Solving land surface model using Neural Physics

This repository contains code to create forward and inverse models using Neural Physics. To help users understand the Neural Physics method, we have included some sample code in the Jupyter notebook Sample code.ipynb. The other folders contain code for the land surface model. Each of the folder contains Jupyter notebooks for the forward/inverse models, output files, and code and figures for visualising results. For code that are run in Google Colab, you may need to subscribe to Colab Pro to ensure there are sufficient computing units.