EM-CAMS (Copernicus Emission Daily Dataset) is a high-resolution daily inventory of anthropogenic emissions over Italy, built using Copernicus Atmosphere Monitoring Service (CAMS) data.
🚨 Note: This README provides only a brief overview of the work performed. For a detailed methodology behind the 2000–2022 dataset, please refer to the IEDD repository. Detailed explanations for the CAMS-GLOB-ANT extension will be added soon. This README covers:
- Spatial and temporal coverage
- Data sources and structure of CAMS-REG-ANT and CAMS-GLOB-ANT inventories
- CAMS-REG-TEMPO temporal profiles (V3.1, simplified V4.1)
- Dataset construction methodology
- Mapping of global sectors to GNFR (table)
- Data processing workflow
- Recommendations for harmonizing the periods 2000–2022 vs. 2023–2025
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Geographic domain: Entire Italian territory (35°N–47°N, 6°E–19°E).
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Spatial resolution:
- 2000–2022: 0.05° × 0.1° grid (~5.5 km × 11 km).
- 2023–2025: 0.1° × 0.1° grid (~11 km × 11 km), resampled to 0.05° × 0.1° for consistency.
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Temporal coverage:
- 2000–2022: Daily emissions via CAMS-REG-ANT + CAMS-REG-TEMPO.
- 2023–2025: Monthly emissions from CAMS-GLOB-ANT disaggregated to daily using CAMS-REG-TEMPO v4.1 simplified.
- Regional anthropogenic emission inventory (TNO/CAMS) for Europe.
- Resolution: 0.05° × 0.1°.
- Temporal coverage: annual totals, 2000–2022 (versions v5.1, v6.1, v7.0).
- Pollutants: NOₓ, SO₂, NMVOC, NH₃, CO, PM₁₀, PM₂.₅, CO₂_ff, CO₂_bf, CH₄.
- Sectors: 16 GNFR categories (A–L, F1–F4).
- Units: areal fluxes (kg·m⁻²·s⁻¹).
- Global anthropogenic emission inventory (CAMS v5.3, EDGAR-derived).
- Resolution: 0.1° × 0.1°, resampled for EM-CAMS.
- Temporal coverage: monthly, 2000–2023 (extrapolated to 2025).
- Species: 36+ pollutants (air pollutants and greenhouse gases), units kg·m⁻²·s⁻¹.
- Sectors: 17 macro-categories aggregated from EDGAR/CEDS to align with GNFR.
- Temporal profiles for disaggregating annual emissions into daily.
- V3.1: detailed daily, weekly, and monthly profiles per grid cell and pollutant.
- V4.1 simplified: country-level monthly, weekly, and hourly profiles (CSV).
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Annual data from CAMS-REG-ANT:
$E_{i,s,j}$ (grid cell i, sector s, year j). -
Daily disaggregation:
$E_{i,s}(t) = E_{i,s,j} \times x_{s,m(t)} \times y_{s,d(t)},$ where$x_{s,m}$ = monthly profile,$y_{s,d}$ = weekly profile. - Output: daily emissions on a 0.05° × 0.1° grid for 12 GNFR sectors + sum of sectors.
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Monthly data from CAMS-GLOB-ANT (0.1° × 0.1°).
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Daily disaggregation:
- Use weekly profiles
$y_{s,d}$ to split each month into days.
- Use weekly profiles
CAMS-GLOB-ANT Category | GNFR in EM-CAMS | Notes |
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Energy | A (Public Power) | Power and heat generation |
Industry | B (Industry) | Manufacturing and industrial processes |
Residential/Commercial | C (Other Stationary) | Residential and commercial heating |
Fugitive Emissions | D (Fugitives) | Fuel extraction and distribution losses |
Solvent & Products | E (Solvents) | Solvent use and industrial chemicals |
Road Transport | F (Road Transport) | Aggregate of F1–F4 sub-sectors |
Shipping | G (Shipping) | Inland and maritime navigation |
Aviation | H (Aviation) | Landing/take-off and cruise emissions |
Off-Road Machinery | I (OffROAD) | Not available |
Waste Management | J (Waste) | Landfills, wastewater, incineration |
Agriculture - Livestock | K (Agriculture-Livestock) | Livestock farming emissions |
Agriculture - Other | L (Agriculture-Other) | Fertilizers and agricultural residue burning |
1. Download CAMS-REG-ANT annual data
2. Download CAMS-GLOB-ANT monthly data
3. Dowload CAMS-REG-TEMPO V3.1 & V4.1 simplified profiles (CSV)
4. Daily disaggregation using TEMPO profiles and TEMPO simplified profiles
5. Export daily maps in rds files
Although the CAMS inventories used in EM-CAMS cover a wide range of species—including NOₓ, SO₂, NMVOC, NH₃, CO, PM₁₀, PM₂.₅, EM-CAMS currently provides only NOₓ data for both CAMS-REG and CAMS-GLOB sources.
Contact & Collaboration: For questions or contributions, open an Issue or contact the maintainer.
License: MIT. Feel free to use and adapt, citing EM-CAMS and CAMS.