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IAGOS-CARIBIC whole air sampler data (v2024.01.12)

Schuck, Tanja; Obersteiner, Florian ORCID iD icon 1; Koeppel, Claus; Schuck, Tanja; Umezawa, Taku; Karu, Einar; Sattler, Tobias; Siek Rhee, Tae; Obersteiner, Florian ORCID iD icon 1
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT)

Abstract:

IAGOS-CARIBIC WSM files collection (v2024.01.12)

Content
IAGOS-CARIBIC_WSM_files_collection_20240112.zip contains merged IAGOS-CARIBIC whole air sampler data (CARIBIC-1 and CARIBIC-2; <https://www.caribic-atmospheric.com/>). There is one netCDF file per IAGOS-CARIBIC flight. Files were generated from NASA Ames 1001. For detailed content information, see global and variable attributes. Global attribute `na_file_header_[x]` contains the original NASA Ames file header as an array of strings, with [x] being one of the source files.

Data Coverage
The data set covers 22 years of CARIBIC data from 1997 to 2020, flight numbers 8 to 591. There is no data available after 2020. Also, note that data isn't available for all flight numbers within the [1, 591] range.

Special note on CARIBIC-1 data
CARIBIC-1 data only contains a subset of the variables found in CARIBIC-2 data files. To distinguish those two campaigns, use the global attribute 'mission'.

File format
netCDF v4, created with xarray, <https://docs.xarray.dev/en/stable/>. Default variable encoding was used (no compression etc.).

Contact
Tanja Schuck, whole air sampling system PI, <schuck@iau.uni-frankfurt.de>
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Originalveröffentlichung
DOI: 10.5281/zenodo.10495039
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Forschungsdaten
Publikationsjahr 2024
Identifikator KITopen-ID: 1000167605
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Lizenz Creative Commons Namensnennung 4.0 International
Schlagwörter greenhouse gases, trace gases, aircraft observations, in-situ, monitoring, long-term, whole air sampling
Liesmich

see "_README.md"

Art der Forschungsdaten Dataset
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