The Emissions Database for Global AtmosphericResearch (EDGAR)
Joint 1st and 2nd IPCC Expert Meeting on Short-Lived Climate Forcers
11 – 22 October 2021, Virtual Meeting
Methodologies for Energy, Industrial Processes and Product Use (IPPU), Agriculture, Forestry andOther Land Use (AFOLU) and Waste Sectors.

Monica Crippa, Efisio Solazzo, Diego Guizzardi, Manjola Banja, Marilena
Muntean, Edwin Schaaf, Fabio Monforti-Ferrario, Jos Olivier

Global view: main sources of SLCF(Mt/yr) 101.6

124.7

608.2

153.7

54.4

4.9

11.3

Major emitting sources of Short Lived Climate Forcers (SLCF) in 2018
(EDGAR v6.0)

Uncertainty levels of SLCFs

kton substance

95% CI of a lognormal distribution
uncert_min uncert_max
SO2
8.35%
42.20%
NOx
12.30%
73.50%
CO
10.80%
65.60%
NMVOC
7.55%
45.80%
NH3
8.82%
58.40%
BC
10.60%
66.80%
OC
12.50%
82.30%
Methodology from
Solazzo et al., 2021:
https://doi.org/10.5194/a
cp-21-5655-2021

EDGAR Methodology
EDGAR overview

Activity data

Power generation (1.A.1.a)

IEA energy balances

Manufacturing combustion (1.A.2) IEA energy balances
Transport (1.A.3)

IEA energy balances

Residential (1.A.4)
Fuel production, refineries andtransformation(1B+1.A.1.b+1.A.1.c+7)

IEA energy balances

IPPU (2)Agriculture (3)Waste (4)IEA energy balances
USGS,WSA,Comtrade,
FAOSTATFAOSTATUN statistics, World Bank,
FAO

Emission factors
Methodology
EMEP/EEA guidebook
2019, AP-42
Tier 2
EMEP/EEA guidebook
2019
Tier 1
EMEP/EEA guidebook
2019
Tier 2
EMEP/EEA Guidebook
2019
Tier 2
EMEP/EEA guidebook
2019, AP-42
Tier 1
EMEP/EEA Guidebook
2019
Tier 1
EMEP/EEA Guidebook
2019
Tier 1 and Tier 2
EMEP/EEA Guidebook
Tier 22019

AgrEE tool (AgriculturalEmission Estimation tool)https://edgar.jrc.ec.europa.eu/agree_tool

Most critical sectors for data availability: solvents, chemicals,pipelines

Challenges of developing global emissions• Spatial proxies might be varying for the different SLCFs:- SOx, NOx Emission Control Areas for shipping- define substance-dependent weighting factors for certain proxies (based on S
content for US power plants)• Point sources: lack of detailed data for some industrial activities and power
plants (consistency)• Spatial proxy need to be time dependant (lack of data)• Time resolution: monthly data (seasonality of agriculture, residential, etc.),
hourly to model haze events and hot spots (e.g. transport)

Applications (1): Gapfilling the global view ofofficially reported inventories
HTAPv3 mosaic

NOx emissions (2015)

Applications (2): global emissions in urban areas
Crippa et al., 2021:
https://iopscience.iop.org/article/
10.1088/1748-9326/ac00e2

OECD regional outlook, 2021: 3. Reaching net-zerogreenhouse gas emissions: The role for regions and cities

Challenges and Successes of EDGAR• Challenges:- move towards higher Tier methods to identify mitigation actions (lack of data)- integrate near-real time data (e.g. satellite) to improve the spatial and temporal
distribution of SLCFs (power plants, transport)- Develop methodologies to estimate t-1 emissions (e.g. Fast-Track methods for
SLCF, dynamic global inventory)• Successes:- global consistency (countries, sectors, pollutants, methods) and historic timeseries -> trends monitoring and benchmarking- wide use by modelers- policy relevance (GHGs, AgrEE tool, HTAP, etc.)

Thanks for your attention!