Validation of the CERES Clear-Sky Surface Longwave Downward Radiation Products Under Air Temperature Inversion

This study assessed the performance of the Clouds and the Earth’s Radiant Energy System (CERES) surface longwave downward radiation (SLDR) products under the atmospheric temperature inversion (ATI) conditions for the first time. Three years of ground-measured SLDRs from 409 globally distributed stations across four flux networks were employed, and the collocated MODIS atmospheric profile product was used to identify the ATI profiles at each flux station. All three SLDR estimate algorithms (Models A, B, and C) show a pronounced accuracy decline under ATI conditions, regardless of region (polar or non-polar) or time of day (daytime or nighttime). Under ATI conditions, the Bias/RMSE increases by approximately 10.0/5.0 W/m2 for Models A and B, 5.0/1.0 W/m2 for Model C. Sensitivity analysis reveals that the concurrent atmospheric moisture inversion (AMI) compounds this degradation; both the Bias and RMSE increase with the AMI intensity. These results underscore the need to refine CERES SLDR algorithms in the future.

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Publication Details

Journal
Remote Sensing
Published
2025-12-12
DOI
https://doi.org/10.3390/rs17244012
Primary Topic
Atmospheric aerosols and clouds
Type
article
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article

Validation of the CERES Clear-Sky Surface Longwave Downward Radiation Products Under Air Temperature Inversion

Jie Cheng, Zeng Qi, Hao Sun, Wanchun Zhang
Remote Sensing
Atmospheric aerosols and clouds
article

Validation of the CERES Clear-Sky Surface Longwave Downward Radiation Products Under Air Temperature Inversion

Jie Cheng, Zeng Qi, Hao Sun, Wanchun Zhang
article en

Abstract

This study assessed the performance of the Clouds and the Earth’s Radiant Energy System (CERES) surface longwave downward radiation (SLDR) products under the atmospheric temperature inversion (ATI) conditions for the first time. Three years of ground-measured SLDRs from 409 globally distributed stations across four flux networks were employed, and the collocated MODIS atmospheric profile product was used to identify the ATI profiles at each flux station. All three SLDR estimate algorithms (Models A, B, and C) show a pronounced accuracy decline under ATI conditions, regardless of region (polar or non-polar) or time of day (daytime or nighttime). Under ATI conditions, the Bias/RMSE increases by approximately 10.0/5.0 W/m2 for Models A and B, 5.0/1.0 W/m2 for Model C. Sensitivity analysis reveals that the concurrent atmospheric moisture inversion (AMI) compounds this degradation; both the Bias and RMSE increase with the AMI intensity. These results underscore the need to refine CERES SLDR algorithms in the future.

Remote SensingVol. 17(24)
China Meteorological Administration (CN), Beijing Normal University (CN), State Key Laboratory of Remote Sensing Science (CN)
Openalex Percentile: Top 63%
Atmospheric aerosols and clouds
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Validation of the CERES Clear-Sky Surface Longwave Downward Radiation Products Under Air Temperature Inversion — Jie Cheng, Zeng Qi, et al. · Remote Sensing (2025) | TGRS Research Map | TGRS