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  • 2015-2019  (9)
  • 2019  (9)
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  • 2015-2019  (9)
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  • 1
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    Unknown
    PANGAEA
    In:  Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung, Karlsruhe
    Publication Date: 2024-05-17
    Description: Analysis results of the SID-3 2D scattering patterns measured during ACLOUD. Results contain information on the particle shape, sphericity and mesoscopic complexity. Data is in NASA ames format.
    Keywords: AC; AC3; ACLOUD; Aircraft; Arctic; Arctic Amplification; Cloud Microphysics; Date/Time of event; Event label; File format; File name; File size; Flight 07; Flight 09; Flight 11; Flight 12; Flight 13; Flight 14; Flight 16; Flight 17; Flight 18; Flight 19; Flight 20; Flight 22; Flight 24; Flight 25; In-Situ Measurements; Mesoscopic complexity; P6_206_ACLOUD_2017_1705270601; P6_206_ACLOUD_2017_1705300801; P6_206_ACLOUD_2017_1706021001; P6_206_ACLOUD_2017_1706041101; P6_206_ACLOUD_2017_1706051201; P6_206_ACLOUD_2017_1706081301; P6_206_ACLOUD_2017_1706131501; P6_206_ACLOUD_2017_1706141601; P6_206_ACLOUD_2017_1706161701; P6_206_ACLOUD_2017_1706171801; P6_206_ACLOUD_2017_1706181901; P6_206_ACLOUD_2017_1706232101; P6_206_ACLOUD_2017_1706262301; P6_206_ACLOUD_2017_1706262402; P6-206_ACLOUD_2017; Phase; POLAR 6; Shape; SID-3; Svalbard; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 2
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    Unknown
    PANGAEA
    In:  Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung, Karlsruhe
    Publication Date: 2024-05-17
    Description: Size distributions of cloud particles between 5 and 45 microns with 1 Hz time resolution calculated from the Small Ice Detector Mark 3 (SID-3). A detailed description for the data processing can be found in Vochezer et al. (2016), doi:10.5194/amt-9-159-2016. The data is in text-format with variables explained in the file header.
    Keywords: AC; AC3; ACLOUD; Aircraft; Arctic; Arctic Amplification; Cloud Microphysics; Date/Time of event; Date/Time of event 2; Event label; File format; File name; File size; Flight 07; Flight 09; Flight 11; Flight 12; Flight 13; Flight 14; Flight 16; Flight 17; Flight 18; Flight 19; Flight 20; Flight 22; Flight 24; Flight 25; In-Situ Measurements; P6_206_ACLOUD_2017_1705270601; P6_206_ACLOUD_2017_1705300801; P6_206_ACLOUD_2017_1706021001; P6_206_ACLOUD_2017_1706041101; P6_206_ACLOUD_2017_1706051201; P6_206_ACLOUD_2017_1706081301; P6_206_ACLOUD_2017_1706131501; P6_206_ACLOUD_2017_1706141601; P6_206_ACLOUD_2017_1706161701; P6_206_ACLOUD_2017_1706171801; P6_206_ACLOUD_2017_1706181901; P6_206_ACLOUD_2017_1706232101; P6_206_ACLOUD_2017_1706262301; P6_206_ACLOUD_2017_1706262402; P6-206_ACLOUD_2017; POLAR 6; SID-3; size distribution; Small Ice Detector Mark 3 (SID-3); Svalbard; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 3
    Publication Date: 2024-04-20
    Description: This data set unites the individual data of the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign, which was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic meteorological parameters, as well as for turbulent and radiative energy fluxes. In addition, on Polar 5 active and passive remote sensing instruments were installed, while Polar 6 operated in situ instruments to characterize cloud and aerosol particles as well as trace gases.
    Keywords: AC3; ACLOUD; Arctic Amplification
    Type: Dataset
    Format: 26 datasets
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  • 4
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    Unknown
    PANGAEA
    In:  Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung, Karlsruhe
    Publication Date: 2024-05-17
    Description: This dataset contains single particle measurements performed by the PHIPS. It comprises of particle microphysical properties deduced from the stereo imaging as well as angular light scattering measurements. Please see PHIPS-HALO_Data_Readme for more details.
    Keywords: AC; AC3; ACLOUD; Aircraft; Arctic; Arctic Amplification; Cloud Microphysics; Event label; File format; File name; File size; Flight 07; Flight 09; Flight 11; Flight 12; Flight 13; Flight 14; Flight 16; Flight 17; Flight 18; Flight 19; Flight 20; Flight 21; Flight 22; Flight 24; Flight 25; Habit; Ice Particle; In-Situ Measurements; P6_206_ACLOUD_2017_1705270601; P6_206_ACLOUD_2017_1705300801; P6_206_ACLOUD_2017_1706021001; P6_206_ACLOUD_2017_1706041101; P6_206_ACLOUD_2017_1706051201; P6_206_ACLOUD_2017_1706081301; P6_206_ACLOUD_2017_1706131501; P6_206_ACLOUD_2017_1706141601; P6_206_ACLOUD_2017_1706161701; P6_206_ACLOUD_2017_1706171801; P6_206_ACLOUD_2017_1706181901; P6_206_ACLOUD_2017_1706202001; P6_206_ACLOUD_2017_1706232101; P6_206_ACLOUD_2017_1706262301; P6_206_ACLOUD_2017_1706262402; P6-206_ACLOUD_2017; PHIPS; POLAR 6; Svalbard; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 5
    Publication Date: 2019-06-17
    Description: Clouds play an important role in Arctic amplification. This term represents the recently observed enhanced warming of the Arctic relative to the global increase of near-surface air temperature. However, there are still important knowledge gaps regarding the interplay between Arctic clouds and aerosol particles, and surface properties, as well as turbulent and radiative fluxes that inhibit accurate model simulations of clouds in the Arctic climate system. In an attempt to resolve this so-called Arctic cloud puzzle, two comprehensive and closely coordinated field studies were conducted: the Arctic Cloud Observations Using Airborne Measurements during Polar Day (ACLOUD) aircraft campaign and the Physical Feedbacks of Arctic Boundary Layer, Sea Ice, Cloud and Aerosol (PASCAL) ice breaker expedition. Both observational studies were performed in the framework of the German Arctic Amplification: Climate Relevant Atmospheric and Surface Processes, and Feedback Mechanisms (AC)3 project. They took place in the vicinity of Svalbard, Norway, in May and June 2017. ACLOUD and PASCAL explored four pieces of the Arctic cloud puzzle: cloud properties, aerosol impact on clouds, atmospheric radiation, and turbulent dynamical processes. The two instrumented Polar 5 and Polar 6 aircraft; the icebreaker Research Vessel (R/V) Polarstern; an ice floe camp including an instrumented tethered balloon; and the permanent ground-based measurement station at Ny-Ålesund, Svalbard, were employed to observe Arctic low- and mid-level mixed-phase clouds and to investigate related atmospheric and surface processes. The Polar 5 aircraft served as a remote sensing observatory examining the clouds from above by downward-looking sensors; the Polar 6 aircraft operated as a flying in situ measurement laboratory sampling inside and below the clouds. Most of the collocated Polar 5/6 flights were conducted either above the R/V Polarstern or over the Ny-Ålesund station, both of which monitored the clouds from below using similar but upward-looking remote sensing techniques as the Polar 5 aircraft. Several of the flights were carried out underneath collocated satellite tracks. The paper motivates the scientific objectives of the ACLOUD/PASCAL observations and describes the measured quantities, retrieved parameters, and the applied complementary instrumentation. Furthermore, it discusses selected measurement results and poses critical research questions to be answered in future papers analyzing the data from the two field campaigns.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 6
    Publication Date: 2019-12-13
    Description: The Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) cam- paign was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic meteorological parameters, as well as for turbulent and radiative energy fluxes. In addition, on Polar 5 active and passive remote sensing instruments were installed, while Polar 6 operated in situ instruments to characterize cloud and aerosol particles as well as trace gases. A detailed overview of the specifications, data processing, and data quality is provided here. It is shown that the scientific analysis of the ACLOUD data benefits from the coordinated operation of both aircraft. By combining the cloud remote sensing techniques operated on Polar 5, the synergy of multi-instrument cloud retrieval is illustrated. The remote sensing methods were validated us- ing truly collocated in situ and remote sensing observations. The data of identical instruments operated on both aircraft were merged to extend the spatial coverage of mean atmospheric quantities and turbulent and radiative flux measurement. Therefore, the data set of the ACLOUD campaign provides comprehensive in situ and remote sensing observations characterizing the cloudy Arctic atmosphere. All processed, calibrated, and validated data are published in the World Data Center PANGAEA as instrument-separated data subsets (Ehrlich et al., 2019b, https://doi.org/10.1594/PANGAEA.902603).
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 7
    Publication Date: 2019-05-01
    Description: Clouds play an important role in Arctic amplification. This term represents the recently observed enhanced warming of the Arctic relative to the global increase of near-surface air temperature. However, there are still important knowledge gaps regarding the interplay between Arctic clouds and aerosol particles, and surface properties, as well as turbulent and radiative fluxes that inhibit accurate model simulations of clouds in the Arctic climate system. In an attempt to resolve this so-called Arctic cloud puzzle, two comprehensive and closely coordinated field studies were conducted: the Arctic Cloud Observations Using Airborne Measurements during Polar Day (ACLOUD) aircraft campaign and the Physical Feedbacks of Arctic Boundary Layer, Sea Ice, Cloud and Aerosol (PASCAL) ice breaker expedition. Both observational studies were performed in the framework of the German Arctic Amplification: Climate Relevant Atmospheric and Surface Processes, and Feedback Mechanisms (AC) project. They took place in the vicinity of Svalbard, Norway, in May and June 2017. ACLOUD and PASCAL explored four pieces of the Arctic cloud puzzle: cloud properties, aerosol impact on clouds, atmospheric radiation, and turbulent dynamical processes. The two instrumented Polar 5 and Polar 6 aircraft; the icebreaker Research Vessel (R/V) Polarstern; an ice floe camp including an instrumented tethered balloon; and the permanent ground-based measurement station at Ny-Ålesund, Svalbard, were employed to observe Arctic low- and mid-level mixed-phase clouds and to investigate related atmospheric and surface processes. The Polar 5 aircraft served as a remote sensing observatory examining the clouds from above by downward-looking sensors; the Polar 6 aircraft operated as a flying in situ measurement laboratory sampling inside and below the clouds. Most of the collocated Polar 5/6 flights were conducted either above the R/V Polarstern or over the Ny-Ålesund station, both of which monitored the clouds from below using similar but upward-looking remote sensing techniques as the Polar 5 aircraft. Several of the flights were carried out underneath collocated satellite tracks. The paper motivates the scientific objectives of the ACLOUD/PASCAL observations and describes the measured quantities, retrieved parameters, and the applied complementary instrumentation. Furthermore, it discusses selected measurement results and poses critical research questions to be answered in future papers analyzing the data from the two field campaigns.
    Print ISSN: 0003-0007
    Electronic ISSN: 1520-0477
    Topics: Geography , Physics
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  • 8
    Publication Date: 2019-11-29
    Description: The Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic meteorological parameters, as well as for turbulent and radiative energy fluxes. In addition, on Polar 5 active and passive remote sensing instruments were installed, while Polar 6 operated in situ instruments to characterize cloud and aerosol particles as well as trace gases. A detailed overview of the specifications, data processing, and data quality is provided here. It is shown that the scientific analysis of the ACLOUD data benefits from the coordinated operation of both aircraft. By combining the cloud remote sensing techniques operated on Polar 5, the synergy of multi-instrument cloud retrieval is illustrated. The remote sensing methods were validated using truly collocated in situ and remote sensing observations. The data of identical instruments operated on both aircraft were merged to extend the spatial coverage of mean atmospheric quantities and turbulent and radiative flux measurement. Therefore, the data set of the ACLOUD campaign provides comprehensive in situ and remote sensing observations characterizing the cloudy Arctic atmosphere. All processed, calibrated, and validated data are published in the World Data Center PANGAEA as instrument-separated data subsets (Ehrlich et al., 2019b, https://doi.org/10.1594/PANGAEA.902603).
    Print ISSN: 1866-3508
    Electronic ISSN: 1866-3516
    Topics: Geosciences
    Published by Copernicus
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  • 9
    Publication Date: 2019-06-14
    Description: The Arctic Cloud Observations Using Airborne Measurements during Polar Day (ACLOUD) campaign was carried out North-West of Svalbard (Norway) between 23 May–26 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic Amplification. Two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic meteorological parameters, as well as for turbulent and and radiative energy fluxes. In addition, on Polar 5 active and passive remote sensing instruments were installed, while Polar 6 operated in situ instruments to characterize cloud and aerosol particles as well as trace gases. A detailed overview of the specifications, data processing, and data quality is provided here. It is shown, that the scientific analysis of the ACLOUD data benefits from the coordinated operation of both aircraft. By combining the cloud remote sensing techniques operated on Polar 5, the synergy of multiinstrument cloud retrieval is illustrated. The remote sensing methods are validated using truly collocated in situ and remote sensing observations. The data of identical instruments operated on both aircraft are merged to extend the spatial coverage of mean atmospheric quantities and turbulent and radiative flux measurement. Therefore, the data set of the ACLOUD campaign provides comprehensive in situ and remote sensing observations characterizing the cloudy Arctic atmosphere. All processed, 1 calibrated, and validated data are published in the world data center PANGAEA as instrument-separated data subsets (Ehrlich et al., 2019b, https://doi.org/10.1594/PANGAEA.902603).
    Electronic ISSN: 1866-3591
    Topics: Geosciences
    Published by Copernicus
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