Spatiotemporal variation in near-surface CH4 concentrations in China over the last two decades

Xu, Jiangang; Liu, Qingfang; Wang, Kai; Qiu-long, Wang; Wang, Li; Yu-chan, Liu; Li, Maoyu

doi:10.1007/s11356-021-14007-0

Cited by 4 publications

(1 citation statement)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the constraints and specific qualities of the mentioned data sources, one could potentially infer the level of methane concentration at the ground by consolidating numerous sources of information, such as the vertical distribution of methane in the atmospheric chemistry model data and satellite observation data. Relevant researchers obtained methane concentrations at the ground by fitting the atmospheric chemistry model simulation data with a Gaussian function to compute the methane concentration data at the ground level (Xu et al, 2021). However, due to the highly inadequate resolution of the atmospheric chemistry model data, the outcome achieved is also a general statistical result.…”

Section: Introductionmentioning

confidence: 99%

Improved Gaussian regression model for retrieving ground methane levels by considering vertical profile features

He,

Zheng,

Zhao

et al. 2024

Front. Earth Sci.

View full text Add to dashboard Cite

Atmospheric methane is one of the major greenhouse gases and has a great impact on climate change. To obtain the polluted levels of atmospheric methane in the ground-level range, this study used satellite observations and vertical profile features derived by atmospheric chemistry model to estimate the ground methane concentrations in first. Then, the improved daily ground-level atmospheric methane concentration dataset with full spatial coverage (100%) and 5-km resolution in mainland China from 2019 to 2021 were retrieved by station-based observations and gaussian regression model. The overall estimated deviation between the estimated ground methane concentrations and the WDCGG station-based measurements is less than 10 ppbv. The R by ten-fold cross-validation is 0.93, and the R2 is 0.87. The distribution of the ground-level methane concentrations in the Chinese region is characterized by high in the east and south, and low in the west and north. On the time scale, ground-level methane concentration in the Chinese region is higher in winter and lower in summer. Meanwhile, the spatial and temporal distribution and changes of ground-level methane in local areas have been analyzed using Shandong Province as an example. The results have a potential to detect changes in the distribution of methane concentration.

show abstract

Section: Introductionmentioning

confidence: 99%