On the use of Infrared Atmospheric Sounding Interferometer (IASI) spectrally resolved radiances to test the EC-Earth climate model (v3.3.3) in clear-sky conditions

Year: 2023

Authors: Della Fera S., Fabiano F., Raspollini P., Ridolfi M., Cortesi U., Barbara F., von Hardenberg J.

Autors Affiliation: Univ Bologna, Dept Phys & Astron, Bologna, Italy; Natl Res Council IFAC CNR, Inst Appl Phys, Sesto Fiorentino, FI, Italy; Natl Res Council ISAC CNR Bologna, Inst Atmospher Sci & Climate, Bologna, Italy; Natl Res Council INO CNR, Natl Inst Opt, Sesto Fiorentino, FI, Italy; Politecn Torino, Dept Environm Land & Infrastructure Engn, Turin, Italy; Natl Res Council ISAC CNR, Inst Atmospher Sci & Climate, Turin, Italy.

Abstract: The long-term comparison between simulated and observed spectrally resolved outgoing longwave radiation (OLR) can represent a stringent test for the direct verification and improvement of general circulation models (GCMs), which are regularly tuned by adjusting parameters related to subgrid processes not explicitly represented in the model to constrain the integrated OLR energy fluxes to observed values. However, a good agreement between simulated and observed integrated OLR fluxes may be obtained from the cancellation of opposite-in-sign systematic errors localized in specific spectral ranges.Since the mid-2000s, stable hyperspectral observations of the mid-infrared region (667 to 2750 cm(-1)) of the Earth emission spectrum have been provided by different sensors (e.g. AIRS, IASI and CrIS). Furthermore, the FORUM (Far-infrared Outgoing Radiation Understanding and Monitoring) mission, selected to be the ninth ESA Earth Explorer, will measure, starting from 2027, the terrestrial radiation emitted to space at the top of the atmosphere (TOA) from 100 to 1600 cm(-1), filling the observational gap in the far-infrared (FIR) region, from 100 to 667 cm(-1).In this work, in anticipation of FORUM measurements, we compare Infrared Atmospheric Sounding Interferometer (IASI) Metop-A observations to radiances simulated on the basis of the atmospheric fields predicted by the EC-Earth Global Climate Model (version 3.3.3) in clear-sky conditions. To simulate spectra based on the atmospheric and surface state provided by the climate model, the radiative transfer model sigma-IASI has been integrated in the Cloud Feedback Model Intercomparison Project (COSP) package. Therefore, online simulations, provided by the EC-Earth model equipped with the new COSP-sigma-IASI module, have been performed in clear-sky conditions with prescribed sea surface temperature and sea ice concentration, every 6 h, over a time frame consistent with the availability of IASI data.Systematic comparisons between observed and simulated brightness temperature (BT) have been performed in 10 cm(-1) spectral intervals, on a global scale over the ocean, with a specific focus on the latitudinal belt between 30 degrees S and 30 degrees N.The analysis has shown a warm BT bias of about 3.5 K in the core of the CO2 absorption band and a cold BT bias of approximately 1 K in the wing of the CO2 band, due to a positive temperature bias in the stratosphere and a negative temperature bias in the middle troposphere of the climate model, respectively. Finally, considering a warm BT bias in the rotational-vibrational water vapour band, we have highlighted a dry bias of the water vapour concentration in the upper troposphere of the model.

Journal/Review: GEOSCIENTIFIC MODEL DEVELOPMENT

Volume: 16 (4)      Pages from: 1379  to: 1394

More Information: The authors acknowledge CINECA, for proving computational resources through the Italian SuperComputing Resource Allocation (ISCRA; projects ECECOSP and ECEIASI), and EUMETSAT for making available the huge amount of L1c IASI data through the European Weather Cloud service (EWC). The s-IASI RTM was made available by its authors in the framework of the FORUM-scienza (FORUM science) project, funded by the Italian Space Agency in the 2019-2022 time frame.
KeyWords: Greenhouse-gas Concentrations; Water-vapor; Impact; Sensitivity
DOI: 10.5194/gmd-16-1379-2023

ImpactFactor: 4.000

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