Explore projects

Put the TSM building blocks together.

An introductory course for programming with Python

Materials of the workshop Introduction to Git and GitLab. You can find the reference website here: https://hifis.net/workshop-materials/git-intro/

The Linear Meta-Model optimization (LiMMo) is a Python-tool designed for the objective tuning of regional climate models (RCM) and numerical weather prediction models (NWPM) to gridded observational datasets.

In this approach, the surface 2D output of the RCM/NWPM is approximated using regression method (linear, piecewise-linear, quadratic). A user-defined error norm, which quantifies the difference between the regression approximation and the observations, is then minimized using a gradient-based optimization method.

The source code of the HIFIS homepage. --> https://hifis.net