气候变化领域集成服务门户(CCPortal): Effects of reanalysis forcing fields on ozone trends and age of air from a chemical transport model

CCPortal

DOI	10.5194/acp-22-10635-2022
	Effects of reanalysis forcing fields on ozone trends and age of air from a chemical transport model
	Li, Yajuan; Dhomse, Sandip S.; Chipperfield, Martyn P.; Feng, Wuhu; Chrysanthou, Andreas; Xia, Yuan; Guo, Dong
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	10635
结束页码	10656
卷号	22 期号:16 页码:22
英文摘要	We use TOMCAT, a 3-dimensional (3D) offline chemical transport model (CTM) forced by two different meteorological reanalysis data sets (ERA-Interim and ERAS) from the European Centre for MediumRange weather Forecasts (ECMWF) to analyse seasonal behaviour and long-term trends in stratospheric ozone and mean age of air. The model-simulated ozone variations are evaluated against two observation-based data sets. For total column ozone (TCO) comparisons, we use the Copernicus Climate Change Service (C3S) data (1979-2019), while for ozone profiles we use the Stratospheric Water and OzOne Satellite Homogenized (SWOOSH) data set (1984-2019). We find that the CTM simulations forced by ERA-Interim (A_ERAI) and ERA5 (B_ERA5) can both successfully reproduce the spatial and temporal variations in stratospheric ozone. Also, modelled TCO anomalies from B_ERA5 show better agreement with C3S than A_ERAI, especially in Northern Hemisphere (NH) mid latitudes, except that it gives somewhat larger positive biases (> 15 DU, Dobson units) during winter-spring seasons. Ozone profile comparisons against SWOOSH data show larger differences between the two simulations. In the lower stratosphere, ozone differences can be directly attributed to the representation of dynamical processes, whereas in the upper stratosphere they can be directly linked to the differences in temperatures between ERAI and ERA5 data sets. Although TCO anomalies from B_ERA5 show relatively better agreement with C3S compared to A_ERAI, a comparison with SWOOSH data does not confirm that B_ERA5 performs better at simulating the variations in the stratospheric ozone profiles. We employ a multivariate regression model to quantify the TCO and ozone profile trends before and after peak stratospheric halogen loading in 1997. Our results show that, compared to C3S, TCO recovery trends (since 1998) in simulation B_ERAS are significantly overestimated in the Southern Hemisphere (SH) mid latitudes, while for A_ERAI in the NH mid latitudes, simulated ozone trends remain negative. Similarly, in the lower stratosphere, B_ERAS shows positive ozone recovery trends for both NH and SH mid latitudes. In contrast, both SWOOSH and A_ERAI show opposite (negative) trends in the NH mid latitudes. Furthermore, we analyse age of air (AoA) trends to diagnose transport differences between the two reanalysis data sets. Simulation B_ERAS shows a positive AoA trend after 1998 and somewhat older age in the NH lower stratosphere compared to A_ERAI, indicating that a slower Brewer-Dobson circulation does not translate into reduced wintertime ozone buildup in the NH extratropical lower stratosphere. Overall, our results show that models forced by the most recent ERAS reanalyses may not yet be capable of reproducing observed changes in stratospheric ozone, particularly in the lower stratosphere.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000842961400001
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/273195
作者单位	Nanjing Xiaozhuang University; University of Leeds; University of Leeds; UK Research & Innovation (UKRI); Natural Environment Research Council (NERC); NERC National Centre for Atmospheric Science; University of Leeds; Nanjing University of Information Science & Technology; Nanjing University of Information Science & Technology; Nanjing University of Information Science & Technology
推荐引用方式 GB/T 7714	Li, Yajuan,Dhomse, Sandip S.,Chipperfield, Martyn P.,et al. Effects of reanalysis forcing fields on ozone trends and age of air from a chemical transport model[J],2022,22(16):22.
APA	Li, Yajuan.,Dhomse, Sandip S..,Chipperfield, Martyn P..,Feng, Wuhu.,Chrysanthou, Andreas.,...&Guo, Dong.(2022).Effects of reanalysis forcing fields on ozone trends and age of air from a chemical transport model.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(16),22.
MLA	Li, Yajuan,et al."Effects of reanalysis forcing fields on ozone trends and age of air from a chemical transport model".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.16(2022):22.