Atmospheric tomography using the Nordic Meteor Radar Cluster and Chilean Observation Network de Meteor Radars: Network details and 3D-Var retrieval
Ground-based remote sensing of atmospheric parameters is often limited to single station observations by vertical profiles at a certain geographic location. This is a limiting factor for investigating gravity wave dynamics as the spatial information is often missing, e.g., horizontal wavelength, pro...
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2829851 2023-05-15T15:10:28+02:00 Atmospheric tomography using the Nordic Meteor Radar Cluster and Chilean Observation Network de Meteor Radars: Network details and 3D-Var retrieval Stober, Gunter Kozlovsky, A. Liu, Alan Qiao, Zishun Tsutsumi, Masaki Hall, Chris Nozawa, Satonori Lester, Mark Belova, Evgenia Kero, Johan Espy, Patrick Joseph Hibbins, Robert E. Mitchell, N. 2021 application/pdf https://hdl.handle.net/11250/2829851 https://doi.org/10.5194/amt-14-6509-2021 eng eng European Geosciences Union Atmospheric Measurement Techniques. 2021, 14 (10), 6509-6532. urn:issn:1867-1381 https://hdl.handle.net/11250/2829851 https://doi.org/10.5194/amt-14-6509-2021 cristin:1950801 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no CC-BY 6509-6532 14 Atmospheric Measurement Techniques 10 Peer reviewed Journal article 2021 ftntnutrondheimi https://doi.org/10.5194/amt-14-6509-2021 2021-11-17T23:36:01Z Ground-based remote sensing of atmospheric parameters is often limited to single station observations by vertical profiles at a certain geographic location. This is a limiting factor for investigating gravity wave dynamics as the spatial information is often missing, e.g., horizontal wavelength, propagation direction or intrinsic frequency. In this study, we present a new retrieval algorithm for multistatic meteor radar networks to obtain tomographic 3-D wind fields within a pre-defined domain area. The algorithm is part of the Agile Software for Gravity wAve Regional Dynamics (ASGARD) and called 3D-Var, and based on the optimal estimation technique and Bayesian statistics. The performance of the 3D-Var 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 provide statistically sound solutions and 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 rotational k−3 and divergent k−5/3 mode at scales of 80–120 km. In addition, we 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 3D-Var algorithm to perform large-scale retrievals to derive meteorological wind maps covering a latitude region from Svalbard, north of the European Arctic mainland, to central Norway. publishedVersion Article in Journal/Newspaper Arctic Svalbard NTNU Open Archive (Norwegian University of Science and Technology) Arctic Norway Svalbard Atmospheric Measurement Techniques 14 10 6509 6532 |
institution |
Open Polar |
collection |
NTNU Open Archive (Norwegian University of Science and Technology) |
op_collection_id |
ftntnutrondheimi |
language |
English |
description |
Ground-based remote sensing of atmospheric parameters is often limited to single station observations by vertical profiles at a certain geographic location. This is a limiting factor for investigating gravity wave dynamics as the spatial information is often missing, e.g., horizontal wavelength, propagation direction or intrinsic frequency. In this study, we present a new retrieval algorithm for multistatic meteor radar networks to obtain tomographic 3-D wind fields within a pre-defined domain area. The algorithm is part of the Agile Software for Gravity wAve Regional Dynamics (ASGARD) and called 3D-Var, and based on the optimal estimation technique and Bayesian statistics. The performance of the 3D-Var 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 provide statistically sound solutions and 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 rotational k−3 and divergent k−5/3 mode at scales of 80–120 km. In addition, we 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 3D-Var algorithm to perform large-scale retrievals to derive meteorological wind maps covering a latitude region from Svalbard, north of the European Arctic mainland, to central Norway. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Stober, Gunter Kozlovsky, A. Liu, Alan Qiao, Zishun Tsutsumi, Masaki Hall, Chris Nozawa, Satonori Lester, Mark Belova, Evgenia Kero, Johan Espy, Patrick Joseph Hibbins, Robert E. Mitchell, N. |
spellingShingle |
Stober, Gunter Kozlovsky, A. Liu, Alan Qiao, Zishun Tsutsumi, Masaki Hall, Chris Nozawa, Satonori Lester, Mark Belova, Evgenia Kero, Johan Espy, Patrick Joseph Hibbins, Robert E. Mitchell, N. Atmospheric tomography using the Nordic Meteor Radar Cluster and Chilean Observation Network de Meteor Radars: Network details and 3D-Var retrieval |
author_facet |
Stober, Gunter Kozlovsky, A. Liu, Alan Qiao, Zishun Tsutsumi, Masaki Hall, Chris Nozawa, Satonori Lester, Mark Belova, Evgenia Kero, Johan Espy, Patrick Joseph Hibbins, Robert E. Mitchell, N. |
author_sort |
Stober, Gunter |
title |
Atmospheric tomography using the Nordic Meteor Radar Cluster and Chilean Observation Network de Meteor Radars: Network details and 3D-Var retrieval |
title_short |
Atmospheric tomography using the Nordic Meteor Radar Cluster and Chilean Observation Network de Meteor Radars: Network details and 3D-Var retrieval |
title_full |
Atmospheric tomography using the Nordic Meteor Radar Cluster and Chilean Observation Network de Meteor Radars: Network details and 3D-Var retrieval |
title_fullStr |
Atmospheric tomography using the Nordic Meteor Radar Cluster and Chilean Observation Network de Meteor Radars: Network details and 3D-Var retrieval |
title_full_unstemmed |
Atmospheric tomography using the Nordic Meteor Radar Cluster and Chilean Observation Network de Meteor Radars: Network details and 3D-Var retrieval |
title_sort |
atmospheric tomography using the nordic meteor radar cluster and chilean observation network de meteor radars: network details and 3d-var retrieval |
publisher |
European Geosciences Union |
publishDate |
2021 |
url |
https://hdl.handle.net/11250/2829851 https://doi.org/10.5194/amt-14-6509-2021 |
geographic |
Arctic Norway Svalbard |
geographic_facet |
Arctic Norway Svalbard |
genre |
Arctic Svalbard |
genre_facet |
Arctic Svalbard |
op_source |
6509-6532 14 Atmospheric Measurement Techniques 10 |
op_relation |
Atmospheric Measurement Techniques. 2021, 14 (10), 6509-6532. urn:issn:1867-1381 https://hdl.handle.net/11250/2829851 https://doi.org/10.5194/amt-14-6509-2021 cristin:1950801 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/amt-14-6509-2021 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
14 |
container_issue |
10 |
container_start_page |
6509 |
op_container_end_page |
6532 |
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1766341495381557248 |