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Partitioning the role of emissions and meteorology in driving pollutants concentrations: a data-driven approach based on eddy covariance

Conference Poster
Publication Date:
2015
abstract:
http://www.meteo.fr/icuc9/Poster/TUKUP.pdf
Iris type:
04.03 Poster in Atti di convegno
Keywords:
eddy covariance; CO2 concentrations; artificial neural networks; self-organized maps; atmospheric dynamics
List of contributors:
Vagnoli, Carolina; DI LONARDO, Sara; Zaldei, Alessandro; Gualtieri, Giovanni; Gioli, Beniamino; Toscano, Piero
Authors of the University:
DI LONARDO SARA
GIOLI BENIAMINO
GUALTIERI GIOVANNI
TOSCANO PIERO
VAGNOLI CAROLINA
ZALDEI ALESSANDRO
Handle:
https://iris.cnr.it/handle/20.500.14243/320530
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