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[Display omitted] • GEISA-2020 database release: 6,746,987 entries in the line parameters database. • 23 molecules updated and 6 new molecules added (HONO, COFCl, CH 3 F, CH 3 I, RuO 4 , H 2 C 3 H 2 (isomer of C 3 H 4). • Evaluation of the spectroscopic parameters through radiative transfer simulations compared to atmospheric spectra (SPARTE chain). This paper describes the 2020 release of the GEISA database (Gestion et Etude des Informations Spectroscopiques Atmosphériques: Management and Study of Atmospheric Spectroscopic Information), developed and maintained at LMD since 1974. GEISA is the reference database for several current or planned Thermal and Short-Wave InfraRed (TIR and SWIR) space missions IASI (Infrared Atmospheric Sounding Interferometer), IASI-NG (IASI New Generation), MicroCarb (Carbon Dioxide Monitoring Mission), Merlin (MEthane Remote sensing LIdar missioN). It is actually a compilation of three databases: the "line parameters database", the "cross-section sub-database" and the "microphysical and optical properties of atmospheric aerosols sub-database". The new edition concerns only the line parameters dataset, with significant updates and additions implemented using the best available spectroscopic data. The GEISA-2020 line parameters database involves 58 molecules (145 isotopic species) and contains 6,746,987 entries, in the spectral range from 10−6 to 35877 cm−1. In this version, 23 molecules have been updated (with 10 new isotopic species) and 6 new molecules have been added (HONO, COFCl, CH 3 F, CH 3 I, RuO 4 , H 2 C 3 H 2 (isomer of C 3 H 4)) corresponding to 15 isotopic species. The compilation can be accessed through the AERIS data and services center for the atmosphere website (https://geisa.aeris-data.fr/), with the development of a powerful graphical tool and convenient searching, filtering, and plotting of data using modern technologies (PostgreSQL database, REST API, VueJS, Plotly). Based on four examples (H 2 O, O 3, O 2 and SF 6), this paper also shows how the LMD in house validation algorithm SPARTE (Spectroscopic Parameters And Radiative Transfer Evaluation) helps to evaluate, correct, reject or defer the input of new spectroscopic data into GEISA and this, thanks to iterations with researchers from different communities (spectroscopy, radiative transfer). [ABSTRACT FROM AUTHOR]