Exploring the possibilities and limitations of global model frameworks using deep learning for groundwater level prediction across worldwide datasets - data and code

This repository provides the data and Python code enabling the reproduction of the results submitted to the manuscript Environmental Modelling & Software.

The folders are structured as follows:- The folder "00Scripts" contains the Python code in Jupyter notebooks for running the models, analyzing the model results (saved to folder "02Results"), and creating plots and tables (saved to folder "03Plots").- The folder "01Data" contains all the data utilized in the Python code ("00Scripts").- The folder "02Results" contains the output of the model runs.- The folder "03Plots" contains plots and tables created from the model outputs ("02Results").

Please refer to the manuscript when citing data or code from this repository and for further information.