Published May 22, 2025 | Version v1
Dataset Open

Monthly-sampled waterline data (North American West Coast, 1997-2022)

  • 1. ROR icon Laboratoire d'Études en Géophysique et Océanographie Spatiales
  • 2. EDMO icon Centre National d'Etudes Spatiales, Toulouse Spatial Center
  • 3. IRD
  • 4. U.S. Geological Survey
  • 5. ROR icon University of Hawaiʻi at Mānoa
  • 6. University of New South Wales - Randwick Campus
  • 7. ROR icon Oregon State University

Description

Satellite-derived waterline data (netcdf format, .nc) along the North American West Coast, for each transect.

Two files for 2 datasets, 2000-2022 and 1997-2022 (refer to Methods in Graffin et al. (2025)).

 - 'shoreline' : Monthly-sampled waterline positions (demeaned).

 - 'fit' : Long-term trends of waterline change.

 - 'cycle' : Seasonal cycles of waterline change.

 - 'anom' : Anomalies of waterline change.

 - 'slope' : Upper-intertidal beach slopes (estimated using the methodology from Vos et al. (2020)).

 - 'lon' : Transect longitude coordinates.

 - 'lat' : Transect latitude coordinates.

The files also contain wave, wind and sea-level data used in the study.

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Example of code to use the data : 

import xarray as xr

data = xr.open_dataset('yourpath/file.nc')

shorelines = data.shoreline

lon,lat = data.lon,data.lat

significant_wave_height = data.hs

sea_level_anom = data.sla

Files

Files (627.3 MB)

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md5:dde713197c31694f61c989ef8f4de0af
328.5 MB Download
md5:c6eb14a198a64f1e03549bec407268cb
298.9 MB Download