edu.ucar.opensky::articles:23006 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:21:40.270992 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d76w9f7w https://doi.org/10.1594/PANGAEA.900403 https Related Dataset #1 Airborne in-situ measurements of the aerosol absorption coefficient, aerosol particle number concentration and size distribution of cloud particle residuals and ambient aerosol particles during the ACLOUD campaign in May and June 2017 https://doi.org/10.1594/PANGAEA.901209 https Related Dataset #2 Airborne in-situ measurement of carbon monoxide, carbon dioxide, water vapor and ozone during ACLOUD 2017 https://doi.org/10.1594/PANGAEA.899937 https Related Dataset #3 Aircraft measurements of refractory black carbon in the Arctic during the ACLOUD campaign 2017 https://doi.org/10.1594/PANGAEA.900880 https Related Dataset #4 High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 https://doi.org/10.1594/PANGAEA.901149 https Related Dataset #5 Airborne in-situ measurement of particle number concentration and size distribution using an optical particle counter during ACLOUD 2017 https://doi.org/10.1594/PANGAEA.899962 https Related Dataset #6 Cloud top altitudes observed with airborne lidar during the ACLOUD campaign https://doi.org/10.1594/PANGAEA.906658 https Related Dataset #7 Liquid water content measured by the Nevzorov probe during the aircraft ACLOUD campaign in the Arctic https://doi.org/10.1594/PANGAEA.900442 https Related Dataset #8 Aircraft measurements of broadband irradiance during the ACLOUD campaign in 2017 https://doi.org/10.1594/PANGAEA.902849 https Related Dataset #9 1Hz resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017 https://doi.org/10.1594/PANGAEA.899177 https Related Dataset #10 Aircraft measurements of spectral solar up- and downward irradiances in the Arctic during the ACLOUD campaign 2017 https://doi.org/10.1594/PANGAEA.902611 https Related Dataset #11 PHIPS particle-by-particle data for the ACLOUD campaign in 2017 https://doi.org/10.1594/PANGAEA.900341 https Related Dataset #12 Aircraft measurements of aerosol size distribution in the Arctic during the ACLOUD campaign 2017 https://doi.org/10.1594/PANGAEA.907097 https Related Dataset #13 Aircraft measurements of AOD in the Arctic during the ACLOUD campaign 2017 https://doi.org/10.1594/PANGAEA.902603 https Related Dataset #14 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 https://doi.org/10.1594/PANGAEA.899074 https Related Dataset #15 CDP, CIP and PIP In-situ arctic cloud microphysical properties observed during ACLOUD-AC3 campaign in June 2017 https://doi.org/10.1594/PANGAEA.900261 https Related Dataset #16 SID-3 1Hz size distribution of cloud particles during the ACLOUD campaign in 2017 https://doi.org/10.1594/PANGAEA.888365 https Related Dataset #17 Master tracks in different resolutions during POLAR 6 campaign ACLOUD_2017 https://doi.org/10.1594/PANGAEA.902150 https Related Dataset #18 Spectral solar cloud top radiance measured by airborne spectral imaging during the ACLOUD campaign in 2017 https://doi.org/10.1594/PANGAEA.900380 https Related Dataset #19 SID-3 analysis results for 2D scattering patterns during the ACLOUD campaign in 2017 https://doi.org/10.1594/PANGAEA.901047 https Related Dataset #20 Aircraft-based measurement of particle size and chemical composition for individual aerosol particles during the ACLOUD campaign 2017 https://doi.org/10.1594/PANGAEA.888173 https Related Dataset #21 Master tracks in different resolutions during POLAR 5 campaign ACLOUD_2017 https://doi.org/10.1594/PANGAEA.901024 https Related Dataset #22 Radiance fields of clouds and the Arctic surface measured by a digital camera during ACLOUD 2017 https://doi.org/10.1594/PANGAEA.900204 https Related Dataset #23 Meteorological measurements by dropsondes released from POLAR 5 during ACLOUD 2017 https://doi.org/10.1594/PANGAEA.879820 https Related Dataset #24 High resolution radiosonde measurements from station Ny-Ålesund (2017-05) https://doi.org/10.1594/PANGAEA.879822 https Related Dataset #25 High resolution radiosonde measurements from station Ny-Ålesund (2017-06) https://doi.org/10.1594/PANGAEA.899565 https Related Dataset #26 Airborne radar reflectivity and brightness temperature measurements with POLAR 5 during ACLOUD in May and June 2017, 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 A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign 2019-11-29T00:00:00Z publication https://n2t.org/ark:/85065/d76w9f7w https://doi.org/10.5194/essd-11-1853-2019 Ehrlich, A. author Wendisch, M. author Lüpkes, C. author Buschmann, M. author Bozem, H. author Chechin, D. author Clemen, H. author Dupuy, R. author Eppers, O. author Hartmann, J. author Herber, A. author Jäkel, E. author Järvinen, Emma author Jourdan, O. author Kästner, U. author Kliesch, L. author Köllner, F. author Mech, M. author Mertes, S. author Neuber, R. author Ruiz-Donoso, E. author Schnaiter, M. author Schneider, J. author Stapf, J. author Zanatta, M. author UCAR/NCAR - Library publisher 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). UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2019 Author(s). This work is licensed under a Creative Commons Attribution 4.0 International license. None eng geoscientificInformation