Preprints
https://doi.org/10.5194/egusphere-2025-6022
https://doi.org/10.5194/egusphere-2025-6022
07 Jan 2026
 | 07 Jan 2026
Status: this preprint is open for discussion and under review for Geoscientific Instrumentation, Methods and Data Systems (GI).

AIDA, a software package for atmospheric data analysis, interpretation, and FAIR data production

Sylvie Bénard, Bruno Piguet, William Maurel, Jean-Claude Étienne, Jacques Couzinier, Pascal Richard, Aurélie Riandet, and Arnaud Mequignon

Abstract. AIDA (Analysis and Interpretation of Data from the Atmosphere) is a modular software suite for analysing time series of atmospheric measurements from ground stations, ships, aircraft, drones or other platforms. Users define processing workflows as sequences of mathematical and statistical operators selected from AIDA's library. AIDA records metadata to ensure traceability and produces validated output files (NetCDF, CSV, etc.) that follow international conventions such as CF and ACDD, supporting FAIR principles (Findability, Accessibility, Interoperability, Reuse). Outputs from research projects using AIDA have been published (e.g., (Huynh et al., 2023)). The project stores time series and their metadata together in a self-describing format called the AIDA Vector.

Originally written in C, development now uses Python 3, NetCDF4, Udunits2, Qt5/6 and related technologies. This paper describes the AIDA Vector, the data organization, the workflow, and the surrounding tools that let users integrate and visualize data at every processing stage. AIDA is suitable for anyone responsible for atmospheric measurements.

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Sylvie Bénard, Bruno Piguet, William Maurel, Jean-Claude Étienne, Jacques Couzinier, Pascal Richard, Aurélie Riandet, and Arnaud Mequignon

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Sylvie Bénard, Bruno Piguet, William Maurel, Jean-Claude Étienne, Jacques Couzinier, Pascal Richard, Aurélie Riandet, and Arnaud Mequignon
Sylvie Bénard, Bruno Piguet, William Maurel, Jean-Claude Étienne, Jacques Couzinier, Pascal Richard, Aurélie Riandet, and Arnaud Mequignon

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Short summary
The analysis and data-processing programs and applications for observational meteorology and environmental research that we have developed over the years now allow us to simplify and automate the analysis, processing and production of data for research. The latest developments account for the arrival of multidimensional variables from remote‑sensing instruments and include graphical interfaces to facilitate use of the tools.
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