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Updated: Sep 15, 2025
09:55
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
8.8K
French agroclimatic research network dataset
Carina Furusho-Percot1, Olivier Maury1, Vincent Minet1
1INRAE, AgroClim, Avignon, 84140, France.
Data in Brief
|July 17, 2025
Summary
The AgroClim dataset offers decades of reliable French weather station data, now publicly accessible. This climatological data supports agricultural research, earth system simulations, and environmental cycle modeling.
Area of Science:
- Environmental Science
- Agricultural Science
- Climate Science
Background:
- The AgroClim dataset comprises multi-decade time-series of daily and hourly weather data from 54 French sites.
- This reliable climatological data has supported numerous French National Institute for Agricultural Research (INRAE) projects for decades.
Purpose of the Study:
- To describe the data acquisition and maintenance methods ensuring the quality of the AgroClim dataset.
- To highlight the dataset's open-access availability and its potential applications.
Main Methods:
- Data acquisition using consistent instrumentation across 54 sites.
- Rigorous maintenance protocols to ensure data quality and reliability over decades.
- Inclusion of specific measurements such as leaf wetness duration and soil temperature at multiple depths.
Main Results:
- The AgroClim dataset is now available in open access.
- The paper details the quality assurance processes for the climatological data.
- The dataset includes unique measurements valuable for various scientific domains.
Conclusions:
- The AgroClim dataset provides a valuable, high-quality resource for climate science, agricultural research, and environmental modeling.
- Its open-access nature facilitates broader scientific use, including reanalysis datasets and earth system model validation.
- The inclusion of specialized data enhances its utility for crop modeling and biogeochemical cycle studies.
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