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Characterisation of methane variability and trends from near-infrared solar spectra over Hefei, China

Authors :
Wei Wang
Yuan Tian
Youwen Sun
Changgong Shan
Cheng Liu
Xingwei Xu
Qihou Hu
Source :
Atmospheric Environment. 173:198-209
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

This study presents the characterization of XCH4 (averaged-column dry air mole fraction) variability and trends using the near-infrared (NIR) solar spectra recorded by the ground-based high-resolution Fourier transform spectrometer (FTS) over Hefei, China. An annual increase of 10.55 ± 2.87 ppb yr−1 (0.56 ± 0.15% yr−1) in CH4 concentrations was deduced from the three years’ worth of FTS measurements. Seasonal cycles and three typical diurnal variation modes were captured. The maximum CH4 concentration occurred in late summer or early autumn, while the minimum CH4 concentration occurred in winter. CH4 concentrations in August were 30–55 ppb higher than those in January. In most cases, the diurnal variability exhibited an increasing trend in summer or early autumn, while it exhibited a decreasing trend or remained relatively constant in other seasons. We compared the FTS data with the GOSAT data and the GEOS-Chem model data. The average difference between the GOSAT and FTS data (GOSAT minus FTS) was 1.60 ppb (0.09%) ±13.0 ppb (0.70%), and between the smoothed GEOS-Chem model data and FTS data (GEOS-Chem minus FTS) was −8.09 ppb (0.45%) ±17.83 ppb (0.95%). The differences between GOSAT and FTS were season-independent; however, obvious season-dependent differences were observed between GEOS-Chem and FTS. The GOSAT and GEOS-Chem models could reproduce the seasonal cycle observed by FTS with correlation coefficients (r) of 0.77 and 0.86, respectively.

Details

ISSN :
13522310
Volume :
173
Database :
OpenAIRE
Journal :
Atmospheric Environment
Accession number :
edsair.doi...........f075ab9ac1ab153a28b542598700718e
Full Text :
https://doi.org/10.1016/j.atmosenv.2017.11.001