Derivation of turbulent energy dissipation rate with the Middle Atmosphere Alomar Radar System (MAARSY) and radiosondes at Andøya, Norway
We present the derivation of turbulent energy dissipation rate ε from a total of 522 days of observations with the Middle Atmosphere Alomar Radar SYstem (MAARSY) mesosphere–stratosphere–troposphere (MST) radar running tropospheric experiments during the period of 2010–2013 as well as with balloon-bo...
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Online Access: | https://doi.org/10.34657/1447 https://oa.tib.eu/renate/handle/123456789/4026 |
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ftleibnizopen:oai:oai.leibnizopen.de:G3bfXIkBdbrxVwz6igbf 2023-07-30T03:56:10+02:00 Derivation of turbulent energy dissipation rate with the Middle Atmosphere Alomar Radar System (MAARSY) and radiosondes at Andøya, Norway Li, Qiang Rapp, Markus Schrön, Anne Schneider, Andreas Stober, Gunter 2016 application/pdf https://doi.org/10.34657/1447 https://oa.tib.eu/renate/handle/123456789/4026 eng eng München : European Geopyhsical Union CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ Annales Geophysicae, Volume 34, Issue 12, Page 1209-1229 Meteorology and atmospheric dynamics (middle atmosphere dynamics turbulence waves and tides) 530 article Text 2016 ftleibnizopen https://doi.org/10.34657/1447 2023-07-16T23:27:29Z We present the derivation of turbulent energy dissipation rate ε from a total of 522 days of observations with the Middle Atmosphere Alomar Radar SYstem (MAARSY) mesosphere–stratosphere–troposphere (MST) radar running tropospheric experiments during the period of 2010–2013 as well as with balloon-borne radiosondes based on a campaign in the summer 2013. Spectral widths are converted to ε after the removal of the broadening effects due to the finite beam width of the radar. With the simultaneous in situ measurements of ε with balloon-borne radiosondes at the MAARSY radar site, we compare the ε values derived from both techniques and reach an encouraging agreement between them. Using all the radar data available, we present a preliminary climatology of atmospheric turbulence in the UTLS (upper troposphere and lower stratosphere) region above the MAARSY site showing a variability of more than 5 orders of magnitude inherent in turbulent energy dissipation rates. The derived ε values reveal a log-normal distribution with a negative skewness, and the ε profiles show an increase with height which is also the case for each individual month. Atmospheric turbulence based on our radar measurements reveals a seasonal variation but no clear diurnal variation in the UTLS region. Comparison of ε with the gradient Richardson number Ri shows that only 1.7 % of all the data with turbulence occur under the condition of Ri < 1 and that the values of ε under the condition of Ri < 1 are significantly larger than those under Ri > 1. Further, there is a roughly negative correlation between ε and Ri that is independent of the scale dependence of Ri. Turbulence under active dynamical conditions (velocity of horizontal wind U > 10 m s−1) is significantly stronger than under quiet conditions (U < 10 m s−1). Last but not least, the derived ε values are compared with the corresponding vertical shears of background wind velocity showing a linear relation with a corresponding correlation coefficient r = 58 % well above the 99.9 ... Article in Journal/Newspaper Andøya LeibnizOpen (The Leibniz Association) Alomar ENVELOPE(-67.083,-67.083,-68.133,-68.133) Andøya ENVELOPE(13.982,13.982,68.185,68.185) Norway |
institution |
Open Polar |
collection |
LeibnizOpen (The Leibniz Association) |
op_collection_id |
ftleibnizopen |
language |
English |
topic |
Meteorology and atmospheric dynamics (middle atmosphere dynamics turbulence waves and tides) 530 |
spellingShingle |
Meteorology and atmospheric dynamics (middle atmosphere dynamics turbulence waves and tides) 530 Li, Qiang Rapp, Markus Schrön, Anne Schneider, Andreas Stober, Gunter Derivation of turbulent energy dissipation rate with the Middle Atmosphere Alomar Radar System (MAARSY) and radiosondes at Andøya, Norway |
topic_facet |
Meteorology and atmospheric dynamics (middle atmosphere dynamics turbulence waves and tides) 530 |
description |
We present the derivation of turbulent energy dissipation rate ε from a total of 522 days of observations with the Middle Atmosphere Alomar Radar SYstem (MAARSY) mesosphere–stratosphere–troposphere (MST) radar running tropospheric experiments during the period of 2010–2013 as well as with balloon-borne radiosondes based on a campaign in the summer 2013. Spectral widths are converted to ε after the removal of the broadening effects due to the finite beam width of the radar. With the simultaneous in situ measurements of ε with balloon-borne radiosondes at the MAARSY radar site, we compare the ε values derived from both techniques and reach an encouraging agreement between them. Using all the radar data available, we present a preliminary climatology of atmospheric turbulence in the UTLS (upper troposphere and lower stratosphere) region above the MAARSY site showing a variability of more than 5 orders of magnitude inherent in turbulent energy dissipation rates. The derived ε values reveal a log-normal distribution with a negative skewness, and the ε profiles show an increase with height which is also the case for each individual month. Atmospheric turbulence based on our radar measurements reveals a seasonal variation but no clear diurnal variation in the UTLS region. Comparison of ε with the gradient Richardson number Ri shows that only 1.7 % of all the data with turbulence occur under the condition of Ri < 1 and that the values of ε under the condition of Ri < 1 are significantly larger than those under Ri > 1. Further, there is a roughly negative correlation between ε and Ri that is independent of the scale dependence of Ri. Turbulence under active dynamical conditions (velocity of horizontal wind U > 10 m s−1) is significantly stronger than under quiet conditions (U < 10 m s−1). Last but not least, the derived ε values are compared with the corresponding vertical shears of background wind velocity showing a linear relation with a corresponding correlation coefficient r = 58 % well above the 99.9 ... |
format |
Article in Journal/Newspaper |
author |
Li, Qiang Rapp, Markus Schrön, Anne Schneider, Andreas Stober, Gunter |
author_facet |
Li, Qiang Rapp, Markus Schrön, Anne Schneider, Andreas Stober, Gunter |
author_sort |
Li, Qiang |
title |
Derivation of turbulent energy dissipation rate with the Middle Atmosphere Alomar Radar System (MAARSY) and radiosondes at Andøya, Norway |
title_short |
Derivation of turbulent energy dissipation rate with the Middle Atmosphere Alomar Radar System (MAARSY) and radiosondes at Andøya, Norway |
title_full |
Derivation of turbulent energy dissipation rate with the Middle Atmosphere Alomar Radar System (MAARSY) and radiosondes at Andøya, Norway |
title_fullStr |
Derivation of turbulent energy dissipation rate with the Middle Atmosphere Alomar Radar System (MAARSY) and radiosondes at Andøya, Norway |
title_full_unstemmed |
Derivation of turbulent energy dissipation rate with the Middle Atmosphere Alomar Radar System (MAARSY) and radiosondes at Andøya, Norway |
title_sort |
derivation of turbulent energy dissipation rate with the middle atmosphere alomar radar system (maarsy) and radiosondes at andøya, norway |
publisher |
München : European Geopyhsical Union |
publishDate |
2016 |
url |
https://doi.org/10.34657/1447 https://oa.tib.eu/renate/handle/123456789/4026 |
long_lat |
ENVELOPE(-67.083,-67.083,-68.133,-68.133) ENVELOPE(13.982,13.982,68.185,68.185) |
geographic |
Alomar Andøya Norway |
geographic_facet |
Alomar Andøya Norway |
genre |
Andøya |
genre_facet |
Andøya |
op_source |
Annales Geophysicae, Volume 34, Issue 12, Page 1209-1229 |
op_rights |
CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.34657/1447 |
_version_ |
1772811343792963584 |