Evaluating and comparison of WRF-chem model configurations for wind field impact on the April 2022 dust episode in western Iran

IF 4.2 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Atmospheric Environment Pub Date : 2024-10-28 DOI:10.1016/j.atmosenv.2024.120892
Elham Mobarak Hassan , Mahnaz Karimkhani , Jeff Sepehri (Jafar)
{"title":"Evaluating and comparison of WRF-chem model configurations for wind field impact on the April 2022 dust episode in western Iran","authors":"Elham Mobarak Hassan ,&nbsp;Mahnaz Karimkhani ,&nbsp;Jeff Sepehri (Jafar)","doi":"10.1016/j.atmosenv.2024.120892","DOIUrl":null,"url":null,"abstract":"<div><div>Accurate estimation of wind direction and speed is essential for enhancing the simulation and prediction of dust storms. Being highly susceptible to dust storms, Western Iran necessitates a detailed evaluation of dust concentration and wind fields. This study employs the WRF-Chem model to simulate these parameters over the period from April 7 to 26, 2022. Four different model configurations were tested, involving the Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) boundary layer schemes, as well as the Lin and WRF Single-Moment 6-Class (WSM6) microphysics schemes. The results indicate that during the selected period, different synoptic systems led to the release of dust from Iraq and Saudi Arabia and its transport to western Iran. The mid-level southerly and southwesterly wind directions have a significant impact on dust transport to the northwestern regions of Iran by high and complex mountainous terrain. The horizontal and vertical distribution of simulated dust demonstrates good agreement with TERRA satellite imagery, MERRA-2 dust surface concentration, and CALIPSO, respectively. The daily dust concentration of the WRF-Chem model has a correlation of −0.32 to −0.96 with visibility and 0.68 to 0.86 with MERRA-2 data in Western Iran. The simulated dust concentration relation with visibility and AERONET AOD (Aerosol Optical Depth at 500 nm) was calculated at −0.78 and 0.29, respectively in Zanjan station. The horizontal and vertical distribution, temporal series, and statistical indices of the wind field show that the WRF-Chem model performs well in the Iran West boundary, especially in the west and northwest, where the 10-m wind speed increased to 14 m s<sup>−1</sup>. The boundary layer scheme in the WRF-Chem model has a more significant impact than the microphysics scheme in simulated 10-m wind speed and dust concentration. The final result shows that the combination of the YSU boundary layer and WSM6 microphysics schemes performs very well in simulating wind fields and dust in western Iran under various weather conditions.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"340 ","pages":"Article 120892"},"PeriodicalIF":4.2000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Environment","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1352231024005673","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Accurate estimation of wind direction and speed is essential for enhancing the simulation and prediction of dust storms. Being highly susceptible to dust storms, Western Iran necessitates a detailed evaluation of dust concentration and wind fields. This study employs the WRF-Chem model to simulate these parameters over the period from April 7 to 26, 2022. Four different model configurations were tested, involving the Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) boundary layer schemes, as well as the Lin and WRF Single-Moment 6-Class (WSM6) microphysics schemes. The results indicate that during the selected period, different synoptic systems led to the release of dust from Iraq and Saudi Arabia and its transport to western Iran. The mid-level southerly and southwesterly wind directions have a significant impact on dust transport to the northwestern regions of Iran by high and complex mountainous terrain. The horizontal and vertical distribution of simulated dust demonstrates good agreement with TERRA satellite imagery, MERRA-2 dust surface concentration, and CALIPSO, respectively. The daily dust concentration of the WRF-Chem model has a correlation of −0.32 to −0.96 with visibility and 0.68 to 0.86 with MERRA-2 data in Western Iran. The simulated dust concentration relation with visibility and AERONET AOD (Aerosol Optical Depth at 500 nm) was calculated at −0.78 and 0.29, respectively in Zanjan station. The horizontal and vertical distribution, temporal series, and statistical indices of the wind field show that the WRF-Chem model performs well in the Iran West boundary, especially in the west and northwest, where the 10-m wind speed increased to 14 m s−1. The boundary layer scheme in the WRF-Chem model has a more significant impact than the microphysics scheme in simulated 10-m wind speed and dust concentration. The final result shows that the combination of the YSU boundary layer and WSM6 microphysics schemes performs very well in simulating wind fields and dust in western Iran under various weather conditions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
评估和比较 WRF-化学模型配置对伊朗西部 2022 年 4 月沙尘暴的风场影响
风向和风速的精确估算对于加强沙尘暴的模拟和预测至关重要。伊朗西部极易受到沙尘暴的影响,因此有必要对沙尘浓度和风场进行详细评估。本研究利用 WRF-Chem 模型模拟了 2022 年 4 月 7 日至 26 日期间的这些参数。测试了四种不同的模型配置,包括延世大学(YSU)和 Mellor-Yamada-Janjic (MYJ)边界层方案,以及 Lin 和 WRF 单瞬 6 级(WSM6)微物理方案。结果表明,在所选时段内,不同的同步系统导致沙尘从伊拉克和沙特阿拉伯释放并输送到伊朗西部。中层的南风和西南风风向对伊朗西北部地区的高山复杂地形的沙尘输送有显著影响。模拟沙尘的水平和垂直分布分别与 TERRA 卫星图像、MERRA-2 沙尘表面浓度和 CALIPSO 非常吻合。在伊朗西部,WRF-Chem 模型的日沙尘浓度与能见度的相关性为 -0.32 至 -0.96,与 MERRA-2 数据的相关性为 0.68 至 0.86。在赞詹站,模拟的沙尘浓度与能见度和 AERONET AOD(500 纳米气溶胶光学深度)的相关性分别为-0.78 和 0.29。风场的水平和垂直分布、时间序列和统计指数表明,WRF-Chem 模式在伊朗西部边界表现良好,特别是在西部和西北部,10 米风速增加到 14 米/秒。在模拟 10 米风速和沙尘浓度方面,WRF-Chem 模式中的边界层方案比微物理方案影响更大。最终结果表明,YSU 边界层和 WSM6 微物理方案的组合在模拟伊朗西部各种天气条件下的风场和沙尘时表现非常出色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Atmospheric Environment
Atmospheric Environment 环境科学-环境科学
CiteScore
9.40
自引率
8.00%
发文量
458
审稿时长
53 days
期刊介绍: Atmospheric Environment has an open access mirror journal Atmospheric Environment: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. Atmospheric Environment is the international journal for scientists in different disciplines related to atmospheric composition and its impacts. The journal publishes scientific articles with atmospheric relevance of emissions and depositions of gaseous and particulate compounds, chemical processes and physical effects in the atmosphere, as well as impacts of the changing atmospheric composition on human health, air quality, climate change, and ecosystems.
期刊最新文献
137Cs in outdoor air due to Chernobyl-contaminated wood combustion for residential heating in Thessaloniki, North Greece Reaction between peracetic acid and carbonyl oxide: Quantitative kinetics and insight into implications in the atmosphere Aerosol retrievals derived from a low-cost Calitoo sun-photometer taken on board a research vessel Development of an online cloud fog monitor: Design, laboratory, and field deployment at an unoccupied coastal site in Eastern China The coupling model of random forest and interpretable method quantifies the response relationship between PM2.5 and influencing factors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1