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

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 in the higher-order kinematic properties between the novel algorithm and 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 on the order of a few cm s −1 . 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. Wind data retrieved from SSVP and VVP are compared with the Japanese meteorological reanalysis known as JAWARA and SE-WACCM-X model data. The vertical wind patterns observed by the Nordic Meteor Radar Cluster show strong agreement between the two. Robust vertical wind retrievals obtained with a temporal resolution of 15–30 min and within a spatial domain of approximately 200–250 km centered between all meteor radars provide the best compromise between sampling density and spatial averaging for the Nordic Meteor Radar Cluster.

The authors' abstract, as published at the source. Atmospheric measurement techniques, 2026 · DOI ↗