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Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers

机译:探索基于岛屿的太阳光度计北大西洋模拟气溶胶源和运输的限制

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Atmospheric aerosol over the North Atlantic Ocean impacts regional clouds and climate. In this work, we use a set of sun photometer observations of aerosol optical depth (AOD) located on the Graciosa and Cape Verde islands, along with the GEOS‐Chem chemical transport model to investigate the sources of these aerosol and their transport over the North Atlantic Ocean. At both locations, the largest simulated contributor to aerosol extinction is the local source of sea‐salt aerosol. In addition to this large source, we find that signatures consistent with long‐range transport of anthropogenic, biomass burning, and dust emissions are apparent throughout the year at both locations. Model simulations suggest that this signal of long‐range transport in AOD is more apparent at higher elevation locations; the influence of anthropogenic and biomass burning aerosol extinction is particularly pronounced at the height of Pico Mountain, near the Graciosa Island site. Using a machine learning approach, we further show that simulated observations at these three sites (near Graciosa, Pico Mountain, and Cape Verde) can be used to predict the simulated background aerosol imported into cities on the European mainland, particularly during the local winter months, highlighting the utility of background AOD monitoring for understanding downwind air quality.
机译:北大西洋的大气气溶胶会影响区域云和气候。在这项工作中,我们使用一套SiloSol光学深度(AOD)的太阳光度计观察,位于Graciosa和Cape Verde Islands,以及Geos-Chem化学传输模型,以研究这些气溶胶的来源及其在北方的运输大西洋。在两个地方,最大的气溶胶灭绝的模拟贡献者是海盐气溶胶的局部来源。除了这一大来源之外,我们还发现与人类学,生物质燃烧和灰尘排放的远程运输一致的签名在两年内都很明显。模型仿真表明,在较高的高度位置,AOD中远程运输信号的信号更加明显;在Graciosa岛地区附近的Pico山的高度,人为和生物质燃烧气溶胶灭绝的影响特别明显。使用机器学习方法,我们进一步表明,这三个地点(靠近Graciosa,Pico Mountain和Cape Verde附近的模拟观测可用于预测模拟的背景气溶胶进口到欧洲大陆的城市,特别是在当地冬季,突出了背景AOD监测的效用,以了解延线空气质量。

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