Mertes, Stephan; Kästner, Udo; Macke, Andreas (2019): 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 flight P6_206_ACLOUD_2017_1706262402 [dataset]. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.900507, In: Mertes, S et al. (2019): 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 [dataset publication series]. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.900403
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Related to:
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
Project(s):
Arctic Amplification (AC3)
Funding:
German Research Foundation (DFG), grant/award no. 268020496: TRR 172: ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms
Coverage:
Median Latitude: 79.518258 * Median Longitude: 15.364607 * South-bound Latitude: 78.223440 * West-bound Longitude: 14.272180 * North-bound Latitude: 80.840440 * East-bound Longitude: 16.041960
Date/Time Start: 2017-09-26T12:32:52 * Date/Time End: 2017-09-26T14:48:46
Minimum ALTITUDE: 29 m * Maximum ALTITUDE: 3002 m
Event(s):
P6_206_ACLOUD_2017_1706262402 (Flight 25) * Latitude Start: 78.245945 * Longitude Start: 15.502358 * Latitude End: 78.245963 * Longitude End: 15.502352 * Date/Time Start: 2017-06-26T12:10:09 * Date/Time End: 2017-06-26T14:56:07 * Location: Svalbard * Campaign: P6-206_ACLOUD_2017 (ACLOUD) * Basis: POLAR 6 * Method/Device: Aircraft (AC)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Mertes, Stephan | Geocode | ||
| 2 | ALTITUDE | Altitude | m | Mertes, Stephan | Geocode | |
| 3 | LONGITUDE | Longitude | Mertes, Stephan | Geocode | ||
| 4 | LATITUDE | Latitude | Mertes, Stephan | Geocode | ||
| 5 | Pressure, atmospheric | PPPP | hPa | Mertes, Stephan | CVI | |
| 6 | Temperature, air | TTT | °C | Mertes, Stephan | CVI, recalculated from K (-273.15) | |
| 7 | Flag | Flag | Mertes, Stephan | CVI | ||
| 8 | Enrichment factor | EF | Mertes, Stephan | CVI | ||
| 9 | Diameter | Ø | µm | Mertes, Stephan | CVI lower cut-off diameter | |
| 10 | Absorption coefficient | ac | 1/m | Mertes, Stephan | ||
| 11 | Particle number | CP_conc | #/cm3 | Mertes, Stephan |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
19033 data points
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