PubAg

Main content area

Detection and attribution of regional CO2 concentration anomalies using surface observations

Author:
Zhang, Fang, Fukuyama, Yukio, Wang, Yaqiang, Fang, Shuangxi, Li, Ping, Fan, Tianyi, Zhou, Lingxi, Liu, Xingang, Meinhardt, Frank, Emiliani, Patrizio
Source:
Atmospheric environment 2015 v.123 pp. 88-101
ISSN:
1352-2310
Subject:
atmospheric chemistry, carbon, carbon dioxide, ecosystems, greenhouse gas emissions, models, Central European region, China
Abstract:
In this study, observed episodes of CO2 concentrations 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 CO2 elevations and sequestrations. Weighted elevated (▵CO2(W_E)) and sequestered (▵CO2(W_S)) CO2 episodes had large spatial discrepancies due to the differentiation of strength and patterns of CO2 emissions/sinks in different regions. The most significant enhancement in CO2 episodes was observed at Asian sites: ▵CO2(W_E) increased by approximately 56% at an annual rate of ∼4% yr−1 from 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−1 at 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 CO2 levels 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.
Agid:
5473901