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Release of the community aerosol dynamics model MAFOR v2 and the urban case dataset published in Karl et al., GMD, 2021

Authors: Karl, Matthias; Pirjola, Liisa; Grönholm, Tiia; Kurppa, Mona; Anand, Srinivasan; Zhang, Xiaole; Held, Andreas; +6 Authors

Release of the community aerosol dynamics model MAFOR v2 and the urban case dataset published in Karl et al., GMD, 2021

Abstract

This is the release of the community aerosol dynamics model MAFOR (v1.9.9) and the urban case dataset published with the GMD article (Matthias Karl, Liisa Pirjola, Tiia Gr��nholm, Mona Kurppa, Srinivasan Anand, Xiaole Zhang, Andreas Held, Rolf Sander, Miikka Dal Maso, David Topping, Shuai Jiang, Leena Kangas and Jaakko Kukkonen: "Description and evaluation of the community aerosol dynamics model MAFOR v2.0"). The program version v1.9.9 of the MAFOR model code was used in the article for simulation of the urban case scenario and three numerical experiments. The program is an open source code subject to the GPL-3 license.

Keywords

aerosol dynamics model, aerosol chemistry, new particle formation, gas-phase chemistry, urban air pollution, ultrafine particles

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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