Impacts of precipitation modeling on cloud feedback in MIROC6
Impacts of precipitation modeling on cloud feedback in MIROC6
复制标题
MIROC6 中降水模拟对云反馈的影响
DOI：
10.1029/2021gl096523
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发表时间：
2022
影响因子：
5.2
通讯作者：
and K. Suzuki
中科院分区：
文献类型：
--
作者：
Hirota;N.;T. Michibata;H. Shiogama;T. Ogura;and K. Suzuki
云反馈的不确定性在全球气候模型中仍然非常重要，破坏了气候预测的可信度。本研究使用跨学科气候研究模式第6版（MIROC6）检验了降水预报处理对云反馈的影响。在预报降水计划，降水比重计明确预测，允许更复杂的表示其微物理和辐射效应比传统的诊断方案。MIROC6预报方案的引入增加了与气候变暖时云的高度升高相关的云反馈。此外，平衡气候敏感性增加约20%。由于相关的高层云在预报方案中得到了更好的代表，因此具有更大高度反馈的气候预测被认为更可信。对耦合模式相互比较项目模式的其他分析表明，如果它们对高层云的低估得到缓解，它们的高度云反馈会更高。
Uncertainties in cloud feedback remain stubbornly significant in global climate models, disrupting the credibility of climate projections. This study examined the impacts of the prognostic treatment of precipitation on cloud feedback using the Model for Interdisciplinary Research on Climate version 6 (MIROC6). In a prognostic precipitation scheme, precipitating hydrometers are explicitly predicted, allowing a more sophisticated representation of their microphysical and radiative effects than that of traditional diagnostic schemes. The introduction of the prognostic scheme in MIROC6 increases cloud feedback associated with the elevated altitude of clouds in warming climates. Moreover, the equilibrium climate sensitivity increases by about 20%. Because associated high‐level clouds are better represented in the prognostic scheme, climate projections with larger altitude feedback are considered more credible. Additional analyses of Coupled Model Intercomparison Project models suggests that their altitude cloud feedback would be higher if their underestimation of high‐level clouds were mitigated.