Articles | Volume 15, issue 6
Atmos. Meas. Tech., 15, 1779–1793, 2022
https://doi.org/10.5194/amt-15-1779-2022
Atmos. Meas. Tech., 15, 1779–1793, 2022
https://doi.org/10.5194/amt-15-1779-2022
Research article
24 Mar 2022
Research article | 24 Mar 2022

Time evolution of temperature profiles retrieved from 13 years of infrared atmospheric sounding interferometer (IASI) data using an artificial neural network

Marie Bouillon 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 amt-2021-302', Anonymous Referee #1, 11 Nov 2021
  • RC2: 'Comment on amt-2021-302', Anonymous Referee #2, 01 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Marie Bouillon on behalf of the Authors (31 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (07 Feb 2022) by Lars Hoffmann
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Short summary
The IASI instruments have been observing Earth since 2007. We use a neural network to retrieve atmospheric temperatures. This new temperature data record is validated against other datasets and shows good agreement. We use this new dataset to compute trends over the 2008–2020 period. We found a warming of the troposphere, more important at the poles. In the stratosphere, we found that temperatures decrease everywhere except at the South Pole. The cooling is more pronounced at the South pole.