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ZENODO
Dataset . 2020
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 . 2020
License: CC BY
Data sources: ZENODO
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Climate simulation over the European Alps for the period 1902-2010 produced with the model MAR

Authors: Ménégoz, Martin; Fettweis, Xavier; Gallée, Hubert; Belleflamme, Alexandre; Beaumet, Julien;

Climate simulation over the European Alps for the period 1902-2010 produced with the model MAR

Abstract

As part of the project CDP TRAJECTORIES, the production of this dataset has been funded by the French National Research Agency in the framework of the " Investissements d'avenir" program (ANR-15-IDEX-02). The authors thank the GRICAD project (https://gricad.univ-grenoble-alpes.fr/) and the "Institut du Développement et des ressources en Informatique" (IDRIS, CNRS, project n° A0080101523, "Modélisation régionale des climats polaires et montagnards") for providing computer time to run the simulations on which are based this dataset.

This directory contains the netcdf files produced with the MAR model (http://mar.cnrs.fr/; https://gitlab.com/Mar-Group) applied over the European Alps, for the period 1902-2010, based on a spatial resolution of 7km. This data is a downscaling of the ERA20C reanalysis. The list of variables available is described in the file variables.txt, and further information can be found in the file readme.txt

Keywords

Precipitation, extreme events, European Alps, climate change

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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.
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influence
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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