Evaluation of the Infrared Spectral Signature of ARPEGE‐Climat 6.3 in Clear‐Sky Conditions Using IASI Observations

Abstract The Earth's top‐of‐atmosphere (TOA) radiative budget is a key feature of the Earth's climate, and broadband TOA observations are widely used to evaluate climate models. However, recent studies have demonstrated that a good match between simulated and observed broadband fluxes can result from error compensation in the spectral dimension. Hence, assessing the spectrally resolved radiative budget is promising. Here, we use 7 years of IASI hyperspectral infrared observations to evaluate ARPEGE‐Climat, the atmospheric component of the CNRM‐CM6 climate model. To this end, synthetic nadir‐looking IASI spectra are computed from the atmospheric profiles and surface properties of an ARPEGE‐Climat amip simulation, using the radiative transfer code RTTOV, and compared to IASI observations for clear‐sky conditions. Over the ocean, ARPEGE‐Climat exhibits a cold brightness temperature bias (∼1 K) in the atmospheric window, attributed to inappropriate sea surface emissivity and sea ice temperature. A cold bias is also found in the water vapor absorption band due to a wet and cold bias in the troposphere. The cold bias is stronger in the C band because the cold bias is more pronounced in the stratosphere. Over land, the cold biases are stronger (∼5 K in the atmospheric window), and mostly due to issues in the surface emissivity and skin temperature at high latitudes and above elevated terrain. The mean annual cycle in selected IASI channels is well captured by ARPEGE‐Climat, although slightly underestimated in amplitude. This study demonstrates the potential of hyperspectral infrared observations for objective climate model evaluation.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2026-07-23
DOI
https://doi.org/10.1029/2025jd045730
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the Infrared Spectral Signature of ARPEGE‐Climat 6.3 in Clear‐Sky Conditions Using IASI Observations

Romain Roehrig, Quentin Libois, Stefano Della Fera, L. Leonarski
Journal of Geophysical Research Atmospheres
Atmospheric Ozone and Climate
article

Evaluation of the Infrared Spectral Signature of ARPEGE‐Climat 6.3 in Clear‐Sky Conditions Using IASI Observations

Romain Roehrig, Quentin Libois, Stefano Della Fera, L. Leonarski
article en

Abstract

Abstract The Earth's top‐of‐atmosphere (TOA) radiative budget is a key feature of the Earth's climate, and broadband TOA observations are widely used to evaluate climate models. However, recent studies have demonstrated that a good match between simulated and observed broadband fluxes can result from error compensation in the spectral dimension. Hence, assessing the spectrally resolved radiative budget is promising. Here, we use 7 years of IASI hyperspectral infrared observations to evaluate ARPEGE‐Climat, the atmospheric component of the CNRM‐CM6 climate model. To this end, synthetic nadir‐looking IASI spectra are computed from the atmospheric profiles and surface properties of an ARPEGE‐Climat amip simulation, using the radiative transfer code RTTOV, and compared to IASI observations for clear‐sky conditions. Over the ocean, ARPEGE‐Climat exhibits a cold brightness temperature bias (∼1 K) in the atmospheric window, attributed to inappropriate sea surface emissivity and sea ice temperature. A cold bias is also found in the water vapor absorption band due to a wet and cold bias in the troposphere. The cold bias is stronger in the C band because the cold bias is more pronounced in the stratosphere. Over land, the cold biases are stronger (∼5 K in the atmospheric window), and mostly due to issues in the surface emissivity and skin temperature at high latitudes and above elevated terrain. The mean annual cycle in selected IASI channels is well captured by ARPEGE‐Climat, although slightly underestimated in amplitude. This study demonstrates the potential of hyperspectral infrared observations for objective climate model evaluation.

Journal of Geophysical Research AtmospheresVol. 131(14)
Centre National de la Recherche Scientifique (FR), Nello Carrara Institute of Applied Physics (IT), Météo-France (FR)
Centre National d’Etudes Spatiales
Climate action
Openalex Percentile: Top 12%
Atmospheric Ozone and Climate
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.