Homogeneous temperature data record derived from 13 years of IASI data using an artificial neural network

Bouillon et al. (2022) recently designed a neural network to retrieve atmospheric temperatures from the IASI radiance data. This new temperature data record is validated against other datasets and a good agreement is shown. Trends were computed from this new temperature dataset over the 2008–2020 period. A general warming of the troposphere, more important at the poles, was found. In the stratosphere, the paper found that temperatures globally decrease everywhere, except at the South Pole as a result of the ozone layer recovery and a sudden stratospheric warming in 2019. The cooling is more pronounced in the equatorial upper stratosphere.

Zonal temperature trends for the period 2008–2020 computed with the outputs of the ANN. Grey areas correspond to trends that are not statistically significant.

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