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首页> 外文期刊>Journal of Climate >Distinct Patterns of Cloud Changes Associated with Decadal Variability and Their Contribution to Observed Cloud Cover Trends
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Distinct Patterns of Cloud Changes Associated with Decadal Variability and Their Contribution to Observed Cloud Cover Trends

机译:与二级大动变异有关的云变化的鲜明模式及其对观察到云覆盖趋势的贡献

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With the goal of understanding the relative roles of anthropogenic and natural factors in driving observed cloud trends, this study investigates cloud changes associated with decadal variability including the Pacific decadal oscillation (PDO) and the Atlantic multidecadal oscillation (AMO). In the preindustrial simulations of CMIP5 global climate models (GCMs), the spatial patterns and the vertical structures of the PDO-related cloud cover changes in the Pacific are consistent among models. Meanwhile, the models show consistent AMO impacts on high cloud cover in the tropical Atlantic, subtropical eastern Pacific, and equatorial central Pacific, and on low cloud cover in the North Atlantic and subtropical northeast Pacific. The cloud cover changes associated with the PDO and the AMO can be understood via the relationships between large-scale meteorological parameters and clouds on interannual time scales. When compared to the satellite records during the period of 1983-2009, the patterns of total and low cloud cover trends associated with decadal variability are significantly correlated with patterns of cloud cover trends in ISCCP observations. On the other hand, the pattern of the estimated greenhouse gas (GHG)-forced trends of total cloud cover differs from that related to decadal variability, and may explain the positive trends in the subtropical southeast Pacific, negative trends in the midlatitudes, and positive trends poleward of 50 degrees N/S. In most models, the magnitude of the estimated decadal variability contribution to the observed cloud cover trends is larger than that contributed by GHG, suggesting the observed cloud cover trends are more closely related to decadal variability than to GHG-induced warming.
机译:凭借了解人为和自然因素在驾驶观测到的云趋势方面的相对作用,本研究调查了与包括太平洋二等振荡(PDO)和大西洋多型振荡(AMO)相关的云变化。在CMIP5全球气候模型(GCMS)的预生产模拟中,空间模式和太平洋的PDO相关云覆盖变化的垂直结构在模型中是一致的。同时,该模型显示了一致的AMO对热带大西洋,亚热带东部太平洋和赤道中央太平洋的高云覆盖,以及北大西洋东北地区的低云覆盖。可以通过在持续时间尺度上的大规模气象参数和云之间的关系来理解与PDO和AMO相关联的云覆盖变化。与1983 - 2009年期间的卫星记录相比,与二等变异性相关的总和低云覆盖趋势的模式与ISCCP观察结果的云覆盖趋势的模式显着相关。另一方面,估计的温室气体(GHG)的全云覆盖趋势的模式不同于与十二次变异性有关的趋势,并且可以解释亚热带东南太平洋的积极趋势,中间阶段的负面趋势,积极趋势向极端为50度N / s。在大多数模型中,估计的云覆盖趋势的估计的分支变异贡献的贡献大于温室气体的贡献,表明观察到的云覆盖趋势与转移变异性更密切相关,而不是GHG诱导的变暖。

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