Articles | Volume 8, issue 12
https://doi.org/10.5194/bg-8-3771-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-8-3771-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Dec 2011
Research article |
| 21 Dec 2011
Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010
L. Mei
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing
Graduate University of the Chinese Academy of Sciences, Beijing, China
Y. Xue
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing
Faculty of Computing, London Metropolitan University, London N7 8DB, UK
G. de Leeuw
Department of Physics, University of Helsinki, Helsinki, Finland
Finnish Meteorological Institute, Climate Change Unit, Helsinki, Finland
Netherlands Organisation for Applied Scientific Research TNO, Utrecht, The Nertherlands
J. Guang
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing
Y. Wang
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing
Graduate University of the Chinese Academy of Sciences, Beijing, China
Y. Li
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing
Graduate University of the Chinese Academy of Sciences, Beijing, China
H. Xu
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing
Graduate University of the Chinese Academy of Sciences, Beijing, China
L. Yang
School of Geography, Beijing Normal University, Beijing, China
T. Hou
Center for Earth Observation and Digital Earth of the Chinese Academy of Sciences, Beijing, China
Graduate University of the Chinese Academy of Sciences, Beijing, China
X. He
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing
Graduate University of the Chinese Academy of Sciences, Beijing, China
C. Wu
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing
J. Dong
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing
Graduate University of the Chinese Academy of Sciences, Beijing, China
Z. Chen
Center for Earth Observation and Digital Earth of the Chinese Academy of Sciences, Beijing, China
Graduate University of the Chinese Academy of Sciences, Beijing, China
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28 citations as recorded by crossref.
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- Long-range transported biomass-burning aerosols from large-scale wildfires in Russia and surrounding regions with respect to radioactive tracers E. Dalaka et al. 10.1007/s11869-019-00676-x
- Occurrence and Risk Assessment of PAHs in Surface Sediments from Western Arctic and Subarctic Oceans F. Chen et al. 10.3390/ijerph15040734
- Aerosol composition and microstructure in the smoky atmosphere of Moscow during the August 2010 extreme wildfires O. Popovicheva et al. 10.1134/S0001433817010091
- Distribution of wildland fires and possible hotspots for the Zimbabwean component of Kavango-Zambezi Transfrontier Conservation Area K. Mpakairi et al. 10.1080/03736245.2018.1541023
- Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey M. Aldabash et al. 10.3390/atmos11090905
- Biomass Burning Aerosols Observed in Northern Finland during the 2010 Wildfires in Russia T. Mielonen et al. 10.3390/atmos4010017
- A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data L. Mei et al. 10.1016/j.rse.2016.11.016
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- The role of semi-volatile organic compounds in the mesoscale evolution of biomass burning aerosol: a modeling case study of the 2010 mega-fire event in Russia I. Konovalov et al. 10.5194/acp-15-13269-2015
- Skillful seasonal prediction of summer wildfires over Central Asia Y. Pan et al. 10.1016/j.gloplacha.2023.104043
- Physicochemical characterization of smoke aerosol during large-scale wildfires: Extreme event of August 2010 in Moscow O. Popovicheva et al. 10.1016/j.atmosenv.2014.03.026
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- Formaldehyde and nitrogen dioxide in the atmosphere during summer weather extremes and wildfires in European Russia in 2010 and Western Siberia in 2012 S. Sitnov & I. Mokhov 10.1080/01431161.2017.1312618
- Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis R. Yang et al. 10.4081/gh.2021.1024
- Physicochemical characterization of aged biomass burning aerosol after long-range transport to Greece from large scale wildfires in Russia and surrounding regions, Summer 2010 E. Diapouli et al. 10.1016/j.atmosenv.2014.07.055
- Aerosol optical depth retrieval in the Arctic region using MODIS data over snow L. Mei et al. 10.1016/j.rse.2012.10.009
- Multiscale assessment of the impact on air quality of an intense wildfire season in southern Italy J. Castagna et al. 10.1016/j.scitotenv.2020.143271
- Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements A. Määttä et al. 10.5194/amt-7-1185-2014
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- Solar “brightening” impact on summer surface ozone between 1990 and 2010 in Europe – a model sensitivity study of the influence of the aerosol–radiation interactions E. Oikonomakis et al. 10.5194/acp-18-9741-2018
- Multicore Processors and Graphics Processing Unit Accelerators for Parallel Retrieval of Aerosol Optical Depth From Satellite Data: Implementation, Performance, and Energy Efficiency J. Liu et al. 10.1109/JSTARS.2015.2438893
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- A fast and accurate radiative transfer model for aerosol remote sensing L. Mei et al. 10.1016/j.jqsrt.2020.107270
- Geospatial Distribution and Projection of Aerosol over Sub-Saharan Africa: Assessment from Remote Sensing and Other Platforms G. Atai et al. 10.1007/s41810-021-00107-4
- Analysis of the 2014 “APEC Blue” in Beijing Using More than One Decade of Satellite Observations: Lessons Learned from Radical Emission Control Measures R. Meng et al. 10.3390/rs71115224
27 citations as recorded by crossref.
- Impact of Siberian forest fires on the atmosphere over the Korean Peninsula during summer 2014 J. Jung et al. 10.5194/acp-16-6757-2016
- Natural hazards and extreme events in the Baltic Sea region A. Rutgersson et al. 10.5194/esd-13-251-2022
- Long-range transported biomass-burning aerosols from large-scale wildfires in Russia and surrounding regions with respect to radioactive tracers E. Dalaka et al. 10.1007/s11869-019-00676-x
- Occurrence and Risk Assessment of PAHs in Surface Sediments from Western Arctic and Subarctic Oceans F. Chen et al. 10.3390/ijerph15040734
- Aerosol composition and microstructure in the smoky atmosphere of Moscow during the August 2010 extreme wildfires O. Popovicheva et al. 10.1134/S0001433817010091
- Distribution of wildland fires and possible hotspots for the Zimbabwean component of Kavango-Zambezi Transfrontier Conservation Area K. Mpakairi et al. 10.1080/03736245.2018.1541023
- Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey M. Aldabash et al. 10.3390/atmos11090905
- Biomass Burning Aerosols Observed in Northern Finland during the 2010 Wildfires in Russia T. Mielonen et al. 10.3390/atmos4010017
- A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data L. Mei et al. 10.1016/j.rse.2016.11.016
- Assessment of air quality during worst wildfires in Mugla and Antalya regions of Turkey S. Tariq et al. 10.1007/s11069-022-05592-5
- Comparison of tropospheric NO<sub>2</sub> vertical columns in an urban environment using satellite, multi-axis differential optical absorption spectroscopy, and in situ measurements D. Mendolia et al. 10.5194/amt-6-2907-2013
- The role of semi-volatile organic compounds in the mesoscale evolution of biomass burning aerosol: a modeling case study of the 2010 mega-fire event in Russia I. Konovalov et al. 10.5194/acp-15-13269-2015
- Skillful seasonal prediction of summer wildfires over Central Asia Y. Pan et al. 10.1016/j.gloplacha.2023.104043
- Physicochemical characterization of smoke aerosol during large-scale wildfires: Extreme event of August 2010 in Moscow O. Popovicheva et al. 10.1016/j.atmosenv.2014.03.026
- Indirect estimation of absorption properties for fine aerosol particles using AATSR observations: a case study of wildfires in Russia in 2010 E. Rodríguez et al. 10.5194/amt-8-3075-2015
- Formaldehyde and nitrogen dioxide in the atmosphere during summer weather extremes and wildfires in European Russia in 2010 and Western Siberia in 2012 S. Sitnov & I. Mokhov 10.1080/01431161.2017.1312618
- Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis R. Yang et al. 10.4081/gh.2021.1024
- Physicochemical characterization of aged biomass burning aerosol after long-range transport to Greece from large scale wildfires in Russia and surrounding regions, Summer 2010 E. Diapouli et al. 10.1016/j.atmosenv.2014.07.055
- Aerosol optical depth retrieval in the Arctic region using MODIS data over snow L. Mei et al. 10.1016/j.rse.2012.10.009
- Multiscale assessment of the impact on air quality of an intense wildfire season in southern Italy J. Castagna et al. 10.1016/j.scitotenv.2020.143271
- Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements A. Määttä et al. 10.5194/amt-7-1185-2014
- Hindcast experiments of tropospheric composition during the summer 2010 fires over western Russia V. Huijnen et al. 10.5194/acp-12-4341-2012
- Solar “brightening” impact on summer surface ozone between 1990 and 2010 in Europe – a model sensitivity study of the influence of the aerosol–radiation interactions E. Oikonomakis et al. 10.5194/acp-18-9741-2018
- Multicore Processors and Graphics Processing Unit Accelerators for Parallel Retrieval of Aerosol Optical Depth From Satellite Data: Implementation, Performance, and Energy Efficiency J. Liu et al. 10.1109/JSTARS.2015.2438893
- Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. 10.1016/j.atmosres.2019.05.023
- A fast and accurate radiative transfer model for aerosol remote sensing L. Mei et al. 10.1016/j.jqsrt.2020.107270
- Geospatial Distribution and Projection of Aerosol over Sub-Saharan Africa: Assessment from Remote Sensing and Other Platforms G. Atai et al. 10.1007/s41810-021-00107-4
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