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, J. A. Geddes, C. Naughton, A. Pandey, B. K. Place, G. González Abad, 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, J. A. Geddes, C. Naughton, A. Pandey, B. K. Place, G. González Abad, 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}
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.
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.