Detection and attribution of regional CO2 concentration anomalies using surface observations
Detection and attribution of regional CO2 concentration anomalies using surface observations
复制标题
利用地面观测来检测和归因区域二氧化碳浓度异常
DOI:
10.1016/j.atmosenv.2015.09.074
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发表时间:
2015-12
影响因子:
5
通讯作者:
Patrizio Emiliani
中科院分区:
文献类型:
--
作者:
Lingxi Zhou;Xingang Liu;Frank Meinhardt;Patrizio Emiliani
In this study, observed episodes of CO2concentrations at eight Northern Hemisphere (NH) sites from 1993 to 2012 were analyzed. Five-day back trajectories were calculated for a potential source contribution function (PSCF) analysis. A normalized weight factor related to the occurrence of the episodes was applied to derive more reasonable CO2elevations and sequestrations. Weighted elevated (▵CO2(W_E)) and sequestered (▵CO2(W_S)) CO2episodes had large spatial discrepancies due to the differentiation of strength and patterns of CO2emissions/sinks in different regions. The most significant enhancement in CO2episodes was observed at Asian sites: ▵CO2(W_E) increased by approximately 56% at an annual rate of ∼4% yr−1from 1995 to 2010 at Waliguan (WLG) and by approximately 39% (∼3% yr−1) from 1997 to 2012 at Yonagunijima (YON). According to the PSCF analysis, these increases are largely attributed to the rapid increase in emissions in China. However, ▵CO2(W_S) was also enhanced by 34.4% with a growth rate of 2.3% yr−1at WLG from 1995 to 2010 and ∼26.2% (1.7% yr−1) at YON from 1997 to 2012. Both ▵CO2(W_E) and ▵CO2(W_S) showed decreasing or relatively flat trends at Monte Cimone and Schauinsland, indicating reductions in emissions and sinks in central Europe. The different intensities/trends in emissions and sinks observed at different sites in the NH show that estimating future CO2levels is a complex problem. Atmospheric inverse and process-based ecosystem models should use more regional input data at high temporal and spatial resolutions for future carbon flux estimations.
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影响因子:
5
作者:
Fang Zhang;Lingxi Zhou
通讯作者:
Lingxi Zhou
DOI:
10.1111/j.1600-0889.2011.00534.x
发表时间:
2011-01
期刊:
Tellus B: Chemical and Physical Meteorology
影响因子:
--
作者:
K. Gurney;W. Eckels
通讯作者:
K. Gurney;W. Eckels
DOI:
--
发表时间:
1998
期刊:
--
影响因子:
--
作者:
R. Draxler
通讯作者:
R. Draxler
影响因子:
--
作者:
J. Turnbull;P. Tans;S. Lehman;D. Baker;T. Conway;Y. Chung;J. Gregg;John B. Miller;J. Southon-J.-S
通讯作者:
J. Turnbull;P. Tans;S. Lehman;D. Baker;T. Conway;Y. Chung;J. Gregg;John B. Miller;J. Southon-J.-S
DOI:
10.1002/qj.49711850705
发表时间:
1992-07-01
影响因子:
8.9
作者:
WEBSTER, PJ;YANG, S
通讯作者:
YANG, S