High-resolution Earth System monitoring and diagnostics for sustainable applications (HIRES-APP)
The project HIRES-APP (2024–2027) of the Hans-Ertel-Centre for Weather Research (HErZ) is a joint research group of the Universities of Bonn, Cologne and Tübingen. Our research aims at providing basic research for the German Meteorological Service (Deutscher Wetterdienst, DWD) and to initiate and support new developments within DWD. We contribute primarily to the HErZ competence areas Climate monitoring and Earth system forecasting with contributions to Data assimilation and predictability as well as Optimal use of weather and climate information.
Specifically, we aim to derive and apply novel vertical profiling methods in the Atmospheric Boundary Layer (ABL) and evaluate their impact on high-resolution regional (re)analysis and consequently also on short-term weather forecasts. For this we are currently organizing the VITAL I measurement campaign to be carried out in August 2024 at Research Center Jülich. In parallel, the HErZ 2024 Summer School on Modern Methods for Atmospheric Profiling will take place.
HIRES-APP will also contribute to optimally exploiting weather and climate information for society. With our partner EWI (Institute of Energy Economics at the University of Cologne), a stakeholder-oriented energy index that quantifies the impact of weather events on the energy system will be developed. The index will serve to communicate forecasts of different time scales to relevant energy system stakeholders.
HErZ Cologne/Bonn Legacy
HIRES-APP builds upon the legacy of three former HErZ funding phases at the Universities of Cologne and Bonn — the former HErZ for Climate Monitoring and Diagnostics, in which the COSMO reanalyses were initially developed and applied in the context of renewable energy applications.
We continue the work of the previous phases using reanalyses for renewable energy assessments in Germany and Europe. This includes climatological assessments of potential challenges in the production of renewable power, e.g., meteorological situations that are associated with minima in both solar and wind power generation. Further, we explore the limits of meteorological resources for renewable power production on different scales.
A further focus remains on Statistical Post-Processing Approaches in Earth System models.