Preprints
https://doi.org/10.5194/amt-2024-85
https://doi.org/10.5194/amt-2024-85
09 Jul 2024
 | 09 Jul 2024
Status: this preprint is currently under review for the journal AMT.

Development and Comparison of Empirical Models for All-sky Downward Longwave Radiation Estimation at the Ocean Surface Using Long-term Observations

Jianghai Peng, Bo Jiang, Hui Liang, Shaopeng Li, Jiakun Han, Thomas C. Ingalls, Jie Cheng, Yunjun Yao, Kun Jia, and Xiaotong Zhang

Abstract. The ocean-surface downward longwave radiation (Rl) is one of the most fundamental components of the radiative energy balance, and it has a remarkable influence on air–sea interactions. Because of various shortcomings and limits, a lot of empirical models were established for ocean-surface Rl estimation for practical applications. In this paper, based on comprehensive measurements collected from 65 moored buoys distributed across global seas from 1988 to 2019, a new model for estimating the all-sky ocean-surface Rl at both hourly and daily scales was built. The ocean-surface Rl was formulated as a nonlinear function of the screen-level air temperature, relative humidity, cloud fraction, total column cloud liquid, and ice water. A comprehensive evaluation of this new model relative to eight existing models was conducted under clear-sky and all-sky conditions at daytime/nighttime hourly and daily scales. The validation results showed that the accuracy of the newly constructed model is superior to other models, yielding overall RMSE values of 14.82 and 10.76 W/m2 under clear-sky conditions, and 15.95 and 10.27 W/m2 under all-sky conditions, at hourly and daily scales, respectively. Our analysis indicates that the effects of the total column cloud liquid and ice water on the ocean-surface Rl also need to be considered besides cloud cover. Overall, the newly developed model has strong potential to be widely used.

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Jianghai Peng, Bo Jiang, Hui Liang, Shaopeng Li, Jiakun Han, Thomas C. Ingalls, Jie Cheng, Yunjun Yao, Kun Jia, and Xiaotong Zhang

Status: open (until 20 Aug 2024)

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Jianghai Peng, Bo Jiang, Hui Liang, Shaopeng Li, Jiakun Han, Thomas C. Ingalls, Jie Cheng, Yunjun Yao, Kun Jia, and Xiaotong Zhang
Jianghai Peng, Bo Jiang, Hui Liang, Shaopeng Li, Jiakun Han, Thomas C. Ingalls, Jie Cheng, Yunjun Yao, Kun Jia, and Xiaotong Zhang

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Short summary
Our study introduces a new model that improves predictions of heat interactions at the ocean's surface, using data from 65 buoys. This model, more accurate than previous ones, incorporates effects of cloud cover and atmospheric water, enhancing our understanding of the ocean’s role in climate regulation. This could significantly aid climate research and environmental monitoring.