MATLAB, python, PDF folders: Contains .m, .py and PDF versions of the Jupyter notebooks Jupyter Notebooks: Jupyter_Notebook_python/IMD_Rainfall_Plots.ipynb Rainfall data plotting using xarray and proplot. Jupyter_Notebook_python/Andhra_rainfall_plots.ipynb Subset a region and mask a NetCDF file...
Saving data in NetCDF format f.to_nc(path_to_nc_file) Decode PUP data cinrad.io.PUPprovides functions to decode PUP data. The extracted data can be further used to create PPI. (Only radial data are supported.) fromcinrad.ioimportPUPf=PUP(your_radar_file)data=f.get_data() ...
Plotting package to visualise meteorological data in GRIB, NetCDF, BUFR and ODB format. - ecmwf/magics
Included in the GFS_plotting repository are scripts for: (1) downloading the latest operational data, (2) downloading archive data and (3) preprocessing the data into netcdf files that are can be easily read by the GFS plotting code. As before these scripts rely on you having set a SWIFT...
Python and the graphics modules used in Clawpack are open source. Since Clawpack itself is open source we find it desirable to also have an open source plotting open for viewing the results. The Python tools developed so far (mostly for 1d and 2d data sets) are more powerful than the Ma...
Instead, use netCDF tools such as: xarray netCDF operators (NCO) Climate Data Operators instead. Also see our Work with netCDF files guide at geos-chem.readthedocs.io Statistical analysis: Instead, use statistical tools such as: Use scipy scikit-learn R etc Machine Learning: Instead, use...
Python installation with numpy, netcdf4, basemap, and matplotlib In some cases a Fortran compiler combined with F2PY (part of numpy) is required to create python modules (gfortran is great) A full Python distribution package such asAnacondais reccomended ...
Saving data in NetCDF format f.to_nc(path_to_nc_file) Decode PUP data cinrad.io.PUPprovides functions to decode PUP data. The extracted data can be further used to create PPI. (Only radial data are supported.) fromcinrad.ioimportPUPf=PUP(your_radar_file)data=f.get_data() ...
Included in theGFS_plottingrepository are scripts for: (1) downloading the latest operational data, (2) downloading archive data and (3) preprocessing the data into netcdf files that are can be easily read by the GFS plotting code.