Explore projects
-
Updated
-
-
-
Updated
-
-
Updated
-
Updated
-
Updated
-
Updated
-
Updated
-
Evaluation Suite (EvaSuite) is a modular software framework for the standardised evaluation of regional climate model (RCM) simulations against observational and reference datasets, including model sensitivity analysis. It is designed for high-performance computing platforms and addresses the need for transparent, reproducible, and flexible evaluation workflows for RCMs. EvaSuite combines data harmonisation, spatial and temporal remapping, statistical evaluation, and visualisation within a unified fully configurable, end-to-end workflow. EvaSuite is an open-source evaluation framework maintained by the CLM-Community. It provides a covering preprocessing, regridding, statistical evaluation, and visualization.
Updated -
-
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.
Updated -
Updated
-
Updated
-
-
Standalone addone which can be used for EvaSuite
Updated