EGUsphere EGUsphere EGUsphere EGUsphere Copernicus Publications Göttingen, Germany 10.5194/egusphere-2025-6377 Comparison of tomographic wind retrievals with different geometric implementations for multistatic meteor radar networks Poku Loretta Pearl https://orcid.org/0000-0002-8121-6692 1 2 Stober Gunter https://orcid.org/0000-0002-7909-6345 1 2 Krochin Witali https://orcid.org/0000-0002-3538-8143 1 2 Liu Alan 3 Kozlovsky Alexander https://orcid.org/0000-0003-1468-7600 4 Janches Diego 5 Zeng Jie https://orcid.org/0000-0002-3146-3281 6 7 8 Yi Wen https://orcid.org/0000-0003-3717-6811 6 7 8 Tsutsumi Masaki https://orcid.org/0000-0003-0113-8311 9 10 Gulbrandsen Njål 11 Nozawa Satonori 12 Lester Mark 13 Kero Johan https://orcid.org/0000-0002-2177-6751 14 Mitchell Nicholas 15 16 Institute of Applied Physics, University of Bern, Switzerland Oeschger Center for Climate Change Research, University of Bern, Switzerland Center for Space and Atmospheric Research, Department of Physical Sciences, Embry-Riddle Aeronautical University, Daytona Beach, Florida, USA Sodankylä Geophysical Observatory, University of Oulu, Oulu, Finland ITM Physics Laboratory, Mail Code 675, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA National Key Laboratory of Deep Space Exploration, School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China CAS Center for Excellence in Comparative Planetology, University of Science and Technology of China, Hefei, China Anhui Mengcheng National Geophysical Observatory and Research Station, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China National Institute of Polar Research, Tachikawa, Japan The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan Tromsø Geophysical Observatory UiT – The Arctic University of Norway, Tromsø, Norway Institute for Space-Earth Environmental Research, Nagoya University, Japan Department of Physics and Astronomy, University of Leicester, Leicester, UK Swedish Institute of Space Physics (IRF), Kiruna, Sweden British Antarctic Survey, Cambridge, UK Department of Physics and Astronomy, University of Leicester, Leicester, UK 16 04 2026 2026 1 32 Copyright: © 2026 Loretta Pearl Poku et al. 2026 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2025-6377/ The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2025-6377/egusphere-2025-6377.pdf

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.

 Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 200021L-228107