Note
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Earth GravityΒΆ
This is the magnitude of the gravity vector of the Earth (gravitational + centrifugal) at 10 km height. The data is on a regular grid with 0.5 degree spacing at 10km ellipsoidal height. It was generated from the spherical harmonic model EIGEN-6C4 [Forste_etal2014].
Out:
<xarray.Dataset>
Dimensions: (latitude: 361, longitude: 721)
Coordinates:
* longitude (longitude) float64 -180.0 -179.5 -179.0 ... 179.5 180.0
* latitude (latitude) float64 -90.0 -89.5 -89.0 ... 89.0 89.5 90.0
Data variables:
gravity (latitude, longitude) float64 9.801e+05 ... 9.802e+05
height_over_ell (latitude, longitude) float64 1e+04 1e+04 ... 1e+04 1e+04
Attributes: (12/35)
generating_institute: gfz-potsdam
generating_date: 2018/11/07
product_type: gravity_field
body: earth
modelname: EIGEN-6C4
max_used_degree: 1277
... ...
maxvalue: 9.8018358E+05 mgal
minvalue: 9.7476403E+05 mgal
signal_wrms: 1.5467865E+03 mgal
grid_format: long_lat_value
attributes: longitude latitude gravity_ell
attributes_units: deg. deg. mgal
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import harmonica as hm
# Load the gravity grid
data = hm.datasets.fetch_gravity_earth()
print(data)
# Make a plot of data using Cartopy
plt.figure(figsize=(10, 10))
ax = plt.axes(projection=ccrs.Orthographic(central_longitude=150))
pc = data.gravity.plot.pcolormesh(
ax=ax, transform=ccrs.PlateCarree(), add_colorbar=False
)
plt.colorbar(
pc, label="mGal", orientation="horizontal", aspect=50, pad=0.01, shrink=0.6
)
ax.set_title("Gravity of the Earth (EIGEN-6C4)")
ax.coastlines()
plt.show()
Total running time of the script: ( 0 minutes 0.482 seconds)