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  • 1
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    PANGAEA
    In:  Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung, Karlsruhe
    Publication Date: 2024-01-27
    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; 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; 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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  • 2
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    PANGAEA
    In:  Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung, Karlsruhe
    Publication Date: 2024-01-27
    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; 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; PHIPS; POLAR 6; Svalbard; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 3
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    PANGAEA
    In:  Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung, Karlsruhe
    Publication Date: 2024-01-27
    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; 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; 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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  • 4
    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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  • 5
    Publication Date: 2024-04-20
    Description: This data set contains particle size distributions of spherical and aspherical cloud particles between 5 and 45 microns with a 10-second time resolution calculated from the Small Ice Detector Mark 3 (SID-3). The SID-3 detects individual cloud particles passing a 532 nm laser beam using two nested trigger detectors. The trigger signal is recorded as a histogram with a maximum rate of 11 kHz that can be used to derive particle size distributions by using the procedure described in Vochezer et al. (2016), doi:10.5194/amt-9-159-2016. For a sub-set of triggered particles a two-dimensional (2-D) scattering pattern is recorded that can be analysed for particle sphericity by a specifically developed image analysis software. Occasionally, coincidence sampling in the camera field of view causes optical distortions of the 2-D scattering patterns of liquid droplets and, consequently, a misclassification of such scattering patterns to be aspherical by the classification software. For the subsequent identification and re-classification of coincidence scattering patterns a machine learning (ML) algorithm was developed. From the numbers of observed spherical and aspherical 2-D scattering patterns the fractions of spherical and aspherical particles are derived. Multiplication of those number-based fractions with the total particle size distribution yields phase-specific particle size distribution. The uncertainty due to the fact that the imaged particles are a subset of all sampled particles can be estimated from the Clopper–Pearson confidence limits. The data was collected during the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign, which was conducted northwest of Svalbard (Norway) between May 23 and June 6, 2017. The measurement area comprises an area north of Svalbard, approximately between 78 and 82°N. The SID-3 instrument was installed in the Polar-6 aircraft during the ACLOUD campaign. The data is in NetCDF format and contains the total number concentration, the total particle size distribution, the total number of aspherical particles, the aspherical particle size distribution, the total number of spherical particles, the spherical particle size distribution and the upper and lower limits for the total aspherical and spherical particles and aspherical and spherical particle size distributions calculated using Clopper–Pearson confidence limits.
    Keywords: AC; AC3; ACLOUD; Aircraft; Arctic Amplification; Arctic clouds; DATE/TIME; Event label; Flight 07; Flight 11; Flight 12; Flight 13; Flight 14; Flight 17; Flight 18; Flight 19; Flight 20; netCDF file; netCDF file (File Size); P6_206_ACLOUD_2017; P6_206_ACLOUD_2017_1705270601; P6_206_ACLOUD_2017_1706021001; P6_206_ACLOUD_2017_1706041101; P6_206_ACLOUD_2017_1706051201; P6_206_ACLOUD_2017_1706081301; P6_206_ACLOUD_2017_1706141601; P6_206_ACLOUD_2017_1706161701; P6_206_ACLOUD_2017_1706171801; P6_206_ACLOUD_2017_1706181901; Polar 6; POLAR 6; SID-3; size distribution; Small Ice Detector Mark 3 (SID-3); Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 6
    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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  • 7
    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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  • 8
    Publication Date: 2023-11-23
    Description: In this work, we introduce a method for constraining the optical scattering models of natural ice crystals based on in‐situ measurements. Specifically the measured angular scattering functions for ice crystals can be used to compute a set of the asymmetry parameter (g) and the corresponding complexity parameter (C〈sub〉p〈/sub〉). It is demonstrated that the g‐C〈sub〉p〈/sub〉 relation can give valuable information on the morphology of ice crystal. The validity of the methods is shown from theoretical perspectives and the geometric‐optics ray‐tracing simulations. As an application, we investigate rimed ice crystals from in‐situ measurements and found that (a) the C〈sub〉p〈/sub〉 parameter is very well correlated with the surface riming degree and (b) only those models with both roughness and internal scattering can explain the observed g‐C〈sub〉p〈/sub〉 relation for rimed particles.
    Description: Plain Language Summary: Light scattering models of ice crystals are important for remote sensing and climate studies. Yet, many physical parameters, such as shape, aspect ratio, and inhomogeneity of the ice crystal can impose significant uncertainty in the single‐scattering properties predicted by light scattering models. To reduce such uncertainty and constrain the physical parameters in modeling, we introduce a novel method by analyzing the in‐situ measurement of the phase functions of ice crystals. We demonstrate the validity and usefulness of the method using both geometric ray‐tracing simulations and a case study on rimed crystals from two campaigns.
    Description: Key Points: A method is developed for analyzing in‐situ polar nephelometer measurements, aiming for constraining the light scattering models for natural ice crystal. Validity of the method is demonstrated by geometric‐optics ray‐tracing simulations and in‐situ measurements. A case study of rimed crystals measured in‐situ during two aircraft field campaigns using the Particle Habit Imaging and Polar Scattering probe is presented.
    Description: Helmholtz Association's Initiative and Networking Fund
    Description: https://doi.org/10.1594/PANGAEA.902611
    Description: https://doi.org/10.5065/D6639NKQ
    Description: https://zenodo.org/badge/latestdoi/440147565
    Keywords: ddc:551.5 ; light scattering ; ice crystals
    Language: English
    Type: doc-type:article
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  • 9
    Publication Date: 2023-01-25
    Description: Maritime boundary‐layer clouds over the Southern Ocean (SO) have a large shortwave radiative effect. Yet, climate models have difficulties in representing these clouds and, especially, their phase in this observationally sparse region. This study aims to increase the knowledge of SO cloud phase by presenting in‐situ cloud microphysical observations from the Southern Ocean Clouds, Radiation, Aerosol, Transport Experimental Study (SOCRATES). We investigate the occurrence of ice in summertime marine stratocumulus and cumulus clouds in the temperature range between 6 and −25°C. Our observations show that in ice‐containing clouds, maximum ice number concentrations of up to several hundreds per liter were found. The observed ice crystal concentrations were on average one to two orders of magnitude higher than the simultaneously measured ice nucleating particle (INP) concentrations in the temperature range below −10°C and up to five orders of magnitude higher than estimated INP concentrations in the temperature range above −10°C. These results highlight the importance of secondary ice production (SIP) in SO summertime marine boundary‐layer clouds. Evidence for rime splintering was found in the Hallett‐Mossop (HM) temperature range but the exact SIP mechanism active at lower temperatures remains unclear. Finally, instrument simulators were used to assess simulated co‐located cloud ice concentrations and the role of modeled HM rime‐splintering. We found that CAM6 is deficient in simulating number concentrations across the HM temperature range with little sensitivity to the model HM process, which is inconsistent with the aforementioned observational evidence of highly active SIP processes in SO low‐level clouds.
    Description: Plain Language Summary: Clouds in the Southern Ocean are important for climate but not well represented in climate models. Observations in this remote region have been rare. This study presents results from a recent airborne campaign that took place in the Southern Ocean where low‐ and mid‐level clouds were investigated by detecting individual cloud particles within the clouds. Although large fraction of the observed clouds did not contain ice crystals, occasionally high amounts of ice crystals were observed that cannot be explained by ice formation on aerosol particles but were result of multiplication of existing ice crystals. We tested the capability of a commonly used climate model to represent the observed ice concentrations and their sensitivity to one ice multiplication process parameterized in the model. These investigations revealed that the in the model the ice multiplication process was not responsible for generation of ice, which is in contradiction with the observations.
    Description: Key Points: Ice concentrations several orders of magnitude higher than ice nucleating particle concentrations were observed. Secondary ice production was believed to be responsible for the observed high ice number concentrations. Comparison with climate model indicated that secondary ice processes are still inadequately represented in the model.
    Description: National Science Foundation http://dx.doi.org/10.13039/100000001
    Description: U.S. Department of Energy http://dx.doi.org/10.13039/100000015
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: NSF Polar Programs
    Keywords: ddc:551 ; southern ocean ; mixed‐phase clouds ; in‐situ observations ; ice crystals ; secondary ice ; ice nucleating particles
    Language: English
    Type: doc-type:article
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  • 10
    Publication Date: 2024-04-04
    Description: This book experimentally investigates the angular light scattering properties of three atmospherically relevant particles: ice crystals, dust particles and secondary organic aerosol particles. Key optical quantities under examination are the near-backscattering depolarisation properties and the angular light scattering function. The main question is how these parameters are related to the particle microphysical properties, such as particle size and complexity.
    Keywords: QC1-999 ; Irreguläre Partikeln ; Ice particles ; Eispartikeln ; Lichtstreuung ; Staubpartikeln ; irregular particles ; sekundäre organische PartikelnLight scattering ; dust particles ; secondary organic particles ; bic Book Industry Communication::P Mathematics & science::PH Physics ; thema EDItEUR::P Mathematics and Science::PH Physics
    Language: English
    Format: image/jpeg
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