Data for: A Global Survey of the Application of Sea-Level Projections

Creators

• Daniella Hirschfeld, Utah State UniversityFollow
• David Behar, San Francisco Public Utilities CommissionFollow
• Robert Nicholls, Tyndall Centre for Climate Change ResearchFollow
• Niamh Cahill, National University of Ireland, MaynoothFollow
• Thomas James, Natural Resources CanadaFollow
• Ben Horton, Nanyang Technological UniversityFollow
• Michelle E. Portman, Technion - Israel Institute of TechnologyFollow
• Rob Bell, Bell Adapt LtdFollow
• Matt Campo, Rutgers, The State University of New JerseyFollow
• Miguel Esteban, Waseda UniversityFollow
• Bronwyn Goble, The Oceanographic Research InstituteFollow
• Munsur Rahman, Bangladesh University of Engineering and TechnologyFollow
• Kwasi Appeaning Addo, University of GhanaFollow
• Faiz Ahmed, School of Planning and Architecture, VijayawadaFollow
• Monique Aunger, Geological Survey of CanadaFollow
• Orly Babitsky, Technion - Israel Institute of TechnologyFollow
• Anders Beal, Woodrow Wilson International Center for ScholarsFollow
• Ray Boyle, University of California BerkeleyFollow
• Jiayi Fang, East China Normal UniversityFollow
• Amir Gohar, University of HuddersfieldFollow
• Susan Hanson, University of SouthamptonFollow
• Saul Karamesines, Utah State UniversityFollow
• MJ Kim, Ministry of Oceans and Fisheries affairs
• Hilary Lohmann, Department of Planning and Natural Resources
• Kathy McInnes, Commonwealth Scientific and Industrial Research Organization
• Nobuo Mimura, Ibaraki UniversityFollow
• Doug Ramsay, National Institute for Water and Atmospheric ResearchFollow
• Landis Wenger, Utah State UniversityFollow
• Hiromune Yokoki, Ibaraki UniversityFollow

Description

Including sea-level rise (SLR) projections in coastal adaptation is increasingly recognized as crucial. Here we analyze the first global survey on the use of SLR projections comprising 253 coastal practitioners engaged in adaptation/planning from 49 countries with time frames of 2050 and 2100. While recognition of the threat of SLR is almost universally recognized, only 71% of respondents currently utilize SLR projections. Generally, developing countries have lower levels of utilization. There is no global standard in the use of SLR projections: for locations using a standard structure, 53% are planning for a single projection, while the remainder are using multiple projections, with 13% considering an unlikely high-end scenario. Countries with long histories of adaptation and consistent national support show greater assimilation of SLR projections into adaptation decisions. This research proves insightful for improving sea-level science, and informs important ongoing efforts on the application of the science which are essential to promote effective adaptation.

Author ORCID Identifier

Daniella Hirschfeld https://orcid.org/0000-0001-9664-7594

David Behar https://orcid.org/0000-0003-1271-0977

Robert Nicholls https://orcid.org/0000-0002-9715-1109

Niamh Cahill https://orcid.org/0000-0003-3086-550X

Thomas James https://orcid.org/0000-0001-7321-047X

Ben Horton https://orcid.org/0000-0001-9245-3768

Michelle E. Portman https://orcid.org/0000-0002-0010-186X

Rob Bell https://orcid.org/0000-0002-8490-8942

Miguel Esteban https://orcid.org/0000-0003-3032-499X

Bronwyn Goble https://orcid.org/0000-0001-7537-6131

Munsur Rahman https://orcid.org/0000-0002-9922-0374

Kwasi Appeaning Addo https://orcid.org/0000-0001-8981-5684

Jiayi Fang https://orcid.org/0000-0002-0420-5615

Amir Gohar https://orcid.org/0000-0002-9545-785X

Susan Hanson https://orcid.org/0000-0002-2198-1595

Saul Karamesines https://orcid.org/0000-0001-6933-3784

Kathy McInnes https://orcid.org/0000-0002-1810-7215

Nobuo Mimura https://orcid.org/0000-0002-7082-9194

Doug Ramsay https://orcid.org/0000-0001-8813-5687

Document Type

Dataset

DCMI Type

Dataset

File Format

.csv, .shp, .cpg, .dbf, .prj, .sbn, .sbx, .shx, .pdf

Viewing Instructions

Spatial Data requires GIS software

Publication Date

9-1-2022

Funder

European Union’s Horizon 2020

Publisher

Utah State University

Award Number

European Union’s Horizon 2020 869304

Award Title

A Closer Look at the Interactions Between Atmosphere, Ocean and Ice Sheets

Methodology

We gathered technical publicly available information about city and state agencies from knowledgeable staff members. We used a survey instrument called "Sea Level Projections in Coastal Planning Questionnaire" to understand publicly available data about each jurisdiction's policies and procedures about sea level rise.

Referenced by

Hirschfeld, D., Behar, D., Nicholls, R., et al. (2022) "A Global Survey of the application of Sea-Level Projections". Communications - Earth & Environment. [Under Review]. https://doi.org/10.21203/rs.3.rs-1627606/v1

Start Date

11-2020

End Date

8-2021

Location

See SLR_Questionnaire_Point_Data.shp, SLR_Continent.shp, and SLR_Zone.shp.

Language

eng

Code Lists

See Data Dictionary in README file.

Comments

The data for the coastal zones was derived from Nicholls, R.J., Lincke, D., Hinkel, J. et al. A global analysis of subsidence, relative sea-level change and coastal flood exposure. Nat. Clim. Chang. 11, 338–342 (2021). https://doi.org/10.1038/s41558-021-00993-z

Disciplines

Landscape Architecture | Urban, Community and Regional Planning

License

This work is licensed under a Creative Commons Attribution 4.0 License.

Identifier

https://doi.org/10.26078/c70c-cef6

Recommended Citation

Hirschfeld, D., Behar, D., Nicholls, R., Cahill, N., James, T., Horton, B., Portman, M. E., Bell, R., Campo, M., Esteban, M., Goble, B., Rahman, M., Addo, K. A., Ahmed, F., Aunger, M., Babitsky, O., Beal, A., Boyle, R., Fang, J., … Yokoki, H. (2022). Data for: A Global Survey of the Application of Sea-Level Projections [Data set]. Utah State University. https://doi.org/10.26078/C70C-CEF6

Checksum

41ff054e0079793e152256e2b2e31ec3