气候变化领域集成服务门户(CCPortal): Mesospheric nitric oxide model from SCIAMACHY data

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DOI	10.5194/acp-19-2135-2019
	Mesospheric nitric oxide model from SCIAMACHY data
	Bender S.; Sinnhuber M.; Espy P.J.; Burrows J.P.
发表日期	2019
ISSN	16807316
起始页码	2135
结束页码	2147
卷号	19 期号:4
英文摘要	We present an empirical model for nitric oxide (NO) in the mesosphere (≈60-90km) derived from SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CHartoghraphY) limb scan data. This work complements and extends the NOEM (Nitric Oxide Empirical Model Marsh et al. 2004) and SANOMA (SMR Acquired Nitric Oxide Model Atmosphere Kiviranta et al., 2018) empirical models in the lower thermosphere. The regression ansatz builds on the heritage of studies by Hendrickx et al. (2017) and the superposed epoch analysis by Sinnhuber et al. (2016) which estimate NO production from particle precipitation. Our model relates the daily (longitudinally) averaged NO number densities from SCIAMACHY (Bender et al., 2017b, a) as a function of geomagnetic latitude to the solar Lyman- a and the geomagnetic AE (auroral electrojet) indices. We use a non-linear regression model, incorporating a finite and seasonally varying lifetime for the geomagnetically induced NO. We estimate the parameters by finding the maximum posterior probability and calculate the parameter uncertainties using Markov chain Monte Carlo sampling. In addition to providing an estimate of the NO content in the mesosphere, the regression coefficients indicate regions where certain processes dominate. © 2019 Author(s).
语种	英语
scopus关键词	atmospheric chemistry; modeling; nitric oxide; satellite data; SCIAMACHY
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144637
作者单位	Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway; Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany; Institute of Environmental Physics, University of Bremen, Bremen, Germany
推荐引用方式 GB/T 7714	Bender S.,Sinnhuber M.,Espy P.J.,et al. Mesospheric nitric oxide model from SCIAMACHY data[J],2019,19(4).
APA	Bender S.,Sinnhuber M.,Espy P.J.,&Burrows J.P..(2019).Mesospheric nitric oxide model from SCIAMACHY data.Atmospheric Chemistry and Physics,19(4).
MLA	Bender S.,et al."Mesospheric nitric oxide model from SCIAMACHY data".Atmospheric Chemistry and Physics 19.4(2019).