Methane emissions from 2000 to 2011 wildfires in Northeast Eurasia estimated with MODIS burned area data
Methane emissions from 2000 to 2011 wildfires in Northeast Eurasia estimated with MODIS burned area data
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DOI：
10.1016/j.atmosenv.2013.02.001
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发表时间：
2013-06
影响因子：
5
通讯作者：
Anastasia Vasileva;K. Moiseenko
中科院分区：
文献类型：
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作者：
Anastasia Vasileva;K. Moiseenko
根据中分辨率成像光谱仪（中分辨率成像光谱仪MCD 45数据产品）的卫星烧毁面积数据和依赖生态系统的火灾排放参数，报告了2000-2011年欧亚大陆东北部甲烷野火排放量的估计值。平均（含标准差）排放量为1.0 ± 0.2 Tg CH 4年-1，年际变化为0.4-2.3 Tg CH 4年-1。大部分排放位于48-55°N范围内，在北方森林区的南部，主要是在西伯利亚和远东。目前独立估计值之间的最大差异出现在西西伯利亚和远东（60-65°N）的次极地地区。与文献报道的甲烷湿地排放量相比，南部野火排放量增加了约5-20%，其估计的年平均值，并与其年际变化的幅度进行了比较。平均季节性周期在4月至5月和7月至8月达到峰值，这与湿地排放的夏季峰值部分重叠。来自全球火灾排放数据库（GFED 3）第3版的独立估计值比本研究高出50%（与本研究相比），十年来的平均年排放量（就不确定性而言，这是相当不错的），并显示出个别年份的差异较大。可能的应用结果被认为是气候研究和逆模拟研究，以及评估的不确定性，在当今的野火排放估计。
Estimates of methane wildfire emissions from Northeast Eurasia for years 2000–2011 are reported on the basis of satellite burned area data from the Moderate Resolution Imaging Spectroradiometer (MODIS MCD45 data product) and ecosystem-dependent fire emission parameters. Average (with standard deviations) emissions are 1.0 ± 0.2 Tg CH4year−1, with interannual variations of 0.4–2.3 Tg CH4year−1. Most of the emissions are located within 48–55°N, in the southern part of the boreal forest zone, mostly in Siberia and Far East. The largest discrepancies among independent present-day estimates are found in the sub-polar regions of West Siberia and Far East (60–65°N). Compared to the methane wetland emissions reported in literature, the wildfire emissions in the south add about 5–20% to their estimated average annual values and are compared with the magnitudes of their interannual variability. Average seasonal cycle peaks in April–May and July–August, which partially overlaps the summertime peak in wetland emissions. The independent estimates from version 3 of Global Fire Emissions Database (GFED3) are by 50% higher (compared to this study) for average annual emissions over the decade (which is quite good regarding the uncertainties) and showed larger differences for individual years. Possible applications of the results are considered for climate research and inverse modeling studies, as well as for assessment of the uncertainties in the present-day wildfire emission estimates.