Published March 4, 2024 | Version 1.2.1
Dataset Open

SLIIDERS: Sea Level Impacts Input Dataset by Elevation, Region, and Scenario

  • 1. The Rhodium Group; Global Policy Lab, Goldman School of Public Policy, University of California, Berkeley
  • 2. Energy & Resources Group, University of California, Berkeley; 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

This record includes the Sea Level Impacts Input Dataset by Elevation, Region, and Scenario (SLIIDERS) dataset. It also includes source code to generate this product as well as necessary inputs that are not available for download elsewhere. Both the dataset and the source code are consistent with version 1.2. Note: The version associated with Depsky et al., 2023 is v1.1.

The zipped SLIIDERS Zarr store can be downloaded and accessed locally or can be directly accessed via code similar to the following:

from fsspec.implementations.zip import ZipFileSystem
import xarray as xr
xr.open_zarr(ZipFileSystem(url_of_file_in_record}}).get_mapper())

File Inventory

Products

  • sliiders-v1.2.zarr.zip: SLIIDERS. A global dataset containing 18 socioeconomic variables, reflecting present day socioeconomic and geophysical characteristics of 11,980 coastal regions and projecting capital stock, GDP, and population growth trajectories through 2100 for five SSPs and two economic growth models. These variables are used as inputs to the pyCIAM modeling platform detailed in Depsky et al. 2023.
  • sliiders-v1.2.nc: Same as the original SLIIDERS dataset, but in netcdf format.

Inputs

All provided inputs are manually created or adjusted points used to create the coastline segments of SLIIDERS:

  • ciam_segment_pts_manual_adds.parquet: A list of segment points manually added to those that come from the extreme sea level model CoDEC (Muis et al. 2020)
  • gtsm_stations_ciam_ne_coastline_snapped.parquet: Stations from CoDEC snapped to coastlines from Natural Earth
  • gtsm_stations_eur_tothin.parquet: A list of European points in CoDEC to thin. CoDEC provides ~10km resolution in Europe and ~50km elsewhere. For consistency, SLIIDERS uses ~50km spacing for its coastal segments globally.

Source Code

  • sliiders-1.2.zip: The source code used to generate SLIIDERS v1.1. See READMEs within this code for more details. This is consistent with release v1.2 of the code maintained on github at https://github.com/ClimateImpactLab/SLIIDERS

Files

sliiders-1.2.zip

Files (91.5 MB)

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Additional details

Software

Repository URL
https://github.com/ClimateImpactLab/sliiders
Programming language
Python
Development Status
Active