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LSTM model to predict the states and fluxes of Noah-MP land surface model

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Name		Name	Last commit message	Last commit date
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figure		figure
.gitignore		.gitignore
LSTM_pals_sm.py		LSTM_pals_sm.py
LSTM_plumber2.py		LSTM_plumber2.py
README.md		README.md
environment_cuda9_2.yml		environment_cuda9_2.yml
load_lstm_data.py		load_lstm_data.py

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lstm-land-surface

This repository is an attempt to train an LSTM to predict land surface fluxes.

The first thing I am trying to do is predict soil moisture from atmospheric forcings.

This project was abandoned once NeuralHydrology started predicting land surface fluxes. See

NeuralHydrology for a legit Deep Learning land surface model.