James Adams

Add information to README regarding approach and methodologies used for building model to reproduce results of CAM for global climate modeling using ML algorithms.

Create ANN using Keras/TensorFlow for predicting PTTEND

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Using Keras with the TensorFlow backend we'll create a simple artificial neural network (ANN) using two layers, 1) convolutional neural network and 2) LSTM, for predicting the CAM PTTEND forcing...

Score models (train/test) for features: [PS, T, U, and V] and label: PTTEND

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Determine which model works best for features: [PS, T, U, and V] and label: PTTEND PTTEND (T total physics tendency) is the result of the CAM's processing of the PS...

SHFLX (surface sensible heat flux) and LHFLX (surface latent heat flux) are results of the CAM's processing of the Q (specific humidity) and PRECL (large-scale (stable) precipitation rate (liquid +...

See the [guidance document](https://docs.travis-ci.com/user/languages/python/) for Travis CI. - [ ] develop (unit) tests and mechanism for launch of all tests (minimally requires #7) - [ ] add a .travis.yml file...

The [NCAR Community Atmospheric Model](http://www.cesm.ucar.edu/models/atm-cam/) that we're basing some of this work upon operates in the same way on the northern and southern hemispheres, so we can use this as...

Create a script that - [ ] reads in features and labels (preferably multiple inputs with [xarray.open_mfdataset](http://xarray.pydata.org/en/stable/generated/xarray.open_mfdataset.html) - [ ] trains/fits one or more models using these inputs - [...

Let's try using [apricot](https://github.com/jmschrei/apricot) for feature selection and/or dataset reduction (selection of "submodules") for model train/fit.

Use [xarray.open_mfdataset()](http://xarray.pydata.org/en/stable/generated/xarray.open_mfdataset.html) to facilitate multiple input files as a single dataset.