Lessons learnt from the first EMEP intensive measurement periods

Autor: David Simpson, Cinzia Perrino, Gerald Spindler, Wenche Aas, Ulla Makkonen, Eiko Nemitz, René Otjes, Jean-Philippe Putaud, Karl Espen Yttri, Robert Gehrig, André S. H. Prévôt, Marina Frölich, Hilde Fagerli, Elke Bieber, Robert Bergström, Svetlana Tsyro, Milan Vana, Noemí Pérez, Darius Ceburnis, Thomas Ellermann
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Atmospheric Chemistry and Physics
Aas, W, Tsyro, S, Bieber, E, Bergström, R, Ceburnis, D, Ellermann, T, Fagerli, H, Frölich, M, Gehrig, R, Makkonen, U, Nemitz, E, Otjes, R, Perez, N, Perrino, C, Prévôt, A S H, Putaud, J-P, Simpson, D, Spindler, G, Vana, M & Yttri, K E 2012, ' Lessons learnt from the first EMEP intensive measurement periods ', Atmospheric Chemistry and Physics, vol. 12, pp. 8073-8094 . https://doi.org/10.5194/acp-12-8073-2012
Digital.CSIC. Repositorio Institucional del CSIC
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Atmospheric Chemistry and Physics, Vol 12, Iss 17, Pp 8073-8094 (2012)
Popis: The first EMEP intensive measurement periods were held in June 2006 and January 2007. The measurements aimed to characterize the aerosol chemical compositions, including the gas/aerosol partitioning of inorganic compounds. The measurement program during these periods included daily or hourly measurements of the secondary inorganic components, with additional measurements of elementaland organic carbon (EC and OC) and mineral dust in PM1, PM2.5 and PM10. These measurements have provided extended knowledge regarding the composition of particulate matter and the temporal and spatial variability of PM, as well as an extended database for the assessment of chemical transport models. This paper summarise the first experiences of making use of measurements from the first EMEP intensive measurement periods along with EMEP model results from the updated model version to characterise aerosol composition. We investigated how the PM chemical composition varies between the summer and the winter month and geographically.
JRC.H.2-Air and Climate
Databáze: OpenAIRE