Articles | Volume 11, issue 2
Geosci. Instrum. Method. Data Syst., 11, 293–306, 2022
https://doi.org/10.5194/gi-11-293-2022
Geosci. Instrum. Method. Data Syst., 11, 293–306, 2022
https://doi.org/10.5194/gi-11-293-2022
Research article
11 Aug 2022
Research article | 11 Aug 2022

Response time correction of slow-response sensor data by deconvolution of the growth-law equation

Knut Ola Dølven et al.

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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-2021-28', Anonymous Referee #1, 13 Dec 2021
    • AC3: 'Reply on RC1', Knut Ola Dølven, 08 Apr 2022
  • RC2: 'Comment on gi-2021-28', Anonymous Referee #2, 03 Feb 2022
    • AC1: 'Reply on RC2', Knut Ola Dølven, 08 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Knut Ola Dølven on behalf of the Authors (02 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (19 May 2022) by Takehiko Satoh
AR by Knut Ola Dølven on behalf of the Authors (22 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 Jul 2022) by Takehiko Satoh
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Short summary
Sensors capable of measuring rapid fluctuations are important to improve our understanding of environmental processes. Many sensors are unable to do this, due to their reliance on the transfer of the measured property, for instance a gas, across a semi-permeable barrier. We have developed a mathematical tool which enables the retrieval of fast-response signals from sensors with this type of sensor design.