A revolutionary library for analysis and plotting of meteorological data. The mapping is based on cartopy and GEOCAT libraries from NCAR.
It uses xarray as a core data structure for all processing.
The directory examples_notebook contains working Jupyter Notebooks to illustarte different applications of Zapata.
Zapata documentation is created using sphinx and it is sourced from the code itself.
To create a local copy of HTML documentation go to docs folder and type gmake html.
If a previous compilation of the documentation exist, it is a good practice to clean up with gmake clean before updating the HTML files.
HTML documentation can be accessed opening the main page at docs/build/html/index.html
To update the entire content of the documentation (e.g., after the inclusion of new modules) go to docs folder and use sphinx-apidoc:
sphinx-apidoc -f -e -M -o source ..
Python working environment can be setup using the provided conda environment.yml file:
conda env create -f environment.yml
conda activate zapata
To update your zapata environment with following updates use
conda env update -f environment.yml
Contains computation modules and plotting modules along with dedicated functions to read input data form different datasets (local and remote).
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computation : Routines for averaging and various computations
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data : Information on data sets and routine to get data from the data sets
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mapping : Mapping routines based on Cartopy
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lib : Utilties for the rest of the modules.
Contains algorithms for data analysis contributed by Stefan Klus
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algorithms : Routines for averaging and various computations
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kernel : Information on data sets and routine to get data from the data sets
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osbervables : Mapping routines based on Cartopy
subroutines for data interpolation
Functions to access and remote working on Zeus cluster