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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >What Controls Springtime Fine Dust Variability in the Western United States? Investigating the 2002-2015 Increase in Fine Dust in the U.S. Southwest
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What Controls Springtime Fine Dust Variability in the Western United States? Investigating the 2002-2015 Increase in Fine Dust in the U.S. Southwest

机译:什么控制美国西部的春天细粉变异性? 调查2002 - 2015年美国西南部细粉尘的增加

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摘要

We use empirical orthogonal function (EOF) analysis to investigate the role of meteorology in controlling the interannual variability of fine dust concentrations in the western United States during 2002-2015 March-May. We then develop a prediction model to explore the causes of an observed increase in fine dust concentrations during March in the Southwest. For each spring month, 54-61% of the total variance in fine dust anomalies can be explained by the first two leading EOF modes, which consist of a coherent pattern of covariability across the West and a dipole northwest-southwest pattern. We identify the key meteorological controlling factors to be regional precipitation, temperature, and soil moisture, which are in turn mostly driven by large-scale changes in sea surface temperature and/or atmospheric circulation patterns, including the El Ni?o-Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO). In addition, fluctuations in the trans-Pacific transport of Asian dust likely contribute to fine dust variability in March and April. We find that March fine dust concentrations have increased from 2002 to 2015 in the Southwest (0.06 ± 0.04 μg m~(-3) a~(-1), p < 0.05). Multiple linear regression analysis suggests that these increases are associated with the following: (1) regionally drier and warmer conditions driven by constructive interference between ENSO and PDO, (2) soil moisture reductions in areas spanning the North American deserts, and (3) enhanced trans-Pacific transport. Our results provide an observational basis for improving dust emission schemes and for assessing future dust activity under climate change.
机译:我们使用经验正交功能(EOF)分析来研究气象学在3月 - 5月 - 5月期间美国西部细粉浓度的持续变化中的作用。然后,我们开发一种预测模型,探讨西南三月期间观察到的细粉浓度增加的原因。对于每个春季,54-61%的精细粉尘异常的总差异可以通过前两种领先的EOF模式来解释,这些模式由西部的一致性的可协调性和偶极性的西北模式组成。我们确定区域降水,温度和土壤水分的关键气象控制因素,这又通过海面温度和/或大气循环模式的大规模变化,包括EL Ni?O-Southern振荡( Enso)和太平洋横向振荡(PDO)。此外,亚洲粉尘的跨太平洋运输的波动可能在3月和4月促进了微尘变异。我们发现3月份的细尘浓度从2002年到2015年增加了西南部(0.06±0.04μgm〜(3)A〜(-1),P <0.05)。多元线性回归分析表明,这些增加与以下相关:(1)由ENSO和PDO之间的建设性干扰驱动的区域干燥器和较温暖的条件,(2)跨越北美沙漠地区的土壤水分减少,(3)增强跨太平洋运输。我们的结果为改善粉尘排放方案提供了一种观察到的基础,并在气候变化下评估未来的粉尘活动。

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