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Dropsonde observations during the Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment.
Vömel, Holger; Sorooshian, Armin; Robinson, Claire; Shingler, Taylor J; Thornhill, Kenneth Lee; Ziemba, Luke D.
Affiliation
  • Vömel H; National Center for Atmospheric Research, Boulder, CO, 30301, USA. voemel@ucar.edu.
  • Sorooshian A; Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, 85721, USA.
  • Robinson C; NASA Langley Research Center, Hampton, VA, 23681, USA.
  • Shingler TJ; NASA Langley Research Center, Hampton, VA, 23681, USA.
  • Thornhill KL; NASA Langley Research Center, Hampton, VA, 23681, USA.
  • Ziemba LD; NASA Langley Research Center, Hampton, VA, 23681, USA.
Sci Data ; 10(1): 753, 2023 11 01.
Article in En | MEDLINE | ID: mdl-37914778
ABSTRACT
The Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE) field campaign provides accurate data for aerosol characterization and trace gas profiles, and establishes knowledge of the relationships between aerosols and water. The dropsonde dataset provides an in situ characterization of the vertical thermodynamic structure of the atmosphere during 165 research flights by NASA Langley's King Air research aircraft between February 2020 and June 2022 and four test flights between December 2019 and November 2021. The research flights covered the western North Atlantic region, off the coast of the Eastern United States and around Bermuda and covered all seasons. The dropsonde profiles provide observations of temperature, pressure, relative humidity, and horizontal and vertical winds between the surface and about 9 km. 801 dropsondes were released, of which 796 were processed and 788 provide complete profiles of all parameters between the flight level and the surface with normal parachute performance. Here, we describe the dataset, the processing of the measurements, general statistics, and applications of this rich dataset.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Data Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Data Year: 2023 Document type: Article Affiliation country:
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