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

Bouillon, Marie; Safieddine, Sarah; Whitburn, Simon; Clarisse, Lieven; Aires, Filipe; Pellet, Victor; Lezeaux, Olivier; Scott, Noëlle A.; Doutriaux-Boucher, Marie; Clerbaux, Cathy

doi:https://doi.org/10.5194/amt-15-1779-2022

Articles | Volume 15, issue 6

Atmos. Meas. Tech., 15, 1779–1793, 2022

https://doi.org/10.5194/amt-15-1779-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Atmos. Meas. Tech., 15, 1779–1793, 2022

https://doi.org/10.5194/amt-15-1779-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 6

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.

Supplement

https://doi.org/10.5194/amt-15-1779-2022-supplement

Data sets

IASI Level 1C Climate Data REcord Release 1 - Metop-A EUMETSAT https://doi.org/10.15770/EUM_SEC_CLM_0014

IASI-A and -B climate data record of all sky temperature and humidity profiles Release 1 M. Doutriaux-Boucher and T. August https://doi.org/10.15770/EUM_SEC_CLM_0027

ERA5 hourly data on pressure levels from 1979 to present Copernicus https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-pressure-levels?tab=overview

Analyzed RadioSoundings Archive (ARSA) N. Scott https://ara.lmd.polytechnique.fr/index.php?page=arsa

Atmospheric Temperature Profiles (ATP) M. Bouillon https://iasi-ft.eu/products/atmospheric-temperature-profiles/

IASI-FT Atmospheric Temperature Profiles [dataset], Metop-A temperatures M. Bouillon https://doi.org/hbxm

IASI-FT Atmospheric Temperature Profiles [dataset], Metop-B temperatures M. Bouillon https://doi.org/hbxn

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.