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Comparison of different Aethalometer correction schemes and a reference multi-wavelength absorption technique for ambient aerosol data

机译:比较不同的湿度计校正方案和参考多波长吸收技术获得周围气溶胶数据

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pstrongAbstract./strong Deriving absorption coefficients from Aethalometer attenuation data requires different corrections to compensate for artifacts related to filter-loading effects, scattering by filter fibers, and scattering by aerosol particles. In this study, two different correction schemes were applied to seven-wavelength Aethalometer data, using multi-angle absorption photometer (MAAP) data as a reference absorption measurement at 637span class="thinspace"/spannm. The compensation algorithms were compared to five-wavelength offline absorption measurements obtained with a multi-wavelength absorbance analyzer (MWAA), which serves as a multiple-wavelength reference measurement. The online measurements took place in the Amazon rainforest, from the wet-to-dry transition season to the dry season (Junea??September??2014). The mean absorption coefficient (at 637span class="thinspace"/spannm) during this period was 1.8span class="thinspace"/span?±span class="thinspace"/span2.1span class="thinspace"/spanMmsupa??1/sup, with a maximum of 15.9span class="thinspace"/spanMmsupa??1/sup. Under these conditions, the filter-loading compensation was negligible. One of the correction schemes was found to artificially increase the short-wavelength absorption coefficients. It was found that accounting for the aerosol optical properties in the scattering compensation significantly affects the absorption ??ngstr??m exponent (i?¥/isubABS/sub) retrievals. Proper Aethalometer data compensation schemes are crucial to retrieve the correct i?¥/isubABS/sub, which is commonly implemented in brown carbon contribution calculations. Additionally, we found that the wavelength dependence of uncompensated Aethalometer attenuation data significantly correlates with the i?¥/isubABS/sub retrieved from offline MWAA measurements./p.
机译:> >摘要。从湿度计衰减数据中得出吸收系数需要进行不同的校正,以补偿与过滤器负载效应,过滤器纤维的散射以及气溶胶颗粒的散射有关的伪影。在这项研究中,使用多角度吸收光度计(MAAP)数据作为637 class =“ thinspace”> nm处的参考吸收测量值,将两种不同的校正方案应用于七波长湿度计。将补偿算法与使用多波长吸光度分析仪(MWAA)获得的五波长离线吸收测量值进行比较,该分析器用作多波长参考测量。在线测量是在亚马逊雨林中进行的,从湿到干的过渡季节到干旱的季节(几内亚-2014年9月-2014年)。在此期间的平均吸收系数(在637 class =“ thinspace”> nm)为1.8 class =“ thinspace”> ?± class =“ thinspace”> 2.1 class =“ thinspace”> Mm a ?? 1 ,最大为15.9 class =“ thinspace”> Mm a ?? 1 。在这些条件下,滤波器的负载补偿可以忽略不计。发现校正方案之一是人为地增加短波长吸收系数。发现在散射补偿中考虑气溶胶光学特性会显着影响吸收ngstr ?? m指数(?¥ ABS )的获取。正确的湿度计数据补偿方案对于检索正确的?¥ ABS 至关重要,该方法通常在棕碳贡献计算中实现。此外,我们发现未补偿的湿度计衰减数据的波长依赖性与从离线MWAA测量中获取的?¥ ABS 显着相关。

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