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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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 |
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Open Polar |
collection |
Copernicus Publications: E-Journals |
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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 |
_version_ |
1766341216349192192 |