气候变化领域集成服务门户(CCPortal): Study of the dependence of long-term stratospheric ozone trends on local solar time

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DOI	10.5194/acp-20-8453-2020
	Study of the dependence of long-term stratospheric ozone trends on local solar time
	Maillard Barras E.; Haefele A.; Nguyen L.; Tummon F.; Ball W.T.; Rozanov E.V.; Rüfenacht R.; Hocke K.; Bernet L.; Kämpfer N.; Nedoluha G.; Boyd I.
发表日期	2020
ISSN	1680-7316
起始页码	8453
结束页码	8471
卷号	20 期号:14
英文摘要	Reliable ozone trends after 2000 are essential to detect early ozone recovery. However, the long-term groundbased and satellite ozone profile trends reported in the literature show a high variability. There are multiple reasons for variability in the reported long-term trends such as the measurement timing and the dataset quality. The Payerne Switzerland microwave radiometer (MWR) ozone trends are significantly positive at 2% to 3% per decade in the upper stratosphere (5-1 hPa, 35-48 km), with a high variation with altitude. This is in accordance with the Northern Hemisphere (NH) trends reported by other groundbased instruments in the SPARC LOTUS project. In order to determine what part of the variability between different datasets comes from measurement timing, Payerne MWR and SOCOL v3.0 chemistry-climate model (CCM) trends were estimated for each hour of the day with a multiple linear regression model. Trends were quantified as a function of local solar time (LST). In the middle and upper stratosphere, differences as a function of LST are reported for both the MWR and simulated trends for the post-2000 period. However, these differences are not significant at the 95% confidence level. In the lower mesosphere (1-0.1 hPa, 48-65 km), the 2010-2018 day- A nd nighttime trends have been considered. Here again, the variation in the trend with LST is not significant at the 95% confidence level. Based on these results we conclude that significant trend differences between instruments cannot be attributed to a systematic temporal sampling effect. The dataset quality is of primary importance in a reliable trend derivation, and multi-instrument comparison analyses can be used to assess the long-term stability of data records by estimating the drift and bias of instruments. The Payerne MWR dataset has been homogenized to ensure a stable measurement contribution to the ozone profiles and to take into account the effects of three major instrument upgrades. At each instrument upgrade, a correction offset has been calculated using parallel measurements or simultaneous measurements by an independent instrument. At pressure levels smaller than 0.59 hPa (above ∼ 50 km), the homogenization corrections to be applied to the Payerne MWR ozone profiles are dependent on LST. Due to the lack of reference measurements with a comparable measurement contribution at a high time resolution, a comprehensive homogenization of the sub-daily ozone profiles was possible only for pressure levels larger than 0.59 hPa. The ozone profile dataset from the Payerne MWR, Switzerland, was compared with profiles from the GROMOS MWR in Bern, Switzerland, satellite instruments (MLS, MIPAS, HALOE, SCHIAMACHY, GOMOS), and profiles simulated by the SOCOL v3.0 CCM. The long-term stability and mean biases of the time series were estimated as a function of the measurement time (day- A nd nighttime). The homogenized Payerne MWR ozone dataset agrees within ±5% with the MLS dataset over the 30 to 65 km altitude range and within ±10% of the HARMonized dataset of OZone profiles (HARMOZ, limb and occultation measurements from ENVISAT) over the 30 to 65 km altitude range. In the upper stratosphere, there is a large nighttime difference between Payerne MWR and other datasets, which is likely a result of the mesospheric signal aliasing with lower levels in the stratosphere due to a lower vertical resolution at that altitude. Hence, the induced bias at 55 km is considered an instrumental artifact and is not further analyzed. © 2020 Author(s).
语种	英语
scopus关键词	atmospheric chemistry; Northern Hemisphere; ozone; stratosphere; trend analysis; Bern [Switzerland]; Switzerland
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/141211
作者单位	Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne, Switzerland; ISE, Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland; Institute for Atmospheric and Climate Science, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland; Physikalisch-Meteorologisches Observatorium, Davos World Radiation Centre, Davos, Switzerland; Institute of Applied Physics, Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland; Naval Research Laboratory, Washington, DC, United States; BC Scientific Consulting LLC, Dunedin, New Zealand
推荐引用方式 GB/T 7714	Maillard Barras E.,Haefele A.,Nguyen L.,et al. Study of the dependence of long-term stratospheric ozone trends on local solar time[J],2020,20(14).
APA	Maillard Barras E..,Haefele A..,Nguyen L..,Tummon F..,Ball W.T..,...&Boyd I..(2020).Study of the dependence of long-term stratospheric ozone trends on local solar time.Atmospheric Chemistry and Physics,20(14).
MLA	Maillard Barras E.,et al."Study of the dependence of long-term stratospheric ozone trends on local solar time".Atmospheric Chemistry and Physics 20.14(2020).