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Typescript RPC wrapper for the data analytics software framework DASF | Documentation | https://doi.org/10.5880/GFZ.1.4.2021.008

Here the code for the EM Glossary Web Frontend (emglossary.helmholtz-metadaten.de) is developed

Example project used in this workshop. It is an adapted version from another workshop. The original project can be found here.

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.

YAML-driven device instantiation and lifecycle management for Bluesky beamlines, unifying ophyd, ophyd-async, and Python devices via a safe DeviceMap API.

LaTeX test