"""
Function to download the Earth relief datasets from the GMT data server, and
load as :class:`xarray.DataArray`.
The grids are available in various resolutions.
"""
import xarray as xr
from pygmt.exceptions import GMTInvalidInput
from pygmt.helpers import kwargs_to_strings
from pygmt.src import grdcut, which
[docs]@kwargs_to_strings(region="sequence")
def load_earth_relief(resolution="01d", region=None, registration=None):
r"""
Load Earth relief grids (topography and bathymetry) in various resolutions.
The grids are downloaded to a user data directory
(usually ``~/.gmt/server/earth/earth_relief/``) the first time you invoke
this function. Afterwards, it will load the grid from the data directory.
So you'll need an internet connection the first time around.
These grids can also be accessed by passing in the file name
**@earth_relief**\_\ *res*\[_\ *reg*] to any grid plotting/processing
function. *res* is the grid resolution (see below), and *reg* is grid
registration type (**p** for pixel registration or *g* for gridline
registration). Refer to :gmt-docs:`datasets/remote-data.html` for more
details.
Parameters
----------
resolution : str
The grid resolution. The suffix ``d``, ``m`` and ``s`` stand for
arc-degree, arc-minute and arc-second. It can be ``'01d'``, ``'30m'``,
``'20m'``, ``'15m'``, ``'10m'``, ``'06m'``, ``'05m'``, ``'04m'``,
``'03m'``, ``'02m'``, ``'01m'``, ``'30s'``, ``'15s'``, ``'03s'``,
or ``'01s'``.
region : str or list
The subregion of the grid to load. Required for Earth relief grids with
resolutions higher than 5 arc-minute (i.e., ``05m``).
registration : str
Grid registration type. Either ``pixel`` for pixel registration or
``gridline`` for gridline registration. Default is ``None``, where
a pixel-registered grid is returned unless only the
gridline-registered grid is available.
Returns
-------
grid : :class:`xarray.DataArray`
The Earth relief grid. Coordinates are latitude and longitude in
degrees. Relief is in meters.
Notes
-----
The :class:`xarray.DataArray` grid doesn't support slice operation, for
Earth relief data with resolutions higher than "05m", which are stored as
smaller tiles.
Examples
--------
>>> # load the default grid (pixel-registered 01d grid)
>>> grid = load_earth_relief()
>>> # load the 30m grid with "gridline" registration
>>> grid = load_earth_relief("30m", registration="gridline")
>>> # load high-resolution grid for a specific region
>>> grid = load_earth_relief(
... "05m", region=[120, 160, 30, 60], registration="gridline"
... )
"""
# earth relief data stored as single grids for low resolutions
non_tiled_resolutions = ["01d", "30m", "20m", "15m", "10m", "06m"]
# earth relief data stored as tiles for high resolutions
tiled_resolutions = ["05m", "04m", "03m", "02m", "01m", "30s", "15s", "03s", "01s"]
if registration in ("pixel", "gridline", None):
# If None, let GMT decide on Pixel/Gridline type
reg = f"_{registration[0]}" if registration else ""
else:
raise GMTInvalidInput(
f"Invalid grid registration: {registration}, should be either "
"'pixel', 'gridline' or None. Default is None, where a "
"pixel-registered grid is returned unless only the "
"gridline-registered grid is available."
)
if resolution not in non_tiled_resolutions + tiled_resolutions:
raise GMTInvalidInput(f"Invalid Earth relief resolution '{resolution}'.")
# different ways to load tiled and non-tiled earth relief data
# Known issue: tiled grids don't support slice operation
# See https://github.com/GenericMappingTools/pygmt/issues/524
if region is None:
if resolution in non_tiled_resolutions:
fname = which(f"@earth_relief_{resolution}{reg}", download="a")
with xr.open_dataarray(fname) as dataarray:
grid = dataarray.load()
_ = grid.gmt # load GMTDataArray accessor information
else:
raise GMTInvalidInput(
f"'region' is required for Earth relief resolution '{resolution}'."
)
else:
grid = grdcut(f"@earth_relief_{resolution}{reg}", region=region)
# Add some metadata to the grid
grid.name = "elevation"
grid.attrs["long_name"] = "elevation relative to the geoid"
grid.attrs["units"] = "meters"
grid.attrs["vertical_datum"] = "EMG96"
grid.attrs["horizontal_datum"] = "WGS84"
# Remove the actual range because it gets outdated when indexing the grid,
# which causes problems when exporting it to netCDF for usage on the
# command-line.
grid.attrs.pop("actual_range")
for coord in grid.coords:
grid[coord].attrs.pop("actual_range")
return grid