Global average ozone map 2010-2014

DOI

Global average ozone map of the years 2010-2014, generated by TOAR data and machine learning. For a detailed description, see the corresponding paper (Betancourt et al. 2022: "Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties ", https://doi.org/10.5194/gmd-15-4331-2022).

Please note that the ozone map is only valid where the area of applicability applies. We have set ozone values outside the area of applicability to -999.

File Format is netcdf4.

Identifier
DOI https://doi.org/10.23728/b2share.a05f33b5527f408a99faeaeea033fcdc
Source https://b2share.eudat.eu/records/a05f33b5527f408a99faeaeea033fcdc
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/a05f33b5527f408a99faeaeea033fcdc
Provenance
Creator Betancourt, Clara; Stomberg, Timo T.; Edrich, Ann-Kathrin; Patnala, Ankit; Schultz, Martin G.; Roscher, Ribana; Kowalski, Julia; Stadtler, Scarlet
Publisher EUDAT B2SHARE
Publication Year 2021
Rights Creative Commons Attribution (CC-BY); info:eu-repo/semantics/openAccess
OpenAccess true
Contact m.schultz(at)fz-juelich.de
Representation
Format nc
Size 90.8 MB; 1 file
Discipline 3.2.4 → Chemistry → Atmospheric chemistry; 3.3.14 → Earth sciences → Meteorology; 4.1.17.1.2 → Cognitive science → Machine learning; 3.3.2 → Earth sciences → Environmental science