Conversion of stoke coefficients to mass anaomalies using GRACE data in the LENA basin
Project_grace_filtered.ipynb
contains the main bulk of code and should be understandableData overview.ipynb
contains some helper functions to speed up data collection etc.- Other notebooks can be found in
\old code
these are poorly commented and not worked out in detail
- Multi core processing speeds up the computation times, jupyter lab is less usefull for this, thus these are run in:
multicore_filtered.py
andmulticore_raw.py
which run in around 1/6th of the time from my testing (depening on your machine performance offcouse)
calc_geoid_change_alt.py
is used to run the normalized Legendre function, this was provided by P. Ditmar (TU Delft)geospatial_functions.py
is a combination of functions to plot background maps easily using contexitly
Contains an assortment of data, mainly the processed geospatial files. Download stokes coefficients yourself using Data overview.ipynb
from the owners.
Contains report and presentation.