Atmospheric Tomography Using the Nordic Meteor Radar Cluster and Chilean Observation Network De Meteor Radars: Network Details 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, Liu, Alan, Qiao, Zishun, Kozlovsky, Alexander, Tsutsumi, Masaki, Hall, Chris, Nozawa, Satonori, Lester, Mark, Belova, Evgenia, Kero, Johan, Espy, Patrick J., Hibbins, Robert E., Mitchell, Nicholas
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Published: SelectedWorks 2023
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Online Access:https://works.bepress.com/alanliu/210
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spelling ftembryriddleaun:oai:works.bepress.com:alanliu-10300 2023-10-01T03:54:12+02:00 Atmospheric Tomography Using the Nordic Meteor Radar Cluster and Chilean Observation Network De Meteor Radars: Network Details and 3DVAR Retrieval Stober, Gunter Liu, Alan Qiao, Zishun Kozlovsky, Alexander Tsutsumi, Masaki Hall, Chris Nozawa, Satonori Lester, Mark Belova, Evgenia Kero, Johan Espy, Patrick J. Hibbins, Robert E. Mitchell, Nicholas 2023-08-22T21:33:25Z https://works.bepress.com/alanliu/210 unknown SelectedWorks https://works.bepress.com/alanliu/210 Alan Z Liu Atmospheric Sciences Physical Sciences and Mathematics text 2023 ftembryriddleaun 2023-09-02T19:06:06Z 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 5 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 k −3 and divergent k 10 −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 Embry-Riddle Aeronautical University: ERAU Scholarly Commons Arctic Norway Svalbard
institution Open Polar
collection Embry-Riddle Aeronautical University: ERAU Scholarly Commons
op_collection_id ftembryriddleaun
language unknown
topic Atmospheric Sciences
Physical Sciences and Mathematics
spellingShingle Atmospheric Sciences
Physical Sciences and Mathematics
Stober, Gunter
Liu, Alan
Qiao, Zishun
Kozlovsky, Alexander
Tsutsumi, Masaki
Hall, Chris
Nozawa, Satonori
Lester, Mark
Belova, Evgenia
Kero, Johan
Espy, Patrick J.
Hibbins, Robert E.
Mitchell, Nicholas
Atmospheric Tomography Using the Nordic Meteor Radar Cluster and Chilean Observation Network De Meteor Radars: Network Details and 3DVAR Retrieval
topic_facet Atmospheric Sciences
Physical Sciences and Mathematics
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 5 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 k −3 and divergent k 10 −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
Liu, Alan
Qiao, Zishun
Kozlovsky, Alexander
Tsutsumi, Masaki
Hall, Chris
Nozawa, Satonori
Lester, Mark
Belova, Evgenia
Kero, Johan
Espy, Patrick J.
Hibbins, Robert E.
Mitchell, Nicholas
author_facet Stober, Gunter
Liu, Alan
Qiao, Zishun
Kozlovsky, Alexander
Tsutsumi, Masaki
Hall, Chris
Nozawa, Satonori
Lester, Mark
Belova, Evgenia
Kero, Johan
Espy, Patrick J.
Hibbins, Robert E.
Mitchell, Nicholas
author_sort Stober, Gunter
title Atmospheric Tomography Using the Nordic Meteor Radar Cluster and Chilean Observation Network De Meteor Radars: Network Details and 3DVAR Retrieval
title_short Atmospheric Tomography Using the Nordic Meteor Radar Cluster and Chilean Observation Network De Meteor Radars: Network Details and 3DVAR Retrieval
title_full Atmospheric Tomography Using the Nordic Meteor Radar Cluster and Chilean Observation Network De Meteor Radars: Network Details and 3DVAR Retrieval
title_fullStr Atmospheric Tomography Using the Nordic Meteor Radar Cluster and Chilean Observation Network De Meteor Radars: Network Details and 3DVAR Retrieval
title_full_unstemmed Atmospheric Tomography Using the Nordic Meteor Radar Cluster and Chilean Observation Network De Meteor Radars: Network Details and 3DVAR Retrieval
title_sort atmospheric tomography using the nordic meteor radar cluster and chilean observation network de meteor radars: network details and 3dvar retrieval
publisher SelectedWorks
publishDate 2023
url https://works.bepress.com/alanliu/210
geographic Arctic
Norway
Svalbard
geographic_facet Arctic
Norway
Svalbard
genre Arctic
Svalbard
genre_facet Arctic
Svalbard
op_source Alan Z Liu
op_relation https://works.bepress.com/alanliu/210
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