ETOPO1 Surface Topography

Description: A grid of surface topography originally at 10 arc-min resolution.

Dataset:

Uieda, Leonardo. “Fatiando a Terra Data: Earth - Topography Grid at 10 Arc-Minute Resolution.” Zenodo, January 20, 2022. https://doi.org/10.5281/zenodo.5882203.

Associated paper:

“ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis.” National Geophysical Data Center, NOAA, 2009. https://doi.org/10.7289/V5C8276M.

%%capture
%load_ext autoreload
%autoreload 2

from polartoolkit import fetch, maps, utils

data = fetch.etopo(
    hemisphere="north",
    # available options
    # region,
    # spacing,
    # registration ("g" for gridline or "p" for pixel),
)
data

<xarray.DataArray 'z' (y: 1401, x: 1401)> Size: 16MB
array([[  486.49594116,   478.53482056,   467.66543579, ...,
          152.54666138,   149.54217529,   147.06532288],
       [  464.78112793,   455.33734131,   441.82626343, ...,
          152.0880127 ,   149.05899048,   146.46817017],
       [  432.73828125,   420.5987854 ,   404.86700439, ...,
          149.2179718 ,   146.0639801 ,   143.34735107],
       ...,
       [-5456.1875    , -5441.64257812, -5427.81884766, ...,
         1273.10314941,  1233.51477051,  1185.92114258],
       [-5468.97167969, -5458.66113281, -5453.33691406, ...,
         1274.02124023,  1239.18518066,  1193.93615723],
       [-5484.20849609, -5476.99902344, -5475.375     , ...,
         1266.96899414,  1234.70935059,  1193.78649902]])
Coordinates:
  * y        (y) float64 11kB -3.5e+06 -3.495e+06 ... 3.495e+06 3.5e+06
  * x        (x) float64 11kB -3.5e+06 -3.495e+06 ... 3.495e+06 3.5e+06
Attributes:
    Conventions:   CF-1.7
    title:
    history:       gmt grdsample @GMTAPI@-S-I-G-M-G-N-000000 -G@GMTAPI@-S-O-G...
    description:
    long_name:     z
    actual_range:  [-7265.75048828  3226.35986328]

xarray.DataArray

'z'

• y: 1401
• x: 1401

• 486.5 478.5 467.7 454.0 ... 1.293e+03 1.267e+03 1.235e+03 1.194e+03

  array([[  486.49594116,   478.53482056,   467.66543579, ...,
            152.54666138,   149.54217529,   147.06532288],
         [  464.78112793,   455.33734131,   441.82626343, ...,
            152.0880127 ,   149.05899048,   146.46817017],
         [  432.73828125,   420.5987854 ,   404.86700439, ...,
            149.2179718 ,   146.0639801 ,   143.34735107],
         ...,
         [-5456.1875    , -5441.64257812, -5427.81884766, ...,
           1273.10314941,  1233.51477051,  1185.92114258],
         [-5468.97167969, -5458.66113281, -5453.33691406, ...,
           1274.02124023,  1239.18518066,  1193.93615723],
         [-5484.20849609, -5476.99902344, -5475.375     , ...,
           1266.96899414,  1234.70935059,  1193.78649902]])

• Coordinates: (2)
  • y
    (y)
    float64
    -3.5e+06 -3.495e+06 ... 3.5e+06

    long_name :

    y

    axis :

    Y

    actual_range :

    [-3500000. 3500000.]

    array([-3500000., -3495000., -3490000., ...,  3490000.,  3495000.,  3500000.])

  • x
    (x)
    float64
    -3.5e+06 -3.495e+06 ... 3.5e+06

    long_name :

    x

    axis :

    X

    actual_range :

    [-3500000. 3500000.]

    array([-3500000., -3495000., -3490000., ...,  3490000.,  3495000.,  3500000.])

• Indexes: (2)
  • y
    PandasIndex

    PandasIndex(Index([-3500000.0, -3495000.0, -3490000.0, -3485000.0, -3480000.0, -3475000.0,
           -3470000.0, -3465000.0, -3460000.0, -3455000.0,
           ...
            3455000.0,  3460000.0,  3465000.0,  3470000.0,  3475000.0,  3480000.0,
            3485000.0,  3490000.0,  3495000.0,  3500000.0],
          dtype='float64', name='y', length=1401))

  • x
    PandasIndex

    PandasIndex(Index([-3500000.0, -3495000.0, -3490000.0, -3485000.0, -3480000.0, -3475000.0,
           -3470000.0, -3465000.0, -3460000.0, -3455000.0,
           ...
            3455000.0,  3460000.0,  3465000.0,  3470000.0,  3475000.0,  3480000.0,
            3485000.0,  3490000.0,  3495000.0,  3500000.0],
          dtype='float64', name='x', length=1401))

• Attributes: (6)

  Conventions :

  CF-1.7

  title :

  history :

  gmt grdsample @GMTAPI@-S-I-G-M-G-N-000000 -G@GMTAPI@-S-O-G-G-G-Y-000001 -I5000.0 -R-3500000.0/3500000.0/-3500000.0/3500000.0 -rg

  description :

  long_name :

  z

  actual_range :

  [-7265.75048828 3226.35986328]

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

grid spacing: 5000.0 m
grid region: (-3500000.0, 3500000.0, -3500000.0, 3500000.0)
grid zmin: -7265.75048828
grid zmax: 3226.35986328
grid registration: g

fig = maps.plot_grd(
    data,
    title="ETOPO Surface Topography",
    coast=True,
    cbar_label="meters",
    hist=True,
    robust=True,
    cmap="rain",
    reverse_cpt=True,
    hemisphere="north",
)

fig.show(dpi=200)