Jul 2026· Journal of Geophysical Research - Atmospheres· Vol 131· 0 citations· 114 references
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 O2 ${\mathrm{O}}_{2}$ 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.
High clouds play a substantial role in modulating the Earth's top‐of‐atmosphere radiative energy budget. Models project that changes in high‐cloud altitude and area in response to warming will have a net warming effect within the tropics. Yet, to our knowledge, a robust global observational constraint of a short‐term c...
J. Pilewskie, G. Cesana, A. Arouf et al.· Journal of Geophysical Resea...· 0 citations
Longwave cloud radiative effects significantly influence variability in global and regional Earth systems. However, there have been very few, if any, measurements of the far‐infrared (FIR) radiation over the polar regions, where about half of the outgoing longwave radiation is in the FIR spectrum. This motivated the Po...
T. Ren, Ping Yang, Xianglei Huang· Journal of Geophysical Resea...· 0 citations
Knowledge of the ocean temperature is vital to the accurate use of satellite radiances in weather forecasting and it helps improve the quality of forecasts for the ocean and atmosphere. A recent upgrade to the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS) has implement...
T. Scanlon, A. Geer, P. Browne et al.· Quarterly Journal of the Roy...· 0 citations
Low‐level clouds over the Southern Ocean (SO) exert a strong influence on surface radiation, yet their representation in reanalyses and climate models remains uncertain. We evaluated cloud properties and surface radiative fluxes from ERA5, MERRA‐2, and the CAM‐ATRAS model using observations obtained over the SO by Japa...
Kazutoshi Sato, J. Inoue, H. Matsui· Geophysical Research Letters· 0 citations
The Earth's energy budget is fundamental to climate, and its accurate simulations in global climate models (GCMs) are essential for climate projections. While studies have validated energy budget at the top of the atmosphere (TOA) and surface, the layer‐wise atmospheric energy budget remains largely unexplored because...
Han Huang, Yi Huang· Geophysical Research Letters· 0 citations
Numerical weather simulations and forecasts are highly sensitive to environmental conditions. This is especially true in Taiwan, an ocean-surrounded island, during its transition season. Atmospheric temperature and moisture profiles retrieved from spaceborne sounders provide essential environmental information in regio...