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Fog and rain in the Amazon

机译:亚马逊的雾和雨

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摘要

The diurnal and seasonal water cycles in the Amazon remain poorly simulated in general circulation models, exhibiting peak evapotranspiration in the wrong season and rain too early in the day. We show that those biases are not present in cloud-resolving simulations with parameterized large-scale circulation. The difference is attributed to the representation of the morning fog layer, and to more accurate characterization of convection and its coupling with large-scale circulation. The morning fog layer, present in the wet season but absent in the dry season, dramatically increases cloud albedo, which reduces evapotranspiration through its modulation of the surface energy budget. These results highlight the importance of the coupling between the energy and hydrological cycles and the key role of cloud albedo feedback for climates over tropical continents.
机译:在一般的循环模型中,亚马逊河的昼夜和季节性水循环仍然模拟得很差,在错误的季节表现出最高的蒸散量,而在当天过早降雨。我们表明,在参数化大规模环流的云解析模拟中不存在那些偏差。差异归因于晨雾层的表示,以及对流及其与大尺度环流的耦合的更准确表征。晨雾层存在于雨季,而干旱季节则不存在,极大地增加了云的反照率,这通过调节地表能量收支来减少蒸散量。这些结果突出了能量和水文循环之间的耦合的重要性,以及云反射率反馈对热带大陆气候的关键作用。

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