Articles | Volume 10, issue 2
https://doi.org/10.5194/essd-10-919-2018
© Author(s) 2018. 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-10-919-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data review article
| 
23 May 2018
Data review article |
| 23 May 2018
| 23 May 2018
ReOBS: a new approach to synthesize long-term multi-variable dataset and application to the SIRTA supersite
Marjolaine Chiriaco
CORRESPONDING AUTHOR
LATMOS/IPSL, UVSQ Université Paris-Saclay, UPMC Univ. Paris 06,
CNRS, Guyancourt, France
Jean-Charles Dupont
Institute Pierre Simon Laplace, Ecole Polytechnique, Université
Paris-Saclay, Palaiseau, France
Sophie Bastin
LATMOS/IPSL, UVSQ Université Paris-Saclay, UPMC Univ. Paris 06,
CNRS, Guyancourt, France
Jordi Badosa
Laboratoire de Météorologie Dynamique, Ecole Polytechnique,
Palaiseau, France
Julio Lopez
Institute Pierre Simon Laplace, Ecole Polytechnique, Université
Paris-Saclay, Palaiseau, France
Martial Haeffelin
Institute Pierre Simon Laplace, Ecole Polytechnique, Université
Paris-Saclay, Palaiseau, France
Helene Chepfer
Laboratoire de Météorologie Dynamique, Univ. Pierre and Marie Curie,
Paris, France
Rodrigo Guzman
Laboratoire de Météorologie Dynamique, Univ. Pierre and Marie Curie,
Paris, France
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Saved (final revised paper)
Latest update: 17 Sep 2026
Short summary
A scientific approach is presented to aggregate and harmonize a set of 60 geophysical variables at hourly scale over a decade, and to allow multiannual and multi-variable studies combining atmospheric dynamics and thermodynamics, radiation, clouds and aerosols from ground-based observations.
A scientific approach is presented to aggregate and harmonize a set of 60 geophysical variables...
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