Preprints
https://doi.org/10.5194/egusphere-2025-6377
https://doi.org/10.5194/egusphere-2025-6377
16 Apr 2026
 | 16 Apr 2026
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Comparison of tomographic wind retrievals with different geometric implementations for multistatic meteor radar networks

Loretta Pearl Poku, Gunter Stober, Witali Krochin, Alan Liu, Alexander Kozlovsky, Diego Janches, Jie Zeng, Wen Yi, Masaki Tsutsumi, Njål Gulbrandsen, Satonori Nozawa, Mark Lester, Johan Kero, and Nicholas Mitchell

Abstract. A growing number of multistatic meteor radar networks are being established worldwide. The multistatic geometry with overlapping observation volumes of several meteor radars or passive receivers permits the inference of higher-order kinematic properties of the wind field or even the retrieval of arbitrary wind fields using tomographic algorithms. Furthermore, there is the long-standing question of the reliability of the vertical wind. In this study, we present a novel Volume Velocity Processing in spherical coordinates and perform an initial cross-comparison to previous implementations of the Volume Velocity Processing and the advanced 3DVAR+DIV retrieval. We performed a detailed climatological and multiyear comparison of mean winds, horizontal divergence, relative vorticity, stretching, and shearing deformation using observations of the Nordic Meteor Radar Cluster consisting of the meteor radars at Tromsø, Alta, Kiruna, and Sodankylä. Our results underscore that the spherical implementation of Volume Velocity Processing reduces/minimizes altitude-dependent biases caused by projection errors resulting from an incomplete representation of the observation geometry in the mean horizontal and vertical winds. All algorithms exhibit a very high correlation for the mean horizontal winds, but we found substantial differences in the vertical wind velocity and for the higher-order kinematic properties between the novel algorithm compared to previous versions of the Volume Velocity Processing. Furthermore, the novel algorithm reproduces a consistent seasonal pattern of the vertical velocity with upwelling during the hemispheric summer at the altitude of the zonal wind reversal and a corresponding but weaker downwelling during the winter months. The magnitudes of the vertical wind appear to be physically consistent with theoretically expected upward and downward motions and are in the order of a few cm/s. We also identified a scaling effect of the vertical wind in dependence on the temporal resolution and spatial averaging represented by a circle of influence in the new retrieval, which was confirmed by the measurement response of the 3DVAR+DIV retrieval. The most reliable vertical winds were obtained for a temporal resolution of 15–30 minutes and a spatial domain of about 200–250 km centered between all meteor radars of the Nordic Meteor Radar Cluster.

Competing interests: Wen Yi is a member of the editorial board of Atmospheric Measurement Techniques.

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
Loretta Pearl Poku, Gunter Stober, Witali Krochin, Alan Liu, Alexander Kozlovsky, Diego Janches, Jie Zeng, Wen Yi, Masaki Tsutsumi, Njål Gulbrandsen, Satonori Nozawa, Mark Lester, Johan Kero, and Nicholas Mitchell

Status: open (until 21 May 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Loretta Pearl Poku, Gunter Stober, Witali Krochin, Alan Liu, Alexander Kozlovsky, Diego Janches, Jie Zeng, Wen Yi, Masaki Tsutsumi, Njål Gulbrandsen, Satonori Nozawa, Mark Lester, Johan Kero, and Nicholas Mitchell
Loretta Pearl Poku, Gunter Stober, Witali Krochin, Alan Liu, Alexander Kozlovsky, Diego Janches, Jie Zeng, Wen Yi, Masaki Tsutsumi, Njål Gulbrandsen, Satonori Nozawa, Mark Lester, Johan Kero, and Nicholas Mitchell
Metrics will be available soon.
Latest update: 16 Apr 2026
Download
Short summary
This study presents 3D spatially resolved wind fields in the MLT using advanced retrieval techniques. Specifically, a novel SVVP method in spherical coordinates to enhance the physical consistency of wind retrievals compared to the conventional VVP method in plane geometry and the 3DVAR+DIV method. The SVVP provides a robust framework for future MLT dynamics studies, and the 3DVAR+DIV retrieval is beneficial for high-resolution case studies due to its ability to capture small-scale variability.
Share