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Python algorithm for tracking cumulus clouds in a LES.
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vladpopa/cloudtracker
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NOTE: The most up-to-date version of cloudtracker may be found at https://github.com/freedryk/cloudtracker ----------------------------------- To run cloudtracker, the following Python modules must be installed: numpy networkx And *either*: netcdf4-python or pupynere --------------------------- The model_config.cfg file contains model-specific parameters that need to be set for your model, and the location of a directory containing the input NetCDF files. -------------------------- cloudtracker takes a set of NetCDF files as input. There should be one file per model time step, and the files should be named so that an ASCII sort will put them in order of increasing time. The easiest way to do this is simply by appending an index to the files, like so: file_0000001.nc file_0000002.nc file_0000003.nc ... cloudtracker will treat every file in the input directory as a valid input file, so ensure only the NetCDF files for processing are present in the directory. Each NetCDF file should contain the following integer variables: core: 1 for buoyant, upward moving model points with condensed liquid water, 0 otherwise condensed: 1 for model points with condensed liquid water 0 otherwise plume: 1 for model points conforming to the tracer criteria defined in Couvreax et al. (2010) 0 otherwise And the following floating point variables: u: east-west velocity v: north-south velocity w: up-down velocity All variables should be of size (nz, ny, nx), as defined in model_config.cfg. ------------------------- To run cloudtracker, type the following at a command line: ./track_clouds.py model_config.cfg
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Python algorithm for tracking cumulus clouds in a LES.
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