| 近30年北半球冬季臭氧总量分布特征及其与平流层温度的关系 |
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| 引用本文： | 李刚,谭言科,李崇银,陈书驰,白涛,杨道勇,张滢.近30年北半球冬季臭氧总量分布特征及其与平流层温度的关系[J].地球物理学报,2015,58(5):1475-1491. |
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| 作者姓名： | 李刚 谭言科 李崇银 陈书驰 白涛 杨道勇 张滢 |
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| 作者单位： | 1. 解放军理工大学气象海洋学院, 南京 211101;
2. 西昌卫星发射中心, 西昌 615000;
3. 中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室, 北京 100029;
4. 北京航天飞行控制中心, 北京 100000;
5. 中国人民解放军94188部队, 西安 710077 |
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| 基金项目： | 国家重点基础研究发展计划项目(2013CB956203)和国家自然科学基金项目(41475070)共同资助. |
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| 摘 要： | 臭氧的时空分布特征对气候和环境变化具有显著影响,随着臭氧资料数量的增加和质量的提高,有必要对臭氧时空分布特征及其与气候变化的关系进行详细研究.本文利用欧洲中期天气预报中心提供的1979—2013年的全球月平均臭氧总量资料、平流层温度场资料,采用旋转经验正交函数分解(REOF)、Morlet小波分析、合成分析等方法研究了20°N以北的北半球冬季(12—2月)臭氧总量异常的主要空间分布结构与时间演变特征,并进一步分析了主要模态与平流层上层(2hPa)、中层(30hPa)以及下层(100hPa)温度异常的关系.结果表明:近30年北半球冬季臭氧总量异常变化最显著的区域主要有5个,分别位于极地地区(75°N—90°N,0°—360°)、北半球副热带地区(20°N—40°N,0°—360°)、阿拉斯加地区(60°N—75°N,180°—260°E)、北大西洋地区(45°N—60°N,310°E—360°E)及西伯利亚地区(50°N—65°N,80°E—130°E).5个区域的冬季臭氧总量异常具有明显的年际和年代际变化特征.1980年代后期是各个区域的臭氧总量异常由年代际偏多转为偏少的转换时段.此外,各区域存在显著的年际变化周期,而且各个区域的年际周期存在明显的差异.臭氧总量异常变化与平流层温度异常变化的关系表明,臭氧总量异常的增加(减少)能够导致平流层上层温度异常偏冷(暖)和平流层中、下层温度异常偏暖(冷),其中平流层中层温度异常的偏暖(冷)程度要比下层更加明显.
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| 关 键 词： | 臭氧总量 平流层温度 分布特征 旋转经验正交函数 |
| 收稿时间： | 2014-09-11 |
The distribution characteristics of total ozone and its relationship with stratospheric temperature during boreal winter in the recent 30 years |
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| LI Gang,TAN Yan-Ke,LI Chong-Yin,Chen Shu-Chi,BAI Tao,YANG Dao-Yong,ZHANG Ying.The distribution characteristics of total ozone and its relationship with stratospheric temperature during boreal winter in the recent 30 years[J].Chinese Journal of Geophysics,2015,58(5):1475-1491. |
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| Authors: | LI Gang TAN Yan-Ke LI Chong-Yin Chen Shu-Chi BAI Tao YANG Dao-Yong ZHANG Ying |
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| Institution: | 1. College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;
2. Xichang Satellite Launch Center, Xichang 615000, China;
3. LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;
4. Beijing Aerospace Control Center, Beijing 100000, China;
5. No. 94188 Troops of PLA, Xi'an 710077, China |
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| Abstract: | It is well known that ozone is one of the most important trace gases in the atmosphere. Stratospheric ozone can directly affect levels of ultraviolet radiation reaching the Earth's surface and stratospheric temperature structure, while tropospheric ozone is an air pollutant, which is harmful to human health and ecosystems. Therefore, it can be inferred that ozone has a significant impact on the variability of climate and environment. As the increase of the high quality and quantity of ozone datasets, it is necessary to provide a detailed investigation of spatiotemporal distribution characteristics of total ozone and its relationship with climate variability. Besides, because most of ozone is observed in the stratosphere, it is also necessary to examine the relationship between ozone and stratospheric temperature.
Ozone and temperature data are taken from monthly mean European Center for Medium Range Weather Forecasting (ECMWF) reanalysis data (ERA-Interim) from 1979 to 2013. ERA-Interim has assimilated satellite observations (reprocessed Global Ozone Monitoring Experiment data from the Rutherford Appleton Laboratory provides ozone profile information from 1995 onwards) at a 2°×2° horizontal resolution and relatively high vertical resolution (37 levels). To study the general features of ozone, we first apply the empirical orthogonal function (EOF) to the ozone data. And then the rotated EOF (REOF) method is used to extract the dominant modes of ozone, meaning that the initial EOF modes are linearly transformed using the varimax method, which maximizes the variance of the squared correlation coefficients between the time series of each REOF mode and each original EOF mode. The method increases the spatial variability of the obtained modes. Besides, the continuous wavelet transform method is used to study the periodicity of the rotated principal components (RPC) time series. We use the Morlet wavelet in the current study.
The spatiotemporal structure of dominant total ozone pattern in the Northern Hemisphere (north of 20°N) during boreal winter is studied using REOF analysis and Morlet wavelet analysis. Besides, the relationship of the dominant total ozone pattern with the temperature anomalies in the upper (2 hPa), middle (30 hPa) and lower (100 hPa) stratosphere is further studied using composite analysis. The results show that the variability of total ozone in the Northern Hemisphere during boreal winter is characterized by five significant dominant patterns during the recent 30 years (1979—2013). The first REOF mode accounts for 34.5% of the total variance. It is centred mainly in the Arctic region (75°N—90°N,0°—360°). The ozone of this region decreases during 1979—1995, while increases during 1995—2001. However, the ozone of this region shows significant interannual time scale since 2002. The local wavelet power spectrum analysis shows that the power spectrum of the normalized RPC1 has high power in about 3 year for the period 1983—1993 and about 2~7 year for the period 1990—2005. The second mode is centred in the subtropics of Northern Hemisphere (20°N—40°N,0°—360°), accounting for 32% of the total variance. The ozone in this region is above normal during the period 1979—1995 but below normal thereafter. The power spectrum of RPC2 shows high power in about 2~3 year for the period 1983—2000. The third REOF mode is centred in the Alaska region (60°N—75°N,180°—260°E), accounting for 10% of the total variance. The ozone in this region is above normal during 1979—1985, while below normal during 1985—1995. After 2000, it shows interannual variability. The power spectrum of RPC3 shows high power in about 2~8 year for the period 1990—2000. The fourth REOF mode is centred in the North Atlantic region (45°N—60°N,310°E—360°E), accounting for 5.6% of the total variance. The ozone in this region is above normal during 1979—1990, while below normal during 1991—2005. It shows interannual variability to some extent since 2005. The power spectrum of RPC4 shows high power in about 2~3 year during 1979—1984, 1989—1995 and 2005—2012. The fifth REOF mode is centred in the Siberia region (50°N—65°N,80°E—130°E). The ozone in this region is above normal during 1979—1987 and 2002—2012, while below normal during 1988—2002. The power spectrum of RPC5 shows high power in about 2~4 year during 1985—1995. On the other hand, it also shows high power in about 5~7 year during 1985—2003. The relationship between the dominant total ozone patterns and the stratospheric temperature indicates that, when the total ozone is increased (reduced), the upper stratosphere will be cooled (warmed), while the middle and lower stratosphere will be warmed (cooled). Furthermore, the middle stratosphere is warmer (cooler) than the lower stratosphere.
The results of this study show that the five dominant REOF modes show significant variability on the interannual and interdecadal time scales. On the interdecadal timescale, the total ozone over these five regions is above normal before late 1980, whereas less than normal during the period of 1990—2000. On the interannual time scale, total ozone over the five regions shows pronounced periodicity. In addition, their periodicities show significant difference. We have also examined the relationship between total ozone and stratospheric temperature. It is suggested that the upper stratospheric temperature has out-of-phase relationship with total ozone, while the middle and lower stratospheric temperature has in-phase relationship with total ozone. This study focuses only on the DJF season (boreal winter) simply because it is an important season for ozone in the Northern Hemisphere. However, the seasonality of the total ozone in the Northern Hemisphere and related impact on stratospheric and tropospheric climate is the major focus of a following study that is underway. Finally, we have only studied the relationship between the total ozone and stratospheric temperature based on analysis of observations. Therefore, further study using simulations in numerical model is needed to fully understand the mechanism by which the total ozone influences the stratospheric temperature. |
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| Keywords: | Total ozone Stratospheric temperature Distribution characteristics Rotated empirical orthogonal function (REOF) |
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