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Python codes for the Deep learning algorithm for MWR paper "Deep Learning of a 200-member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events"

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This repository contains files with Python code for the Deep learning algorithm "CW3E-DL" discussed in the following publication: Ghazvinian, M., Delle Monache, L., Afzali Gorooh, V., Steinhoff, D., Sengupta, A., Hu, W., Simpson, M., Weihs, R., Papadopoulos, C., Mulrooney, P., Kawzenuk, B., Mascioli, N., Ralph, F.M. 2024: Deep Learning of a 200-member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events, submitted to MWR, under review.

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Python codes for the Deep learning algorithm for MWR paper "Deep Learning of a 200-member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events"

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