The AirGAM 2022r1 air quality trend and prediction model

<p>This paper presents the AirGAM 2022r1 model – an air quality trend and prediction model developed at the Norwegian Institute for Air Research (NILU) in cooperation with the European Environment Agency (EEA) over 2017–2021. AirGAM is based on nonlinear regression GAMs – generalised additive...

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Bibliographic Details
Main Authors: S.-E. Walker, S. Solberg, P. Schneider, C. Guerreiro
Format: Article
Language:English
Published: Copernicus Publications 2023-01-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/16/573/2023/gmd-16-573-2023.pdf