo Lima, Salvatore Causio, Mehmet Ilicak, Ronan McAdam, and Eric Jansen
State Planet Discuss., https://doi.org/10.5194/sp-2023-19, https://doi.org/10.5194/sp-2023-19, 2023
Revised manuscript not accepted
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Recent studies have revealed an increase in the ocean temperature and heat content in the Black Sea, where the research on marine heat waves (MHWs) is still incipient. Our study reveals long-lasting MHWs and interesting connections between surface and subsurface MHWs in the Black Sea. Our analysis is a starting point to create a monitoring system of MHWs for the Black Sea.
Giulia Bonino, Simona Masina, Giuliano Galimberti, and Matteo Moretti
Earth Syst. Sci. Data, 15, 1269–1285, https://doi.org/10.5194/essd-15-1269-2023, https://doi.org/10.5194/essd-15-1269-2023, 2023
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We present a unique observational dataset of marine heat wave (MHW) macroevents and their characteristics over southern Europe and western Asian (SEWA) basins in the SEWA-MHW dataset. This dataset is the first effort in the literature to archive extremely hot sea surface temperature macroevents. The advantages of the availability of SEWA-MHWs are avoiding the waste of computational resources to detect MHWs and building a consistent framework which would increase comparability among MHW studies.
Umesh Pranavam Ayyappan Pillai, Nadia Pinardi, Ivan Federico, Salvatore Causio, Francesco Trotta, Silvia Unguendoli, and Andrea Valentini
Nat. Hazards Earth Syst. Sci., 22, 3413–3433, https://doi.org/10.5194/nhess-22-3413-2022, https://doi.org/10.5194/nhess-22-3413-2022, 2022
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The study presents the application of high-resolution coastal modelling for wave hindcasting on the Emilia-Romagna coastal belt. The generated coastal databases which provide an understanding of the prevailing wind-wave characteristics can aid in predicting coastal impacts.
Giulia Bonino, Doroteaciro Iovino, Laurent Brodeau, and Simona Masina
Geosci. Model Dev., 15, 6873–6889, https://doi.org/10.5194/gmd-15-6873-2022, https://doi.org/10.5194/gmd-15-6873-2022, 2022
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The sea surface temperature (SST) is highly influenced by the transfer of energy driven by turbulent air–sea fluxes (TASFs). In the NEMO ocean general circulation model, TASFs are computed by means of bulk formulas. Bulk formulas require the choice of a given bulk parameterization, which influences the magnitudes of the TASFs. Our results show that parameterization-related SST differences are primarily sensitive to the wind stress differences across parameterizations.
Marco Reale, Gianpiero Cossarini, Paolo Lazzari, Tomas Lovato, Giorgio Bolzon, Simona Masina, Cosimo Solidoro, and Stefano Salon
Biogeosciences, 19, 4035–4065, https://doi.org/10.5194/bg-19-4035-2022, https://doi.org/10.5194/bg-19-4035-2022, 2022
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Future projections under the RCP8.5 and RCP4.5 emission scenarios of the Mediterranean Sea biogeochemistry at the end of the 21st century show different levels of decline in nutrients, oxygen and biomasses and an acidification of the water column. The signal intensity is stronger under RCP8.5 and in the eastern Mediterranean. Under RCP4.5, after the second half of the 21st century, biogeochemical variables show a recovery of the values observed at the beginning of the investigated period.
Giorgio Micaletto, Ivano Barletta, Silvia Mocavero, Ivan Federico, Italo Epicoco, Giorgia Verri, Giovanni Coppini, Pasquale Schiano, Giovanni Aloisio, and Nadia Pinardi
Geosci. Model Dev., 15, 6025–6046, https://doi.org/10.5194/gmd-15-6025-2022, https://doi.org/10.5194/gmd-15-6025-2022, 2022
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The full exploitation of supercomputing architectures requires a deep revision of the current climate models. This paper presents the parallelization of the three-dimensional hydrodynamic model SHYFEM (System of HydrodYnamic Finite Element Modules). Optimized numerical libraries were used to partition the model domain and solve the sparse linear system of equations in parallel. The performance assessment demonstrates a good level of scalability with a realistic configuration used as a benchmark.
Xiaohui Wang, Martin Verlaan, Jelmer Veenstra, and Hai Xiang Lin
Ocean Sci., 18, 881–904, https://doi.org/10.5194/os-18-881-2022, https://doi.org/10.5194/os-18-881-2022, 2022
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The accuracy of the Global Tide and Surge Model is significantly affected by some parameters. We correct the bathymetry and bottom friction coefficient with mathematical methods to improve model accuracy. The lack of tide gauge data in many coastal areas affects the correction process. We propose using observations from altimetry tidal products like FES2014 that have higher accuracy than our model to offset the data lack. Model accuracy is greatly improved, especially in the European shelf.
Tuomas Kärnä, Patrik Ljungemyr, Saeed Falahat, Ida Ringgaard, Lars Axell, Vasily Korabel, Jens Murawski, Ilja Maljutenko, Anja Lindenthal, Simon Jandt-Scheelke, Svetlana Verjovkina, Ina Lorkowski, Priidik Lagemaa, Jun She, Laura Tuomi, Adam Nord, and Vibeke Huess
Geosci. Model Dev., 14, 5731–5749, https://doi.org/10.5194/gmd-14-5731-2021, https://doi.org/10.5194/gmd-14-5731-2021, 2021
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We present Nemo-Nordic 2.0, a novel operational marine model for the Baltic Sea. The model covers the Baltic Sea and the North Sea with approximately 1 nmi resolution. We validate the model's performance against sea level, water temperature, and salinity observations, as well as sea ice charts. The skill analysis demonstrates that Nemo-Nordic 2.0 can reproduce the hydrographic features of the Baltic Sea.
Katherine M. Smith, Skyler Kern, Peter E. Hamlington, Marco Zavatarelli, Nadia Pinardi, Emily F. Klee, and Kyle E. Niemeyer
Geosci. Model Dev., 14, 2419–2442, https://doi.org/10.5194/gmd-14-2419-2021, https://doi.org/10.5194/gmd-14-2419-2021, 2021
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We present a newly developed reduced-order biogeochemical flux model that is complex and flexible enough to capture open-ocean ecosystem dynamics but reduced enough to incorporate into highly resolved numerical simulations with limited additional computational cost. The model provides improved correlations between model output and field data, indicating that significant improvements in the reproduction of real-world data can be achieved with a small number of variables.
Giulia Bonino, Elisa Lovecchio, Nicolas Gruber, Matthias Münnich, Simona Masina, and Doroteaciro Iovino
Biogeosciences, 18, 2429–2448, https://doi.org/10.5194/bg-18-2429-2021, https://doi.org/10.5194/bg-18-2429-2021, 2021
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Seasonal variations of processes such as upwelling and biological production that happen along the northwestern African coast can modulate the temporal variability of the biological activity of the adjacent open North Atlantic hundreds of kilometers away from the coast thanks to the lateral transport of coastal organic carbon. This happens with a temporal delay, which is smaller than a season up to roughly 500 km from the coast due to the intense transport by small-scale filaments.
Cited articles
Antony, C., Langodan, S., Dasari, H. P., Abualnaja, Y., and Hoteit, I.: Sea-level extremes of meteorological origin in the Red Sea, Weather and Climate Extremes, 35, 100409, https://doi.org/10.1016/j.wace.2022.100409, 2022.
Bloemendaal, N., de Moel, H., Muis, S., Haigh, I. D., and Aerts, J. C. J. H.: Estimation of global tropical cyclone wind speed probabilities using the STORM dataset, Scientific Data, 7, 1–11, https://doi.org/10.1038/s41597-020-00720-x, 2020.
Borile, F., Pinardi, N., Lyubartsev, V., Ghani, M. H., Navarra, A., Alessandri, J., Clementi, E., Coppini, G., Mentaschi, L., Verri, G., da Costa, V. S., Scoccimarro, E., Misurale, F., Novellino, A., and Oddo, P.: The Eastern Mediterranean Sea mean sea level decadal slowdown: the effects of the water budget, Frontiers in Climate, 7, 1472731, https://doi.org/10.3389/fclim.2025.1472731, 2025.
Brown, S.: Altimetry for coastal applications, in: Coastal Altimetry, edited by: Vignudelli, S., Kostianoy, A. G., Cipollini, P., and Benveniste, J., Springer, Berlin, Heidelberg, 3–25, https://doi.org/10.1007/978-3-642-12796-0_1, 2010.
Cazenave, A. and Moreira, L.: Contemporary sea-level changes from global to local scales: a review, P. R. Soc. A, 478, 20220049, https://doi.org/10.1098/rspa.2022.0049, 2022.
Cazenave, A., Dieng, H. B., Meyssignac, B., von Schuckmann, K., de Araújo, I. F., Ponte, R. M., and Leborgne, P.: The rate of sea-level rise, Nat. Clim. Change, 4, 358–361, https://doi.org/10.1038/nclimate2159, 2014.
Cazenave, A., Ablain, M., Fukumori, I., Goosse, H., Meyssignac, B., von Schuckmann, K., and Watson, C.: The Sea Level in the Emerging Climate System, Rev. Geophys., 56, 741–758, https://doi.org/10.1029/2018RG000600, 2018.
Climate Change Initiative Coastal Sea Level Team: ESA Climate Change Initiative (CCI) Sea Level – Coastal Sea Level product, European Space Agency (ESA), https://climate.esa.int/en/projects/sea-level/ (last access: 9 April 2026), 2020.
Copernicus Climate Data Store: Sea level gridded data from satellite observations for the global ocean from 1993 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2018.
Dangendorf, S., Frederikse, T., Chafik, L., Riva, R., Marcos, M., and Slangen, A. B. A.: Data-driven reconstruction reveals large-scale ocean circulation control on coastal sea level, Nat. Clim. Change, 11, 514–520, https://doi.org/10.1038/s41558-021-01046-1, 2021.
Dube, S. K., Jain, I., Rao, A. D., and Murty, T. S.: Storm surge modelling for the Bay of Bengal and Arabian Sea, Nat. Hazards, 51, 3–27, 2009.
Dullaart, J. C. M., Muis, S., Bloemendaal, N., and Aerts, J. C. J. H.: Advancing global storm surge modelling using the new ERA5 climate reanalysis, Clim. Dynam., 54, https://doi.org/10.1007/s00382-019-05044-0, 2020.
Dullaart, J. C. M., Muis, S., Bloemendaal, N., Chertova, M. V., Couasnon, A., and Aerts, J. C. J. H.: Accounting for tropical cyclones more than doubles the global population exposed to low-probability coastal flooding, Communications Earth and Environment, 2, 1–11, https://doi.org/10.1038/s43247-021-00204-9, 2021.
Ezer, T., Atkinson, L. P., Corlett, W. B., and Blanco, J. L.: Gulf Stream's induced sea level rise and variability along the U. S. mid-Atlantic coast, J. Geophys. Res.-Oceans, 118, 685–697, https://doi.org/10.1002/jgrc.20091, 2013.
Fang, Q., Liu, J., Hong, R., Guo, A., and Li, H.: Experimental investigation of focused wave action on coastal bridges with box girder, Coast. Eng., 165, 103857, https://doi.org/10.1016/j.coastaleng.2021.103857, 2021.
Fernandes, M. J., Lázaro, C., Nunes, A. L., and Scharroo, R.: Atmospheric corrections for altimetry studies over inland water and coastal zones, Remote Sens. Environ., 152, 69–87, https://doi.org/10.1016/j.rse.2014.06.009, 2014.
Han, W., Meehl, G. A., Rajagopalan, B., Fasullo, J. T., Hu, A., Lin, J., Large, W. G., Wang, J., Quan, X.-W., Trenary, L. L., Wallcraft, A., Shinoda, T., and Yeager, S.: Indian Ocean sea level change in a warming climate, Nat. Geosci., 3, 546–550, https://doi.org/10.1038/ngeo901, 2010.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Mu noz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J. N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Huang, L., Zhuang, W., Lu, W., Zhang, Y., Edwing, D., and Yan, X.-H.: Rapid sea level rise in the tropical Southwest Indian Ocean in the recent two decades, Geophys. Res. Lett., 51, e2023GL106011, https://doi.org/10.1029/2023GL106011, 2024.
IPCC: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2391 pp., https://doi.org/10.1017/9781009157896, 2021.
Lewis, M., Bates, P., Horsburgh, K., Neal, J., and Schumann, G.: A storm surge inundation model of the northern Bay of Bengal using publicly available data, Q. J. Roy. Meteor. Soc., 139, 358–369, 2013.
Lin, N. and Emanuel, K.: Grey swan tropical cyclones, Nat. Clim. Change, 6, 106–111, https://doi.org/10.1038/nclimate2777, 2016.
Mori, N. and Shimura, T.: Tropical cyclone-induced coastal sea level projection and the adaptation to a changing climate, Cambridge Prisms: Coastal Futures, 1, e4, https://doi.org/10.1017/cft.2022.6, 2023.
Muis, S., Verlaan, M., Winsemius, H. C., Aerts, J. C. J. H., and Ward, P. J.: A global reanalysis of storm surges and extreme sea levels, Nat. Commun., 7, 11969, https://doi.org/10.1038/ncomms11969, 2016.
Muis, S., Apecechea, M. I., Dullaart, J., de Lima Rego, J., Madsen, K. S., Su, J., Yan, K., and Verlaan, M.: A High-Resolution Global Dataset of Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections, Frontiers in Marine Science, 7, 1–15, https://doi.org/10.3389/fmars.2020.00263, 2020.
Muis, S., Aerts, J. C. J. H., Á. Antolínez, J. A., Dullaart, J., Duong, T. M., Erikson, L., Haarmsa, R., Apecechea, M. I., Mengel, M., Le Bars, D., O'Neill, A., Ranasinghe, R., Roberts, M., Verlaan, M., Ward, P. J., and Yan, K.: Global projections of storm surges using high-resolution CMIP6 climate models, Earth's Future, 11, e2023EF003479, https://doi.org/10.1029/2023EF003479, 2023.
Needham, H. F., Keim, B. D., and Sathiaraj, D.: A review of tropical cyclone-generated storm surges: Global data sources, observations, and impacts, Rev. Geophys., 53, 545–591, https://doi.org/10.1002/2014rg000477, 2015.
Nerem, R. S., Beckley, B. D., Fasullo, J. T., Hamlington, B. D., Masters, D., and Mitchum, G. T.: Climate-change–driven accelerated sea-level rise detected in the altimeter era, P. Natl. Acad. Sci. USA, 115, 2022–2025, 2018.
Park, K., Federico, I., Di Lorenzo, E., Ezer, T., Cobb, K. M., Pinardi, N., and Wang, D.-W.: The contribution of hurricane remote ocean forcing to storm surge along the Southeastern U.S. coast, Coast. Eng., 173, 104098, https://doi.org/10.1016/j.coastaleng.2022.104098, 2022.
Peltier, W. R.: Global Glacial Isostasy and the Surface of the Ice-Age Earth: The ICE-5G (VM2) Model and GRACE, Annu. Rev. Earth Pl. Sc., 32, 111–149, 2004.
Pinardi, N., Bonaduce, A., Navarra, A., Dobricic, S., and Oddo, P.: The mean sea level equation and its application to the mediterranean sea, J. Climate, 27, 442–447, https://doi.org/10.1175/JCLI-D-13-00139.1, 2014.
Pugh, D. and Woodworth, P.: Sea-Level Science: Understanding Tides, Surges, Tsunamis and Mean Sea-Level Changes, Cambridge University Press, Cambridge, https://doi.org/10.1017/CBO9781139235778, 2015.
Qiu, B. and Chen, S.-S.: Interannual variability of the North Pacific Subtropical Countercurrent and its associated mesoscale eddy field, J. Phys. Oceanogr., 40, 811–832, https://doi.org/10.1175/2009JPO4311.1, 2010.
Santer, B. D., Wigley, T. M. L., Boyle, J. S., Gaffen, D. J., Hnilo, J. J., Nychka, D., Parker, D. E., and Taylor, K. E.: Statistical significance of trends and trend differences in layer-average atmospheric temperature time series, J. Geophys. Res., 105, 7337–7356, https://doi.org/10.1029/1999JD901105, 2000.
Schumacher, M., King, M., Rougier, J., Sha, Z., Khan, S. A., and Bamber, J. L.: A new global GPS data set for testing and improving modelled GIA uplift rates, Geophys. J. Int., 214, 2164–2176, https://doi.org/10.1093/gji/ggy235, 2018.
Shimura, T., Pringle, W. J., Mori, N., Miyashita, T., and Yoshida, K.: Seamless projections of global storm surge and ocean waves under a warming climate, Geophys. Res. Lett., 49, e2021GL097427, https://doi.org/10.1029/2021GL097427, 2022.
Sprintall, J., Gordon, A. L., Koch-Larrouy, A., Révelard, A., Tomczak, M., and Song, Q.: The Indonesian seas and their role in the coupled ocean–climate system, Nat. Geosci., 7, 487–492, https://doi.org/10.1038/ngeo2188, 2014.
Tebaldi, C., Ranasinghe, R., Vousdoukas, M., Rasmussen, D. J., Vega-Westhoff, B., Kirezci, E., Kopp, R. E., Sriver, R., and Mentaschi, L.: Extreme sea levels at different global warming levels, Nat. Clim. Change, 11, 746–751, https://doi.org/10.1038/s41558-021-01127-1, 2021.
van den Hurk, B., Pinardi, N., Kiefer, T., Larkin, K., Manderscheid, P., and Richter, K. (Eds.): Sea Level Rise in Europe: 1st Assessment Report of the Knowledge Hub on Sea Level Rise (SLRE1), Copernicus Publications, State Planet, 3-slre1, https://doi.org/10.5194/sp-3-slre1, 2024.
von Schuckmann, K., Le Traon, P.-Y., Smith, N., Pascual, A., Djavidnia, S., Brasseur, P., and Grégoire, M. (Eds.): Copernicus Ocean State Report, issue 6, J. Oper. Oceanogr., 15:sup1, s1–s220, https://doi.org/10.1080/1755876X.2022.2095169, 2022.
von Storch, H. and Zwiers, F. W.: Statistical Analysis in Climate Research, Cambridge University Press, https://doi.org/10.1017/CBO9780511612336, 1999.
Vousdoukas, M. I., Mentaschi, L., Voukouvalas, E., Verlaan, M., Jevrejeva, S., Jackson, L. P., and Feyen, L.: Global probabilistic projections of extreme sea levels show intensification of coastal flood hazard, Nat. Commun., 9, 2360, https://doi.org/10.1038/s41467-018-04692-w, 2018.
Xue, Y. Q., Zhang, Y., Ye, S. J., Xu, M. H., and Wang, Z. L.: Land subsidence in China, Environ. Geol., 48, 713–720, https://doi.org/10.1007/s00254-005-0010-6, 2005.
Wahl, T., Haigh, I. D., Nicholls, R. J., Arns, A., Dangendorf, S., Hinkel, J., and Slangen, A. B.: Understanding extreme sea levels for broad-scale coastal impact and adaptation analysis, Nat. Commun., 8, 16075, https://doi.org/10.1038/ncomms16075, 2017.
Zhang, H. and Sheng, J.: Examination of extreme sea levels due to storm surges and tides over the northwest Pacific Ocean, Cont. Shelf Res., 93, 81–97, https://doi.org/10.1016/j.csr.2014.12.001, 2015.
Zhang, Y., Guo, J., and Che, Z.: Discussion on evaluating the vulnerability of storm surge hazard-bearing bodies in the coastal areas of Wenzhou, Front. Earth Sci., 9, 300–307, 2015.
Zhao, R., Zhu, X., and Park, J.: Near 5-Day Non-isostatic Response to Atmospheric Surface Pressure and Coastal-Trapped Waves Observed in the Northern South China Sea, J. Phys. Oceanogr., 47, 2291–2303, 2017.
Zhou, Y., Yang, S., Luo, J., Ray, J., Huang, Y., and Li, J.: Global Glacial Isostatic Adjustment Constrained by GPS Measurements: Spherical Harmonic Analyses of Uplifts and Geopotential Variations, Remote Sens.-Basel, 12, 1209, https://doi.org/10.3390/rs12071209, 2020.
Zhu, J. Q., Yang, Y., Yu, J., and Gong, X. L.: Land subsidence of coastal areas of Jiangsu Province, China: historical review and present situation, Proc. IAHS, 372, 503–506, https://doi.org/10.5194/piahs-372-503-2015, 2015.
Short summary
This study explored how sea level is changing along the China-Europe Sea Route. By combining satellite and in-situ observations with advanced modeling, the research identified ongoing sea level rise and an increasing frequency of extreme water level events in some regions. These findings underscore the importance of continued monitoring and provide useful knowledge to support long-term planning, coastal resilience, and informed decision-making.
This study explored how sea level is changing along the China-Europe Sea Route. By combining...
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