Human activities and the corresponding anthropogenic emissions into the atmosphere show marked temporal variations, from inter-annual to hourly levels. Yearly emissions might be unable, for example, to adequately reflect heavy pollution episodes, seasonal trends, or any process which is inherently time-dependant, thus undermining the capability to determine the causes and to take adequate mitigation measure. Moreover, chemical transport models (CTMs) require the use of spatio-temporally distributed emission data, to simulate the dynamics of photochemical compounds in the atmosphere and pollution loadings during different periods of the year and during different hours of the day.
Diego Guizzardi; Efisio Solazzo; Ernest Koffi; Greet Janssens-Maenhout; Marilena Muntean; Monica Crippa
Crippa, Monica; Solazzo, Efisio; Guizzardi, Diego; Koffi, Ernest; Muntean, Marilena; Janssens-Maenhout, Greet (2026): EDGAR_temporal_profiles_r1: New high resolution temporal profiles in EDGAR. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.0F1B8YG PID: http://data.europa.eu/89h/b18d9435-1666-4c4b-9a0a-bcb6dd0c461d
air pollutantsdailyemissionsgreenhouse gashourlyinventorymonthlytemporal profiles
High resolution temporal profiles have been developed within the EDGAR database, allowing the disaggregation of the annual emission into monthly and hourly emissions, with country- and sector-specific temporal profiles for regulated gaseous and particulate air pollutants, as well as for greenhouse gases. An additional novelty of this methodology is the development of time-varying yearly profiles for sectors showing a strong seasonal pattern over different years (e.g. power generation and small combustion).
| From date | To date |
|---|---|
| 1970-01-01 | 2018-01-01 |