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Time evolution of temperature profiles retrieved from 13 years of IASI data using an artificial neural network

Abstract : The three IASI instruments, launched in 2006, 2012, and 2018, are key instruments to weather forecasting, and most meteorological centers assimilate IASI nadir radiance data into atmospheric models to feed their forecasts. The EUropean organisation for the exploitation of METeorological SATellites (EUMETSAT) recently released a reprocessed homogeneous radiance record for the whole IASI observation period, from which thirteen years (2008-2020) of temperature profiles can be obtained. In this work, atmospheric temperatures at different altitudes are retrieved from IASI radiances measured in the carbon dioxide absorption bands (654-800 cm-1 and 2250-2400 cm-1) by selecting the channels that are the most sensitive to the temperature at different altitudes. We rely on an Artificial Neural Network (ANN) to retrieve atmospheric temperatures from a selected set of IASI radiances. We trained the ANN with IASI radiances as input and the
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Marie Bouillon, Sarah Safieddine, Simon Whitburn, Lieven Clarisse, Filipe Aires, et al.. Time evolution of temperature profiles retrieved from 13 years of IASI data using an artificial neural network. Atmospheric Measurement Techniques Discussions, Copernicus Publications / European Geosciences Union 2022, pp.(Under Review). ⟨10.5194/amt-2021-302⟩. ⟨insu-03407369v1⟩

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