Articles | Volume 11, issue 1
https://doi.org/10.5194/essd-11-71-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-71-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
57 years (1960–2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m of altitude)
Yves Lejeune
Univ. Grenoble Alpes, Université de Toulouse, Météo-France,
Grenoble, France, CNRS, CNRM, Centre d'Etudes de la Neige,
Grenoble, France
Marie Dumont
CORRESPONDING AUTHOR
Univ. Grenoble Alpes, Université de Toulouse, Météo-France,
Grenoble, France, CNRS, CNRM, Centre d'Etudes de la Neige,
Grenoble, France
Jean-Michel Panel
Univ. Grenoble Alpes, Université de Toulouse, Météo-France,
Grenoble, France, CNRS, CNRM, Centre d'Etudes de la Neige,
Grenoble, France
Matthieu Lafaysse
Univ. Grenoble Alpes, Université de Toulouse, Météo-France,
Grenoble, France, CNRS, CNRM, Centre d'Etudes de la Neige,
Grenoble, France
Philippe Lapalus
Univ. Grenoble Alpes, Université de Toulouse, Météo-France,
Grenoble, France, CNRS, CNRM, Centre d'Etudes de la Neige,
Grenoble, France
Erwan Le Gac
Univ. Grenoble Alpes, Université de Toulouse, Météo-France,
Grenoble, France, CNRS, CNRM, Centre d'Etudes de la Neige,
Grenoble, France
Bernard Lesaffre
Univ. Grenoble Alpes, Université de Toulouse, Météo-France,
Grenoble, France, CNRS, CNRM, Centre d'Etudes de la Neige,
Grenoble, France
Samuel Morin
Univ. Grenoble Alpes, Université de Toulouse, Météo-France,
Grenoble, France, CNRS, CNRM, Centre d'Etudes de la Neige,
Grenoble, France
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35 citations as recorded by crossref.
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Latest update: 14 Nov 2024
Short summary
This paper introduces and provides access to a daily (1960–2017) and an hourly (1993–2017) dataset of snow and meteorological data measured at the Col de Porte site, 1325 m a.s.l, Charteuse, France. The daily dataset can be used to quantify the effect of climate change at this site, with a reduction of the mean snow depth of 39 cm from 1960–1990 to 1990–2017. The daily and hourly datasets are useful and appropriate for driving and evaluating a snowpack model over such a long period.
This paper introduces and provides access to a daily (1960–2017) and an hourly (1993–2017)...
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