2017
DOI: 10.1007/s11430-016-9066-3
|View full text |Cite
|
Sign up to set email alerts
|

Study of atmospheric CO2 and CH4 at Longfengshan WMO/GAW regional station: The variations, trends, influence of local sources/sinks, and transport

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

2
6
0
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
9
1

Relationship

4
6

Authors

Journals

citations
Cited by 26 publications
(11 citation statements)
references
References 35 publications
2
6
0
1
Order By: Relevance
“…The CO 2 values lower than the MBL are thought to be the absorption by land biosphere in June and July, while the higher values in September should be caused by anthropogenic emissions. The seasonal variations of CH 4 at the two sites present completely different trends with MBL, similar to some other stations like the Longfengshan in China (Fang et al, 2017). The largest difference is observed in summer with the bias of 42 ± 1.5 ppb at WLG and 48 ± 1.6 ppb at XGLL.…”
Section: Resultssupporting
confidence: 80%
“…The CO 2 values lower than the MBL are thought to be the absorption by land biosphere in June and July, while the higher values in September should be caused by anthropogenic emissions. The seasonal variations of CH 4 at the two sites present completely different trends with MBL, similar to some other stations like the Longfengshan in China (Fang et al, 2017). The largest difference is observed in summer with the bias of 42 ± 1.5 ppb at WLG and 48 ± 1.6 ppb at XGLL.…”
Section: Resultssupporting
confidence: 80%
“…The Shangri‐La station, which is close to the WLG, showed a similar growth rate of 2.59 ± 1.0 ppm yr −1 during 2010–2014 (Fang, Tans, Dong, et al., 2016). The CO 2 growth rates were obviously higher at adjacent regional stations in China (3.7 ± 1.2 ppm yr −1 at Lin'an during 2009–2011 and 3.1 ± 0.02 ppm yr −1 at Longfengshan during 2009–2013), implying strong differences between city regions and remote areas (Fang et al., 2014, 2017). Regarding other remote stations in the world, Yuan et al.…”
Section: Resultsmentioning
confidence: 99%
“…CO 2 (t), CH 4 (t) and CO (t)) is decomposed into an adjustment function f(t) and into a residual function R(t) (Equation 1). The function f(t) (Equation 2)includes a 2-degree polynomial p(t) representing the long term trend and a series of four harmonics that fit the seasonal cycle (Levin et al, 2002;Ramonet et al, 2002;Fang et al, 2017). The residual function R(t) that represents the synoptic variations, obtained by the difference between the hourly mean measurements and the fitted curve f(t) (Lin et al, 2015).…”
Section: Methodsmentioning
confidence: 99%