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Meteorological conditions during periods of low wind speed and insolation in Germany: The role of weather regimes

Mockert, Fabian 1; Grams, Christian M. 1; Brown, Tom 2; Neumann, Fabian 2
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
2 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

Renewable power generation from wind and solar energy is strongly dependent on the weather. To plan future sustainable energy systems that are robust to weather variability, a better understanding of why and when periods of low wind and solar power output occur is valuable. We call such periods of low wind speed and insolation “Dunkelflauten”, the German word for “dark wind lulls”. In this article, we analyse the meteorological conditions during Dunkelflauten in Germany by applying the concept of weather regimes. Weather regimes are quasi-stationary, recurrent and persistent large-scale circulation patterns that explain multi-day atmospheric variability (5–15 days). We use a regime definition that allows us to distinguish four different types of blocked regimes, characterized by high-pressure situations in the North Atlantic-European region. We find that Dunkelflauten in Germany occur mainly in winter when the solar power output is low due to the seasonal cycle of solar irradiance and wind power output drops for several consecutive days. A high-pressure system over Germany, associated with the European Blocking regime, is responsible for most of the Dunkelflauten. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000161779
Veröffentlicht am 29.08.2023
Originalveröffentlichung
DOI: 10.1002/met.2141
Scopus
Zitationen: 2
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 07.2023
Sprache Englisch
Identifikator ISSN: 1350-4827, 1469-8080
KITopen-ID: 1000161779
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Meteorological Applications
Verlag John Wiley and Sons
Band 30
Heft 4
Seiten Art.Nr.: e2141
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 21.07.2023
Schlagwörter Dunkelflauten, energy demand, predictability, renewable energies, subseasonal prediction, weather regimes
Nachgewiesen in Web of Science
Dimensions
Scopus
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