Hygroscopic growth of atmospheric aerosol particles based on lidar, radiosonde, and in situ measurements: Case studies from the Xinzhou field campaign
Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aeros...
Ausführliche Beschreibung
Gespeichert in:
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Lv, Min [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis - Hervella, Álvaro S. ELSEVIER, 2021, JQSRT, New York, NY [u.a.] |
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| Übergeordnetes Werk: |
volume:188 ; year:2017 ; pages:60-70 ; extent:11 |
| Links: |
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| DOI / URN: |
10.1016/j.jqsrt.2015.12.029 |
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ELV036210730 |
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| 520 | |a Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. | ||
| 520 | |a Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. | ||
| 650 | 7 | |a Aerosol hygroscopic growth |2 Elsevier | |
| 650 | 7 | |a Radiosonde |2 Elsevier | |
| 650 | 7 | |a Aerosol chemical compositions |2 Elsevier | |
| 650 | 7 | |a Lidar |2 Elsevier | |
| 650 | 7 | |a In situ measurements |2 Elsevier | |
| 700 | 1 | |a Liu, Dong |4 oth | |
| 700 | 1 | |a Li, Zhanqing |4 oth | |
| 700 | 1 | |a Mao, Jietai |4 oth | |
| 700 | 1 | |a Sun, Yele |4 oth | |
| 700 | 1 | |a Wang, Zhenzhu |4 oth | |
| 700 | 1 | |a Wang, Yingjian |4 oth | |
| 700 | 1 | |a Xie, Chenbo |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Hervella, Álvaro S. ELSEVIER |t Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis |d 2021 |d JQSRT |g New York, NY [u.a.] |w (DE-627)ELV006657966 |
| 773 | 1 | 8 | |g volume:188 |g year:2017 |g pages:60-70 |g extent:11 |
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10.1016/j.jqsrt.2015.12.029 doi GBVA2017022000011.pica (DE-627)ELV036210730 (ELSEVIER)S0022-4073(15)30186-2 DE-627 ger DE-627 rakwb eng 530 530 DE-600 004 VZ 54.72 bkl Lv, Min verfasserin aut Hygroscopic growth of atmospheric aerosol particles based on lidar, radiosonde, and in situ measurements: Case studies from the Xinzhou field campaign 2017transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. Aerosol hygroscopic growth Elsevier Radiosonde Elsevier Aerosol chemical compositions Elsevier Lidar Elsevier In situ measurements Elsevier Liu, Dong oth Li, Zhanqing oth Mao, Jietai oth Sun, Yele oth Wang, Zhenzhu oth Wang, Yingjian oth Xie, Chenbo oth Enthalten in Elsevier Hervella, Álvaro S. ELSEVIER Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis 2021 JQSRT New York, NY [u.a.] (DE-627)ELV006657966 volume:188 year:2017 pages:60-70 extent:11 https://doi.org/10.1016/j.jqsrt.2015.12.029 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.72 Künstliche Intelligenz VZ AR 188 2017 60-70 11 045F 530 |
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10.1016/j.jqsrt.2015.12.029 doi GBVA2017022000011.pica (DE-627)ELV036210730 (ELSEVIER)S0022-4073(15)30186-2 DE-627 ger DE-627 rakwb eng 530 530 DE-600 004 VZ 54.72 bkl Lv, Min verfasserin aut Hygroscopic growth of atmospheric aerosol particles based on lidar, radiosonde, and in situ measurements: Case studies from the Xinzhou field campaign 2017transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. Aerosol hygroscopic growth Elsevier Radiosonde Elsevier Aerosol chemical compositions Elsevier Lidar Elsevier In situ measurements Elsevier Liu, Dong oth Li, Zhanqing oth Mao, Jietai oth Sun, Yele oth Wang, Zhenzhu oth Wang, Yingjian oth Xie, Chenbo oth Enthalten in Elsevier Hervella, Álvaro S. ELSEVIER Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis 2021 JQSRT New York, NY [u.a.] (DE-627)ELV006657966 volume:188 year:2017 pages:60-70 extent:11 https://doi.org/10.1016/j.jqsrt.2015.12.029 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.72 Künstliche Intelligenz VZ AR 188 2017 60-70 11 045F 530 |
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10.1016/j.jqsrt.2015.12.029 doi GBVA2017022000011.pica (DE-627)ELV036210730 (ELSEVIER)S0022-4073(15)30186-2 DE-627 ger DE-627 rakwb eng 530 530 DE-600 004 VZ 54.72 bkl Lv, Min verfasserin aut Hygroscopic growth of atmospheric aerosol particles based on lidar, radiosonde, and in situ measurements: Case studies from the Xinzhou field campaign 2017transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. Aerosol hygroscopic growth Elsevier Radiosonde Elsevier Aerosol chemical compositions Elsevier Lidar Elsevier In situ measurements Elsevier Liu, Dong oth Li, Zhanqing oth Mao, Jietai oth Sun, Yele oth Wang, Zhenzhu oth Wang, Yingjian oth Xie, Chenbo oth Enthalten in Elsevier Hervella, Álvaro S. ELSEVIER Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis 2021 JQSRT New York, NY [u.a.] (DE-627)ELV006657966 volume:188 year:2017 pages:60-70 extent:11 https://doi.org/10.1016/j.jqsrt.2015.12.029 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.72 Künstliche Intelligenz VZ AR 188 2017 60-70 11 045F 530 |
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10.1016/j.jqsrt.2015.12.029 doi GBVA2017022000011.pica (DE-627)ELV036210730 (ELSEVIER)S0022-4073(15)30186-2 DE-627 ger DE-627 rakwb eng 530 530 DE-600 004 VZ 54.72 bkl Lv, Min verfasserin aut Hygroscopic growth of atmospheric aerosol particles based on lidar, radiosonde, and in situ measurements: Case studies from the Xinzhou field campaign 2017transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. Aerosol hygroscopic growth Elsevier Radiosonde Elsevier Aerosol chemical compositions Elsevier Lidar Elsevier In situ measurements Elsevier Liu, Dong oth Li, Zhanqing oth Mao, Jietai oth Sun, Yele oth Wang, Zhenzhu oth Wang, Yingjian oth Xie, Chenbo oth Enthalten in Elsevier Hervella, Álvaro S. ELSEVIER Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis 2021 JQSRT New York, NY [u.a.] (DE-627)ELV006657966 volume:188 year:2017 pages:60-70 extent:11 https://doi.org/10.1016/j.jqsrt.2015.12.029 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.72 Künstliche Intelligenz VZ AR 188 2017 60-70 11 045F 530 |
| allfieldsSound |
10.1016/j.jqsrt.2015.12.029 doi GBVA2017022000011.pica (DE-627)ELV036210730 (ELSEVIER)S0022-4073(15)30186-2 DE-627 ger DE-627 rakwb eng 530 530 DE-600 004 VZ 54.72 bkl Lv, Min verfasserin aut Hygroscopic growth of atmospheric aerosol particles based on lidar, radiosonde, and in situ measurements: Case studies from the Xinzhou field campaign 2017transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. Aerosol hygroscopic growth Elsevier Radiosonde Elsevier Aerosol chemical compositions Elsevier Lidar Elsevier In situ measurements Elsevier Liu, Dong oth Li, Zhanqing oth Mao, Jietai oth Sun, Yele oth Wang, Zhenzhu oth Wang, Yingjian oth Xie, Chenbo oth Enthalten in Elsevier Hervella, Álvaro S. ELSEVIER Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis 2021 JQSRT New York, NY [u.a.] (DE-627)ELV006657966 volume:188 year:2017 pages:60-70 extent:11 https://doi.org/10.1016/j.jqsrt.2015.12.029 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.72 Künstliche Intelligenz VZ AR 188 2017 60-70 11 045F 530 |
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hygroscopic growth of atmospheric aerosol particles based on lidar, radiosonde, and in situ measurements: case studies from the xinzhou field campaign |
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Hygroscopic growth of atmospheric aerosol particles based on lidar, radiosonde, and in situ measurements: Case studies from the Xinzhou field campaign |
| abstract |
Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. |
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Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. |
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Lidar, radiosonde, and ground-based in situ nephelometer measurements made during an intensive field campaign carried out from July to September 2014 at the Xinzhou meteorological station were used to determine the aerosol hygroscopic growth effect in a cloud-capped, well-mixed boundary layer. Aerosol hygroscopic properties at 355 and 532nm were examined for two cases with distinct aerosol layers. Lidar-derived maximum enhancement factors in terms of aerosol backscatter coefficient derived using a relative humidity (RH) reference value of 85% were 1.19 at 532nm and 1.10 at 355nm for Case I and 2.32 at 532nm and 1.94 at 355nm for Case II. To derive the aerosol particle hygroscopic growth factor at specific RH values, the Kasten and Hänel models were used. A comparison of the goodness of fit for the two models showed that the Kasten model performed better. The hygroscopic growth curve for RH>90% was much steeper than that for RH in the range of 85–90%. The slopes of the lidar-derived enhancement factor curve (measured from 85% to 95% RH) and the nephelometer-derived enhancement factor curve (measured from 40% to 62% RH) in Case I show similar trends, which lends confidence to using lidar measurements for studying aerosol particle hygroscopic growth. Data from a ground aerosol chemical speciation monitor showed that the larger values of aerosol hygroscopic enhancement factor in Case II corresponded to greater mass concentrations of sulfate and nitrate in the atmosphere. |
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