TOAR timeseries of ground-level ozone at station Shangdianzi (SDZ54421), China

DOI

Timeseries of 1-hourly measurements of ground-level ozone at station Shangdianzi (SDZ54421), China. These data were provided by Prof.Dr. Xiaobin Xu of Key Laboratory for Atmospheric Chemistry (KLAC), Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration (CMA) in the context of the Tropospheric Ozone Assessment Report (TOAR). For further information about TOAR see http://www.igacproject.org/activities/TOAR. An uptodate record of this data can be found in the TOAR database at https://toar-data.fz-juelich.de/api/getCoverage/?id=SDZ54421&sampling_method=hourly (not yet implemented)

This timeseries belongs to the collection http://doi.org/10.34730/f4e3583024e84467aa7c2d24d5f4861d of TOAR datasets from station Shangdianzi (SDZ54421), China.

The data are formatted as a csv file with variable header information. Each header line begins with # and contains key: value metadata elements. The data file was generated by the TOAR database query https://toar-data.fz-juelich.de/api/getCoverage/?id=48233&sampling_method=hourly&version_tag=1.0 (not yet implemented). A detailed description of the file format and the metadata elements can be found at: https://toar-data-portal.fz-juelich.de/docs/surfacedata/TOAR_file_format_v2.pdf (not yet implemented). Software tools for working with these data are available at https://jugit.fz-juelich.de/m.schultz/toar-public-utilities.

Identifier
DOI https://doi.org/10.34730/d5ae0c08311e4b51965fcb7a7a922850
Source https://b2share.fz-juelich.de/records/d5ae0c08311e4b51965fcb7a7a922850
Metadata Access https://b2share.fz-juelich.de/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.fz-juelich.de:b2rec/d5ae0c08311e4b51965fcb7a7a922850
Provenance
Creator Xu Xiaobin; Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration (CMA)
Publisher EUDAT B2SHARE; FZ-Juelich B2SHARE
Contributor Xu Xiaobin; Schröder, Sabine; The Tropospheric Ozone Assessment Report (TOAR) Data Centre, Research Centre Jülich, Jülich, Germany
Publication Year 2020
Rights Creative Commons Attribution (CC-BY); info:eu-repo/semantics/openAccess
OpenAccess true
Contact s.schroeder(at)fz-juelich.de
Representation
Language English
Resource Type Dataset
Format csv
Size 2.8 MB; 1 file
Version v1.0
Discipline 3.2.4 → Chemistry → Atmospheric chemistry