CAMS40 VRA regional air-quality maps — ensemble ENSa — 2019

Regional air-quality maps for the year 2019, produced in the CAMS40 exercise (VRA configuration) from the ensemble field ENSa — the median of 11 regional chemistry-transport models — and derived indicators.

Contents: 140 map files in four formats (eps, jpg, png, svg) covering 35 indicators; the 35 PNG maps are published individually for direct preview, the other formats are grouped in 2 archive(s). manifest.csv gives path, size and md5 for every map; indicateurs.csv is the dictionary of the indicators (definition and unit as printed on each map); a README.md documents the dataset.

Grid: MACC1e regular latitude/longitude grid, 0.1° × 0.1°, 700 × 420 cells, covering Europe, North Africa and the Middle East.

Processing: ensemble built with cdo -O ensmedian over the 11 member models; seasonal/annual aggregation and exceedance counts. Source files: /scratch/arxx/CAMS40/indicators/ENSa.2019.VRA/plotEPS_final on the ECMWF HPC (user arxx).

Boundary conditions: these regional analyses are driven by the CAMS global reanalysis of atmospheric composition (EAC4; Inness et al., 2019, https://doi.org/10.5194/acp-19-3515-2019), which provides their boundary conditions.

Data files: each PNG map is accompanied by the underlying NetCDF field (35 .nc files). The NetCDF files expose only two global attributes — Associated_Project = "CAMS2_40" and Conventions = "CF-1.6" — the processing history and internal filesystem paths were removed before publication; the variable attributes (units, long_name, standard_name) are preserved.

Context: the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis is the latest global reanalysis data set of atmospheric composition (Inness et al., 2019). The maps published here are regional fields from the CAMS40 exercise, not the global CAMS reanalysis product itself.

Licensed CC BY 4.0. Please cite this record by its DOI and credit INERIS (Unité MOCA), CAMS/ECMWF and NILU.