polartoolkit.fetch.moho

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polartoolkit.fetch.moho#

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

Load various Antarctic Moho elevation 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’ Elevation to the Moho relative to the surface of solid earth (bottom of ice/ocean) from Shen et al.[1]. Accessed from https://sites.google.com/view/weisen/research-products?authuser=0 To make this depth relative to sea level (the geoid), we have subtracted the crustal thickness from Bedmap2 bed topography.

version=’an-2015’ Moho elevation from An et al.[2]. Accessed from http://www.seismolab.org/model/antarctica/lithosphere/index.html#an1s File is the AN1-CRUST model, paper states “Moho depths and crustal thicknesses referred to below are the distance from the solid surface to the Moho. We note that this definition of Moho depth is different from that in the compilation of AN-MOHO”. We sampled the An-2015 point data and found this grid closer matched the Moho depths compared the the crustal thickness, so we have multiplied the file values by -1000 to convert into elevation in meters, relative to sea level (the geoid). We have reprojected to polar stereographic and re-gridded at a 20 km resolution.

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

version=’baranov-2021’ Moho elevation 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=’borghi-2022’ Moho elevation from . This was from a gravity inversion of the AntGG-2016 gravity compilation.

version=’li-2023’ Moho elevation 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’, ‘borghi-2022’, ‘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,) – choose between ‘g’ (gridline) or ‘p’ (pixel) registration types, by default is the original type of the grid

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

Returns:

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

Return type:

xarray.DataArray, xarray.Dataset, pandas.DataFrame

References

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