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.
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Some basic informations about API Store ®.
Operation and development of APIs are currently fully funded by company Apitalks and its usage is for free.
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