Sea level elevation and atmospheric carbon dioxide concentration data for 220 years
Data files
Nov 26, 2025 version files 51.87 KB
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README.md
3.50 KB
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unfreezed_dryad_slr_data_set.xlsx
48.37 KB
Abstract
Rising sea levels by 2100 and beyond are expected to cause significant and widespread economic chaos and more relocations as populations attempt to avoid increased coastal flooding and storm risks. The data set assembled is from publicly available sources; the data set contains sea level elevation and atmospheric carbon dioxide concentrations that are used to compute a ratio mm ppm-1 (SEACO) for the last 220 years at 14 tide gage stations and for the global average. The data were used to predict sea level rise (SLR) for the high-end emissions IPCC scenario (RCP8.5) in 2050 and 2100 (atmospheric CO2 equals 550 and 1000 ppm, respectively), assuming that the SEACO index continues to rise at the same rate as during the last 120 years. If current rates continue, then the 2020 average sea level elevation will be considerably below the sea level predicted under the IPCC RCP8.5 high-emissions scenario. SEACO can be an independent metric useful to update models of future SLR.
Dataset DOI: 10.5061/dryad.vdncjsz5g
Description of the data and file structure
GENERAL INFORMATION
1. Title of Dataset: Sea level elevation and atmospheric carbon dioxide concentration data for 220 years
2. Author Information
A. Principal Investigator Contact Information
Name: R. Eugene Turner
Institution: Louisiana State University
Address: Baton Rouge, Louisiana, USA, 70803
Email: euturne@lsu.edu
3. Date of data collection (single date, range, approximate date) : 1700 to 2023
4. Geographic location of data collection: 14 tide gage stations: 1) Sheerness, England; 2) Brest, France; 3) Maassluis, Netherlands; 4) Cascais, Portugal; 5) Boston, Massachusetts, USA, 6) New York City, USA; 7) San Francisco, California, USA; 8) Honolulu, Hawaii, USA; 9) Sydney, Australia, 10) Fremantle, Australia, Key West, Florida, Cedar Key Florida; Liverpool, England; and Amsterdam, Netherlands.
5. Information about funding sources that supported the collection of the data: NSF Award Number (FAIN) 2103843: Large-scale CoPe Hub: Rising Voices, Changing Coasts: The National Indigenous and Earth Sciences Convergence Hub.
SHARING/ACCESS INFORMATION
1. Licenses/restrictions placed on the data: none
2. Links to publications that cite or use the data: Turner, R.E. 2025. Century-long linear rise in sea level/atmospheric CO2 ratios. Environmental Research Communications(accepted)
3. Links to other publicly accessible locations of the data:https://psmsl.org/ and https://ourworldindata.org/grapher/sea-level
4. Links/relationships to ancillary data sets: none
5. Was the data derived from another source? YES
6. Recommended citation for this dataset: Turner, R. E. 2025. The century-long linear rise in sea level/atmospheric CO2 ratios.
DATA & FILE OVERVIEW
1. File List:
worksheet 'Readme': basic information on authors, data abstract, research address
worksheet 'units':
worksheet DATA
2. Relationship between files, if important: none
3. Additional related data collected that was not included in the current data package: none
4. Are there multiple versions of the dataset? NO
METHODOLOGICAL INFORMATION
1. Description of methods used for the collection/generation of data:
Archival records search for records of the annual average sea level at coastal tide gages and atmospheric CO2 concentration
2. Methods for processing the data:
Simple linear regressions of year versus mm/CO2
3. Instrument- or software-specific information needed to interpret the data:
<include full name and version of software, and any necessary packages or libraries needed to run scripts>
none
4. Standards and calibration information, if appropriate:
Archival records search
5. Environmental/experimental conditions: none
6. Describe any quality-assurance procedures performed on the data: none
7. People involved with sample collection, processing, analysis, and/or submission: RE Turner
DATA-SPECIFIC INFORMATION FOR: unfreezed_dryad_slr_data_set.xlsx
separate worksheet for data labeled 'data.'
1. Number of variables: 5
2. Number of cases/rows: maximum of 227 rows of data for 1 worksheet
3. Variable List:
- YEAR
- sea level
- CO2 conc.
- station number
4. Missing data codes:
n/a
5. Specialized formats or other abbreviations used:
None
Tide gage data were collected from https://psmsl.org,/, and atmospheric CO2 concentration data were collected from https://ourworldindata.org/grapher/sea-level. The normalized sea level elevation for the baseline period was divided by the atmospheric CO2 ratio (mm ppm-1)
