Additional dataset to "Comparing urban coastal flood risk in 136 cities under two alternative sea-level projections: RCP 8.5 and an expert opinion-based high-end scenario"

• Main Authors: Abadie, Luis M., Jackson, Luke P., Sainz de Murieta, Elisa, Jevrejeva, Svetlana, Galarraga, Ibon
• Format: Dataset
• Language: unknown
• Published: Zenodo 2021
• Subjects: Regional sea-level rise; Probabilistic projections; Coastal cities; Damage risk; Ice-sheet melting risk; Unmitigated scenarios; Ice Sheet
• Online Access: https://dx.doi.org/10.5281/zenodo.4733498; https://zenodo.org/record/4733498

This dataset provides additional information to that included in: Abadie, L.M., Jackson, L.P., Sainz de Murieta, E., Jevrejeva, S., Galarraga, I., 2020. Comparing urban coastal flood risk in 136 cities under two alternative sea-level projections: RCP 8.5 and an expert opinion-based high-end scenario. Ocean & Coastal Management 193, 105249. https://doi.org/10.1016/j.ocecoaman.2020.105249 The file contains sea-level rise projections, expected damages and risk data for RCP4.5 and RCP2.6 additionally to the RCP8.5 and the High-end scenario provided in the aforementioned article. Also, we present the data for every decade from 2020 to 2100. : This work was developed thanks to the financial support received under the following grants and research projects: L.M.A. is grateful for financial support from the Science and Innovation Ministry of Spain (MINECO RTI2018-093352-B-I00). L.P.J. acknowledges funding from the Robertson Foundation for Climate Econometrics (Grant Numbers: 9907422 and 9908921). E.S.M. acknowledges funding from the Basque Government (Postdoctoral Fellowship grant no. POS_2018_2_0027). I.G. was funded by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no. 776479. L.M.A, E.S.M. and I.G. acknowledge support from the Basque Government through the BERC 2018-2021 programme and from the Spanish Ministry of the Economy and Competitiveness (MINECO) through BC3 María de Maeztu excellence accreditation (MDM-2017-0714). S.J. was funded by the Natural Environmental Research Council under Grant Agreement No. NE/P015107/1.