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.
- Greet Janssens-Maenhout
How to cite
Crippa, Monica; Solazzo, Efisio; Guizzardi, Diego; Koffi, Ernest; Muntean, Marilena; Janssens-Maenhout, Greet (2019): EDGAR_temporal_profiles_r1: New high resolution temporal profiles in EDGAR. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/b18d9435-1666-4c4b-9a0a-bcb6dd0c461d
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).
POLYGON((-180 89.9,179.9 89.9,179.9 -90,-180 -90,-180 89.9))
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