Explore projects

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.

Documentation: https://dkrz-sw.gitlab-pages.dkrz.de/hiopy/index.html

Versions CORDEX-CMIP6 CMORisation scripts & configuration for CLMcom models (ICON-CLM, CCLM, ...). Includes / Links to the official CORDEX-CMIP6 CMOR tables as submodule.

icon memory management in C/C++ implementation

This repository provides a template for creating scalable, maintainable, and well-structured Freva plugins.

Barrier-free RCM data, representative for heat events, for urban impact models.

Postprocessing, Diagnostic Analysis and Jupyter Notebook visualisation

ICON submodule for EMVORADO radar forward operator

The PlotSmart package uses pre-processed by EvaSuite netCDF files to create easily adjustable tables of high-quality 2D maps.