Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jun 20:61:111809.
doi: 10.1016/j.dib.2025.111809. eCollection 2025 Aug.

French agroclimatic research network dataset

Affiliations

French agroclimatic research network dataset

Carina Furusho-Percot et al. Data Brief. .

Abstract

The AgroClim dataset includes multi-decade long time-series of daily and hourly data from weather stations composed by the same twelve instruments at 54 sites throughout the French territory, including Corsica, Guyana and Guadeloupe. A large diversity of INRAE research projects benefited from the reliable climatological data from this dataset for decades. Now that the dataset is provided in open access for all, this paper describes the acquisition methods and maintenance that ensure the quality of the data. This data can contribute to enlarge observatories and observation datasets or assimilated, for producing reanalysis dataset, and ultimately used for validation of earth system simulations. Furthermore, this dataset contains rarely available measures as leaf wetness duration and soil temperature at 10 and 50 cm depths, which are useful for crop models and carbon, nitrogen and phosphorus cycle modelling. Moreover, the sites are located on research experimental sites, which contain data from long term agronomy experiments and can contribute to the study of a variety of bio-climatological studies.

Keywords: Climate; Humidity; Precipitation; Radiation; Temperature; Weather; Wetness; Wind.

PubMed Disclaimer

Figures

Fig 1
Fig. 1
Data files structure.
Fig 2
Fig. 2
Example of the data content, illustrated by a fragment of time-series for the weather station located in Avignon (84007004) in daily (a) and hourly (b) time-step.
Fig 3
Fig. 3
Annual mean temperature and precipitation for each one of the 54 INRAE agroclimatic stations of this dataset, extracted from station summary charts [11]. The four stations located in the tropics (Guyana and Guadeloupe) are represented by the darker dots (lower latitudes), with the highest mean annual temperatures and the higher total annual precipitation in the network.
Fig 4
Fig. 4
Map of stations of the INRAE national agroclimatic network currently running.
Fig 5
Fig. 5
Standard INRAE national agroclimatic network station. (1) rain gauge; (2) global radiation and PAR measurement; (3) wind direction measurement; (4) air temperature (2m) and humidity measurement; (5) wind speed measurement; (6) leaf wetness duration sensor; (7) temperatures at +10 and +50cm above the soil surface) and soil temperature measurement (-10 and -50cm). The system is autonomous thanks to the solar panel and the battery placed at the central acquisition box under the temperature shelter (4) and the data is transmitted by General Packet Radio Service (GPRS).

References

    1. Vidal T., Boixel A.-L., Maghrebi E., Perronne R., du Cheyron P., Enjalbert J., Leconte M., de Vallavieille-Pope C. Success and failure of invasive races of plant pathogens: the case of Puccinia striiformis f. sp. tritici in France. Plant Pathol. 2022;71:1525–1536. doi: 10.1111/ppa.13581. - DOI
    1. Cardinael R., Chevallier T., Cambou A., Béral C., Barthès B.G., Dupraz C., Durand C., Kouakoua E., Chenu C. Increased soil organic carbon stocks under agroforestry: a survey of six different sites in France. Agric. Ecosyst. Environ. 2017;236:243–255. doi: 10.1016/j.agee.2016.12.011. - DOI
    1. Aubertot J.-N., Robin M.-H. Injury profile SIMulator, a qualitative aggregative modelling framework to predict crop injury profile as a function of cropping practices, and the abiotic and biotic environment. I. Conceptual bases. PLOS One. 2013;8 doi: 10.1371/journal.pone.0073202. - DOI - PMC - PubMed
    1. Lander T.A., Klein E.K., Oddou-Muratorio S., Candau J.-N., Gidoin C., Chalon A., Roig A., Fallour D., Auger-Rozenberg M.-A., Boivin T. Reconstruction of a windborne insect invasion using a particle dispersal model, historical wind data, and Bayesian analysis of genetic data. Ecol. Evol. 2014;4:4609–4625. doi: 10.1002/ece3.1206. - DOI - PMC - PubMed
    1. Casagrande E., Génard M., Lurol S., Charles F., Bevacqua D., Martinetti D., Lescourret F. Brown rot disease in stored nectarines: modeling the combined effects of preharvest and storage conditions. Phytopathology®. 2022;112:1575–1583. doi: 10.1094/PHYTO-12-21-0499-R. - DOI - PubMed

LinkOut - more resources