Glacial Isostatic Adjustment

Description: Gridded estimates of glacial isostatic adjustment values.

Dataset:

Stål, Tobias, Anya M. Reading, Jacqueline A. Halpin, Phipps Steven J, and Joanne M. Whittaker. “The Antarctic Crust and Upper Mantle: A Flexible 3D Model and Framework for Interdisciplinary Research.” Zenodo, August 27, 2020. https://doi.org/10.5281/zenodo.4003423.

Associated paper:

Stål, Tobias, Anya M. Reading, Jacqueline A. Halpin, Steven J. Phipps, and Joanne M. Whittaker. “The Antarctic Crust and Upper Mantle: A Flexible 3D Model and Software Framework for Interdisciplinary Research.” Frontiers in Earth Science 8 (November 27, 2020): 577502. https://doi.org/10.3389/feart.2020.577502.

%%capture
%load_ext autoreload
%autoreload 2

from polartoolkit import fetch, maps, utils

data = fetch.gia(
    version="stal-2020",
    # available options
    # region,
    # spacing,
    # registration ("g" for gridline or "p" for pixel),
)
data

100%|█████████████████████████████████████| 2.51M/2.51M [00:00<00:00, 2.02GB/s]

<xarray.DataArray 'band_data' (y: 560, x: 560)> Size: 3MB
array([[nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan],
       ...,
       [nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan]], shape=(560, 560))
Coordinates:
  * x        (x) float64 4kB -2.795e+06 -2.785e+06 ... 2.785e+06 2.795e+06
  * y        (y) float64 4kB -2.795e+06 -2.785e+06 ... 2.785e+06 2.795e+06
Attributes:
    AREA_OR_POINT:  Area

xarray.DataArray

'band_data'

• y: 560
• x: 560

• nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan

  array([[nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         ...,
         [nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan]], shape=(560, 560))

• Coordinates: (2)
  • x
    (x)
    float64
    -2.795e+06 -2.785e+06 ... 2.795e+06

    array([-2795000., -2785000., -2775000., ...,  2775000.,  2785000.,  2795000.],
          shape=(560,))

  • y
    (y)
    float64
    -2.795e+06 -2.785e+06 ... 2.795e+06

    array([-2795000., -2785000., -2775000., ...,  2775000.,  2785000.,  2795000.],
          shape=(560,))

• Indexes: (2)
  • x
    PandasIndex

    PandasIndex(Index([-2795000.0, -2785000.0, -2775000.0, -2765000.0, -2755000.0, -2745000.0,
           -2735000.0, -2725000.0, -2715000.0, -2705000.0,
           ...
            2705000.0,  2715000.0,  2725000.0,  2735000.0,  2745000.0,  2755000.0,
            2765000.0,  2775000.0,  2785000.0,  2795000.0],
          dtype='float64', name='x', length=560))

  • y
    PandasIndex

    PandasIndex(Index([-2795000.0, -2785000.0, -2775000.0, -2765000.0, -2755000.0, -2745000.0,
           -2735000.0, -2725000.0, -2715000.0, -2705000.0,
           ...
            2705000.0,  2715000.0,  2725000.0,  2735000.0,  2745000.0,  2755000.0,
            2765000.0,  2775000.0,  2785000.0,  2795000.0],
          dtype='float64', name='y', length=560))

• Attributes: (1)

  AREA_OR_POINT :

  Area

_ = utils.get_grid_info(data, print_info=True)

grid spacing: 10000.0 m
grid region: (-2800000.0, 2800000.0, -2800000.0, 2800000.0)
grid zmin: -2953.8605957
grid zmax: 3931.43554688
grid registration: p

fig = maps.plot_grd(
    data,
    title="Glacial Isostatic Adjustment",
    coast=True,
    cbar_label="meters",
    hist=True,
    robust=True,
    hemisphere="south",
)

fig.show(dpi=200)