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Earth Syst. Sci. Data, 10, 919-940, 2018
https://doi.org/10.5194/essd-10-919-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Review article
23 May 2018
ReOBS: a new approach to synthesize long-term multi-variable dataset and application to the SIRTA supersite
Marjolaine Chiriaco1, Jean-Charles Dupont2, Sophie Bastin1, Jordi Badosa4, Julio Lopez2, Martial Haeffelin2, Helene Chepfer3, and Rodrigo Guzman3 1LATMOS/IPSL, UVSQ Université Paris-Saclay, UPMC Univ. Paris 06, CNRS, Guyancourt, France
2Institute Pierre Simon Laplace, Ecole Polytechnique, Université Paris-Saclay, Palaiseau, France
3Laboratoire de Météorologie Dynamique, Univ. Pierre and Marie Curie, Paris, France
4Laboratoire de Météorologie Dynamique, Ecole Polytechnique, Palaiseau, France
Abstract. A scientific approach is presented to aggregate and harmonize a set of 60 geophysical variables at hourly timescale over a decade, and to allow multiannual and multi-variable studies combining atmospheric dynamics and thermodynamics, radiation, clouds and aerosols from ground-based observations. Many datasets from ground-based observations are currently in use worldwide. They are very valuable because they contain complete and precise information due to their spatio-temporal co-localization over more than a decade. These datasets, in particular the synergy between different type of observations, are under-used because of their complexity and diversity due to calibration, quality control, treatment, format, temporal averaging, metadata, etc. Two main results are presented in this article: (1) a set of methods available for the community to robustly and reliably process ground-based data at an hourly timescale over a decade is described and (2) a single netCDF file is provided based on the SIRTA supersite observations. This file contains approximately 60 geophysical variables (atmospheric and in ground) hourly averaged over a decade for the longest variables. The netCDF file is available and easy to use for the community. In this article, observations are re-analyzed. The prefix re refers to six main steps: calibration, quality control, treatment, hourly averaging, homogenization of the formats and associated metadata, as well as expertise on more than a decade of observations. In contrast, previous studies (i) took only some of these six steps into account for each variable, (ii) did not aggregate all variables together in a single file and (iii) did not offer an hourly resolution for about 60 variables over a decade (for the longest variables). The approach described in this article can be applied to different supersites and to additional variables. The main implication of this work is that complex atmospheric observations are made readily available for scientists who are non-experts in measurements. The dataset from SIRTA observations can be downloaded at http://sirta.ipsl.fr/reobs.html (last access: April 2017) (Downloads tab, no password required) under https://doi.org/10.14768/4F63BAD4-E6AF-4101-AD5A-61D4A34620DE.
Citation: Chiriaco, M., Dupont, J.-C., Bastin, S., Badosa, J., Lopez, J., Haeffelin, M., Chepfer, H., and Guzman, R.: ReOBS: a new approach to synthesize long-term multi-variable dataset and application to the SIRTA supersite, Earth Syst. Sci. Data, 10, 919-940, https://doi.org/10.5194/essd-10-919-2018, 2018.
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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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