Overview

DE_374h

This contract develops and implements a machine learning-based system to integrate multiple forecast model outputs into a single, optimised product. The key objective is to improve the accuracy and reliability of forecasts for critical near-surface parameters (temperature, humidity, wind). It builds on a DWD data assimilation model (SynCast) and will test the value of including highres DT Extremes data into the integrated dataset.

Provider

The provider for this contract is National Meteorological Service of Germany

Subcontractors