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Python interface for GRAMM/GRAL modelling system

Authors: Berchet Antoine; Zink Katrin; Brunner Dominik;

Python interface for GRAMM/GRAL modelling system

Abstract

The modelling system GRAMM/GRAL is developed and maintained by the Technische Universität Graz (Austria)and the Air Quality Control office of the government of Styria (Austria). All codes are available at: lampx.tugraz.at/ gral/index.php. A python library was developed to use GRAMM/GRAL in a so-called match-to-observation mode. That is to say, a catalogue of reference simulations is matched with actual observations to deduce a sequence of weather situations. The procedure is fully described and evaluated in the two following publications: - Antoine Berchet, Katrin Zink, Clive Muller, Dietmar Oettl, Juerg Brunner, Lukas Emmenegger, Dominik Brunner, A cost-effective method for simulating city-wide air flow and pollutant dispersion at building resolving scale, Atmospheric Environment, Volume 158, June 2017, Pages 181-196, ISSN 1352-2310, http://doi.org/10.1016/j.atmosenv.2017.03.030. - Berchet, A., Zink, K., Oettl, D., Brunner, J., Emmenegger, L., and Brunner, D.: Evaluation of high-resolution GRAMM/GRAL NOx simulations over the city of Zurich, Switzerland, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-102, in review, 2017.

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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).
BIP!Citations provided by BIP!
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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1
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