Preprints
https://doi.org/10.5194/egusphere-2022-416
https://doi.org/10.5194/egusphere-2022-416
08 Jul 2022
 | 08 Jul 2022

Spectral Observations at the CILBO Observatory: Calibration and Data Sets

Joe Zender, Detlef Koschny, Regina Rudawska, Salvatore Vicinanza, Stefan Loehle, Martin Eberhardt, Arne Meindl, Hans Smit, Lionel Marraffa, Rico Landman, and Daphne Stam

Abstract. The Canary Island Long-Baseline Observatory (CILBO) is a double station meteor camera setup located on the Canary Islands and operated by ESA’s Meteor Research Group since 2010. Observations of meteors are obtained in the visual wavelength band by intensified video cameras from both stations, supplemented by an intensified video camera mounted with a spectral grating at one of the locations. The cameras observe during cloudless and precipitation-free nights and data are transferred to a main computer located at ESA/ESTEC once a day. The image frames that contain spectral information are calibrated, corrected, and finally processed into line intensity profiles. An ablation simulation, based on Bayesian statistics using a Markov-Chain Monte-Carlo method, allows to determine a parameter space, including the ablation temperatures, chemical elements and their corresponding line intensities, to fit against the line intensity profiles of the observed meteor spectra. The algorithm is presented in this paper and one example is discussed. Several hundred spectra have been processed and made available through the Guest Archive Facility of the Planetary Science Archive of ESA. The data format and meta-data are explained.

Journal article(s) based on this preprint

04 May 2023
Spectral observations at the Canary Island Long-Baseline Observatory (CILBO): calibration and datasets
Joe Zender, Detlef Koschny, Regina Rudawska, Salvatore Vicinanza, Stefan Loehle, Martin Eberhart, Arne Meindl, Hans Smit, Lionel Marraffa, Rico Landman, and Daphne Stam
Geosci. Instrum. Method. Data Syst., 12, 91–109, https://doi.org/10.5194/gi-12-91-2023,https://doi.org/10.5194/gi-12-91-2023, 2023
Short summary

Joe Zender et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-416', Juraj Tóth, 08 Aug 2022
    • AC1: 'Reply on RC1', Joe Zender, 09 Feb 2023
  • CC1: 'Comment on egusphere-2022-416', F. Bettonvil, 18 Sep 2022
    • AC2: 'Reply on CC1', Joe Zender, 09 Feb 2023
  • AC3: 'Comment on egusphere-2022-416', Joe Zender, 09 Feb 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-416', Juraj Tóth, 08 Aug 2022
    • AC1: 'Reply on RC1', Joe Zender, 09 Feb 2023
  • CC1: 'Comment on egusphere-2022-416', F. Bettonvil, 18 Sep 2022
    • AC2: 'Reply on CC1', Joe Zender, 09 Feb 2023
  • AC3: 'Comment on egusphere-2022-416', Joe Zender, 09 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Joe Zender on behalf of the Authors (13 Feb 2023)  Author's response 
EF by Anna Mirena Feist-Polner (15 Feb 2023)  Manuscript   Author's tracked changes 
ED: Publish subject to technical corrections (01 Mar 2023) by Jean Dumoulin
AR by Joe Zender on behalf of the Authors (10 Mar 2023)  Manuscript 

Journal article(s) based on this preprint

04 May 2023
Spectral observations at the Canary Island Long-Baseline Observatory (CILBO): calibration and datasets
Joe Zender, Detlef Koschny, Regina Rudawska, Salvatore Vicinanza, Stefan Loehle, Martin Eberhart, Arne Meindl, Hans Smit, Lionel Marraffa, Rico Landman, and Daphne Stam
Geosci. Instrum. Method. Data Syst., 12, 91–109, https://doi.org/10.5194/gi-12-91-2023,https://doi.org/10.5194/gi-12-91-2023, 2023
Short summary

Joe Zender et al.

Joe Zender et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
The manuscript describes the ground-based camera equipment to obtain images from the dust ablation phenomena (meteors) in the Earth atmosphere. The meteors are observed from two locations , but one station is equipped with a camera containing a spectral grating which allows to follow and determine the spectral information through the meteor ablation process. We describe the data merging, calibration, and processing to finally derive to the meteor composition.