A simulated observation database to assess the impact of the IASI-NG hyperspectral infrared sounder

Javier Andrey-Andrés (1) , Nadia Fourrié (1) , Vincent Guidard (1) , Raymond Armante (2) , Pascal Brunel (3) , Cyril Crevoisier (2) , Bernard Tournier (4)

1 CNRM - Centre national de recherches météorologiques
2 LMD - Laboratoire de Météorologie Dynamique (UMR 8539)
3 Centre de Météorologie Spatiale
4 NOVELTIS [Sté]

The highly accurate measurements of the hy-perspectral Infrared Atmospheric Sounding Interferometer (IASI) are used in numerical weather prediction (NWP), atmospheric chemistry and climate monitoring. As the second generation of the European Polar System (EPS-SG) is being developed, a new generation of IASI instruments has been designed to fly on board the MetOp-SG constellation: IASI New Generation (IASI-NG). In order to prepare the arrival of this new instrument, and to evaluate its impact on NWP and atmospheric chemistry applications, a set of IASI and IASI-NG simulated data was built and made available to the public to set a common framework for future impact studies. This paper describes the information available in this database and the procedure followed to run the IASI and IASI-NG simulations. These simulated data were evaluated by comparing IASI-NG to IASI observations. The result is also presented here. Additionally, preliminary impact studies of the benefit of IASI-NG compared to IASI on the retrieval of temperature and humidity in a NWP framework are also shown in the present work. With a channel dataset located in the same wave numbers for both instruments, we showed an improvement of the temperature retrievals throughout the atmosphere , with a maximum in the troposphere with IASI-NG and a lower benefit for the tropospheric humidity.

Domaines: Météorologie; Océan, Atmosphère

Javier Andrey-Andrés, Nadia Fourrié, Vincent Guidard, Raymond Armante, Pascal Brunel, et al.. A simulated observation database to assess the impact of the IASI-NG hyperspectral infrared sounder. Atmospheric Measurement Techniques, 2018, 11 (2), pp.803 - 818. ⟨10.5194/amt-11-803-2018⟩. ⟨meteo-01719732⟩