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HydroBloks

HydroBloks relies on a number python libraries. To make this straightforward use conda (http://conda.pydata.org/miniconda.html) to install all the packages. Here are the steps to install the model.

  1. conda install gdal
  2. conda install scikit-learn
  3. conda install netCDF4
  4. python setup.py

Note: If you have the intel mkl library on your machine, we recommend that you set the mkl_flag variable in setup.py to True.

To run the model on a test dataset, do the following:

  1. wget http://hydrology.princeton.edu/~nchaney/HydroBloks/LittleWashita.tar.gz
  2. untar -xvzf LittleWashita.tar.gz
  3. cd LittleWashita
  4. python ../HydroBloks/Preprocessing/Driver.py metadata_littlewashita.json
  5. python ../HydroBloks/HydroBloks/Driver.py metadata_littlewashita.json

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  • Fortran 88.3%
  • Python 11.6%
  • Makefile 0.1%