A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

PyEarthScience

Python modules, scripts and iPython notebooks, in particular for Earth System data processing and visualization used in climate science.
https://github.com/KMFleischer/PyEarthScience

Category: Sustainable Development
Sub Category: Education

Keywords

analysis cartopy cdo georeferenced-data matplotlib ncl notebooks pyngl pynio python python-cdo spatial-data visualization xarray

Last synced: about 14 hours ago
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Repository metadata

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.

README.md

PyEarthScience

The PyEarthScience repository created by DKRZ (German Climate Computing Centre)
provides various Python modules, scripts and iPython notebooks, in particular for
Earth System data processing and visualization used in climate science.

For this, different Python modules are used, like PyNIO, PyNGL, xarray, matplotlib, cartopy,
and psyplot.

Those who have decided to write their programs for the visualization of scientific data
in Python, will encounter problems and questions such as - which modules are there,
which ones are needed, which are well documented and, above all, which are still maintained
today.

We added the NCL Transition Examples - NCL to Python from DKRZ to this repository too
because most of our users are familiar with NCL but need to pivot to Python.

Content

  • Visualization

    • Cartopy
    • NCL notebooks
    • PyNGL
    • matplotlib
    • psyplot
  • Transition_examples_NCL_to_PyNGL

    • annotations
    • basics
    • contours
    • maps
    • masking
    • overlays
    • panel
    • polylines_polygons_polymarker
    • read_data
    • regrid
    • scatter
    • shapefiles
    • slices
    • streamlines
    • vectors
    • write_data
    • xy
  • Tutorial (notebooks)

    • Python basics
    • numpy basics
    • xarray and PyNIO basics
    • PyNGL basics
      • xy-plots
      • maps
      • contours on maps
  • I/O

    • read GRIB files with PyNIO
    • read GRIB files with xarray/cfgrib
    • read netCDF files with PyNio
    • read netCDF files with xarray
  • Data analysis

    • Introduction to python-cdo
    • CDO - climatology, anomalies, standardized anomalies
    • compute NINOs with CDO
    • convert CSV file to netCDF
    • convert ASCII file to netCDF

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Last synced: 6 days ago

Total Commits: 97
Total Committers: 2
Avg Commits per committer: 48.5
Development Distribution Score (DDS): 0.041

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
KMFleischer m****r@d****e 93
Philipp Sommer C****p 4

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Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 0
Total pull requests: 5
Average time to close issues: N/A
Average time to close pull requests: less than a minute
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull request: 5
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

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