Articles | Volume 15, issue 6
Atmos. Meas. Tech., 15, 1779–1793, 2022
Atmos. Meas. Tech., 15, 1779–1793, 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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Cited articles

Aires, F., Chédin, A., Scott, N. A., and Rossow, W. B.: A regularized neural net approach for retrieval of atmospheric and surface temperatures with the IASI instrument, J. Appl. Meteorol., 41, 144–159,<0144:ARNNAF>2.0.CO;2, 2002. 
Aquila, V., Swartz, W. H., Waugh, D. W., Colarco, P. R., Pawson, S., Polvani, L. M., and Stolarski, R. S.: Isolating the roles of different forcing agents in global stratospheric temperature changes using model integrations with incrementally added single forcings, J. Geophys. Res.-Atmos., 121, 8067–8082,, 2016. 
Bormann, N., Bonavita, M., Dragani, R., Eresmaa, R., Matricardi, M., and McNally, A.: Enhancing the impact of IASI observations through an updated observation-error covariance matrix, Q. J. Roy. Meteorol. Soc., 142, 1767–1780,, 2016. 
Bouillon, M.: IASI-FT Atmospheric Temperature Profiles, LATMOS/ULB [data set], (last access: 15 March 2022), 2021a. 
Bouillon, M.: IASI-FT Atmospheric Temperature Profiles, LATMOS/ULB [dataset], Metop-A temperatures, (last access: 15 March 2022), 2021b. 
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.