TY - JOUR
T1 - The 2020 edition of the GEISA spectroscopic database
AU - Delahaye, T.
AU - Armante, R.
AU - Scott, N.A.
AU - Jacquinet-Husson, N.
AU - Chédin, A.
AU - Crevoisier, C.
AU - Douet, V.
AU - Perrin, A.
AU - Barbe, Alain
AU - Boudon, Vincent
AU - Campargue, Alain
AU - Coudert, L.H.
AU - Ebert, V.
AU - Flaud, Jean-Marie
AU - Gamache, Robert
AU - Jacquemart, David
AU - Jolly, A.
AU - Kwabia–Tchana, Fridolin
AU - Kyuberis, A.
AU - Li, G.
AU - Lyulin, Oleg M.
AU - Manceron, L.
AU - Mikhailenko, Semen N.
AU - Moazzen-Ahmadi, Nasser
AU - Müller, H.S.P.
AU - Naumenko, Olga V.
AU - Nikitin, Andrei
AU - Perevalov, Valery I.
AU - Richard, C.
AU - Starikova, Evgeniya N.
AU - Tashkun, Sergei A.
AU - Tyuterev, Vladimir G.
AU - Vander Auwera, Jean
AU - Vispoel, Bastien
AU - Yachmenev, Andrey
AU - Yurchenko, Sergei N.
N1 - Funding Information:
IASI has been developed and built under the responsibility of CNES. It is flown onboard the Metop satellites as part of the EUMETSAT Polar System. The IASI L1 data are received through the EUMETCast near real time data distribution service. We particularly wish to thank the Mésocentre ESPRI services for their help in getting IASI data. TCCON data were obtained from the TCCON Data Archive, hosted by the Carbon Dioxide Information Analysis Center (CDIAC) – tccon.onrl.gov. Calculations were performed using the resources of IDRIS, the computing centre of CNRS and of the IPSL data and computing centre Mésocentre ESPRI. This work has been funded by CNES. The authors thank the CNES MicroCarb team for support and fruitful discussions. The authors are thankful to ECMWF for making the ERA-I and ERA5 outputs available through the ECMWF Data Server. We also thank the AERIS/IPSL/CNES atmospheric data and computing centre for ensuring a friendly access to the GEISA international community and for managing the website. Pr. R.R. Gamache is pleased to acknowledge support of this research by the National Science Foundation through Grant No. AGS-1156862. The researches from V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of Russian Academy of Sciences were supported by the Ministry of Science and Higher Education of the Russian Federation. The financial support of the Natural Sciences and Engineering Research Council of Canada is gratefully acknowledged by Pr. N. Moazzen-Ahmadi. The work of Tomsk group on ozone spectroscopy was supported by the Russian Science Foundation RNF grant no. 19-12-00171. GSMA Reims and LiPhy Grenoble acknowledge a support from the French-Russian collaboration program LIA CNRS “SAMIA”. V. Ebert and G. Li acknowledge support of the work by the EUMETRISPEC project (www.eumetrispec.org) within the European Metrology Research Program (EMRP). Last but not least, our warmest thanks go to Nicole Jacquinet who has recently retired. Nicole has devoted more than 40 years of her life to the promotion of GEISA around the world and, more generally, of the need for up-to-date spectroscopy in order to benefit from innovate remote sensing observations. This work could not stop after that.
Funding Information:
IASI has been developed and built under the responsibility of CNES. It is flown onboard the Metop satellites as part of the EUMETSAT Polar System. The IASI L1 data are received through the EUMETCast near real time data distribution service. We particularly wish to thank the Mésocentre ESPRI services for their help in getting IASI data. TCCON data were obtained from the TCCON Data Archive, hosted by the Carbon Dioxide Information Analysis Center (CDIAC) – tccon.onrl.gov. Calculations were performed using the resources of IDRIS, the computing centre of CNRS and of the IPSL data and computing centre Mésocentre ESPRI. This work has been funded by CNES. The authors thank the CNES MicroCarb team for support and fruitful discussions. The authors are thankful to ECMWF for making the ERA-I and ERA5 outputs available through the ECMWF Data Server.
Funding Information:
The financial support of the Natural Sciences and Engineering Research Council of Canada is gratefully acknowledged by Pr. N. Moazzen-Ahmadi.
Funding Information:
The researches from V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of Russian Academy of Sciences were supported by the Ministry of Science and Higher Education of the Russian Federation.
Funding Information:
The work of Tomsk group on ozone spectroscopy was supported by the Russian Science Foundation RNF grant no. 19-12-00171. GSMA Reims and LiPhy Grenoble acknowledge a support from the French-Russian collaboration program LIA CNRS “SAMIA”.
Funding Information:
Pr. R.R. Gamache is pleased to acknowledge support of this research by the National Science Foundation through Grant No. AGS-1156862.
Publisher Copyright:
© 2021
PY - 2021/7/1
Y1 - 2021/7/1
N2 - 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, CH3F, CH3I, RuO4, H2C3H2 (isomer of C3H4)) 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 (H2O, O3, O2 and SF6), 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).
AB - 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, CH3F, CH3I, RuO4, H2C3H2 (isomer of C3H4)) 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 (H2O, O3, O2 and SF6), 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).
KW - Atmospheric absorption
KW - Earth and planetary radiative transfer
KW - Line parameters
KW - Molecular spectroscopic database
KW - Spectroscopic parameters evaluation
UR - http://www.scopus.com/inward/record.url?scp=85110700573&partnerID=8YFLogxK
U2 - 10.1016/j.jms.2021.111510
DO - 10.1016/j.jms.2021.111510
M3 - Article
SN - 0022-2852
VL - 380
JO - Journal of Molecular Spectroscopy
JF - Journal of Molecular Spectroscopy
IS - 111510
M1 - 111510
ER -