Gridded data for the AQ-Bench dataset

DOI

This is a gridded version of the AQ-Bench variables. The AQ-Bench dataset and its documentation is available via Betancourt et al. (2021): "AQ-Bench: a benchmark dataset for machine learning on global air quality metrics" https://doi.org/10.5194/essd-13-3013-2021.

This gridded data is used in the corresponding mapping study by 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.

Identifier
DOI https://doi.org/10.23728/b2share.10eff86a79e244f7ab6ee2c7f2bda6b0
Source https://b2share.eudat.eu/records/10eff86a79e244f7ab6ee2c7f2bda6b0
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/10eff86a79e244f7ab6ee2c7f2bda6b0
Provenance
Creator Betancourt, Clara and Edrich, Ann-Kathrin and Schultz, Martin G.
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 1.1 GB; 1 file
Discipline 3.2.4 → Chemistry → Atmospheric chemistry; 3.3.14 → Earth sciences → Meteorology; 4.1.17.1.2.1 → Machine learning → Artificial neural network; 3.3.2 → Earth sciences → Environmental science