气候变化领域集成服务门户(CCPortal): A convolution of observational and model data to estimate age of air spectra in the northern hemispheric lower stratosphere

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DOI	10.5194/acp-20-8763-2020
	A convolution of observational and model data to estimate age of air spectra in the northern hemispheric lower stratosphere
	Hauck M.; Bönisch H.; Hoor P.; Keber T.; Ploeger F.; Schuck T.J.; Engel A.
发表日期	2020
ISSN	1680-7316
起始页码	8763
结束页码	8785
卷号	20 期号:14
英文摘要	Derivation of mean age of air (AoA) and age spectra from atmospheric measurements remains a challenge and often requires output from atmospheric models. This study tries to minimize the direct influence of model output and presents an extension and application of a previously established inversion method to derive age spectra from mixing ratios of long-and short-lived trace gases. For a precise description of cross-tropopause transport processes, the inverse method is extended to incorporate air entrainment into the stratosphere across the tropical and extratropical tropopause. We first use simulations with the Chemical Lagrangian Model of the Stratosphere (CLaMS) to provide a general proof of concept of the extended principle in a controllable and consistent environment, where the method is applied to an idealized set of 10 trace gases with predefined constant lifetimes and compared to reference model age spectra. In the second part of the study we apply the extended inverse method to atmospheric measurements of multiple long-and short-lived trace gases measured aboard the High Altitude and Long Range (HALO) research aircraft during the two research campaigns POLSTRACC-GWLCYCLE-SALSA (PGS) and Wave-driven Isentropic Exchange (WISE). As some of the observed species undergo significant loss processes in the stratosphere, a Monte Carlo simulation is introduced to retrieve age spectra and chemical lifetimes in stepwise fashion and to account for the large uncertainties. Results show that in the idealized model scenario the inverse method retrieves age spectra robustly on annual and seasonal scales. The extension to multiple entry regions proves reasonable as our CLaMS simulations reveal that in the model between 50 % and 70 % of air in the lowermost stratosphere has entered through the extratropical tropopause (30-90? N and S) on annual average. When applied to observational data of PGS and WISE, the method derives age spectra and mean AoA with meaningful spatial distributions and quantitative range, yet large uncertainties. Results indicate that entrainment of fresh tropospheric air across both the extratropical and tropical tropopause peaked prior to both campaigns, but with lower mean AoA for WISE than PGS data. The ratio of moments for all retrieved age spectra for PGS and WISE is found to range between 0.52 and 2.81 years. We conclude that the method derives reasonable and consistent age spectra using observations of chemically active trace gases. Our findings might contribute to an improved assessment of transport with age spectra in future studies. © 2020 Author(s).
语种	英语
scopus关键词	atmospheric chemistry; atmospheric transport; data set; estimation method; future prospect; Northern Hemisphere; stratosphere; trace gas; Bivalvia
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/247625
作者单位	Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt Am Main, Frankfurt am Main, Germany; Institute for Energy and Climate Research: Stratosphere (IEK-7), Forschungszentrum Jülich, Jülich, Germany; Institute for Atmospheric and Environmental Research, University of Wuppertal, Wuppertal, Germany; Institute for Atmospheric Physics, Johannes Gutenberg University Mainz, Mainz, Germany; Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research-Atmospheric Trace Gases and Remote Sensing, Eggenstein-Leopoldshafen, Germany
推荐引用方式 GB/T 7714	Hauck M.,Bönisch H.,Hoor P.,et al. A convolution of observational and model data to estimate age of air spectra in the northern hemispheric lower stratosphere[J],2020,20(14).
APA	Hauck M..,Bönisch H..,Hoor P..,Keber T..,Ploeger F..,...&Engel A..(2020).A convolution of observational and model data to estimate age of air spectra in the northern hemispheric lower stratosphere.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(14).
MLA	Hauck M.,et al."A convolution of observational and model data to estimate age of air spectra in the northern hemispheric lower stratosphere".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.14(2020).