This repository contains code used to implement a cloud top pressure retrieval based on quantile regression neural networks (QRNNs). It serves mainly as a demonstration of the capability of QRNNs to to provide well calibrated estimates of the retrieval a posteriori distribution and provide statistically consistent non-Gaussian error estimates.
To run the notebooks, recent versions of typhon and Keras are required.
Running the scripts requires access to the training, validation
and test data used for the QRNN training. Due to size of the
data, these are stored on an external server. The get_data.sh
script is provided to take care of the data download and the
setup of the repository structure.
chmod +x ./get_data.sh
./get_data.sh
