Forest fires in Siberia and the Far East: Emissions and atmospheric transport of black carbon to the Arctic

Виноградова, А. А.; Смирнов, Н. С.; Коротков, В. Н.; Romanovskaya, A. A.

doi:10.1134/s1024856015060184

Cited by 43 publications

(12 citation statements)

References 7 publications

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“…In fact, research efforts are increasing in attempts to fully understand this role. At a regional scale, the Canadian-based Boreal Ecosystem-Atmosphere Study (BOREAS) seeks to improve predictions of the CO 2 stored in boreal forests and analyzes satellite data to adjust simulations and to anticipate the impact, interactions, and its effects on climate change [10][11][12]. At a global scale, the programs that stand out in this regard are the Global Observation of Forest and Landcover Dynamics (GOFC/GOLD) under the Global Terrestrial Observing System (GTOS) and the International Geosphere-Biosphere Program (IGBP).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982–2015 Time Series

et al. 2018

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A Bayesian classifier mapped the Burned Area (BA) in the Northeastern Siberian boreal forest (70 • N 120 • E-60 • N 170 • E) from 1982 to 2015. The algorithm selected the 0.05 • (~5 km) Long-Term Data Record (LTDR) version 3 and 4 data sets to generate 10-day BA composites. Landsat-TM scenes of the entire study site in 2002, 2010, and 2011 assessed the spatial accuracy of this LTDR-BA product, in comparison to Moderate-Resolution Imaging Spectroradiometer (MODIS) MCD45A1 and MCD64A1 BA products. The LTDR-BA algorithm proves a reliable source to quantify BA in this part of Siberia, where comprehensive BA remote sensing products since the 1980s are lacking. Once grouped by year and decade, this study explored the trends in fire activity. The LTDR-BA estimates contained a high interannual variability with a maximum of 2.42 million ha in 2002, an average of 0.78 million ha/year, and a standard deviation of 0.61 million ha. Going from 6.36 in the 1980s to 10.21 million ha BA in the 2010s, there was a positive linear BA trend of approximately 1.28 million ha/decade during these last four decades in the Northeastern Siberian boreal forest.

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Section: Introductionmentioning

confidence: 99%

Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982–2015 Time Series

et al. 2018

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“…The most powerful effect is due to smoke from forest fires that cover large areas of the boreal zone (e.g., Chubarova et al, 2012;Sitnov et al, 2013;Zhuravleva et al, 2017). The long-range transport of smoke plumes leads to considerable pollution of the Arctic atmosphere (Stohl et al, 2006;Stone et al, 2008;Eck et al, D. M. Kabanov et al: Interannual and seasonal variations in the aerosol optical depth over Spitsbergen 2009; Vinogradova et al, 2015). These episodes are short in duration (1-3 d) and rare because they depend on the product of the probabilities of two independent events: (a) a fire in any area of boreal zone and (b) the fact that the trajectory of air transport from a fire's center arrives at a given region of the Arctic.…”

Section: Introductionmentioning

confidence: 99%

Interannual and seasonal variations in the aerosol optical depth of the atmosphere in two regions of Spitsbergen (2002–2018)

2020

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Abstract. In this work, hourly averaged sun photometer data from Barentsburg and Ny-Ålesund, both located on Spitsbergen in the European Arctic, are compared. Our data set comprises the years from 2002 to 2018 with overlapping measurements from both sites during the period from 2011 to 2018. For more turbid periods (aerosol optical depth, AOD, τ0.5>0.1), we found that Barentsburg is typically more polluted than Ny-Ålesund, especially in the shortwave spectrum. However, the diurnal variation in the AOD is highly correlated. Next, τ was divided into a fine and coarse mode. It was found that the fine-mode aerosol optical depth generally dominates and also shows a larger interannual than seasonal variation. The fine-mode optical depth is in fact largest in spring during the Arctic haze period. Overall the aerosol optical depth seems to decrease (at 500 nm the fine-mode optical depth decreased by 0.016 over 10 years), although this is hardly statistically significant.

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“…With the drive of increasing temperature and aridity of climate, increasing and mostly unregulated anthropogenic impacts, Siberian terrestrial ecosystems are undergoing integral and inherent dynamics as well (McGuire et al, 2006;Shvidenko, 2009;Kurtsev, 2013), which affects the climate itself in turn, and the climate condition of other regions (Vinogradova et al, 2015), China for example. Siberia climate-land system change induced by variation of temperature and precipitation in Eurasian would have immediate impact on agriculture and ecology of China, especially for the northeast region, the greatest commodity grain base in China adjacent to Siberia.…”

Section: Introductionmentioning

confidence: 99%

High resolution land cover datasets integration and application based on Landsat and Globcover data from 1975 to 2010 in Siberia

Liu

Zhang

et al. 2016

Chin. Geogr. Sci.

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Land cover is recognized as one of the fundamental terrestrial datasets required in land system change and other ecosystem related researches across the globe. The regional differentiation and spatial-temporal variation of land cover has significant impact on regional natural environment and socio-economic sustainable development. Under this context, we reconstructed the history land cover data in Siberia to provide a comparable datasets to the land cover datasets in China and abroad. In this paper, the European Space Agency (ESA) Global Land Cover Map (GlobCover), Landsat Thematic Mapper (TM), Enhanced Thematic Mapper (ETM), Multispectral Scanner (MSS) images, Google Earth images and other additional data were used to produce the land cover datasets in 1975 and 2010 in Siberia. Data evaluation show that the total user′s accuracy of land cover data in 2010 was 86.96%, which was higher than ESA GlobCover data in Siberia. The analysis on the land cover changes found that there were no big land cover changes in Siberia from 1975 to 2010 with only a few conversions between different natural forest types. The mainly changes are the conversion from deciduous needleleaf forest to deciduous broadleaf forest, deciduous needleleaf forest to mixed forest, savannas to deciduous needleleaf forest etc., indicating that the dominant driving factor of land cover changes in Siberia was natural element rather than human activities at some extent, which was very different from China. However, our purpose was not just to produce the land cover datasets at two time period or explore the driving factors of land cover changes in Siberia, we also paid attention on the significance and application of the datasets in various fields such as global climate change, geopolitics, cross-border cooperation and so on. Keywords: land cover change; Landsat; data integration; data application; Siberia Citation: Liu Tingxiang, Zhang Shuwen, Xu Xinliang, Bu Kun, Ning Jia, Chang Liping, 2016. High resolution land cover datasets integration and application based on Landsat and GlobCover data from 1975

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Forest fires in Siberia and the Far East: Emissions and atmospheric transport of black carbon to the Arctic

Cited by 43 publications

References 7 publications

Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982–2015 Time Series

Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982–2015 Time Series

Interannual and seasonal variations in the aerosol optical depth of the atmosphere in two regions of Spitsbergen (2002–2018)

High resolution land cover datasets integration and application based on Landsat and Globcover data from 1975 to 2010 in Siberia

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