4.6 Article

Carbon flux estimation for Siberia by inverse modeling constrained by aircraft and tower CO2 measurements

期刊

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
卷 118, 期 2, 页码 1100-1122

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/jgrd.50127

关键词

-

资金

  1. Ministry of the Environment, Japan
  2. U.S. Department of Energy, Office of Science, Biological and Environmental Research (BER) under U.S. Department of Energy [DE-AC05-00OR22725]

向作者/读者索取更多资源

Being one of the largest carbon reservoirs in the world, the Siberian carbon sink however remains poorly understood due to the limited numbers of observation. We present the first results of atmospheric CO2 inversions utilizing measurements from a Siberian tower network (Japan-Russia Siberian Tall Tower Inland Observation Network; JR-STATION) and four aircraft sites, in addition to surface background flask measurements by the National Oceanic and Atmospheric Administration (NOAA). Our inversion with only the NOAA data yielded a boreal Eurasian CO2 flux of -0.56 +/- 0.79 GtC yr(-1), whereas we obtained a weaker uptake of -0.35 +/- 0.61 GtC yr(-1) when the Siberian data were also included. This difference is mainly explained by a weakened summer uptake, especially in East Siberia. We also found the inclusion of the Siberian data had significant impacts on inversion results over northeastern Europe as well as boreal Eurasia. The inversion with the Siberian data reduced the regional uncertainty by 22% on average in boreal Eurasia, and further uncertainty reductions up to 80% were found in eastern and western Siberia. Larger interannual variability was clearly seen in the inversion which includes the Siberia data than the inversion without the Siberia data. In the inversion with NOAA plus Siberia data, east Siberia showed a larger interannual variability than that in west and central Siberia. Finally, we conducted forward simulations using estimated fluxes and confirmed that the fit to independent measurements over central Siberia, which were not included in inversions, was greatly improved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据