The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.

Snippets from my research in geo-sciences (satellite, etc...), often in python.

Python Jupyter notebooks for exploratory reading and visualization (RV) of various geospatial data products and file formats

psyplot usage examples

This notebook contains an introduction to the use of Python and cartopy to visualize data concerning earthquakes. We will first read a file with earthquake locations (latitudes, and longitudes), magnitudes in Richter scale, and depths, and other descriptors and then overlay it on a worldwide map.

This repository aims to determine a local geoid model for Carpathian Mountains based on the known topographic height and assessing the precision performance of the Earth gravitational model (EGM2008) in the area of interest. The topographical points used in this task were received during the Topex satellite altimeter mission. Ellipsoidal heights…