climate_learn

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Develop a simple RNN/LSTM model using Keras

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Begin development of a notebook that includes an RNN/LSTM model implemented using Keras.

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Create a Pipeline for managing machine learning workflow

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Develop an initial [Pipeline](http://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html) for managing machine learning workflow.

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We currently expect data for prediction to match the shape of the fit inputs, i.e. there is currently no allowance for batching in the model(s).

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We've been doing scaling erroneously using a scaler for each lat/lon location, rather than a scaler per feature/label.

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Create a simple CNN with Keras to evaluate its performance and predict variable values.

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Create PBS batch processing script for running a ML model using CAM inputs/outputs. Script template: ``` #### PBS preamble #PBS -N PBS_test_script #PBS -M [email protected] #PBS -m abe #PBS -A...

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

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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...

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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...

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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 +...

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