EMS Annual Meeting Abstracts
Vol. 18, EMS2021-464, 2021
https://doi.org/10.5194/ems2021-464
EMS Annual Meeting 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

The  regional reanalysis COSMO-REA6 and its transdisciplinary applications

Andreas Hense1 and the The Bonn/Cologne group of Hans Ertel Center for Weather Research*
Andreas Hense and the The Bonn/Cologne group of Hans Ertel Center for Weather Research
  • 1Meteorology Section, Institute of Geosciences, University of Bonn, Germany
  • *A full list of authors appears at the end of the abstract

In recent years, the reanalysis efforts have been focused on increasing the spatio-temporal resolution to better capture the variability of the atmospheric state between the mesoβ up to synoptic scales. An approach to gain a substantial increase in horizontal resolution are regional reanalyses which utilize a limited area model instead of a global one and thus focus on a specific region of the world. For the European continent several regional reanalyses are now available, e.g., HARMONIE (11km) or COSMO-REA6 (6km).

This work presents ongoing work of a variety of applications and evaluations made possible through the hourly 6km data of the COSMO-REA6 reanalysis product. 
Snow and precipitation analysis and events are going to represent better the smaller scales. Here we will show the representation of the scaling properties of the precipitation extremes and an evaluation of the 2005 extreme early winter snow event which happened in Western Germany.  With this reanalysis we also investigated the potential of season identification, finding that gridpoint-wise vertical temperature and wind information provides efficient ways to classify probabilistically a single day into a specific season.  Moreover, the calculation of the bio-climatic variables from COSMO-REA6 allowed the comparison with the Worldclim 2.0 dataset. The main advantage of the newly derived bio-climatic variables is the internal consistency between the temperature and precipitation-related variables. Furthermore, from the increment analysis, we investigate the soil moisture biases and how they relate to the missing representation of irrigation processes in the COSMO model. Results show that there is a similarity in the specific humidity increments and both the irrigation annual cycle and spatial distribution of irrigated areas. With physically consistent spatio-temporal fields it is possible to investigate human discomfort measurements and their relation to temperature indexes. Lastly, extended use of the COSMO-REA6 data was made for renewable energy applications both for wind turbines and photovoltaic cells. The examples given in this presentation will highlight the general potential of high-resolution reanalyses to be part of transdisciplinary problems related to climate and weather variability.  

The Bonn/Cologne group of Hans Ertel Center for Weather Research:

Susanne Crewell, Berit Czock, Viola Dost, Philipp Ertz, Stephanie Fiedler, Clarissa Figura, Christopher Frank, Petra Friederichs, Martin Hintermayer, Linh Ho, Jan Keller, Ulrich Loehnert, Eduardo Weide Luiz, Franka Nawrath, Tatiana Nomokonova, Christian Rosell, Lukas Schmidt, Julian Steinheuer, Arianna Valmassoi, Sabrina Wahl, Martin Wittenbrink, Manuel Zange

How to cite: Hense, A. and the The Bonn/Cologne group of Hans Ertel Center for Weather Research: The  regional reanalysis COSMO-REA6 and its transdisciplinary applications, EMS Annual Meeting 2021, online, 6–10 Sep 2021, EMS2021-464, https://doi.org/10.5194/ems2021-464, 2021.

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