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Other ORP type . 2019
License: CC BY
Data sources: Datacite
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Other ORP type . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Other ORP type . 2019
License: CC BY
Data sources: ZENODO
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COSMO-CLM Namelists for the simulations exploring the model parameter space over the CORDEX Central Asia domain

appsOther research productkeyboard_double_arrow_right Other ORP type 30 Oct 2019Publisher:Zenodo
Authors: Russo, Emmanuele;

doi: 10.5281/zenodo.3523176 , 10.5281/zenodo.3523177

COSMO-CLM Namelists for the simulations exploring the model parameter space over the CORDEX Central Asia domain

Abstract

The presented files are the configuration files used to set up the sensitivity simulations performed with the Regional Climate Model COSMO-CLM (Roeckel et al. 2008) for the CORDEX Central Asia and Europe domain, presented in the paper "Exploring the Parameters Space of the Regional Climate Model COSMO-CLM 5.0 for the CORDEX Central Asia Domain" by RUSSO et al. (geoscientific model development), submitted for the first time on the 31st of October 2019.. The files contain the configuration description files for the COSMO-CLM and for its interpolation routine, denominated INT2LM, for the reference simulations over the two considered domains. Different sensitivity experiments can be performed starting from the reference setup and changing parameters values as described in the mentioned paper.

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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.
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