使用 Cloud-J v7.3e 在 EMEP MSC-W 化学传输模式中实施和评估更新的光解率

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Geoscientific Model Development Pub Date : 2023-12-21 DOI:10.5194/gmd-16-7433-2023
Willem E. van Caspel, David Simpson, J. Jonson, A. Benedictow, Yao Ge, A. D. Di Sarra, G. Pace, M. Vieno, Hannah L. Walker, M. Heal
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引用次数: 0

摘要

摘要本研究介绍了最先进的 Cloud-J v7.3 光解率计算代码在 EMEP MSC-W 化学传输模式中的应用。Cloud-J 计算光解率,并在模型运行时考虑云和气溶胶的光学特性,取代了基于表格值的旧系统。根据太平洋上空的航空光解率观测数据以及欧洲三个测量点的地表观测数据,对 Cloud-J 的性能进行了评估。进行了数值实验,以研究计算出的光解率对时空模型分辨率、输入气象模型、模拟臭氧柱和云效应参数化的敏感性。这些实验表明,计算出的光解率对输入气象模型和云效应参数化的选择最为敏感,同时还表明,由于总臭氧柱的日变化,地表臭氧光解率的变化可达 20%。进一步的分析研究了云-J 对对流层氧化能力、气溶胶-光解相互作用以及地表空气质量预测的影响。结果发现,对流层氢氧基的年均质量加权浓度增加了 26%,而气溶胶的光解影响主要局限于大型热带生物质燃烧地区。总体而言,Cloud-J 比表格系统有了重大改进,从而提高了预测一氧化碳和臭氧日最大表面浓度的模型性能。
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Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemistry-transport model using Cloud-J v7.3e
Abstract. The present work describes the implementation of the state of the art Cloud-J v7.3 photolysis rate calculation code in the EMEP MSC-W chemistry-transport model. Cloud-J calculates photolysis rates and accounts for cloud and aerosol optical properties at model run time, replacing the old system based on tabulated values. The performance of Cloud-J is evaluated against aerial photolysis rate observations made over the Pacific Ocean and against surface observations from three measurement sites in Europe. Numerical experiments are performed to investigate the sensitivity of the calculated photolysis rates to the spatial and temporal model resolution, input meteorology model, simulated ozone column, and cloud effect parameterization. These experiments indicate that the calculated photolysis rates are most sensitive to the choice of input meteorology model and cloud effect parameterization while also showing that surface ozone photolysis rates can vary by up to 20 % due to daily variations in total ozone column. Further analysis investigates the impact of Cloud-J on the oxidizing capacity of the troposphere, aerosol–photolysis interactions, and surface air quality predictions. Results find that the annual mean mass-weighted tropospheric hydroxyl concentration is increased by 26 %, while the photolytic impact of aerosols is mostly limited to large tropical biomass-burning regions. Overall, Cloud-J represents a major improvement over the tabulated system, leading to improved model performance for predicting carbon monoxide and daily maximum ozone surface concentrations.
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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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