Evaluation of clear-sky surface downwelling shortwave fluxes computed by three atmospheric radiative transfer models

IF 2.3 3区 物理与天体物理 Q2 OPTICS Journal of Quantitative Spectroscopy & Radiative Transfer Pub Date : 2024-08-22 DOI:10.1016/j.jqsrt.2024.109164
Jordann Brendecke , Xiquan Dong , Baike Xi , Xiang Zhong , Jiangnan Li , Howard W. Barker , Peter Pilewskie
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Abstract

In this study the clear-sky total, direct, and diffuse shortwave (SW) fluxes at the surface, have been calculated by three radiation transfer models (RTMs) – MODTRAN6.0 (M6.0), Canadian Centre for Climate Modelling and Analysis (CCCma), and Langley-modified Fu-Liou (NASA CERES). These calculations have been evaluated by surface measurements collected from seven sites that represent different climatological regimes with various surface scene types including ocean, grassland/continental, desert, and snow/sea ice. For pristine atmospheric conditions, SW fluxes predicted by CCCma and M6.0 shows little variation, which lays a baseline for further analysis. Note that computing time required by CCCma is ∼1000 times smaller than M6.0. Based on all samples collected from seven sites, mean differences of total, direct, and diffuse fluxes between surface measurements and CCCma / M6.0 / Fu-Liou are [5.3 / 2.4 / 0.9], [-2.2 / -5.1 / -13.7], and [7.5 / 7.5 / 14.6] W m-2, respectively. Histograms of differences between the three RTM calculations and surface measurements show that CCCma computed direct and diffuse fluxes have the smallest biases with standard deviations similar to those for M6.0, while Fu-Liou values have the largest biases and standard deviations. While Fu-Liou outperforms for total flux, especially for desert conditions, it is hampered by large biases for direct and diffuse across all scene types. The three RTMs are consistent with showing the least error for total flux and the largest in diffuse based on bias, correlation, and root mean square error.

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对三种大气辐射传输模式计算的晴空表面下沉短波通量的评估
在这项研究中,三种辐射传输模式(RTM)--MODTRAN6.0(M6.0)、加拿大气候建模与分析中心(CCCma)和兰利改进型 Fu-Liou(NASA CERES)--计算了晴空总通量、直接通量和地表漫射短波(SW)通量。这些计算方法已通过从七个地点收集的地表测量数据进行了评估,这些地点代表了不同的气候系统和不同的地表场景类型,包括海洋、草原/大陆、沙漠和雪/海冰。在原始大气条件下,CCCma 和 M6.0 预测的西南通量变化不大,这为进一步分析奠定了基础。需要注意的是,CCCma 所需的计算时间是 M6.0 的 1000 倍。根据从七个站点采集的所有样本,地表测量值与 CCCma / M6.0 / Fu-Liou 之间的总通量、直接通量和漫射通量的平均差异分别为 [5.3 / 2.4 / 0.9]、[-2.2 / -5.1 / -13.7]和 [7.5 / 7.5 / 14.6] W m。三种 RTM 计算值与地面测量值的差异直方图显示,CCCma 计算的直接通量和漫射通量偏差最小,标准偏差与 M6.0 类似,而 Fu-Liou 计算值的偏差和标准偏差最大。虽然 Fu-Liou 的总通量,尤其是沙漠条件下的总通量表现更好,但它在所有场景类型中的直接通量和漫射通量偏差都很大。根据偏差、相关性和均方根误差,三种 RTM 一致显示总通量误差最小,漫反射误差最大。
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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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