X. Shang, T. Mielonen, A. Lipponen, E. Giannakaki, A. Leskinen, V. Buchard, A. Darmenov, Antti Kukkurainen, A. Arola, E. O'connor, A. Hirsikko, M. Komppula
{"title":"来自芬兰多波长拉曼偏振激光雷达和ceilometer的加拿大生物质燃烧气溶胶观测","authors":"X. Shang, T. Mielonen, A. Lipponen, E. Giannakaki, A. Leskinen, V. Buchard, A. Darmenov, Antti Kukkurainen, A. Arola, E. O'connor, A. Hirsikko, M. Komppula","doi":"10.5194/AMT-2021-139","DOIUrl":null,"url":null,"abstract":"Abstract. Layers of biomass burning aerosol particles were observed in the lower troposphere, at 2 to 5 km height on 4 to 6 June 2019, over Kuopio, Finland. These long-range-transported smoke particles originated from a Canadian wildfire event. The most pronounced smoke plume detected on 5 June was intensively investigated. Optical properties were retrieved from the multi-wavelength Raman polarization lidar PollyXT. Particle linear depolarization ratios of this plume were measured to be 0.08 ± 0.02 at 355 nm and 0.05 ± 0.01 at 532 nm which were slightly higher than the values given in the literature. Non-spherical shaped aged smoke particles and/or the mixing with a small amount of fine dust particles could cause the observed increase in the particle linear depolarization ratios. Lidar ratios were derived as 47 ± 5 sr at 355 nm and 71 ± 5 sr at 532 nm. A complete ceilometer data processing for a Vaisala CL51 is presented, including the water vapor correction for high latitude for the first time, from sensor provided attenuated backscatter coefficient to particle mass concentration. A combined lidar and sun-photometer approach (based on AERONET products) is applied for mass concentration estimations. Mass concentrations were estimated from both PollyXT and the ceilometer CL51 observations, which were of the order of ~ 30 µg m−3 in the morning and decreased to ~ 20 µg m−3 in the night. A difference of ~ 30% was found between PollyXT and CL51 estimated mass concentrations. The mass retrievals were discussed and compared with the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) meteorological and aerosol reanalysis. The inclusion of dust in the retrieved mass concentration slightly improved the correspondence between the observations and the MERRA-2 simulations.","PeriodicalId":441110,"journal":{"name":"Atmospheric Measurement Techniques Discussions","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Canadian biomass burning aerosols observations from a multi-wavelength Raman polarization lidar and a ceilometer in Finland\",\"authors\":\"X. Shang, T. Mielonen, A. Lipponen, E. Giannakaki, A. Leskinen, V. Buchard, A. Darmenov, Antti Kukkurainen, A. Arola, E. O'connor, A. Hirsikko, M. Komppula\",\"doi\":\"10.5194/AMT-2021-139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. Layers of biomass burning aerosol particles were observed in the lower troposphere, at 2 to 5 km height on 4 to 6 June 2019, over Kuopio, Finland. These long-range-transported smoke particles originated from a Canadian wildfire event. The most pronounced smoke plume detected on 5 June was intensively investigated. Optical properties were retrieved from the multi-wavelength Raman polarization lidar PollyXT. Particle linear depolarization ratios of this plume were measured to be 0.08 ± 0.02 at 355 nm and 0.05 ± 0.01 at 532 nm which were slightly higher than the values given in the literature. Non-spherical shaped aged smoke particles and/or the mixing with a small amount of fine dust particles could cause the observed increase in the particle linear depolarization ratios. Lidar ratios were derived as 47 ± 5 sr at 355 nm and 71 ± 5 sr at 532 nm. A complete ceilometer data processing for a Vaisala CL51 is presented, including the water vapor correction for high latitude for the first time, from sensor provided attenuated backscatter coefficient to particle mass concentration. A combined lidar and sun-photometer approach (based on AERONET products) is applied for mass concentration estimations. Mass concentrations were estimated from both PollyXT and the ceilometer CL51 observations, which were of the order of ~ 30 µg m−3 in the morning and decreased to ~ 20 µg m−3 in the night. A difference of ~ 30% was found between PollyXT and CL51 estimated mass concentrations. The mass retrievals were discussed and compared with the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) meteorological and aerosol reanalysis. The inclusion of dust in the retrieved mass concentration slightly improved the correspondence between the observations and the MERRA-2 simulations.\",\"PeriodicalId\":441110,\"journal\":{\"name\":\"Atmospheric Measurement Techniques Discussions\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric Measurement Techniques Discussions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5194/AMT-2021-139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Measurement Techniques Discussions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/AMT-2021-139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
摘要2019年6月4日至6日,在芬兰库奥皮奥上空对流层下层2至5公里高度观测到生物质燃烧气溶胶颗粒层。这些远距离传播的烟雾颗粒来自加拿大的一场野火。对6月5日探测到的最明显的烟羽进行了深入调查。从多波长拉曼偏振激光雷达PollyXT中获取光学特性。该羽流的粒子线退极化比在355 nm处为0.08±0.02,在532 nm处为0.05±0.01,略高于文献给出的值。非球形老化烟尘粒子和/或与少量细尘粒子混合会导致观测到的粒子线性退极化比增大。激光雷达比分别为355 nm处的47±5 sr和532 nm处的71±5 sr。本文介绍了Vaisala CL51的完整的ceilometer数据处理,包括首次对高纬度的水汽进行校正,从传感器提供的衰减后向散射系数到粒子质量浓度。采用激光雷达和太阳光度计相结合的方法(基于AERONET产品)进行质量浓度估计。通过polyxt和ceilometer CL51的观测,估计了质量浓度,早上约为~ 30µg m−3,晚上降至~ 20µg m−3。polyxt和CL51的估计质量浓度相差约30%。并与MERRA-2 (Modern-Era Retrospective analysis for Research and Applications, version 2)气象和气溶胶再分析进行了讨论和比较。在获取的质量浓度中包含尘埃略微改善了观测结果与MERRA-2模拟之间的对应关系。
Canadian biomass burning aerosols observations from a multi-wavelength Raman polarization lidar and a ceilometer in Finland
Abstract. Layers of biomass burning aerosol particles were observed in the lower troposphere, at 2 to 5 km height on 4 to 6 June 2019, over Kuopio, Finland. These long-range-transported smoke particles originated from a Canadian wildfire event. The most pronounced smoke plume detected on 5 June was intensively investigated. Optical properties were retrieved from the multi-wavelength Raman polarization lidar PollyXT. Particle linear depolarization ratios of this plume were measured to be 0.08 ± 0.02 at 355 nm and 0.05 ± 0.01 at 532 nm which were slightly higher than the values given in the literature. Non-spherical shaped aged smoke particles and/or the mixing with a small amount of fine dust particles could cause the observed increase in the particle linear depolarization ratios. Lidar ratios were derived as 47 ± 5 sr at 355 nm and 71 ± 5 sr at 532 nm. A complete ceilometer data processing for a Vaisala CL51 is presented, including the water vapor correction for high latitude for the first time, from sensor provided attenuated backscatter coefficient to particle mass concentration. A combined lidar and sun-photometer approach (based on AERONET products) is applied for mass concentration estimations. Mass concentrations were estimated from both PollyXT and the ceilometer CL51 observations, which were of the order of ~ 30 µg m−3 in the morning and decreased to ~ 20 µg m−3 in the night. A difference of ~ 30% was found between PollyXT and CL51 estimated mass concentrations. The mass retrievals were discussed and compared with the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) meteorological and aerosol reanalysis. The inclusion of dust in the retrieved mass concentration slightly improved the correspondence between the observations and the MERRA-2 simulations.