polartoolkit.fetch.crustal_thickness

polartoolkit.fetch.crustal_thickness#

crustal_thickness(version, region=None, spacing=None, registration=None, **kwargs)[source]#

Load various Antarctic crustal thickness data.

Other models to add:

Llubes et al. 2003 Block et al. 2009 Baranov and Morelli 2013 O’Donnell and Nyblade 2014 Llubes et al. 2017 Llubes et al. 2018 Zhang et al. 2020 https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020GC009048?af=R&utm_campaign=RESR_MRKT_Researcher_inbound&utm_medium=referral&sid=researcher&utm_source=researcher_app Lamb et al. 2020 https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GC009150

Some other model that exist but can’t be download via https:

Pappa et al. 2019, grids and point data Brown and Fischer 2025, point data

Other models that don’t provide gridded results:

Chaput et al. 2014 Ramirez et al. 2017 Chisenga et al. 2019

version=’shen-2018’ Crustal thickness (excluding ice layer) from Shen et al.[1]. Accessed from https://sites.google.com/view/weisen/research-products?authuser=0

version=’an-2015’ This is the bedrock topography from Bedmap2 minus the Moho elevations from fetch.moho(version=’an-2015) (relative to sea level).

version=”an-2015-points” Point measurements of crustal thickness used to create the An-2015 model.

version=’baranov-2021’ Crustal thickness from and . Individual depths from seismic points were interpolated at 1 degree resolution using a kriging algorithm. Here, we reproject to Polar Stereographic and grid at 50km spacing. Accessed from https://data.mendeley.com/datasets/j58mf2wm9b/1

version=’li-2023’ Crustal thickness and uncertainties from and . Accessed from https://doi.org/10.5281/zenodo.10242299

version=’ji-2022’ Crustal thickness from . Accessed from https://doi.org/10.6084/m9.figshare.19947779.v2

Parameters:

  • version (str) – Either ‘shen-2018’, ‘an-2015’, ‘an-2015-points’, ‘baranov-2021’, ‘li-2023’, or ‘ji-2022’.

  • region (tuple[float, float, float, float], optional) – region to clip the loaded grid to, in format [xmin, xmax, ymin, ymax], by default doesn’t clip

  • spacing (int, optional) – grid spacing to resample the loaded grid to, by default spacing is read from downloaded files

  • registration (str, optional) – change registration with either ‘p’ for pixel or ‘g’ for gridline registration, by default is None.

  • **kwargs (Any) – additional keyword arguments to pass to the resample_grid function

Returns:

Returns a loaded, and optionally clip/resampled grid of crustal thickness, or a DataFrame of point measurements.

Return type:

xarray.DataArray, xarray.Dataset, pandas.DataFrame

References

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