@article{d31b259d60d54548a934ca63b2c40c28,
title = "Ground-based measurement of column-averaged mixing ratios of methane and carbon dioxide in the Sichuan Basin of China by a desktop optical spectrum analyzer",
abstract = "Remote sensing of the atmospheric greenhouse gases, methane (CH4) and carbon dioxide (CO2), contributes to the understanding of global warming and climate change. A portable ground-based instrument consisting of a commercially available desktop optical spectrum analyzer and a small sun tracker has been applied to measure the column densities of atmospheric CH4 and CO2 at Yanting observation station in a mountainous paddy field of the Sichuan Basin from September to November 2013. The column-averaged dry-air molar mixing ratios, XCH4/XCO2, are compared with those retrieved by satellite observations in the Sichuan Basin and by ground-based network observations in the same latitude zone as the Yanting observation station.",
keywords = "methane emission, paddy field, portable instrument, remote area",
author = "Qin, {Xiu Chun} and Tomoki Nakayama and Yutaka Matsumi and Masahiro Kawasaki and Akiko Ono and Sachiko Hayashida and Ryoichi Imasu and Lei, {Li Ping} and Isao Murata and Takahiro Kuroki and Masafumi Ohashi",
note = "Funding Information: X-C.Q thanks the Ministry of Education, Science, Culture and Sports of Japan for studentship. The authors appreciate the valuable comments of Drs. Toshio Ibuki and Gen Inoue. They acknowledge the data products provided by the NIES GOSAT Project, TCCON, HITRAN, and Goddard Earth Sciences Data and Information Services Center of NASA, and thanks the TCCON group of University of Wollongong for its collaboration in the OSA calibration study. This work is financially supported by an advanced analytical instrument program of Japan Science and Technology Agency, a GRENE project of the Ministry of Education, Science, Culture and Sports of Japan and a Frontier Project of Research Institute for Humanity and Nature of Japan. Publisher Copyright: {\textcopyright} 2017 Society of Photo-Optical Instrumentation Engineers (SPIE).",
year = "2018",
month = jan,
day = "1",
doi = "10.1117/1.JRS.12.012002",
language = "English",
volume = "12",
journal = "Journal of Applied Remote Sensing",
issn = "1931-3195",
publisher = "SPIE",
number = "1",
}
