Observation-Based Longwave Cloud Radiative Kernels Derived from the A-Train
Observation-Based Longwave Cloud Radiative Kernels Derived from the A-Train
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DOI：
10.1175/jcli-d-15-0257.1
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发表时间：
2016-03
影响因子：
4.9
通讯作者：
Q. Yue;B. Kahn;E. Fetzer;M. Schreier;S. Wong;Xiuhong Chen;Xianglei Huang
中科院分区：
文献类型：
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作者：
Q. Yue;B. Kahn;E. Fetzer;M. Schreier;S. Wong;Xiuhong Chen;Xianglei Huang
摘要本文提出了一种基于云辐射强迫（CRF）和云分数（CF）的基于宽带和光谱长波观测的云辐射核（CRKs）的新方法，该方法利用多传感器a - train观测数据和像元尺度的MERRA数据，对不同云类型进行计算。本文给出了基于观测的crk和基于模型的基于Fu-Liou辐射传输模型的crk。对于光学厚云，观测和模式推导的crk之间有很好的一致性。对于光学薄云，基于观测的crk在TOA对云覆盖变化的辐射灵敏度高于模式衍生的crk。研究了观测到的crk可能存在的四种不确定性：1)中分辨率成像光谱仪云特性的不确定性，2)晴空变化对CRF的贡献，3)观测中晴空阈值的假设，以及4)单层云的假设。基于观测的CRKs…
AbstractThe authors present a new method to derive both the broadband and spectral longwave observation-based cloud radiative kernels (CRKs) using cloud radiative forcing (CRF) and cloud fraction (CF) for different cloud types using multisensor A-Train observations and MERRA data collocated on the pixel scale. Both observation-based CRKs and model-based CRKs derived from the Fu–Liou radiative transfer model are shown. Good agreement between observation- and model-derived CRKs is found for optically thick clouds. For optically thin clouds, the observation-based CRKs show a larger radiative sensitivity at TOA to cloud-cover change than model-derived CRKs. Four types of possible uncertainties in the observed CRKs are investigated: 1) uncertainties in Moderate Resolution Imaging Spectroradiometer cloud properties, 2) the contributions of clear-sky changes to the CRF, 3) the assumptions regarding clear-sky thresholds in the observations, and 4) the assumption of a single-layer cloud. The observation-based CRKs...