Development of a multiphase chemical mechanism to improve secondary organic aerosol formation in CAABA/MECCA (version 4.7.0)

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Geoscientific Model Development Pub Date : 2024-05-24 DOI:10.5194/gmd-17-4311-2024
Felix Wieser, Rolf Sander, C. Cho, H. Fuchs, Torsten Hohaus, A. Novelli, R. Tillmann, D. Taraborrelli
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Abstract

Abstract. During the last few decades, the impact of multiphase chemistry on secondary organic aerosols (SOAs) has been demonstrated to be the key to explaining laboratory experiments and field measurements. However, global atmospheric models still show large biases when simulating atmospheric observations of organic aerosols (OAs). Major reasons for the model errors are the use of simplified chemistry schemes of the gas-phase oxidation of vapours and the parameterization of heterogeneous surface reactions. The photochemical oxidation of anthropogenic and biogenic volatile organic compounds (VOCs) leads to products that either produce new SOA or are taken up by existing aqueous media like cloud droplets and deliquescent aerosols. After partitioning, aqueous-phase processing results in polyols, organosulfates, and other products with a high molar mass and oxygen content. In this work, we introduce the formation of new low-volatility organic compounds (LVOCs) to the multiphase chemistry box model CAABA/MECCA. Most notable are the additions of the SOA precursors, limonene and n-alkanes (5 to 8 C atoms), and a semi-explicit chemical mechanism for the formation of LVOCs from isoprene oxidation in the gas and aqueous phases. Moreover, Henry's law solubility constants and their temperature dependences are estimated for the partitioning of organic molecules to the aqueous phase. Box model simulations indicate that the new chemical scheme predicts the enhanced formation of LVOCs, which are known for being precursor species to SOAs. As expected, the model predicts that LVOCs are positively correlated to temperature but negatively correlated to NOx levels. However, the aqueous-phase processing of isoprene epoxydiols (IEPOX) displays a more complex dependence on these two key variables. Semi-quantitative comparison with observations from the SOAS campaign suggests that the model may overestimate methylbutane-1,2,3,4-tetrol (MeBuTETROL) from IEPOX. Further application of the mechanism in the modelling of two chamber experiments, one in which limonene is consumed by ozone and one in which isoprene is consumed by NO3 shows a sufficient agreement with experimental results within model limitations. The extensions in CAABA/MECCA are transferred to the 3D atmospheric model MESSy for a comprehensive evaluation of the impact of aqueous- and/or aerosol-phase chemistry on SOA at a global scale in a follow-up study.
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开发多相化学机制,改善 CAABA/MECCA 中二次有机气溶胶的形成(4.7.0 版)
摘要在过去几十年中,多相化学对二次有机气溶胶(SOAs)的影响已被证明是解释实验室实验和实地测量的关键。然而,全球大气模型在模拟大气中的有机气溶胶(OAs)观测结果时仍存在较大偏差。造成模型误差的主要原因是使用了简化的气相蒸汽氧化化学方案和异质表面反应参数化。人为和生物挥发性有机化合物(VOC)的光化学氧化作用会产生新的 SOA,或被现有的水介质(如云滴和潮解气溶胶)吸收。经过分区后,水相处理会产生多元醇、有机硫酸盐和其他具有高摩尔质量和氧含量的产物。在这项工作中,我们在多相化学盒模型 CAABA/MECCA 中引入了新的低挥发性有机化合物 (LVOC) 的形成。最值得注意的是加入了 SOA 前体--柠檬烯和正构烷烃(5 至 8 个 C 原子),以及异戊二烯在气相和水相氧化形成低挥发性有机化合物的半明了化学机制。此外,还估算了有机分子在水相中的亨利定律溶解常数及其温度相关性。方框模型模拟表明,新的化学方案预测 LVOCs 的形成会增强,众所周知,LVOCs 是 SOAs 的前体物种。正如预期的那样,模型预测 LVOC 与温度呈正相关,但与氮氧化物水平呈负相关。不过,异戊二烯环氧二醇(IEPOX)的水相处理与这两个关键变量的关系更为复杂。与 SOAS 活动的观测结果进行半定量比较后发现,该模型可能会高估 IEPOX 产生的甲基丁烷-1,2,3,4-四醇(MeBuTETROL)。将该机制进一步应用于两个室实验的建模中,一个是臭氧消耗柠檬烯的实验,另一个是 NO3 消耗异戊二烯的实验,结果表明在模型限制范围内与实验结果充分吻合。CAABA/MECCA 中的扩展功能被转移到三维大气模型 MESSy 中,以便在后续研究中全面评估全球范围内水相和/或气溶胶相化学对 SOA 的影响。
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来源期刊
Geoscientific Model Development
Geoscientific Model Development GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
8.60
自引率
9.80%
发文量
352
审稿时长
6-12 weeks
期刊介绍: Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: * geoscientific model descriptions, from statistical models to box models to GCMs; * development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; * new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; * papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; * model experiment descriptions, including experimental details and project protocols; * full evaluations of previously published models.
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