High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017
During the ACLOUD (Arctic Cloud Observations Using airborne measurements during polar Day) campaign conducted in May/June 2017 meteorological data (temperature, 3 wind components, air pressure) have been measured in high temporal resolution (100 Hz) using instrumentation that was installed at the no...
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Language: | English |
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PANGAEA
2019
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Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.900880 https://doi.org/10.1594/PANGAEA.900880 |
id |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.900880 |
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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 ACLOUD airborne measurements Aircraft Arctic Amplification DATE/TIME Event label File content File format File name File size Flight 07 Flight 08 Flight 09 Flight 10 Flight 11 Flight 12 Flight 13 Flight 14 Flight 15 Flight 16 Flight 17 Flight 18 Flight 19 Flight 20 Flight 21 Flight 22 Flight 23 Flight 24 Flight 25 Germany Greenland Sea Norway P5_206_ACLOUD_2017_1705100201 P5_206_ACLOUD_2017_1705190301 P5_206_ACLOUD_2017_1705190402 P5_206_ACLOUD_2017_1705200501 P5_206_ACLOUD_2017_1705230601 P5_206_ACLOUD_2017_1705250701 P5_206_ACLOUD_2017_1705270801 P5_206_ACLOUD_2017_1705270902 P5_206_ACLOUD_2017_1705291001 P5_206_ACLOUD_2017_1705311101 P5_206_ACLOUD_2017_1706021201 P5_206_ACLOUD_2017_1706051301 P5_206_ACLOUD_2017_1706081401 P5_206_ACLOUD_2017_1706091501 P5_206_ACLOUD_2017_1706131601 P5_206_ACLOUD_2017_1706141701 |
spellingShingle |
AC AC3 ACLOUD airborne measurements Aircraft Arctic Amplification DATE/TIME Event label File content File format File name File size Flight 07 Flight 08 Flight 09 Flight 10 Flight 11 Flight 12 Flight 13 Flight 14 Flight 15 Flight 16 Flight 17 Flight 18 Flight 19 Flight 20 Flight 21 Flight 22 Flight 23 Flight 24 Flight 25 Germany Greenland Sea Norway P5_206_ACLOUD_2017_1705100201 P5_206_ACLOUD_2017_1705190301 P5_206_ACLOUD_2017_1705190402 P5_206_ACLOUD_2017_1705200501 P5_206_ACLOUD_2017_1705230601 P5_206_ACLOUD_2017_1705250701 P5_206_ACLOUD_2017_1705270801 P5_206_ACLOUD_2017_1705270902 P5_206_ACLOUD_2017_1705291001 P5_206_ACLOUD_2017_1705311101 P5_206_ACLOUD_2017_1706021201 P5_206_ACLOUD_2017_1706051301 P5_206_ACLOUD_2017_1706081401 P5_206_ACLOUD_2017_1706091501 P5_206_ACLOUD_2017_1706131601 P5_206_ACLOUD_2017_1706141701 Hartmann, Jörg Lüpkes, Christof Chechin, Dmitry High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 |
topic_facet |
AC AC3 ACLOUD airborne measurements Aircraft Arctic Amplification DATE/TIME Event label File content File format File name File size Flight 07 Flight 08 Flight 09 Flight 10 Flight 11 Flight 12 Flight 13 Flight 14 Flight 15 Flight 16 Flight 17 Flight 18 Flight 19 Flight 20 Flight 21 Flight 22 Flight 23 Flight 24 Flight 25 Germany Greenland Sea Norway P5_206_ACLOUD_2017_1705100201 P5_206_ACLOUD_2017_1705190301 P5_206_ACLOUD_2017_1705190402 P5_206_ACLOUD_2017_1705200501 P5_206_ACLOUD_2017_1705230601 P5_206_ACLOUD_2017_1705250701 P5_206_ACLOUD_2017_1705270801 P5_206_ACLOUD_2017_1705270902 P5_206_ACLOUD_2017_1705291001 P5_206_ACLOUD_2017_1705311101 P5_206_ACLOUD_2017_1706021201 P5_206_ACLOUD_2017_1706051301 P5_206_ACLOUD_2017_1706081401 P5_206_ACLOUD_2017_1706091501 P5_206_ACLOUD_2017_1706131601 P5_206_ACLOUD_2017_1706141701 |
description |
During the ACLOUD (Arctic Cloud Observations Using airborne measurements during polar Day) campaign conducted in May/June 2017 meteorological data (temperature, 3 wind components, air pressure) have been measured in high temporal resolution (100 Hz) using instrumentation that was installed at the nosebooms of both aircraft Polar 5 and Polar 6. For each flight the data are given as functions of time and position (including height above ground) along the flight tracks. All flights started and ended in Longyearbyen, Svalbard. Each file represents an entire flight starting well before the first movement of the plane and ending after the final parking position has been reached after landing. The wind measurement is only valid during flight and the full accuracy is only achieved during straight level flight sections. The absolute accuracy of the wind components is 0.2m/s for straight and level flights sections and the relative accuracy of the vertical wind speed is about 0.05m/s for straight and level flight sections. For these sections, which can be obtained on the basis of the given roll and pitch angles of the aircraft, the 100 Hz data can be used to derive turbulent fluxes of momentum and sensible heat. For further informations on the data processing and accuracy of the turbulence measurement refer to Hartmann et al. (2018, doi:10.5194/amt-11-4567-2018). For further information on the ACLOUD campaign we refer to Wendisch et al. (2018, doi:10.1175/BAMS-D-18-0072.1). -- All data are given as decimal values at 100Hz in columns in this order and meaning: t - UTC-time in seconds (since midnight) lon - longitude in degress based on WGS84 lat - latitude in degress based on WGS84 h - height in metres based on WGS84 p - static pressure in hpa, corrected for the influence of the aircraft T - temperature from PT100, corrected for adiabatic heating u - west-east component of wind speed in m/s, positive towards east v - south-north component of wind speed in m/s, positive towards north w - vertical wind speed in m/s pitch - ... |
format |
Dataset |
author |
Hartmann, Jörg Lüpkes, Christof Chechin, Dmitry |
author_facet |
Hartmann, Jörg Lüpkes, Christof Chechin, Dmitry |
author_sort |
Hartmann, Jörg |
title |
High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 |
title_short |
High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 |
title_full |
High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 |
title_fullStr |
High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 |
title_full_unstemmed |
High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 |
title_sort |
high resolution aircraft measurements of wind and temperature during the acloud campaign in 2017 |
publisher |
PANGAEA |
publishDate |
2019 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.900880 https://doi.org/10.1594/PANGAEA.900880 |
op_coverage |
MEDIAN LATITUDE: 75.107941 * MEDIAN LONGITUDE: 14.876082 * SOUTH-BOUND LATITUDE: 53.038738 * WEST-BOUND LONGITUDE: 8.276627 * NORTH-BOUND LATITUDE: 78.245985 * EAST-BOUND LONGITUDE: 18.915330 * DATE/TIME START: 2017-05-10T00:00:00 * DATE/TIME END: 2017-06-26T00:00:00 |
long_lat |
ENVELOPE(8.276627,18.915330,78.245985,53.038738) |
genre |
Arctic Greenland Greenland Sea Longyearbyen Svalbard |
genre_facet |
Arctic Greenland Greenland Sea Longyearbyen Svalbard |
op_source |
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven |
op_relation |
Ehrlich, André; Wendisch, Manfred; Lüpkes, Christof; Buschmann, Matthias; Bozem, Heiko; Chechin, Dmitry; Clemen, Hans-Christian; Dupuy, Regis; Eppers, Oliver; Hartmann, Jörg; Herber, Andreas; Jäkel, Evelyn; Järvinen, Emma; Jourdan, Olivier; Kästner, Udo; Kliesch, Leif-Leonard; Köllner, Franziska; Mech, Mario; Mertes, Stephan; Neuber, Roland; Ruiz-Donoso, Elena; Schnaiter, Martin; Schneider, Johannes; Stapf, Johannes; Zanatta, Marco (2019): Collection of data sources for the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign, North-West of Svalbard between 23 May - 26 June 2017 [dataset bibliography]. PANGAEA, https://doi.org/10.1594/PANGAEA.902603 Wendisch, Manfred; Macke, Andreas; Ehrlich, André; Lüpkes, Christof; Mech, Mario; Chechin, Dmitry; Dethloff, Klaus; Barientos, Carola; Bozem, Heiko; Brückner, Marlen; Clemen, Hans-Christian; Crewell, Susanne; Donth, Tobias; Dupuy, Regis; Ebell, Kerstin; Egerer, Ulrike; Engelmann, Ronny; Engler, Christa; Eppers, Oliver; Gehrmann, Martin; Gong, Xianda; Gottschalk, Matthias; Gourbeyre, Christophe; Griesche, Hannes; Hartmann, Jörg; Hartmann, Markus; Heinold, Bernd; Herber, Andreas; Herrmann, Hartmut; Heygster, Georg; Hoor, Peter; Jafariserajehlou, Soheila; Jäkel, Evelyn; Järvinen, Emma; Jourdan, Olivier; Kästner, Udo; Kecorius, Simonas; Knudsen, Erlend M; Köllner, Franziska; Kretzschmar, Jan; Lelli, Luca; Leroy, Delphine; Maturilli, Marion; Mei, Linlu; Mertes, Stephan; Mioche, Guillaume; Neuber, Roland; Nicolaus, Marcel; Nomokonova, Tatiana; Notholt, Justus; Palm, Mathias; van Pinxteren, Manuela; Quaas, Johannes; Richter, Philipp; Ruiz-Donoso, Elena; Schäfer, Michael; Schmieder, Katja; Schnaiter, Martin; Schneider, Johannes; Schwarzenböck, Alfons; Seifert, Patric; Shupe, Matthew D; Siebert, Holger; Spreen, Gunnar; Stapf, Johannes; Stratmann, Frank; Vogl, Teresa; Welti, André; Wex, Heike; Wiedensohler, Alfred; Zanatta, Marco; Zeppenfeld, Sebastian (2019): The Arctic Cloud Puzzle: Using ACLOUD/PASCAL Multiplatform Observations to Unravel the Role of Clouds and Aerosol Particles in Arctic Amplification. Bulletin of the American Meteorological Society, 100(5), 841–871, https://doi.org/10.1175/BAMS-D-18-0072.1 Hartmann, Jörg; Lüpkes, Christof; Chechin, Dmitry (2019): 1Hz resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.902849 Hartmann, Jörg; Gehrmann, Martin; Kohnert, Katrin; Metzger, Stefan; Sachs, Torsten (2018): New calibration procedures for airborne turbulence measurements and accuracy of the methane fluxes during the AirMeth campaigns. Atmospheric Measurement Techniques, 11(7), 4567-4581, https://doi.org/10.5194/amt-11-4567-2018 https://doi.pangaea.de/10.1594/PANGAEA.900880 https://doi.org/10.1594/PANGAEA.900880 |
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.90088010.1594/PANGAEA.90260310.1175/BAMS-D-18-0072.110.1594/PANGAEA.90284910.5194/amt-11-4567-2018 |
_version_ |
1810293829244289024 |
spelling |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.900880 2024-09-15T17:51:49+00:00 High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 Hartmann, Jörg Lüpkes, Christof Chechin, Dmitry MEDIAN LATITUDE: 75.107941 * MEDIAN LONGITUDE: 14.876082 * SOUTH-BOUND LATITUDE: 53.038738 * WEST-BOUND LONGITUDE: 8.276627 * NORTH-BOUND LATITUDE: 78.245985 * EAST-BOUND LONGITUDE: 18.915330 * DATE/TIME START: 2017-05-10T00:00:00 * DATE/TIME END: 2017-06-26T00:00:00 2019 text/tab-separated-values, 235 data points https://doi.pangaea.de/10.1594/PANGAEA.900880 https://doi.org/10.1594/PANGAEA.900880 en eng PANGAEA Ehrlich, André; Wendisch, Manfred; Lüpkes, Christof; Buschmann, Matthias; Bozem, Heiko; Chechin, Dmitry; Clemen, Hans-Christian; Dupuy, Regis; Eppers, Oliver; Hartmann, Jörg; Herber, Andreas; Jäkel, Evelyn; Järvinen, Emma; Jourdan, Olivier; Kästner, Udo; Kliesch, Leif-Leonard; Köllner, Franziska; Mech, Mario; Mertes, Stephan; Neuber, Roland; Ruiz-Donoso, Elena; Schnaiter, Martin; Schneider, Johannes; Stapf, Johannes; Zanatta, Marco (2019): Collection of data sources for the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign, North-West of Svalbard between 23 May - 26 June 2017 [dataset bibliography]. PANGAEA, https://doi.org/10.1594/PANGAEA.902603 Wendisch, Manfred; Macke, Andreas; Ehrlich, André; Lüpkes, Christof; Mech, Mario; Chechin, Dmitry; Dethloff, Klaus; Barientos, Carola; Bozem, Heiko; Brückner, Marlen; Clemen, Hans-Christian; Crewell, Susanne; Donth, Tobias; Dupuy, Regis; Ebell, Kerstin; Egerer, Ulrike; Engelmann, Ronny; Engler, Christa; Eppers, Oliver; Gehrmann, Martin; Gong, Xianda; Gottschalk, Matthias; Gourbeyre, Christophe; Griesche, Hannes; Hartmann, Jörg; Hartmann, Markus; Heinold, Bernd; Herber, Andreas; Herrmann, Hartmut; Heygster, Georg; Hoor, Peter; Jafariserajehlou, Soheila; Jäkel, Evelyn; Järvinen, Emma; Jourdan, Olivier; Kästner, Udo; Kecorius, Simonas; Knudsen, Erlend M; Köllner, Franziska; Kretzschmar, Jan; Lelli, Luca; Leroy, Delphine; Maturilli, Marion; Mei, Linlu; Mertes, Stephan; Mioche, Guillaume; Neuber, Roland; Nicolaus, Marcel; Nomokonova, Tatiana; Notholt, Justus; Palm, Mathias; van Pinxteren, Manuela; Quaas, Johannes; Richter, Philipp; Ruiz-Donoso, Elena; Schäfer, Michael; Schmieder, Katja; Schnaiter, Martin; Schneider, Johannes; Schwarzenböck, Alfons; Seifert, Patric; Shupe, Matthew D; Siebert, Holger; Spreen, Gunnar; Stapf, Johannes; Stratmann, Frank; Vogl, Teresa; Welti, André; Wex, Heike; Wiedensohler, Alfred; Zanatta, Marco; Zeppenfeld, Sebastian (2019): The Arctic Cloud Puzzle: Using ACLOUD/PASCAL Multiplatform Observations to Unravel the Role of Clouds and Aerosol Particles in Arctic Amplification. Bulletin of the American Meteorological Society, 100(5), 841–871, https://doi.org/10.1175/BAMS-D-18-0072.1 Hartmann, Jörg; Lüpkes, Christof; Chechin, Dmitry (2019): 1Hz resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.902849 Hartmann, Jörg; Gehrmann, Martin; Kohnert, Katrin; Metzger, Stefan; Sachs, Torsten (2018): New calibration procedures for airborne turbulence measurements and accuracy of the methane fluxes during the AirMeth campaigns. Atmospheric Measurement Techniques, 11(7), 4567-4581, https://doi.org/10.5194/amt-11-4567-2018 https://doi.pangaea.de/10.1594/PANGAEA.900880 https://doi.org/10.1594/PANGAEA.900880 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven AC AC3 ACLOUD airborne measurements Aircraft Arctic Amplification DATE/TIME Event label File content File format File name File size Flight 07 Flight 08 Flight 09 Flight 10 Flight 11 Flight 12 Flight 13 Flight 14 Flight 15 Flight 16 Flight 17 Flight 18 Flight 19 Flight 20 Flight 21 Flight 22 Flight 23 Flight 24 Flight 25 Germany Greenland Sea Norway P5_206_ACLOUD_2017_1705100201 P5_206_ACLOUD_2017_1705190301 P5_206_ACLOUD_2017_1705190402 P5_206_ACLOUD_2017_1705200501 P5_206_ACLOUD_2017_1705230601 P5_206_ACLOUD_2017_1705250701 P5_206_ACLOUD_2017_1705270801 P5_206_ACLOUD_2017_1705270902 P5_206_ACLOUD_2017_1705291001 P5_206_ACLOUD_2017_1705311101 P5_206_ACLOUD_2017_1706021201 P5_206_ACLOUD_2017_1706051301 P5_206_ACLOUD_2017_1706081401 P5_206_ACLOUD_2017_1706091501 P5_206_ACLOUD_2017_1706131601 P5_206_ACLOUD_2017_1706141701 dataset 2019 ftpangaea https://doi.org/10.1594/PANGAEA.90088010.1594/PANGAEA.90260310.1175/BAMS-D-18-0072.110.1594/PANGAEA.90284910.5194/amt-11-4567-2018 2024-07-24T02:31:34Z During the ACLOUD (Arctic Cloud Observations Using airborne measurements during polar Day) campaign conducted in May/June 2017 meteorological data (temperature, 3 wind components, air pressure) have been measured in high temporal resolution (100 Hz) using instrumentation that was installed at the nosebooms of both aircraft Polar 5 and Polar 6. For each flight the data are given as functions of time and position (including height above ground) along the flight tracks. All flights started and ended in Longyearbyen, Svalbard. Each file represents an entire flight starting well before the first movement of the plane and ending after the final parking position has been reached after landing. The wind measurement is only valid during flight and the full accuracy is only achieved during straight level flight sections. The absolute accuracy of the wind components is 0.2m/s for straight and level flights sections and the relative accuracy of the vertical wind speed is about 0.05m/s for straight and level flight sections. For these sections, which can be obtained on the basis of the given roll and pitch angles of the aircraft, the 100 Hz data can be used to derive turbulent fluxes of momentum and sensible heat. For further informations on the data processing and accuracy of the turbulence measurement refer to Hartmann et al. (2018, doi:10.5194/amt-11-4567-2018). For further information on the ACLOUD campaign we refer to Wendisch et al. (2018, doi:10.1175/BAMS-D-18-0072.1). -- All data are given as decimal values at 100Hz in columns in this order and meaning: t - UTC-time in seconds (since midnight) lon - longitude in degress based on WGS84 lat - latitude in degress based on WGS84 h - height in metres based on WGS84 p - static pressure in hpa, corrected for the influence of the aircraft T - temperature from PT100, corrected for adiabatic heating u - west-east component of wind speed in m/s, positive towards east v - south-north component of wind speed in m/s, positive towards north w - vertical wind speed in m/s pitch - ... Dataset Arctic Greenland Greenland Sea Longyearbyen Svalbard PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(8.276627,18.915330,78.245985,53.038738) |