Quasi-Lagrangian air mass matches during HALO-(AC)3: Matches occuring on the same day
One of the main goals of the HALO-(AC)3 Arctic airborne campaign conducted in spring 2022 was a quasi-Lagrangian sampling of air masses. This means that the same air masses were to be sampled twice. Such a measurement strategy allows for concrete observations of air mass transformations, which can f...
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Format: | Dataset |
Language: | English |
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PANGAEA
2024
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Subjects: | |
Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.967143 https://doi.org/10.1594/PANGAEA.967143 |
id |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.967143 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
AC AC3 Aircraft Arctic Arctic Amplification Date/Time of event Event label HALO HALO_220312a HALO_220313a HALO_220314a HALO_220315a HALO_220316a HALO_220320a HALO_220321a HALO_220328a HALO_220329a HALO_220330a HALO_220401a HALO_220404a HALO_220407a HALO_220408a HALO_220410a HALO_220411a HALO_220412a HALO_AC3 HALO-(AC)³ Image Lagrangian data Optional event label RF02 RF03 RF04 RF05 RF06 RF07 RF08 RF09 RF10 RF11 RF12 RF13 RF14 RF15 RF16 RF17 RF18 Text file trajectories |
spellingShingle |
AC AC3 Aircraft Arctic Arctic Amplification Date/Time of event Event label HALO HALO_220312a HALO_220313a HALO_220314a HALO_220315a HALO_220316a HALO_220320a HALO_220321a HALO_220328a HALO_220329a HALO_220330a HALO_220401a HALO_220404a HALO_220407a HALO_220408a HALO_220410a HALO_220411a HALO_220412a HALO_AC3 HALO-(AC)³ Image Lagrangian data Optional event label RF02 RF03 RF04 RF05 RF06 RF07 RF08 RF09 RF10 RF11 RF12 RF13 RF14 RF15 RF16 RF17 RF18 Text file trajectories Kirbus, Benjamin Ehrlich, André Schäfer, Michael Wendisch, Manfred Quasi-Lagrangian air mass matches during HALO-(AC)3: Matches occuring on the same day |
topic_facet |
AC AC3 Aircraft Arctic Arctic Amplification Date/Time of event Event label HALO HALO_220312a HALO_220313a HALO_220314a HALO_220315a HALO_220316a HALO_220320a HALO_220321a HALO_220328a HALO_220329a HALO_220330a HALO_220401a HALO_220404a HALO_220407a HALO_220408a HALO_220410a HALO_220411a HALO_220412a HALO_AC3 HALO-(AC)³ Image Lagrangian data Optional event label RF02 RF03 RF04 RF05 RF06 RF07 RF08 RF09 RF10 RF11 RF12 RF13 RF14 RF15 RF16 RF17 RF18 Text file trajectories |
description |
One of the main goals of the HALO-(AC)3 Arctic airborne campaign conducted in spring 2022 was a quasi-Lagrangian sampling of air masses. This means that the same air masses were to be sampled twice. Such a measurement strategy allows for concrete observations of air mass transformations, which can for example be used to benchmark weather models. After finishing the campaign, trajectory calculations were conducted for all flights of the HALO aircraft to check whether the flight strategy was a success. For this, the trajectory calculation tool Lagranto was used in conjunction with wind fields from the ERA5 reanalysis. Latter has an output resolution of around 30 km and one hour. The hourly data was bi-linearly interpolated to one minute resolution. Air masses were initialized temporally every one minute along the flight track of HALO, and vertically every 5 hPa between 250 hPa and 10 hPa above the ground level. Horizontally, air masses were started within a 30 km radius circle centered around the location of HALO. In each circle, 30 air masses were initialized evenly spaced approximately every 10 km, allowing for a better statistical analysis. Trajectories were then calculated in one-minute steps up to 10 hours forward in time. At typical HALO flight times of up to 10 hours, around 2.7 million trajectories were calculated per research flight. A quasi-Lagrangian match is registered if the same air mass is seen again below HALO at a later time of the same day and within the same 30 km radius. In order to allow air masses to evolve, a minimum temporal threshold of one hour was applied between matches. |
format |
Dataset |
author |
Kirbus, Benjamin Ehrlich, André Schäfer, Michael Wendisch, Manfred |
author_facet |
Kirbus, Benjamin Ehrlich, André Schäfer, Michael Wendisch, Manfred |
author_sort |
Kirbus, Benjamin |
title |
Quasi-Lagrangian air mass matches during HALO-(AC)3: Matches occuring on the same day |
title_short |
Quasi-Lagrangian air mass matches during HALO-(AC)3: Matches occuring on the same day |
title_full |
Quasi-Lagrangian air mass matches during HALO-(AC)3: Matches occuring on the same day |
title_fullStr |
Quasi-Lagrangian air mass matches during HALO-(AC)3: Matches occuring on the same day |
title_full_unstemmed |
Quasi-Lagrangian air mass matches during HALO-(AC)3: Matches occuring on the same day |
title_sort |
quasi-lagrangian air mass matches during halo-(ac)3: matches occuring on the same day |
publisher |
PANGAEA |
publishDate |
2024 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.967143 https://doi.org/10.1594/PANGAEA.967143 |
op_coverage |
LATITUDE: 67.830280 * LONGITUDE: 20.338890 * DATE/TIME START: 2022-03-12T08:22:00 * DATE/TIME END: 2022-04-12T15:30:04 |
long_lat |
ENVELOPE(20.338890,20.338890,67.830280,67.830280) |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic |
genre_facet |
Arctic Arctic |
op_relation |
Ehrlich, André; Ament, Felix; Aubry, Clemantyne; Crewell, Susanne; Dorff, Henning; Ewald, Florian; George, Geet; Giez, Andreas; Groß, Silke; Hirsch, Lutz; Jansen, Friedhelm; Kirbus, Benjamin; Klingebiel, Marcus; Konow, Heike; Luebke, Anna E; Mallaun, Christian; Mayer, Bernhard; Mech, Mario; Nenakhov, Vladyslav; Ori, Davide; Pörtge, Veronika; Ringel, Maximilian; Rosenburg, Sophie; Röttenbacher, Johannes; Schäfer, Michael; Volkmer, Lea; Walbröl, Andreas; Weber, Anna; Wendisch, Manfred; Wirth, Martin; Zinner, Tobias; Zöger, Martin: Collection of data sources from the HALO research aircraft for the HALO-(AC)³ field campaign, March/April 2022. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968885 Wendisch, Manfred; Crewell, Susanne; Ehrlich, André; Herber, Andreas; Kirbus, Benjamin; Lüpkes, Christof; Mech, Mario; Abel, Steven J; Akansu, Elisa F; Ament, Felix; Aubry, Clémantyne; Becker, Sebastian; Borrmann, Stephan; Bozem, Heiko; Brückner, Marlen; Clemen, Hans-Christian; Dahlke, Sandro; Dekoutsidis, Georgios; Delanoë, Julien; De La Torre Castro, Elena; Dorff, Henning; Dupuy, Regis; Eppers, Oliver; Ewald, Florian; George, Geet; Gorodetskaya, Irina V; Grawe, Sarah; Groß, Silke; Hartmann, Jörg; Henning, Silvia; Hirsch, Lutz; Jäkel, Evelyn; Joppe, Philipp; Jourdan, Olivier; Jurányi, Zsófia; Karalis, Michail; Kellermann, Mona; Klingebiel, Marcus; Lonardi, Michael; Lucke, Johannes; Luebke, Anna E; Maahn, Maximilian; Maherndl, Nina; Maturilli, Marion; Mayer, Bernhard; Mayer, Johanna; Mertes, Stephan; Michaelis, Janosch; Michalkov, Michel; Mioche, Guillaume; Moser, Manuel; Müller, Hanno; Neggers, Roel; Ori, Davide; Paul, Daria; Paulus, Fiona; Pilz, Christian; Pithan, Felix; Pöhlker, Mira; Pörtge, Veronika; Ringel, Maximilian; Risse, Nils; Roberts, Gregory C; Rosenburg, Sophie; Röttenbacher, Johannes; Rückert, Janna Elisabeth; Schäfer, Michael; Schäfer, Jonas; Schemannn, Vera; Schirmacher, Imke; Schmidt, Jörg; Schmidt, Sebastian; Schneider, Johannes; Schnitt, Sabrina; Schwarz, Anja; Siebert, Holger; Sodemann, Harald; Sperzel, Tim R; Spreen, Gunnar; Stevens, Bjorn; Stratmann, Frank; Svensson, Gunilla; Tatzelt, Christian; Tuch, Thomas; Vihma, Timo; Voigt, Christiane; Volkmer, Lea; Walbröl, Andreas; Weber, Anna; Wehner, Birgit; Wetzel, Bruno; Wirth, Martin; Zinner, Tobias (in review): Overview: Quasi-Lagrangian observations of Arctic air mass transformations – Introduction and initial results of the HALO–(AC) 3 aircraft campaign. https://doi.org/10.5194/egusphere-2024-783 https://doi.pangaea.de/10.1594/PANGAEA.967143 https://doi.org/10.1594/PANGAEA.967143 |
op_rights |
CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.96714310.5194/egusphere-2024-783 |
_version_ |
1802639148016730112 |
spelling |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.967143 2024-06-23T07:48:48+00:00 Quasi-Lagrangian air mass matches during HALO-(AC)3: Matches occuring on the same day Kirbus, Benjamin Ehrlich, André Schäfer, Michael Wendisch, Manfred LATITUDE: 67.830280 * LONGITUDE: 20.338890 * DATE/TIME START: 2022-03-12T08:22:00 * DATE/TIME END: 2022-04-12T15:30:04 2024 text/tab-separated-values, 34 data points https://doi.pangaea.de/10.1594/PANGAEA.967143 https://doi.org/10.1594/PANGAEA.967143 en eng PANGAEA Ehrlich, André; Ament, Felix; Aubry, Clemantyne; Crewell, Susanne; Dorff, Henning; Ewald, Florian; George, Geet; Giez, Andreas; Groß, Silke; Hirsch, Lutz; Jansen, Friedhelm; Kirbus, Benjamin; Klingebiel, Marcus; Konow, Heike; Luebke, Anna E; Mallaun, Christian; Mayer, Bernhard; Mech, Mario; Nenakhov, Vladyslav; Ori, Davide; Pörtge, Veronika; Ringel, Maximilian; Rosenburg, Sophie; Röttenbacher, Johannes; Schäfer, Michael; Volkmer, Lea; Walbröl, Andreas; Weber, Anna; Wendisch, Manfred; Wirth, Martin; Zinner, Tobias; Zöger, Martin: Collection of data sources from the HALO research aircraft for the HALO-(AC)³ field campaign, March/April 2022. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968885 Wendisch, Manfred; Crewell, Susanne; Ehrlich, André; Herber, Andreas; Kirbus, Benjamin; Lüpkes, Christof; Mech, Mario; Abel, Steven J; Akansu, Elisa F; Ament, Felix; Aubry, Clémantyne; Becker, Sebastian; Borrmann, Stephan; Bozem, Heiko; Brückner, Marlen; Clemen, Hans-Christian; Dahlke, Sandro; Dekoutsidis, Georgios; Delanoë, Julien; De La Torre Castro, Elena; Dorff, Henning; Dupuy, Regis; Eppers, Oliver; Ewald, Florian; George, Geet; Gorodetskaya, Irina V; Grawe, Sarah; Groß, Silke; Hartmann, Jörg; Henning, Silvia; Hirsch, Lutz; Jäkel, Evelyn; Joppe, Philipp; Jourdan, Olivier; Jurányi, Zsófia; Karalis, Michail; Kellermann, Mona; Klingebiel, Marcus; Lonardi, Michael; Lucke, Johannes; Luebke, Anna E; Maahn, Maximilian; Maherndl, Nina; Maturilli, Marion; Mayer, Bernhard; Mayer, Johanna; Mertes, Stephan; Michaelis, Janosch; Michalkov, Michel; Mioche, Guillaume; Moser, Manuel; Müller, Hanno; Neggers, Roel; Ori, Davide; Paul, Daria; Paulus, Fiona; Pilz, Christian; Pithan, Felix; Pöhlker, Mira; Pörtge, Veronika; Ringel, Maximilian; Risse, Nils; Roberts, Gregory C; Rosenburg, Sophie; Röttenbacher, Johannes; Rückert, Janna Elisabeth; Schäfer, Michael; Schäfer, Jonas; Schemannn, Vera; Schirmacher, Imke; Schmidt, Jörg; Schmidt, Sebastian; Schneider, Johannes; Schnitt, Sabrina; Schwarz, Anja; Siebert, Holger; Sodemann, Harald; Sperzel, Tim R; Spreen, Gunnar; Stevens, Bjorn; Stratmann, Frank; Svensson, Gunilla; Tatzelt, Christian; Tuch, Thomas; Vihma, Timo; Voigt, Christiane; Volkmer, Lea; Walbröl, Andreas; Weber, Anna; Wehner, Birgit; Wetzel, Bruno; Wirth, Martin; Zinner, Tobias (in review): Overview: Quasi-Lagrangian observations of Arctic air mass transformations – Introduction and initial results of the HALO–(AC) 3 aircraft campaign. https://doi.org/10.5194/egusphere-2024-783 https://doi.pangaea.de/10.1594/PANGAEA.967143 https://doi.org/10.1594/PANGAEA.967143 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess AC AC3 Aircraft Arctic Arctic Amplification Date/Time of event Event label HALO HALO_220312a HALO_220313a HALO_220314a HALO_220315a HALO_220316a HALO_220320a HALO_220321a HALO_220328a HALO_220329a HALO_220330a HALO_220401a HALO_220404a HALO_220407a HALO_220408a HALO_220410a HALO_220411a HALO_220412a HALO_AC3 HALO-(AC)³ Image Lagrangian data Optional event label RF02 RF03 RF04 RF05 RF06 RF07 RF08 RF09 RF10 RF11 RF12 RF13 RF14 RF15 RF16 RF17 RF18 Text file trajectories Dataset 2024 ftpangaea https://doi.org/10.1594/PANGAEA.96714310.5194/egusphere-2024-783 2024-06-12T14:17:12Z One of the main goals of the HALO-(AC)3 Arctic airborne campaign conducted in spring 2022 was a quasi-Lagrangian sampling of air masses. This means that the same air masses were to be sampled twice. Such a measurement strategy allows for concrete observations of air mass transformations, which can for example be used to benchmark weather models. After finishing the campaign, trajectory calculations were conducted for all flights of the HALO aircraft to check whether the flight strategy was a success. For this, the trajectory calculation tool Lagranto was used in conjunction with wind fields from the ERA5 reanalysis. Latter has an output resolution of around 30 km and one hour. The hourly data was bi-linearly interpolated to one minute resolution. Air masses were initialized temporally every one minute along the flight track of HALO, and vertically every 5 hPa between 250 hPa and 10 hPa above the ground level. Horizontally, air masses were started within a 30 km radius circle centered around the location of HALO. In each circle, 30 air masses were initialized evenly spaced approximately every 10 km, allowing for a better statistical analysis. Trajectories were then calculated in one-minute steps up to 10 hours forward in time. At typical HALO flight times of up to 10 hours, around 2.7 million trajectories were calculated per research flight. A quasi-Lagrangian match is registered if the same air mass is seen again below HALO at a later time of the same day and within the same 30 km radius. In order to allow air masses to evolve, a minimum temporal threshold of one hour was applied between matches. Dataset Arctic Arctic PANGAEA - Data Publisher for Earth & Environmental Science Arctic ENVELOPE(20.338890,20.338890,67.830280,67.830280) |