Band‐by‐Band Contributions to the Longwave Cloud Radiative Feedbacks
Band‐by‐Band Contributions to the Longwave Cloud Radiative Feedbacks
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DOI：
10.1029/2019gl083466
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发表时间：
2018-12
影响因子：
5.2
通讯作者：
Xianglei Huang;Xiuhong Chen;Q. Yue
中科院分区：
文献类型：
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作者：
Xianglei Huang;Xiuhong Chen;Q. Yue
云辐射反馈是我们预测未来气候变化的核心。它可以使用云辐射核(CRK)方法或平差法进行估计。本研究首次探讨了各波段对长波云辐射反馈(CRF)的贡献。分析了三种变暖情景的模拟，包括+2K海面温度、2×CO2和4×CO2实验。从CRK和平差方法得到的LW宽带CRF彼此一致，但它们在远红外和窗口波段的相对贡献上存在分歧。CRK方法提供了针对不同变暖情景的LW CRF的一致的逐带分解。2003-2013年模拟和观测的短期宽带CRF与长期CRF相似，但它们的逐带分解不同，这可能与各自模拟和观测中的云量变化有进一步的联系。
Cloud radiative feedback is central to our projection of future climate change. It can be estimated using the cloud radiative kernel (CRK) method or adjustment method. This study, for the first time, examines the contributions of each spectral band to the longwave (LW) cloud radiative feedbacks (CRFs). Simulations of three warming scenarios are analyzed, including +2 K sea surface temperature, 2 × CO2, and 4 × CO2 experiments. While the LW broadband CRFs derived from the CRK and adjustment methods agree with each other, they disagree on the relative contributions from the far‐infrared and window bands. The CRK method provides a consistent band‐by‐band decomposition of LW CRF for different warming scenarios. The simulated and observed short‐term broadband CRFs for the 2003–2013 period are similar to the long‐term counterparts, but their band‐by‐band decompositions are different, which can be further related to the cloud fraction changes in respective simulations and observation.