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Long-term measurements (2010–2019) of carbonaceous aerosol at the Zotino Tall Tower Observatory (ZOTTO) in central Siberia. / Михайлов, Евгений Федорович; Ivanova, Olga; Власенко, Сергей Сергеевич; Nebos'ko, Evgeniy; Andreae, Meinrat; Pöschl, Ulrich.

2020. Работа представлена на EGU General Assembly 2020, Vienna, Австрия.

Результаты исследований: Материалы конференцийматериалыРецензирование

Harvard

Михайлов, ЕФ, Ivanova, O, Власенко, СС, Nebos'ko, E, Andreae, M & Pöschl, U 2020, 'Long-term measurements (2010–2019) of carbonaceous aerosol at the Zotino Tall Tower Observatory (ZOTTO) in central Siberia', Работа представлена на EGU General Assembly 2020, Vienna, Австрия, 3/05/20 - 8/05/20. <https://ui.adsabs.harvard.edu/abs/2020EGUGA..22.4908M/abstract>

APA

Михайлов, Е. Ф., Ivanova, O., Власенко, С. С., Nebos'ko, E., Andreae, M., & Pöschl, U. (2020). Long-term measurements (2010–2019) of carbonaceous aerosol at the Zotino Tall Tower Observatory (ZOTTO) in central Siberia. Работа представлена на EGU General Assembly 2020, Vienna, Австрия. https://ui.adsabs.harvard.edu/abs/2020EGUGA..22.4908M/abstract

Vancouver

Михайлов ЕФ, Ivanova O, Власенко СС, Nebos'ko E, Andreae M, Pöschl U. Long-term measurements (2010–2019) of carbonaceous aerosol at the Zotino Tall Tower Observatory (ZOTTO) in central Siberia. 2020. Работа представлена на EGU General Assembly 2020, Vienna, Австрия.

Author

Михайлов, Евгений Федорович ; Ivanova, Olga ; Власенко, Сергей Сергеевич ; Nebos'ko, Evgeniy ; Andreae, Meinrat ; Pöschl, Ulrich. / Long-term measurements (2010–2019) of carbonaceous aerosol at the Zotino Tall Tower Observatory (ZOTTO) in central Siberia. Работа представлена на EGU General Assembly 2020, Vienna, Австрия.

BibTeX

@conference{f613ef1831fd44c48edd425a496c3cde,
title = "Long-term measurements (2010–2019) of carbonaceous aerosol at the Zotino Tall Tower Observatory (ZOTTO) in central Siberia",
abstract = "Long-term measurements (2010–2019) of carbonaceous aerosol at the Zotino Tall Tower Observatory (ZOTTO) in central SiberiaEugene Mikhailov (1,2), Olga Ivanova (1), Sergey Vlasenko (1), Evgeniy Nebos{\textquoteright}ko (1), Meinrat Andreae (2,3) and Ulrich P{\"o}schl (2).(1) Saint-Petersburg University, University, 7/9 Universitetskaya nab., 199034, St. Petersburg, Russia (2), Multiphase Chemistry and Biogeochemistry Departments, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany, (3) Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093, USA.The Siberian forests cover about 70% of the total area of the Eurasian boreal forest and are an important factor controlling global and regional climate. Forest fires and biogenic emissions from coniferous trees and forest litter are the main sources of carbonaceous aerosols emitted into the atmosphere over boreal forests. Typically, two classes of carbonaceous aerosol are commonly present in ambient air – elemental carbon (EC) (often referred to as black carbon or soot) and organic carbon (OC). Both OC and EC are important agents in the climate system, which affect the optical characteristics and thermal balance of the atmosphere both directly, by absorbing and scattering incoming solar radiation, and indirectly, by modifying cloud properties.In 2010, a filter-based sampler was mounted at the background ZOTTO station (60.8º N and 89.4 º E; 114 m a.s.l.) for aerosol chemical analysis. We present here the time series of carbonaceous aerosol data measurements for 10 years (2010 -2019). We investigate the seasonal variations in PM, EC and OC. These data are supplemented by measurements of aerosol absorption (PSAP) and scattering (TSI 3563) coefficients. We analyse polluted, background and near-pristine periods as well as the most pronounced pollution events and their sources observed over the entire sampling campaign.We also present ground-based measurements of aerosol cloud condensation nuclear (CCN) properties and hygroscopicity parameter values obtained from the CCN dataset. A method for assessing the condensation properties of aerosols from satellite measurements based on the data of the VIIRS multichannel radiometer installed on the polar satellite Suomi (USA) has been implemented. The CCN parameters of aerosol particles determined from satellite dataset have been compared with these obtained from ground-based measurements.Acknowledgements. This work was supported by Russian Science Foundation (grantagreement no. 18-17-00076) and Max Planck Society (MPG).",
author = "Михайлов, {Евгений Федорович} and Olga Ivanova and Власенко, {Сергей Сергеевич} and Evgeniy Nebos'ko and Meinrat Andreae and Ulrich P{\"o}schl",
year = "2020",
language = "English",
note = "null ; Conference date: 03-05-2020 Through 08-05-2020",

}

RIS

TY - CONF

T1 - Long-term measurements (2010–2019) of carbonaceous aerosol at the Zotino Tall Tower Observatory (ZOTTO) in central Siberia

AU - Михайлов, Евгений Федорович

AU - Ivanova, Olga

AU - Власенко, Сергей Сергеевич

AU - Nebos'ko, Evgeniy

AU - Andreae, Meinrat

AU - Pöschl, Ulrich

PY - 2020

Y1 - 2020

N2 - Long-term measurements (2010–2019) of carbonaceous aerosol at the Zotino Tall Tower Observatory (ZOTTO) in central SiberiaEugene Mikhailov (1,2), Olga Ivanova (1), Sergey Vlasenko (1), Evgeniy Nebos’ko (1), Meinrat Andreae (2,3) and Ulrich Pöschl (2).(1) Saint-Petersburg University, University, 7/9 Universitetskaya nab., 199034, St. Petersburg, Russia (2), Multiphase Chemistry and Biogeochemistry Departments, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany, (3) Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093, USA.The Siberian forests cover about 70% of the total area of the Eurasian boreal forest and are an important factor controlling global and regional climate. Forest fires and biogenic emissions from coniferous trees and forest litter are the main sources of carbonaceous aerosols emitted into the atmosphere over boreal forests. Typically, two classes of carbonaceous aerosol are commonly present in ambient air – elemental carbon (EC) (often referred to as black carbon or soot) and organic carbon (OC). Both OC and EC are important agents in the climate system, which affect the optical characteristics and thermal balance of the atmosphere both directly, by absorbing and scattering incoming solar radiation, and indirectly, by modifying cloud properties.In 2010, a filter-based sampler was mounted at the background ZOTTO station (60.8º N and 89.4 º E; 114 m a.s.l.) for aerosol chemical analysis. We present here the time series of carbonaceous aerosol data measurements for 10 years (2010 -2019). We investigate the seasonal variations in PM, EC and OC. These data are supplemented by measurements of aerosol absorption (PSAP) and scattering (TSI 3563) coefficients. We analyse polluted, background and near-pristine periods as well as the most pronounced pollution events and their sources observed over the entire sampling campaign.We also present ground-based measurements of aerosol cloud condensation nuclear (CCN) properties and hygroscopicity parameter values obtained from the CCN dataset. A method for assessing the condensation properties of aerosols from satellite measurements based on the data of the VIIRS multichannel radiometer installed on the polar satellite Suomi (USA) has been implemented. The CCN parameters of aerosol particles determined from satellite dataset have been compared with these obtained from ground-based measurements.Acknowledgements. This work was supported by Russian Science Foundation (grantagreement no. 18-17-00076) and Max Planck Society (MPG).

AB - Long-term measurements (2010–2019) of carbonaceous aerosol at the Zotino Tall Tower Observatory (ZOTTO) in central SiberiaEugene Mikhailov (1,2), Olga Ivanova (1), Sergey Vlasenko (1), Evgeniy Nebos’ko (1), Meinrat Andreae (2,3) and Ulrich Pöschl (2).(1) Saint-Petersburg University, University, 7/9 Universitetskaya nab., 199034, St. Petersburg, Russia (2), Multiphase Chemistry and Biogeochemistry Departments, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany, (3) Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093, USA.The Siberian forests cover about 70% of the total area of the Eurasian boreal forest and are an important factor controlling global and regional climate. Forest fires and biogenic emissions from coniferous trees and forest litter are the main sources of carbonaceous aerosols emitted into the atmosphere over boreal forests. Typically, two classes of carbonaceous aerosol are commonly present in ambient air – elemental carbon (EC) (often referred to as black carbon or soot) and organic carbon (OC). Both OC and EC are important agents in the climate system, which affect the optical characteristics and thermal balance of the atmosphere both directly, by absorbing and scattering incoming solar radiation, and indirectly, by modifying cloud properties.In 2010, a filter-based sampler was mounted at the background ZOTTO station (60.8º N and 89.4 º E; 114 m a.s.l.) for aerosol chemical analysis. We present here the time series of carbonaceous aerosol data measurements for 10 years (2010 -2019). We investigate the seasonal variations in PM, EC and OC. These data are supplemented by measurements of aerosol absorption (PSAP) and scattering (TSI 3563) coefficients. We analyse polluted, background and near-pristine periods as well as the most pronounced pollution events and their sources observed over the entire sampling campaign.We also present ground-based measurements of aerosol cloud condensation nuclear (CCN) properties and hygroscopicity parameter values obtained from the CCN dataset. A method for assessing the condensation properties of aerosols from satellite measurements based on the data of the VIIRS multichannel radiometer installed on the polar satellite Suomi (USA) has been implemented. The CCN parameters of aerosol particles determined from satellite dataset have been compared with these obtained from ground-based measurements.Acknowledgements. This work was supported by Russian Science Foundation (grantagreement no. 18-17-00076) and Max Planck Society (MPG).

M3 - Paper

Y2 - 3 May 2020 through 8 May 2020

ER -

ID: 73265476