id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.902849
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
Arctic Cloud Observations Using airborne measurements during polar Day
DATE/TIME
Event label
File content
File format
File name
File size
Flight 01
Flight 02
Flight 03
Flight 04
Flight 05
Flight 06
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
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
spellingShingle AC
AC3
ACLOUD
airborne measurements
Aircraft
Arctic Amplification
Arctic Cloud Observations Using airborne measurements during polar Day
DATE/TIME
Event label
File content
File format
File name
File size
Flight 01
Flight 02
Flight 03
Flight 04
Flight 05
Flight 06
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
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
Hartmann, Jörg
Lüpkes, Christof
Chechin, Dmitry
1Hz resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017
topic_facet AC
AC3
ACLOUD
airborne measurements
Aircraft
Arctic Amplification
Arctic Cloud Observations Using airborne measurements during polar Day
DATE/TIME
Event label
File content
File format
File name
File size
Flight 01
Flight 02
Flight 03
Flight 04
Flight 05
Flight 06
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
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
description During the ACLOUD (Arctic Cloud Observations Using airborne measurements during polar Day) campaign conducted in May/June 2017 meteorological data (temperature, horizontal wind components, air pressure) have been measured using instrumentation that was installed at the nosebooms of both aircraft Polar 5 and Polar 6. This dataset presents the 1Hz resolution data. The high temporal resolution data (at 100 Hz) with all wind components are available here: doi:10.1594/PANGAEA.900880). For each flight the data are given as functions of time and position (including height above ground) along the flight tracks. Listed in this repository are all flights beginning with the test flight in Bremen and the Ferryflights to Longyearbyen. All other measurement flights started and ended in Longyearbyen. 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. 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 1Hz in columns in this order and meaning: UTC - UTC-time in seconds (since midnight) h - height in metres based on WGS84 lon - longitude in degress based on WS84 lat - latitude in degress based on WS84 p - static pressure in hpa gs - ground speed in m/s pitch - pitch angle in degrees roll - roll angle in degrees rh - relative humidity from Vaisala at noseboom 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 ...
format Dataset
author Hartmann, Jörg
Lüpkes, Christof
Chechin, Dmitry
author_facet Hartmann, Jörg
Lüpkes, Christof
Chechin, Dmitry
author_sort Hartmann, Jörg
title 1Hz resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017
title_short 1Hz resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017
title_full 1Hz resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017
title_fullStr 1Hz resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017
title_full_unstemmed 1Hz resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017
title_sort 1hz 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.902849
https://doi.org/10.1594/PANGAEA.902849
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(161.417,161.417,-78.367,-78.367)
ENVELOPE(8.276627,18.915330,78.245985,53.038738)
geographic Arctic
Longyearbyen
Greenland
Norway
Landing The
geographic_facet Arctic
Longyearbyen
Greenland
Norway
Landing The
genre Arctic
Arctic
Greenland
Greenland Sea
Longyearbyen
genre_facet Arctic
Arctic
Greenland
Greenland Sea
Longyearbyen
op_source Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
op_relation 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): High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.900880
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.902849
https://doi.org/10.1594/PANGAEA.902849
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.1594/PANGAEA.902849
https://doi.org/10.1175/BAMS-D-18-0072.1
https://doi.org/10.1594/PANGAEA.900880
https://doi.org/10.5194/amt-11-4567-2018
_version_ 1766302282884841472
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.902849 2023-05-15T14:28:08+02:00 1Hz 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 2019-06-21 text/tab-separated-values, 235 data points https://doi.pangaea.de/10.1594/PANGAEA.902849 https://doi.org/10.1594/PANGAEA.902849 en eng PANGAEA 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): High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.900880 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.902849 https://doi.org/10.1594/PANGAEA.902849 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven AC AC3 ACLOUD airborne measurements Aircraft Arctic Amplification Arctic Cloud Observations Using airborne measurements during polar Day DATE/TIME Event label File content File format File name File size Flight 01 Flight 02 Flight 03 Flight 04 Flight 05 Flight 06 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 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 Dataset 2019 ftpangaea https://doi.org/10.1594/PANGAEA.902849 https://doi.org/10.1175/BAMS-D-18-0072.1 https://doi.org/10.1594/PANGAEA.900880 https://doi.org/10.5194/amt-11-4567-2018 2023-01-20T09:12:29Z During the ACLOUD (Arctic Cloud Observations Using airborne measurements during polar Day) campaign conducted in May/June 2017 meteorological data (temperature, horizontal wind components, air pressure) have been measured using instrumentation that was installed at the nosebooms of both aircraft Polar 5 and Polar 6. This dataset presents the 1Hz resolution data. The high temporal resolution data (at 100 Hz) with all wind components are available here: doi:10.1594/PANGAEA.900880). For each flight the data are given as functions of time and position (including height above ground) along the flight tracks. Listed in this repository are all flights beginning with the test flight in Bremen and the Ferryflights to Longyearbyen. All other measurement flights started and ended in Longyearbyen. 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. 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 1Hz in columns in this order and meaning: UTC - UTC-time in seconds (since midnight) h - height in metres based on WGS84 lon - longitude in degress based on WS84 lat - latitude in degress based on WS84 p - static pressure in hpa gs - ground speed in m/s pitch - pitch angle in degrees roll - roll angle in degrees rh - relative humidity from Vaisala at noseboom 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 ... Dataset Arctic Arctic Greenland Greenland Sea Longyearbyen PANGAEA - Data Publisher for Earth & Environmental Science Arctic Longyearbyen Greenland Norway Landing The ENVELOPE(161.417,161.417,-78.367,-78.367) ENVELOPE(8.276627,18.915330,78.245985,53.038738)