Data for "Machine Learning Enables Real-Time Proactive Quality Control: A Proof-of-Concept Study" by T. Honda and A. Yamazaki

Source code and data for Honda and Yamazaki (2023, submitted)

Lorenz96-LETKF-master202310110928.zip: source code

dat.tar.gz: data

rc20231011.yml: anaconda environment

(1) unzip Lorenz96-LETKF-master202310110928.zip

(2) tar xvzf dat.tar.gz

(3) mv dat (directory) Lorenz96-LETKF/

(4) cd Lorenz96-LETKF/src/plot/

(5) Edit Fig*.py (comment out one line that specifies the data path in each file, search "comment out" in each file)

(6) Plot figures by python3 Fig02.py

The source code could be executed with a standard python3 environment. A suitable environment can be build with rc20231011.yml if necessary.

To run a new experiment, execute run.py (see also README.md)

To train reservoir computing, use src/train_prediction.py