Articles | Volume 12, issue 2
https://doi.org/10.5194/gi-12-239-2023
https://doi.org/10.5194/gi-12-239-2023
Research article
 | 
01 Dec 2023
Research article |  | 01 Dec 2023

Daedalus Ionospheric Profile Continuation (DIPCont): Monte Carlo studies assessing the quality of in situ measurement extrapolation

Joachim Vogt, Octav Marghitu, Adrian Blagau, Leonie Pick, Nele Stachlys, Stephan Buchert, Theodoros Sarris, Stelios Tourgaidis, Thanasis Balafoutis, Dimitrios Baloukidis, and Panagiotis Pirnaris

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gi-2022-12', Alessio Pignalberi, 09 Sep 2022
    • AC1: 'Reply on RC1', Joachim Vogt, 15 Mar 2023
  • RC2: 'Comment on gi-2022-12', Anonymous Referee #2, 21 Dec 2022
    • AC2: 'Reply on RC2', Joachim Vogt, 15 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Joachim Vogt on behalf of the Authors (15 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (22 Jun 2023) by Jean Dumoulin
RR by Alessio Pignalberi (03 Jul 2023)
RR by Anonymous Reviewer #2 (29 Jul 2023)
ED: Publish subject to minor revisions (review by editor) (12 Aug 2023) by Jean Dumoulin
AR by Joachim Vogt on behalf of the Authors (01 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (06 Oct 2023) by Jean Dumoulin
AR by Joachim Vogt on behalf of the Authors (13 Oct 2023)  Manuscript 
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Short summary
Motivated by recent community interest in a satellite mission to the atmospheric lower thermosphere and ionosphere (LTI) region (100–200 km altitude), the DIPCont project is concerned with the reconstruction quality of vertical profiles of key LTI variables using dual- and single-spacecraft observations. The report introduces the probabilistic DIPCont modeling framework, demonstrates its usage by means of a set of self-consistent parametric non-isothermal models, and discusses first results.