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Warming trends in Asia amplified by brown cloud solar absorption

机译:亚洲气候变暖趋势被棕云吸收的太阳光放大

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Atmospheric brown clouds are mostly the result of biomass burning and fossil fuel consumption. They consist of a mixture of light-absorbing and light-scattering aerosols and therefore contribute to atmospheric solar heating and surface cooling. The sum of the two climate forcing terms—the net aerosol forcing effect— is thought to be negative and may have masked as much as half of the global warming attributed to the recent rapid rise in greenhouse gases. There is, however, at least a fourfold uncertainty in the aerosol forcing effect. Atmospheric solar heating is a significant source of the uncertainty, because current estimates are largely derived from model studies. Here we use three lightweight unmanned aerial vehicles that were vertically stacked between 0.5 and 3 km over the polluted Indian Ocean. These unmanned aerial vehicles deployed miniaturized instruments measuring aerosol concentrations, soot amount and solar fluxes. During 18 flight missions the three unmanned aerial vehicles were flown with a horizontal separation of tens of metres or less and a temporal separation of less than ten seconds, which made it possible to measure the atmospheric solar heating rates directly. We found that atmospheric brown clouds enhanced lower atmospheric solar heating by about 50 per cent. Our general circulation model simulations, which take into account the recently observed widespread occurrence of vertically extended atmospheric brown clouds over the Indian Ocean and Asia, suggest that atmospheric brown clouds contribute as much as the recent increase in anthropogenic greenhouse gases to regional lower atmospheric warming trends. We propose that the combined warming trend of 0.25 K per decade may be sufficient to account for the observed retreat of the Himalayan glaciers.
机译:大气棕云主要是生物质燃烧和化石燃料消耗的结果。它们由吸收光和散射光的气溶胶的混合物组成,因此有助于大气中的太阳加热和表面冷却。这两个气候强迫项的总和(净气溶胶强迫效应)被认为是负的,并且由于近来温室气体的迅速增加,可能掩盖了全球变暖的一半。然而,气雾强迫作用至少有四倍的不确定性。大气太阳加热是不确定性的重要来源,因为目前的估算主要来自模型研究。在这里,我们使用三辆轻型无人飞行器,它们在污染的印度洋上垂直堆叠0.5至3公里。这些无人机配备了微型仪器,用于测量气溶胶浓度,烟尘量和太阳通量。在进行18次飞行任务期间,三架无人驾驶飞机的水平间隔为几十米或更短,时间间隔小于十秒,这使得可以直接测量大气层太阳能加热率。我们发现,大气层的棕色云层将较低的大气层太阳采暖提高了约50%。我们的一般循环模型模拟考虑了最近在印度洋和亚洲广泛观测到的垂直扩展的大气棕云的广泛分布,表明大气棕云的贡献与近期人为温室气体增加对区域较低的大气变暖趋势的贡献相同。我们建议,每十年0.25 K的综合变暖趋势可能足以解释所观察到的喜马拉雅冰川的退缩。

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