使用定制潘多拉光谱仪实验和TEMPO观测测量和绘制城市NO2污染异质性

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
R. H. Mooers, J. A. Geddes, C. Naughton, A. Pandey, B. K. Place, G. González Abad, N. Lombel
{"title":"使用定制潘多拉光谱仪实验和TEMPO观测测量和绘制城市NO2污染异质性","authors":"R. H. Mooers,&nbsp;J. A. Geddes,&nbsp;C. Naughton,&nbsp;A. Pandey,&nbsp;B. K. Place,&nbsp;G. González Abad,&nbsp;N. Lombel","doi":"10.1029/2026JD047935","DOIUrl":null,"url":null,"abstract":"<p>Nitrogen dioxide (NO<sub>2</sub>) is a primary pollutant present at high concentrations in urban areas. Ground based measurements remain sparse and satellite observations rely on retrievals, so understanding intraurban, diurnal-scale changes in NO<sub>2</sub> is challenging. We present a novel methodology leveraging the sky scan capabilities of four Pandora spectrometers deployed around the Boston area to improve our understanding of intra-urban NO<sub>2</sub> variability. We collected sky scans in up to four directions per instrument per hour in addition to direct sun observations, yielding high-quality data across all site-azimuth pairs. The observations were applied to understand the role of wind conditions on driving spatial heterogeneity in column NO<sub>2</sub> abundance and local-scale diurnal patterns, finding that each wind type influences NO<sub>2</sub> differently. We leverage our experiment to understand the capabilities of the Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite instrument for tracking changes in NO<sub>2</sub> on intra-urban spatial scales and individual days, something that has not yet been examined in prior validation studies. Due to its value for measuring spatiotemporal variability, this approach can be used to more robustly constrain TEMPO and its uncertainties. Our comparisons with TEMPO in Boston advise caution when using data before 13 UTC as a bias persists, but in the afternoon we show that TEMPO captures similar dynamic range to the Pandoras, with differences likely attributable to spatial sampling mismatches. Our findings support the viability of a multi-azimuth sky scan experiment, and potentially broader adoption of such methodology across the global network of Pandoras.</p>","PeriodicalId":15986,"journal":{"name":"Journal of Geophysical Research: Atmospheres","volume":"131 20","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2026-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2026JD047935","citationCount":"0","resultStr":"{\"title\":\"Measuring and Mapping Urban NO2 Pollution Heterogeneity Using a Custom Pandora Spectrometer Experiment and Observations From TEMPO\",\"authors\":\"R. H. Mooers,&nbsp;J. A. Geddes,&nbsp;C. Naughton,&nbsp;A. Pandey,&nbsp;B. K. Place,&nbsp;G. González Abad,&nbsp;N. Lombel\",\"doi\":\"10.1029/2026JD047935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Nitrogen dioxide (NO<sub>2</sub>) is a primary pollutant present at high concentrations in urban areas. Ground based measurements remain sparse and satellite observations rely on retrievals, so understanding intraurban, diurnal-scale changes in NO<sub>2</sub> is challenging. We present a novel methodology leveraging the sky scan capabilities of four Pandora spectrometers deployed around the Boston area to improve our understanding of intra-urban NO<sub>2</sub> variability. We collected sky scans in up to four directions per instrument per hour in addition to direct sun observations, yielding high-quality data across all site-azimuth pairs. The observations were applied to understand the role of wind conditions on driving spatial heterogeneity in column NO<sub>2</sub> abundance and local-scale diurnal patterns, finding that each wind type influences NO<sub>2</sub> differently. We leverage our experiment to understand the capabilities of the Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite instrument for tracking changes in NO<sub>2</sub> on intra-urban spatial scales and individual days, something that has not yet been examined in prior validation studies. Due to its value for measuring spatiotemporal variability, this approach can be used to more robustly constrain TEMPO and its uncertainties. Our comparisons with TEMPO in Boston advise caution when using data before 13 UTC as a bias persists, but in the afternoon we show that TEMPO captures similar dynamic range to the Pandoras, with differences likely attributable to spatial sampling mismatches. Our findings support the viability of a multi-azimuth sky scan experiment, and potentially broader adoption of such methodology across the global network of Pandoras.</p>\",\"PeriodicalId\":15986,\"journal\":{\"name\":\"Journal of Geophysical Research: Atmospheres\",\"volume\":\"131 20\",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2026-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2026JD047935\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Geophysical Research: Atmospheres\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2026JD047935\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research: Atmospheres","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2026JD047935","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

二氧化氮(NO2)是城市地区高浓度存在的主要污染物。地面测量仍然很少,卫星观测依赖于检索,因此了解城市内NO2的日尺度变化具有挑战性。我们提出了一种新的方法,利用部署在波士顿地区周围的四个潘多拉光谱仪的天空扫描能力来提高我们对城市内二氧化氮变化的理解。除了直接的太阳观测外,我们每台仪器每小时收集多达四个方向的天空扫描,产生所有地点-方位角对的高质量数据。利用这些观测资料了解风条件对柱状NO2丰度和局地尺度日格局的空间异质性的影响,发现每种风类型对NO2的影响不同。我们利用我们的实验来了解对流层排放:污染监测(TEMPO)卫星仪器在城市内部空间尺度和单个天追踪二氧化氮变化的能力,这在之前的验证研究中尚未得到检验。由于其测量时空变异性的价值,该方法可用于更稳健地约束TEMPO及其不确定性。我们与波士顿的TEMPO进行了比较,建议在使用13 UTC之前的数据时要谨慎,因为偏差仍然存在,但在下午,我们显示TEMPO捕获了与潘多拉类似的动态范围,差异可能归因于空间采样不匹配。我们的发现支持了多方位天空扫描实验的可行性,并有可能在全球潘多拉网络中更广泛地采用这种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring and Mapping Urban NO2 Pollution Heterogeneity Using a Custom Pandora Spectrometer Experiment and Observations From TEMPO

Nitrogen dioxide (NO2) is a primary pollutant present at high concentrations in urban areas. Ground based measurements remain sparse and satellite observations rely on retrievals, so understanding intraurban, diurnal-scale changes in NO2 is challenging. We present a novel methodology leveraging the sky scan capabilities of four Pandora spectrometers deployed around the Boston area to improve our understanding of intra-urban NO2 variability. We collected sky scans in up to four directions per instrument per hour in addition to direct sun observations, yielding high-quality data across all site-azimuth pairs. The observations were applied to understand the role of wind conditions on driving spatial heterogeneity in column NO2 abundance and local-scale diurnal patterns, finding that each wind type influences NO2 differently. We leverage our experiment to understand the capabilities of the Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite instrument for tracking changes in NO2 on intra-urban spatial scales and individual days, something that has not yet been examined in prior validation studies. Due to its value for measuring spatiotemporal variability, this approach can be used to more robustly constrain TEMPO and its uncertainties. Our comparisons with TEMPO in Boston advise caution when using data before 13 UTC as a bias persists, but in the afternoon we show that TEMPO captures similar dynamic range to the Pandoras, with differences likely attributable to spatial sampling mismatches. Our findings support the viability of a multi-azimuth sky scan experiment, and potentially broader adoption of such methodology across the global network of Pandoras.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书