Preprints
https://doi.org/10.5194/wes-2026-114
https://doi.org/10.5194/wes-2026-114
28 Jul 2026
 | 28 Jul 2026
Status: this preprint is currently under review for the journal WES.

Dual-Doppler Radar Characterization during the Krummendeich Field Experiment: A Campaign Overview and Performance Assessment

Arianna Marie Jordan, Lin-Ya Hung, Gerrit Wolken-Möhlmann, and Julia Gottschall

Abstract. The Krummendeich campaign in northern Germany was a field experiment designed to test dual-Doppler radar (DDR) technology for resolving flow fields. The campaign took place at the WiValdi research wind farm containing two operating turbines. Throughout the measurement period, a comprehensive observational network consisted of DDR, scanning and profiling lidars, a microwave radiometer, a meteorological mast, and laser disdrometers. Capitalizing on these datasets, the study herein offers an overview of the campaign while demonstrating the utility of the DDR method as a wind measurement tool for wind energy applications, specifically. This is done through validations against a co-located Doppler scanning lidar, assessments of data availability across meteorological conditions, and analyses of the method's capability to resolve flow features, i.e., turbine wake signatures. The site's temperate maritime climate, marked by frequent precipitation and wind direction-dependent stability regimes, provided a naturally diverse atmospheric environment for testing the method across conditions relevant to central European wind energy deployments. Validation showed great agreement with scanning lidar across most height levels, with discrepancies mainly occurring at near-surface levels. Hydrometeor presence strongly governed data availability, where precipitating periods sustained near-complete domain coverage. While radar returns were occasionally affected by artifacts even during otherwise well-covered scans, the method successfully captured both low-level jet and turbine wake within its flow field. Together, these results performance verification contribute to a continuously growing body of evidence supporting DDR as a viable and scalable tool for wind energy research and industry, with plans for deeper analysis and additional fieldwork to follow.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Wind Energy Science.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Arianna Marie Jordan, Lin-Ya Hung, Gerrit Wolken-Möhlmann, and Julia Gottschall

Status: open (until 25 Aug 2026)

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Arianna Marie Jordan, Lin-Ya Hung, Gerrit Wolken-Möhlmann, and Julia Gottschall
Arianna Marie Jordan, Lin-Ya Hung, Gerrit Wolken-Möhlmann, and Julia Gottschall
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Latest update: 28 Jul 2026
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Short summary
Wind energy needs accurate airflow tools around turbines. We tested dual-Doppler radar at a research wind farm in Germany alongside lidar (a point-based wind sensor). The method matched lidar well at most heights and mapped wind shadows behind turbines, including wake meandering. Data quality depended on rainfall, with rainy periods giving the best coverage and fog the worst. This information is useful for implementation of dual-Doppler radar as a wind measurement tool for the industry.
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