S. R. Varpe, A. R. Kolhe, P. Singh, C. M. Mahajan, G. C. Kutal, R. S. Patil, P. Prasad, G. R. Aher
{"title":"印度恒河流域中部农村地区MODIS-AERONET反演气溶胶光学深度的年际变化与比较","authors":"S. R. Varpe, A. R. Kolhe, P. Singh, C. M. Mahajan, G. C. Kutal, R. S. Patil, P. Prasad, G. R. Aher","doi":"10.1007/s41810-022-00135-8","DOIUrl":null,"url":null,"abstract":"<div><p>The long-term (2000–2015) MODIS EOS-Terra/Aqua multi-algorithm (DT, DB and combined DTB) retrieved AOD<sub>550 nm</sub> and AERONET measured AOD<sub>550 nm</sub> data at Gandhi College (24.87° N, 84.19° E; 60 m amsl), a rural site in the central IGB, have been employed to assess the performance of MODIS AOD products against AERONET AOD and to examine their annual and inter-annual variability. For both MODIS Terra/Aqua sensors, the linear regression data statistics reveals that the values of slopes for MODIS Terra-EOS sensor lie in the range 1.04 ± 0.03 [DB (QA = 2,3)] to 1.11 ± 0.02 [DT (QA = (2,3)] which are slightly higher than 1. Also, similar observation is noticed for MODIS Aqua-EOS sensor for which slopes of linear regression fit span over 0.99 ± 0.03 [DB (QA = 2,3)] – 1.16 ± 0.03 [DT (QA = 3)]. The intercept, however, approach zero values for both MODIS Terra/AQUA–EOS sensor at DT (QA = 3), DT (QA = 2,3), DB (QA = 2,3) and DTB combined retrieval algorithms. The evaluation/performance analysis, therefore, exhibits the observed near-perfect match of MODIS Terra/Aqua-EOS sensors derived AOD<sub>550nm</sub> from all algorithms with AERONET measured AOD<sub>550 nm</sub> as a result of magnitudes of the slope and intercept of the linear regression fit to the scatter diagrams of MODIS AOD<sub>550</sub> nm against AERONET AOD<sub>550 nm</sub>. Results, thus indicate that at Gandhi College, the DT, and DTB combined retrieval algorithms satisfactorily estimate AOD products which can then be used to build aerosol climatology over Gandhi College. The MODIS and AERONET derived AOD<sub>550 nm</sub> values over the Gandhi College indicate a distinct annual pattern with maximum AOD<sub>550 nm</sub> during the winter season and minimum AOD<sub>550 nm</sub> during monsoon season and winter-summer transition period. Analysis revealed that the aerosol loading starts building up over the study region from March to June of the pre-monsoon season mainly due to the high convective activity and long-range mineral dust transport from western arid regions. An increase in AOD values during the post-monsoon and winter season is primarily due to the influx of aerosols from biomass burning processes and stable atmospheric conditions, the MODIS Terra retrieved AOD<sub>550 nm</sub> using DT and combined DTB algorithm showed higher values in the month of July of monsoon season as compared to MODIS Aqua retrieved AOD<sub>550 nm</sub>. The inter-annual AOD trend analysis reveals that for MODIS Terra satellite there exits an increasing AOD trend during post-monsoon and winter seasons for DT (0.0233 year<sup>–1</sup>), DB (0.0239 year<sup>–1</sup>) and DTB (0.0246 year<sup>–1</sup>), retrieval algorithms. For MODIS Aqua satellite also, there exists an increasing AOD<sub>550 nm</sub> trend with differing but higher AOD year<sup>–1</sup> trend value. On the contrary, for monsoon and pre-monsoon seasons, for MODIS Terra and Aqua satellite, the AOD trends are found to be statistically insignificant.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s41810-022-00135-8.pdf","citationCount":"1","resultStr":"{\"title\":\"Annual and Inter-annual Variability Coupled with Comparison of MODIS-AERONET Retrieved Aerosol Optical Depth over a Rural Site in the Central Indo-Gangetic Basin\",\"authors\":\"S. R. Varpe, A. R. Kolhe, P. Singh, C. M. Mahajan, G. C. Kutal, R. S. Patil, P. Prasad, G. R. Aher\",\"doi\":\"10.1007/s41810-022-00135-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The long-term (2000–2015) MODIS EOS-Terra/Aqua multi-algorithm (DT, DB and combined DTB) retrieved AOD<sub>550 nm</sub> and AERONET measured AOD<sub>550 nm</sub> data at Gandhi College (24.87° N, 84.19° E; 60 m amsl), a rural site in the central IGB, have been employed to assess the performance of MODIS AOD products against AERONET AOD and to examine their annual and inter-annual variability. For both MODIS Terra/Aqua sensors, the linear regression data statistics reveals that the values of slopes for MODIS Terra-EOS sensor lie in the range 1.04 ± 0.03 [DB (QA = 2,3)] to 1.11 ± 0.02 [DT (QA = (2,3)] which are slightly higher than 1. Also, similar observation is noticed for MODIS Aqua-EOS sensor for which slopes of linear regression fit span over 0.99 ± 0.03 [DB (QA = 2,3)] – 1.16 ± 0.03 [DT (QA = 3)]. The intercept, however, approach zero values for both MODIS Terra/AQUA–EOS sensor at DT (QA = 3), DT (QA = 2,3), DB (QA = 2,3) and DTB combined retrieval algorithms. The evaluation/performance analysis, therefore, exhibits the observed near-perfect match of MODIS Terra/Aqua-EOS sensors derived AOD<sub>550nm</sub> from all algorithms with AERONET measured AOD<sub>550 nm</sub> as a result of magnitudes of the slope and intercept of the linear regression fit to the scatter diagrams of MODIS AOD<sub>550</sub> nm against AERONET AOD<sub>550 nm</sub>. Results, thus indicate that at Gandhi College, the DT, and DTB combined retrieval algorithms satisfactorily estimate AOD products which can then be used to build aerosol climatology over Gandhi College. The MODIS and AERONET derived AOD<sub>550 nm</sub> values over the Gandhi College indicate a distinct annual pattern with maximum AOD<sub>550 nm</sub> during the winter season and minimum AOD<sub>550 nm</sub> during monsoon season and winter-summer transition period. Analysis revealed that the aerosol loading starts building up over the study region from March to June of the pre-monsoon season mainly due to the high convective activity and long-range mineral dust transport from western arid regions. An increase in AOD values during the post-monsoon and winter season is primarily due to the influx of aerosols from biomass burning processes and stable atmospheric conditions, the MODIS Terra retrieved AOD<sub>550 nm</sub> using DT and combined DTB algorithm showed higher values in the month of July of monsoon season as compared to MODIS Aqua retrieved AOD<sub>550 nm</sub>. The inter-annual AOD trend analysis reveals that for MODIS Terra satellite there exits an increasing AOD trend during post-monsoon and winter seasons for DT (0.0233 year<sup>–1</sup>), DB (0.0239 year<sup>–1</sup>) and DTB (0.0246 year<sup>–1</sup>), retrieval algorithms. For MODIS Aqua satellite also, there exists an increasing AOD<sub>550 nm</sub> trend with differing but higher AOD year<sup>–1</sup> trend value. On the contrary, for monsoon and pre-monsoon seasons, for MODIS Terra and Aqua satellite, the AOD trends are found to be statistically insignificant.</p></div>\",\"PeriodicalId\":36991,\"journal\":{\"name\":\"Aerosol Science and Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2022-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s41810-022-00135-8.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aerosol Science and Engineering\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s41810-022-00135-8\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerosol Science and Engineering","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s41810-022-00135-8","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Annual and Inter-annual Variability Coupled with Comparison of MODIS-AERONET Retrieved Aerosol Optical Depth over a Rural Site in the Central Indo-Gangetic Basin
The long-term (2000–2015) MODIS EOS-Terra/Aqua multi-algorithm (DT, DB and combined DTB) retrieved AOD550 nm and AERONET measured AOD550 nm data at Gandhi College (24.87° N, 84.19° E; 60 m amsl), a rural site in the central IGB, have been employed to assess the performance of MODIS AOD products against AERONET AOD and to examine their annual and inter-annual variability. For both MODIS Terra/Aqua sensors, the linear regression data statistics reveals that the values of slopes for MODIS Terra-EOS sensor lie in the range 1.04 ± 0.03 [DB (QA = 2,3)] to 1.11 ± 0.02 [DT (QA = (2,3)] which are slightly higher than 1. Also, similar observation is noticed for MODIS Aqua-EOS sensor for which slopes of linear regression fit span over 0.99 ± 0.03 [DB (QA = 2,3)] – 1.16 ± 0.03 [DT (QA = 3)]. The intercept, however, approach zero values for both MODIS Terra/AQUA–EOS sensor at DT (QA = 3), DT (QA = 2,3), DB (QA = 2,3) and DTB combined retrieval algorithms. The evaluation/performance analysis, therefore, exhibits the observed near-perfect match of MODIS Terra/Aqua-EOS sensors derived AOD550nm from all algorithms with AERONET measured AOD550 nm as a result of magnitudes of the slope and intercept of the linear regression fit to the scatter diagrams of MODIS AOD550 nm against AERONET AOD550 nm. Results, thus indicate that at Gandhi College, the DT, and DTB combined retrieval algorithms satisfactorily estimate AOD products which can then be used to build aerosol climatology over Gandhi College. The MODIS and AERONET derived AOD550 nm values over the Gandhi College indicate a distinct annual pattern with maximum AOD550 nm during the winter season and minimum AOD550 nm during monsoon season and winter-summer transition period. Analysis revealed that the aerosol loading starts building up over the study region from March to June of the pre-monsoon season mainly due to the high convective activity and long-range mineral dust transport from western arid regions. An increase in AOD values during the post-monsoon and winter season is primarily due to the influx of aerosols from biomass burning processes and stable atmospheric conditions, the MODIS Terra retrieved AOD550 nm using DT and combined DTB algorithm showed higher values in the month of July of monsoon season as compared to MODIS Aqua retrieved AOD550 nm. The inter-annual AOD trend analysis reveals that for MODIS Terra satellite there exits an increasing AOD trend during post-monsoon and winter seasons for DT (0.0233 year–1), DB (0.0239 year–1) and DTB (0.0246 year–1), retrieval algorithms. For MODIS Aqua satellite also, there exists an increasing AOD550 nm trend with differing but higher AOD year–1 trend value. On the contrary, for monsoon and pre-monsoon seasons, for MODIS Terra and Aqua satellite, the AOD trends are found to be statistically insignificant.
期刊介绍:
ASE is an international journal that publishes high-quality papers, communications, and discussion that advance aerosol science and engineering. Acceptable article forms include original research papers, review articles, letters, commentaries, news and views, research highlights, editorials, correspondence, and new-direction columns. ASE emphasizes the application of aerosol technology to both environmental and technical issues, and it provides a platform not only for basic research but also for industrial interests. We encourage scientists and researchers to submit papers that will advance our knowledge of aerosols and highlight new approaches for aerosol studies and new technologies for pollution control. ASE promotes cutting-edge studies of aerosol science and state-of-art instrumentation, but it is not limited to academic topics and instead aims to bridge the gap between basic science and industrial applications. ASE accepts papers covering a broad range of aerosol-related topics, including aerosol physical and chemical properties, composition, formation, transport and deposition, numerical simulation of air pollution incidents, chemical processes in the atmosphere, aerosol control technologies and industrial applications. In addition, ASE welcomes papers involving new and advanced methods and technologies that focus on aerosol pollution, sampling and analysis, including the invention and development of instrumentation, nanoparticle formation, nano technology, indoor and outdoor air quality monitoring, air pollution control, and air pollution remediation and feasibility assessments.