Preprints
https://doi.org/10.5194/wes-2025-144
https://doi.org/10.5194/wes-2025-144
29 Aug 2025
 | 29 Aug 2025
Status: this preprint is currently under review for the journal WES.

Characterizing atmospheric stability in complex terrain

Nathan J. Agarwal and Julie K. Lundquist

Abstract. Characterizing atmospheric stability becomes challenging in heterogeneous complex terrain. We use data from 47 meteorological towers associated with the Perdigão field campaign to recommend data processing approaches and to assess the limitations of shorter or fewer towers. We quantify atmospheric stability according to the Obukhov length, the turbulence kinetic energy, and the turbulence dissipation rate using a range of decomposition periods including consistent 10 minute periods to match convention in the wind energy community and consistent 30 minute periods to match convention in the atmospheric science community. Atmospheric stability characterization is impacted by the Reynolds decomposition period, so care should be taken to use appropriate intervals. Additionally, 10 m measurements do not provide reliable 100 m hub-height stability predictions. Finally, we demonstrate a methodology that can indicate the necessary number and location of towers to characterize atmospheric stability. Holistically, this work addresses challenges in relying on sparse surface measurements.

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.
Share
Nathan J. Agarwal and Julie K. Lundquist

Status: open (until 26 Sep 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Nathan J. Agarwal and Julie K. Lundquist
Nathan J. Agarwal and Julie K. Lundquist
Metrics will be available soon.
Latest update: 29 Aug 2025
Download
Short summary
Areas with mountains and valleys can either be beneficial or challenging for wind energy applications, depending on the wind patterns. Unfortunately, predicting wind patterns in these areas is also challenging and investing in measurement towers to improve wind forecasts can be expensive. We evaluate ways that wind farm developers and other stakeholders interested in improving atmospheric forecasts in these areas can do so in a more cost-effective way.
Share
Altmetrics