Gravity Disturbances¶

Gravity disturbances are the differences between the measured gravity and a reference (normal) gravity produced by an ellipsoid. The disturbances are what allows geoscientists to infer the internal structure of the Earth. We’ll use the boule.Ellipsoid.normal_gravity function from boule to calculate the global gravity disturbance of the Earth using our sample gravity data.

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 boule as bl
import harmonica as hm

# Load the global gravity grid
data = hm.datasets.fetch_gravity_earth()
print(data)

# Calculate normal gravity using the WGS84 ellipsoid
ellipsoid = bl.WGS84
gamma = ellipsoid.normal_gravity(data.latitude, data.height_over_ell)
# The disturbance is the observed minus normal gravity (calculated at the
# observation point)
disturbance = data.gravity - gamma

# Make a plot of data using Cartopy
plt.figure(figsize=(10, 10))
ax = plt.axes(projection=ccrs.Orthographic(central_longitude=160))
pc = disturbance.plot.pcolormesh(