Atmospheric tomography using the Nordic Meteor Radar Clusterand Chilean Observation Network De Meteor Radars: networkdetails and 3DVAR retrieval

Ground-based remote sensing of atmospheric parameters is often limited to single station observations of vertical profiles at a certain geographic location. This can be a limiting factor to investigating gravity wave dynamics. In this study we present a new retrieval algorithm for multi-static meteo...

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Main Authors: Stober, Gunter, Kozlovsky, Alexander, Liu, Alan, Qiao, Zishun, Tsutsumi, Masaki, Hall, Chris, Nozawa, Satonori, Lester, Mark, Belova, Evgenia, Kero, Johan, Espy, Patrick J., Hibbons, Robert E., Mitchell, Nicholas
Format: Text
Language:English
Published: 2021
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Online Access:https://doi.org/10.5194/amt-2021-124
https://amt.copernicus.org/preprints/amt-2021-124/
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spelling ftcopernicus:oai:publications.copernicus.org:amtd94419 2023-05-15T15:10:10+02:00 Atmospheric tomography using the Nordic Meteor Radar Clusterand Chilean Observation Network De Meteor Radars: networkdetails and 3DVAR retrieval Stober, Gunter Kozlovsky, Alexander Liu, Alan Qiao, Zishun Tsutsumi, Masaki Hall, Chris Nozawa, Satonori Lester, Mark Belova, Evgenia Kero, Johan Espy, Patrick J. Hibbons, Robert E. Mitchell, Nicholas 2021-05-17 application/pdf https://doi.org/10.5194/amt-2021-124 https://amt.copernicus.org/preprints/amt-2021-124/ eng eng doi:10.5194/amt-2021-124 https://amt.copernicus.org/preprints/amt-2021-124/ eISSN: 1867-8548 Text 2021 ftcopernicus https://doi.org/10.5194/amt-2021-124 2021-05-24T16:22:15Z Ground-based remote sensing of atmospheric parameters is often limited to single station observations of vertical profiles at a certain geographic location. This can be a limiting factor to investigating gravity wave dynamics. In this study we present a new retrieval algorithm for multi-static meteor radar networks to obtain tomographic 3D wind fields within a pre-defined domain area. The algorithm is part of the Agile Software for Gravity wAve Regional Dynamics (ASGARD) called 3DVAR, and based on the optimal estimation technique and Bayesian statistics. The performance of the 3DVAR retrieval is demonstrated using two meteor radar networks, the Nordic Meteor Radar Cluster and the Chilean Observation Network De MeteOr Radars (CONDOR). The optimal estimation implementation provides a statistically sound solution and additional diagnostics from the averaging kernels and measurement response. We present initial scientific results such as body forces of breaking gravity waves leading to two counter-rotating vortices and horizontal wavelength spectra indicating a transition between the vortical κ −3 and divergent κ −5/3 mode at scales of 80–120 km. In addition, we have performed a keogram analysis over extended periods to reflect the latitudinal and temporal impact of a minor sudden stratospheric warming in December 2019. Finally, we demonstrate the applicability of the 3DVAR algorithm to perform large-scale retrievals to derive meteorological wind maps covering a latitude region from Svalbard, north of the European Arctic mainland, to mid-Norway. Text Arctic Svalbard Copernicus Publications: E-Journals Arctic Norway Svalbard
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Ground-based remote sensing of atmospheric parameters is often limited to single station observations of vertical profiles at a certain geographic location. This can be a limiting factor to investigating gravity wave dynamics. In this study we present a new retrieval algorithm for multi-static meteor radar networks to obtain tomographic 3D wind fields within a pre-defined domain area. The algorithm is part of the Agile Software for Gravity wAve Regional Dynamics (ASGARD) called 3DVAR, and based on the optimal estimation technique and Bayesian statistics. The performance of the 3DVAR retrieval is demonstrated using two meteor radar networks, the Nordic Meteor Radar Cluster and the Chilean Observation Network De MeteOr Radars (CONDOR). The optimal estimation implementation provides a statistically sound solution and additional diagnostics from the averaging kernels and measurement response. We present initial scientific results such as body forces of breaking gravity waves leading to two counter-rotating vortices and horizontal wavelength spectra indicating a transition between the vortical κ −3 and divergent κ −5/3 mode at scales of 80–120 km. In addition, we have performed a keogram analysis over extended periods to reflect the latitudinal and temporal impact of a minor sudden stratospheric warming in December 2019. Finally, we demonstrate the applicability of the 3DVAR algorithm to perform large-scale retrievals to derive meteorological wind maps covering a latitude region from Svalbard, north of the European Arctic mainland, to mid-Norway.
format Text
author Stober, Gunter
Kozlovsky, Alexander
Liu, Alan
Qiao, Zishun
Tsutsumi, Masaki
Hall, Chris
Nozawa, Satonori
Lester, Mark
Belova, Evgenia
Kero, Johan
Espy, Patrick J.
Hibbons, Robert E.
Mitchell, Nicholas
spellingShingle Stober, Gunter
Kozlovsky, Alexander
Liu, Alan
Qiao, Zishun
Tsutsumi, Masaki
Hall, Chris
Nozawa, Satonori
Lester, Mark
Belova, Evgenia
Kero, Johan
Espy, Patrick J.
Hibbons, Robert E.
Mitchell, Nicholas
Atmospheric tomography using the Nordic Meteor Radar Clusterand Chilean Observation Network De Meteor Radars: networkdetails and 3DVAR retrieval
author_facet Stober, Gunter
Kozlovsky, Alexander
Liu, Alan
Qiao, Zishun
Tsutsumi, Masaki
Hall, Chris
Nozawa, Satonori
Lester, Mark
Belova, Evgenia
Kero, Johan
Espy, Patrick J.
Hibbons, Robert E.
Mitchell, Nicholas
author_sort Stober, Gunter
title Atmospheric tomography using the Nordic Meteor Radar Clusterand Chilean Observation Network De Meteor Radars: networkdetails and 3DVAR retrieval
title_short Atmospheric tomography using the Nordic Meteor Radar Clusterand Chilean Observation Network De Meteor Radars: networkdetails and 3DVAR retrieval
title_full Atmospheric tomography using the Nordic Meteor Radar Clusterand Chilean Observation Network De Meteor Radars: networkdetails and 3DVAR retrieval
title_fullStr Atmospheric tomography using the Nordic Meteor Radar Clusterand Chilean Observation Network De Meteor Radars: networkdetails and 3DVAR retrieval
title_full_unstemmed Atmospheric tomography using the Nordic Meteor Radar Clusterand Chilean Observation Network De Meteor Radars: networkdetails and 3DVAR retrieval
title_sort atmospheric tomography using the nordic meteor radar clusterand chilean observation network de meteor radars: networkdetails and 3dvar retrieval
publishDate 2021
url https://doi.org/10.5194/amt-2021-124
https://amt.copernicus.org/preprints/amt-2021-124/
geographic Arctic
Norway
Svalbard
geographic_facet Arctic
Norway
Svalbard
genre Arctic
Svalbard
genre_facet Arctic
Svalbard
op_source eISSN: 1867-8548
op_relation doi:10.5194/amt-2021-124
https://amt.copernicus.org/preprints/amt-2021-124/
op_doi https://doi.org/10.5194/amt-2021-124
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