Published April 11, 2022
| Version 1.0
Dataset
Open
Estimates of Global Coastal Losses Under Multiple Sea Level Rise Scenarios
Authors/Creators
- 1. Energy & Resources Group, University of California, Berkeley; Global Policy Lab, Goldman School of Public Policy, University of California, Berkeley
- 2. The Rhodium Group; Global Policy Lab, Goldman School of Public Policy, University of California, Berkeley
- 3. Global Policy Lab, Goldman School of Public Policy, University of California, Berkeley
- 4. Energy Policy Institute, University of Chicago
- 5. The Rhodium Group
- 6. National Bureau of Economic Research; Energy Policy Institute, University of Chicago
- 7. Global Policy Lab, Goldman School of Public Policy, University of California, Berkeley; National Bureau of Economic Research
- 8. Department of Earth & Planetary Sciences and Rutgers Institute of Earth, Ocean and Atmospheric Sciences, Rutgers University
Description
Results from the Python Coastal Impacts and Adaptation Model (pyCIAM). A global coastal dataset of physical and socioeconomic metrics, for use in global coastal risk research as described in Depsky et al. 2022. Source code for the model is available at https://github.com/ClimateImpactLab/pyCIAM.
Files
Files
(29.1 GB)
| Name | Size | |
|---|---|---|
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md5:9b68547d57a6200d4d8d87558e5ee0ab
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29.1 GB | Download |
Additional details
Related works
- Is compiled by
- Software: 10.5281/zenodo.6448591 (DOI)
- References
- Dataset: 10.5281/zenodo.6449231 (DOI)