| GDAL_AREA_OR_POINT: | Area |
| Conventions: | CF-1.5 |
| GDAL: | GDAL 3.1.2, released 2020/07/07 |
| title: | Nitrogen Dioxide Surface-Level Annual Average Concentrations |
| NCO: | netCDF Operators version 4.9.3 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco) |
| institution: | George Washington University, Department of Environmental and Occupational Health |
| source: | A land-use regression model (based on 5220 NO2 monitors in 58 countries and land use variables) estimates nitrogen dioxide concentrations for 2010-12. NO2 column densities from the Ozone Monitoring Instrument and MERRA-2 scale the concentrations to other years between 1990 and 2020. |
| references: | Anenberg, S. C., Mohegh, A., Goldberg, D. L., Kerr, G. H., Brauer, M., Burkart, K., et al. (2022). Long-term trends in urban NO2 concentrations and associated paediatric asthma incidence: estimates from global datasets. Lancet Planetary Health. 6(1): e49-58. https://doi.org/10.1016/s2542-5196(21)00255-2 |
| ShortName: | SFC_NITROGEN_DIOXIDE_CONC |
| LongName: | Nitrogen Dioxide Surface-Level Annual Average Concentrations |
| Format: | netCDF |
| DataSetQuality: | The model captures 54% of global NO2 variation with a mean absolute error of 3.7 ppb. Model performance is higher in South America (R2=0.67) and North America, Europe, and Asia (R2=0.52) than in Africa (R2=0.42). Anenberg, Mohegh, et al. (2022 Lancet Planetary Health) compare the dataset in 2019 to observed concentrations from 4348 monitors in the United States, Canada, and Europe in both urban and rurals areas. |
| IdentifierProductDOI: | 10.5067/J99FI2U38YRN |
| ProcessingLevel: | 4 |
| RangeBeginningDate: | 2014-01-01 |
| RangeBeginningTime: | 00:00:00.000000Z |
| RangeEndingDate: | 2014-12-31 |
| RangeEndingTime: | 23:59:59.999999Z |
| SouthBoundingCoordinate: | -60.0000000 |
| NorthBoundingCoordinate: | 75.0000000 |
| WestBoundingCoordinate: | -180.000000 |
| EastBoundingCoordinate: | 180.000000 |
| history: | 2023-02-04 12:25:48 - original file generated using NCO version 4.8.1 |
| VersionID: | 1.0 |
| crs: | String grid_mapping_name: latitude_longitude long_name: CRS definition longitude_of_prime_meridian: 0.000000000000000 semi_major_axis: 6378137.000000000 inverse_flattening: 298.2572235630000 spatial_ref: GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]] GeoTransform: -179.5512493018 0.008333333300000001 0 74.9495832122 0 -0.008333333300000001 string_length: 1 |
||||||
| lat: | Array of 64 bit Reals [lat = 0..16199] standard_name: latitude long_name: latitude units: degrees_north |
||||||
| lon: | Array of 64 bit Reals [lon = 0..43079] standard_name: longitude long_name: longitude units: degrees_east |
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| SurfaceNO2: | Grid long_name: Annual average, surface-level nitrogen dioxide concentrations _FillValue: -999.000000 grid_mapping: crs units: ppbv
|