• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

对MERRA-2数据在沙特阿拉伯王国上空气溶胶模式的评估。

Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia.

作者信息

Labban Abdulhaleem H, Butt Mohsin Jamil

机构信息

Department of Meteorology, Faculty of Environmental Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.

Center of Excellence for Climate Change Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

出版信息

Heliyon. 2023 Jun 7;9(6):e17047. doi: 10.1016/j.heliyon.2023.e17047. eCollection 2023 Jun.

DOI:10.1016/j.heliyon.2023.e17047
PMID:37484343
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10361094/
Abstract

Aerosol is one of the major climate-forcing parameters which affect the Kingdom of Saudi Arabia in particular. The most relevant consideration that characterizes the aerosol properties and distribution is the Aerosol Optical Depth (AOD). In this study Modern Era Retrospective Analysis for Research and Applications (MERRA-2) AOD product from the year 1980-2021 is used to investigate aerosols pattern over the Kingdom of Saudi Arabia. The validation of the MERRA-2 AOD product is made by using AOD data retrieved from Aerosol Robotic Network (AERONET) stations located at Solar Village (SV) and at King Abdullah University of Science and Technology (KAUST). Various statistical analyses are performed to test the reliability of MERRA-2 data in the study region. The results of the statistical analysis indicate that MERRA-2 is highly correlated with both AERONET stations data. Thus, annual and seasonal aerosol climatology maps based on 41 years of MERRA-2 data are prepared and analyzed over the study region. The annual and seasonal aerosol climatology analysis of MERRA-2 data shows high density of AOD at southern and eastern regions while the low density emerges over the western and northern regions of the country during the study period. The results of the study are very encouraging, which increases our confidence level to use historical MERRA-2 AOD product to improve the knowledge on aerosols distribution over the region in future.

摘要

气溶胶是影响沙特阿拉伯王国的主要气候强迫参数之一。表征气溶胶特性和分布的最相关考量因素是气溶胶光学厚度(AOD)。在本研究中,使用了1980 - 2021年的现代时代回顾性研究与应用分析(MERRA - 2)AOD产品来调查沙特阿拉伯王国上空的气溶胶模式。通过使用从位于太阳能村(SV)和阿卜杜拉国王科技大学(KAUST)的气溶胶机器人网络(AERONET)站点获取的AOD数据,对MERRA - 2 AOD产品进行了验证。进行了各种统计分析以检验MERRA - 2数据在研究区域的可靠性。统计分析结果表明,MERRA - 2与两个AERONET站点的数据高度相关。因此,基于41年MERRA - 2数据编制并分析了研究区域的年度和季节气溶胶气候学地图。MERRA - 2数据的年度和季节气溶胶气候学分析表明,在研究期间,该国南部和东部地区的AOD密度较高,而西部地区和北部地区的密度较低。该研究结果非常令人鼓舞,这增加了我们在未来使用历史MERRA - 2 AOD产品来增进对该区域气溶胶分布了解的信心。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/7d354e0871e8/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/eceb6aae22da/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/472a9bc3560a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/c6a73e50c085/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/3582b03e77d5/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/32e859ce0398/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/7d354e0871e8/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/eceb6aae22da/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/472a9bc3560a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/c6a73e50c085/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/3582b03e77d5/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/32e859ce0398/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a522/10361094/7d354e0871e8/gr6.jpg

相似文献

1
Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia.对MERRA-2数据在沙特阿拉伯王国上空气溶胶模式的评估。
Heliyon. 2023 Jun 7;9(6):e17047. doi: 10.1016/j.heliyon.2023.e17047. eCollection 2023 Jun.
2
Assessment of AOD variability over Saudi Arabia using MODIS Deep Blue products.利用 MODIS Deep Blue 产品评估沙特阿拉伯上空的 AOD 变化。
Environ Pollut. 2017 Dec;231(Pt 1):143-153. doi: 10.1016/j.envpol.2017.07.104. Epub 2017 Aug 8.
3
Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region.利用多方法观测评估热带地区气溶胶负荷的空间分布和气溶胶光学厚度变化
Heliyon. 2023 Aug 3;9(8):e18815. doi: 10.1016/j.heliyon.2023.e18815. eCollection 2023 Aug.
4
Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types.伊朗长期气溶胶光学深度趋势及主要气溶胶类型的识别。
Sci Total Environ. 2020 Jun 20;722:137906. doi: 10.1016/j.scitotenv.2020.137906. Epub 2020 Mar 12.
5
Differentiating between local and remote pollution over Taiwan.区分台湾上空的本地污染和远程污染。
Aerosol Air Qual Res. 2018 Jul;18(7):1788-1798. doi: 10.4209/aaqr.2017.10.0378. Epub 2018 Jun 20.
6
The MERRA-2 Aerosol Reanalysis, 1980 - onward, Part I: System Description and Data Assimilation Evaluation.MERRA-2气溶胶再分析,1980年起,第一部分:系统描述与数据同化评估。
J Clim. 2017 Sep;30(17):6823-6850. doi: 10.1175/JCLI-D-16-0609.1. Epub 2017 Jul 27.
7
The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies.MERRA-2气溶胶再分析,始于1980年。第二部分:评估与案例研究。
J Clim. 2017 Sep 1;30(17):6851-6872. doi: 10.1175/jcli-d-16-0613.1. Epub 2017 Jul 27.
8
Long-term spatiotemporal variation in atmospheric aerosol properties over Türkiye based on MERRA-2 reanalysis data: aerosol classification based on city type.基于 MERRA-2 再分析数据的土耳其大气气溶胶特性的长期时空变化:基于城市类型的气溶胶分类。
Environ Sci Pollut Res Int. 2024 Jun;31(28):40655-40668. doi: 10.1007/s11356-023-27920-3. Epub 2023 Jun 3.
9
Interdecadal variation in aerosol optical properties and their relationships to meteorological parameters over northeast China from 1980 to 2017.1980 年至 2017 年中国东北地区气溶胶光学特性的年代际变化及其与气象参数的关系。
Chemosphere. 2020 May;247:125737. doi: 10.1016/j.chemosphere.2019.125737. Epub 2019 Dec 28.
10
Aerosol-induced atmospheric heating rate decreases over South and East Asia as a result of changing content and composition.气溶胶引起的大气加热率在南亚和东亚减少,这是由于含量和成分的变化。
Sci Rep. 2020 Nov 18;10(1):20091. doi: 10.1038/s41598-020-76936-z.

本文引用的文献

1
Aerosol optical depth (AOD): spatial and temporal variations and association with meteorological covariates in Taklimakan desert, China.气溶胶光学厚度(AOD):中国塔克拉玛干沙漠的时空变化及其与气象协变量的关系
PeerJ. 2021 Jan 5;9:e10542. doi: 10.7717/peerj.10542. eCollection 2021.
2
The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies.MERRA-2气溶胶再分析,始于1980年。第二部分:评估与案例研究。
J Clim. 2017 Sep 1;30(17):6851-6872. doi: 10.1175/jcli-d-16-0613.1. Epub 2017 Jul 27.
3
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2).
现代时代研究与应用回顾分析第2版(MERRA-2)
J Clim. 2017 Jun 20;Volume 30(Iss 13):5419-5454. doi: 10.1175/JCLI-D-16-0758.1.
4
The MERRA-2 Aerosol Reanalysis, 1980 - onward, Part I: System Description and Data Assimilation Evaluation.MERRA-2气溶胶再分析,1980年起,第一部分:系统描述与数据同化评估。
J Clim. 2017 Sep;30(17):6823-6850. doi: 10.1175/JCLI-D-16-0609.1. Epub 2017 Jul 27.
5
Assessment of AOD variability over Saudi Arabia using MODIS Deep Blue products.利用 MODIS Deep Blue 产品评估沙特阿拉伯上空的 AOD 变化。
Environ Pollut. 2017 Dec;231(Pt 1):143-153. doi: 10.1016/j.envpol.2017.07.104. Epub 2017 Aug 8.
6
The empirical correlations between PM2.5, PM10 and AOD in the Beijing metropolitan region and the PM2.5, PM10 distributions retrieved by MODIS.北京地区 PM2.5、PM10 与 AOD 的经验相关关系,以及 MODIS 反演得到的 PM2.5、PM10 分布。
Environ Pollut. 2016 Sep;216:350-360. doi: 10.1016/j.envpol.2016.05.085. Epub 2016 Jun 10.
7
Development and implementation of a remote-sensing and in situ data-assimilating version of CMAQ for operational PM2.5 forecasting. Part 1: MODIS aerosol optical depth (AOD) data-assimilation design and testing.用于PM2.5业务预报的CMAQ遥感与现场数据同化版本的开发与实施。第1部分:MODIS气溶胶光学厚度(AOD)数据同化设计与测试。
J Air Waste Manag Assoc. 2015 Dec;65(12):1395-412. doi: 10.1080/10962247.2015.1096862.
8
Global-scale seasonally resolved black carbon vertical profiles over the Pacific.太平洋上空全球尺度的季节性分辨黑碳垂直廓线
Geophys Res Lett. 2013 Oct 28;40(20):5542-5547. doi: 10.1002/2013GL057775. Epub 2013 Oct 23.
9
Impact of assimilated and interactive aerosol on tropical cyclogenesis.同化和相互作用的气溶胶对热带气旋生成的影响。
Geophys Res Lett. 2014 May 16;41(9):3282-3288. doi: 10.1002/2014GL059918. Epub 2014 May 15.
10
Estimating PM2.5 in Xi'an, China using aerosol optical depth: a comparison between the MODIS and MISR retrieval models.利用气溶胶光学厚度估算中国西安的 PM2.5:MODIS 和 MISR 反演模型的比较。
Sci Total Environ. 2015 Feb 1;505:1156-65. doi: 10.1016/j.scitotenv.2014.11.024. Epub 2014 Nov 20.