Airborne radar reflectivity and brightness temperature measurements with POLAR 5 during ACLOUD in May and June 2017

During the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign in summer 2017 conducted from Longyearbyen/Svalbard, a combination of active and passive microwave instruments MiRAC (Microwave Radar/radiometer for Arctic Clouds) has been operated on board of the Po...

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Bibliographic Details
Main Authors: Kliesch, Leif-Leonard, Mech, Mario
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
AC
AC3
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.899565
https://doi.org/10.1594/PANGAEA.899565
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.899565
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
Aircraft
Arctic
Arctic Amplification
Arctic Cloud Observations Using airborne measurements during polar Day
brightness temperature
clouds
Date/Time of event
Event label
File format
File name
File size
Flight 04
Flight 05
Flight 06
Flight 07
Flight 08
Flight 10
Flight 11
Flight 14
Flight 15
Flight 16
Flight 17
Flight 18
Flight 19
Flight 20
Flight 21
Flight 22
Flight 23
Flight 25
FMCW
microwave
MiRAC
P5_206_ACLOUD_2017
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_1706081401
P5_206_ACLOUD_2017_1706091501
P5_206_ACLOUD_2017_1706131601
P5_206_ACLOUD_2017_1706141701
P5_206_ACLOUD_2017_1706161801
P5_206_ACLOUD_2017_1706171901
spellingShingle AC
AC3
ACLOUD
airborne
Aircraft
Arctic
Arctic Amplification
Arctic Cloud Observations Using airborne measurements during polar Day
brightness temperature
clouds
Date/Time of event
Event label
File format
File name
File size
Flight 04
Flight 05
Flight 06
Flight 07
Flight 08
Flight 10
Flight 11
Flight 14
Flight 15
Flight 16
Flight 17
Flight 18
Flight 19
Flight 20
Flight 21
Flight 22
Flight 23
Flight 25
FMCW
microwave
MiRAC
P5_206_ACLOUD_2017
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_1706081401
P5_206_ACLOUD_2017_1706091501
P5_206_ACLOUD_2017_1706131601
P5_206_ACLOUD_2017_1706141701
P5_206_ACLOUD_2017_1706161801
P5_206_ACLOUD_2017_1706171901
Kliesch, Leif-Leonard
Mech, Mario
Airborne radar reflectivity and brightness temperature measurements with POLAR 5 during ACLOUD in May and June 2017
topic_facet AC
AC3
ACLOUD
airborne
Aircraft
Arctic
Arctic Amplification
Arctic Cloud Observations Using airborne measurements during polar Day
brightness temperature
clouds
Date/Time of event
Event label
File format
File name
File size
Flight 04
Flight 05
Flight 06
Flight 07
Flight 08
Flight 10
Flight 11
Flight 14
Flight 15
Flight 16
Flight 17
Flight 18
Flight 19
Flight 20
Flight 21
Flight 22
Flight 23
Flight 25
FMCW
microwave
MiRAC
P5_206_ACLOUD_2017
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_1706081401
P5_206_ACLOUD_2017_1706091501
P5_206_ACLOUD_2017_1706131601
P5_206_ACLOUD_2017_1706141701
P5_206_ACLOUD_2017_1706161801
P5_206_ACLOUD_2017_1706171901
description During the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign in summer 2017 conducted from Longyearbyen/Svalbard, a combination of active and passive microwave instruments MiRAC (Microwave Radar/radiometer for Arctic Clouds) has been operated on board of the Polar 5 research aircraft of the Alfred-Wegener Institute for polar and ocean research (AWI). MiRAC contains a Frequency Modulated Continuous Wave (FMCW) radar at 94 GHz mounted in a belly pod under 25deg backwards inclined with respect to nadir. Included is also the 89 GHz passive channel and a passive microwave instrument with six channels in the 183 GHz water vapor line and channels at 243 and 340 GHz installed nadir pointing in the cabin. The data set was collected during approximately 80 flight hours in May/June 2017 northwest of Svalbard over the Arctic ocean and sea ice. It contains the unfiltered reflectivity profiles as well as the filtered profiles. Both profiles are corrected for aircraft motion and instrument/aircraft orientation. The filters consider disturbances due to the signal processing, side lobe effects, and removal of speckles. Furthermore, quality flags for the radar reflectivity are included in the data set. For the passive component, the brightness temperatures at 89 GHz are included without considering the observation geometry. The data set is completed by information recorded by the aircraft system (latitude, longitude, flight height, pitch, roll, and flight speed). The data are stored as netCDF format and each file contains data for one research flight (except for the 17th and 23rd of June 2017). For the higher passive microwave channels a separate dataset will be provided. For detailed information on the instruments and the processing see Mech et al. 2019 (doi:10.5194/amt-2019-151). The campaign ACLOUD is described in Wendisch et al. 2018 (doi:10.1175/BAMS-D-18-0072.1).
format Dataset
author Kliesch, Leif-Leonard
Mech, Mario
author_facet Kliesch, Leif-Leonard
Mech, Mario
author_sort Kliesch, Leif-Leonard
title Airborne radar reflectivity and brightness temperature measurements with POLAR 5 during ACLOUD in May and June 2017
title_short Airborne radar reflectivity and brightness temperature measurements with POLAR 5 during ACLOUD in May and June 2017
title_full Airborne radar reflectivity and brightness temperature measurements with POLAR 5 during ACLOUD in May and June 2017
title_fullStr Airborne radar reflectivity and brightness temperature measurements with POLAR 5 during ACLOUD in May and June 2017
title_full_unstemmed Airborne radar reflectivity and brightness temperature measurements with POLAR 5 during ACLOUD in May and June 2017
title_sort airborne radar reflectivity and brightness temperature measurements with polar 5 during acloud in may and june 2017
publisher PANGAEA
publishDate 2019
url https://doi.pangaea.de/10.1594/PANGAEA.899565
https://doi.org/10.1594/PANGAEA.899565
op_coverage MEDIAN LATITUDE: 78.245798 * MEDIAN LONGITUDE: 15.503956 * SOUTH-BOUND LATITUDE: 78.245720 * WEST-BOUND LONGITUDE: 15.503630 * NORTH-BOUND LATITUDE: 78.245835 * EAST-BOUND LONGITUDE: 15.504170 * DATE/TIME START: 2017-05-23T08:51:07 * DATE/TIME END: 2017-06-26T15:24:02
long_lat ENVELOPE(15.503630,15.504170,78.245835,78.245720)
geographic Arctic
Arctic Ocean
Svalbard
Longyearbyen
geographic_facet Arctic
Arctic Ocean
Svalbard
Longyearbyen
genre Alfred Wegener Institute
Arctic
Arctic
Arctic Ocean
Longyearbyen
Sea ice
Svalbard
genre_facet Alfred Wegener Institute
Arctic
Arctic
Arctic Ocean
Longyearbyen
Sea ice
Svalbard
op_source Supplement to: Mech, Mario; Kliesch, Leif-Leonard; Anhäuser, Andreas; Rose, Thomas; Kollias, Pavlos; Crewell, Susanne (2019): Microwave Radar/radiometer for Arctic Clouds (MiRAC): first insights from the ACLOUD campaign. Atmospheric Measurement Techniques, 12(9), 5019-5037, https://doi.org/10.5194/amt-12-5019-2019
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. 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
https://doi.pangaea.de/10.1594/PANGAEA.899565
https://doi.org/10.1594/PANGAEA.899565
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.899565
https://doi.org/10.5194/amt-12-5019-2019
https://doi.org/10.1594/PANGAEA.902603
https://doi.org/10.1175/BAMS-D-18-0072.1
_version_ 1766271049708601344
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.899565 2023-05-15T13:15:47+02:00 Airborne radar reflectivity and brightness temperature measurements with POLAR 5 during ACLOUD in May and June 2017 Kliesch, Leif-Leonard Mech, Mario MEDIAN LATITUDE: 78.245798 * MEDIAN LONGITUDE: 15.503956 * SOUTH-BOUND LATITUDE: 78.245720 * WEST-BOUND LONGITUDE: 15.503630 * NORTH-BOUND LATITUDE: 78.245835 * EAST-BOUND LONGITUDE: 15.504170 * DATE/TIME START: 2017-05-23T08:51:07 * DATE/TIME END: 2017-06-26T15:24:02 2019-03-22 text/tab-separated-values, 88 data points https://doi.pangaea.de/10.1594/PANGAEA.899565 https://doi.org/10.1594/PANGAEA.899565 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. 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 https://doi.pangaea.de/10.1594/PANGAEA.899565 https://doi.org/10.1594/PANGAEA.899565 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Supplement to: Mech, Mario; Kliesch, Leif-Leonard; Anhäuser, Andreas; Rose, Thomas; Kollias, Pavlos; Crewell, Susanne (2019): Microwave Radar/radiometer for Arctic Clouds (MiRAC): first insights from the ACLOUD campaign. Atmospheric Measurement Techniques, 12(9), 5019-5037, https://doi.org/10.5194/amt-12-5019-2019 AC AC3 ACLOUD airborne Aircraft Arctic Arctic Amplification Arctic Cloud Observations Using airborne measurements during polar Day brightness temperature clouds Date/Time of event Event label File format File name File size Flight 04 Flight 05 Flight 06 Flight 07 Flight 08 Flight 10 Flight 11 Flight 14 Flight 15 Flight 16 Flight 17 Flight 18 Flight 19 Flight 20 Flight 21 Flight 22 Flight 23 Flight 25 FMCW microwave MiRAC P5_206_ACLOUD_2017 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_1706081401 P5_206_ACLOUD_2017_1706091501 P5_206_ACLOUD_2017_1706131601 P5_206_ACLOUD_2017_1706141701 P5_206_ACLOUD_2017_1706161801 P5_206_ACLOUD_2017_1706171901 Dataset 2019 ftpangaea https://doi.org/10.1594/PANGAEA.899565 https://doi.org/10.5194/amt-12-5019-2019 https://doi.org/10.1594/PANGAEA.902603 https://doi.org/10.1175/BAMS-D-18-0072.1 2023-01-20T09:12:11Z During the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign in summer 2017 conducted from Longyearbyen/Svalbard, a combination of active and passive microwave instruments MiRAC (Microwave Radar/radiometer for Arctic Clouds) has been operated on board of the Polar 5 research aircraft of the Alfred-Wegener Institute for polar and ocean research (AWI). MiRAC contains a Frequency Modulated Continuous Wave (FMCW) radar at 94 GHz mounted in a belly pod under 25deg backwards inclined with respect to nadir. Included is also the 89 GHz passive channel and a passive microwave instrument with six channels in the 183 GHz water vapor line and channels at 243 and 340 GHz installed nadir pointing in the cabin. The data set was collected during approximately 80 flight hours in May/June 2017 northwest of Svalbard over the Arctic ocean and sea ice. It contains the unfiltered reflectivity profiles as well as the filtered profiles. Both profiles are corrected for aircraft motion and instrument/aircraft orientation. The filters consider disturbances due to the signal processing, side lobe effects, and removal of speckles. Furthermore, quality flags for the radar reflectivity are included in the data set. For the passive component, the brightness temperatures at 89 GHz are included without considering the observation geometry. The data set is completed by information recorded by the aircraft system (latitude, longitude, flight height, pitch, roll, and flight speed). The data are stored as netCDF format and each file contains data for one research flight (except for the 17th and 23rd of June 2017). For the higher passive microwave channels a separate dataset will be provided. For detailed information on the instruments and the processing see Mech et al. 2019 (doi:10.5194/amt-2019-151). The campaign ACLOUD is described in Wendisch et al. 2018 (doi:10.1175/BAMS-D-18-0072.1). Dataset Alfred Wegener Institute Arctic Arctic Arctic Ocean Longyearbyen Sea ice Svalbard PANGAEA - Data Publisher for Earth & Environmental Science Arctic Arctic Ocean Svalbard Longyearbyen ENVELOPE(15.503630,15.504170,78.245835,78.245720)