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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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COSMO-CLM outputs Central Asia Russo et al. 2019

Authors: Russo, Emmanuele;

COSMO-CLM outputs Central Asia Russo et al. 2019

Abstract

Monthly values of 2-meter temperature (T2M), total precipitation (TOT_PREC) and diurnal temperature range (DTR) derived from the simulations performed with the Regional Climate Model COSMO-CLM (Roeckel et al. 2008) for the CORDEX Central Asia Domain, presented in Russo et al. 2019 ( https://doi.org/10.5194/gmd-2019-22, 2019). The data have a spatial resolution of ~25 km. The data cover the period 1996-2005. For some realization, a file covering the period 2005-2015 is also present. All simulations are initialized on the 01.01.1991. The only exception are 4 simulations used to investigate the model internal variability, whose initial time has been shifted of +1,-1,+3 and -3 with respect to the default initial date.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator 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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