根据Dobson和TOMS资料分析北京和昆明大气臭氧总量变化特征

用约２０年 Ｄｏｂｓｏｎ和ＴＯＭＳ资料来分析北京（３９.９３°Ｎ，１１６.４０°Ｅ）和昆明 （２５.０２°Ｎ，１０２．６８°）两地大气臭氧总量的变化特征，结果表明：（１）在１９７９－２０００年间北京大气臭氧长期变化趋势是－０．６４２ ＤＵ／年，而昆明在１９８０－２０００年间的趋势是－０.００９ ＤＵ／年；（２）北京和昆明两地大气臭氧都有很强的季节内变化（尤其冬季更强），与季节性变化强度相当；（３）在北京和昆明，由记录较短的大气臭氧资料分析得到的长期变化趋势，与较长记录得到的结果有显著差异；（４）在北京（中纬度）和昆明（低纬度）大气臭氧都有显著的准两年振荡信号；（５）两个站点大气臭氧的年际变化主要由长期趋势项和准两年振荡信号组成；（６）Ｄｏｂｓｏｎ仪测量得到的臭氧总量与ＴＯＭＳ资料非常一致。     

北极楚克奇海上空臭氧垂直变化的探测与分析

1999年夏季,中国首次组织北极地区科学考察.分析此次考察中楚克奇海海域上空获得的大气结构和臭氧探空资料,结合臭氧总量观测光谱仪(TOMS)臭氧总量和NCEP大气环流资料,指出:考察期间楚克奇海海域上空臭氧总量与13 km以下臭氧含量关系密切,而在20 km附近最大臭氧浓度处的臭氧变化与大气臭氧总量关系较差,表明整层臭氧总量的变化主要受低层大气臭氧变化的影响.大气臭氧总量呈高-低-高变化,对流层顶高度呈低-高-低变化,分析500hPa高度场表明:考察期间的天气系统可能是造成局地臭氧变化的主要原因.     

北极臭氧垂直分布和天气尺度变化的观测研究

北极地区臭氧对北极气候和环境系统起着重要作用。研究其分布和变化有助于了解北极的气候和环境及其对全球气候系统的影响,有助于气候和环境变化的数值预报。中国北极科学探测1999在北冰洋楚可奇海域成功的进行了大气臭氧观测。通过在中国“雪龙”号破冰船甲板上（于1999年8月18-24日在75°N,160°W附近处）释放大气臭氧探空仪获得了高分辨率的大气垂直结构和臭氧分布资料,可以进行大气尺度的大气臭氧变化研究。分析大气监测资料、TOMS臭氧总量资料和NCEP大气环流资料表明,大气臭氧总量随着对流层顶的低一高一低变化呈高一低一高的变化过程。研究还表明,大气柱的臭氧总量与13公里以下的大气臭氧含量关系密切,而在约20公里处的大气臭氧浓度最大值的变化与整个气柱臭氧的关系不大。500 hPa天气形势图上一个弱一强一弱的西南天气型造成的弱臭氧平流可能是这次臭氧变化的主要原因。     

斯堪的纳维亚上空的臭氧亏损与北大西洋海温

利用TOMS臭氧资料和NCAR/NCEP再分析海温资料，分析研究了斯堪的纳维亚地区的臭氧亏损状况及其季节变化规律，指出在斯堪的纳维亚地区上空存在一个严重的臭氧亏损区。该臭氧亏损有明显的季节变化:冬季最强，夏季最弱。同时研究了北大西洋海温分布和季节变化，指出其与斯堪的纳维亚地区臭氧亏损有极好的负相关。因此，认为可以用北大西洋海温的季节变化来估计斯堪的纳维亚地区气候尺度的臭氧亏损变化。     

香河地基观测臭氧柱总量数据分析及臭氧变化趋势研究

大气臭氧变化在全球气候和环境中具有重要作用,是当今大气科学领域的重要研究对象之一。对比分析了中国科学院大气物理研究所河北香河大气综合观测试验站2014～2016年Dobson和Brewer两种臭氧总量观测仪器探测结果的一致性,并使用1979～2016年Dobson观测数据分析了香河地区臭氧总量的长期变化趋势。结果表明:进行有效温度修正后,两种臭氧总量仪器观测结果一致性较好,平均偏差仅为-0.14DU(多布森单位),平均绝对偏差为8.00 DU,标准差为36.09 DU,相关系数达0.964。整体来说,两类仪器观测臭氧总量吻合较好。SO2浓度对Dobson仪器数据精度有一定影响,两组仪器数据在SO2浓度为0～0.2DU、0.2～0.4DU和0.4DU大气条件情况下的平均偏差分别为4.8 DU、7.0 DU和8.0 DU,平均偏差随SO2浓度升高而增大。过去38年香河地区的臭氧总量季节差异性强,春、冬两季臭氧总量高,夏、秋两季臭氧总量相对低,季节变化趋势差异明显。从长期变化上看,臭氧总量变化波动有不同的周期,在4个大的时间段变化趋势不同,2000～2010年臭氧层有显著恢复,但最近几年又有变薄的趋势。     

地基与星载仪器观测大气臭氧总量分析

本文选取多个臭氧总量观测站点,采用"三重制约法"分别对下列3组仪器观测臭氧总量数据进行统计分析,解算出不同观测资料的误差标准差,进而对比研究各种仪器的精度特征:1)1996~2003年期间地基WOUDC(World Ozone and Ultraviolet Radiation Data Centre)观测网络仪器(包括Brewer、Dobson和Filter臭氧测量仪)与星载TOMS(Total Ozone Mapping Spectrometer)和GOME(The Global Ozone Monitoring Experiment)仪器;2)2004~2013年期间WOUDC与星载OMI(ozone monitoring instrument)和SCIAMACHY(scanning imaging absorption spectrometer for atmospheric chartography)仪器;3)2004~2013年期间地基SAOZ(Système D’Analyse par Observations Zénithales)与星载OMI和SCIAMACHY仪器。结果表明,1996~2003年期间TOMS V8和GOME观测精度相当,分别为7.6±2.8 DU/46(其中,7.6±2.8 DU为所分析站点观测资料的平均精度及其标准差,46为站点数目)和7.6±1.5 DU/46。TOMS V8观测精度优于TOMS V7(8.5±3.0 DU/46),验证了前者对后者有所改进。2004~2013年期间OMI和SCIAMACHY在WOUDC地基站点观测精度接近,分别为6.6±1.4 DU/21和6.0±1.6 DU/21。SAOZ地基仪器精度为8.4±3.6 DU/8。对于3类WOUDC地基仪器,Brewer站点观测资料的平均精度最优(7.9±3.3 DU/12),Dobson次之(8.7±2.3 DU/19),Filter最差(14.7±4.0 DU/15)。相比于卫星,3种地面仪器观测平均精度较差(10.5±4.3 DU/46),这主要是由于Filter精度较差引起。中国境内的瓦里关(Brewer)、香河(Dobson)和昆明(Dobson)3个地基站点仪器观测精度均较优,分别为7.8 DU、6.7 DU和6.6 DU。尽管不同站点之间存在一定差异,但整体来说,地基与卫星仪器在中国境内3个站点观测臭氧总量吻合较好。     

中国4个地点地基与卫星臭氧总量长期观测比较

对我国河北香河、云南昆明、青海瓦里关及黑龙江龙凤山地基观测臭氧总量与不同时期、不同卫星反演的产品差别特点进行比较,评估地基和卫星观测臭氧总量数据的质量信息以及近30年来我国不同区域臭氧总量的变化趋势特征。结果表明:4个站点的地基与卫星观测臭氧总量的绝对和相对差别分别为-5~10 DU和-5%~4%;日平均相对差别基本上呈现随机分布特征。TOMS算法反演的卫星臭氧总量与地基差别总体上要优于与DOAS算法反演的同期产品。地基与卫星臭氧总量差别呈明显的区域特点,可能反映了卫星反演计算中所需的臭氧、温度垂直分布等初始条件的纬度分布差异对卫星产品精度的影响。在过去30年,4个站点的臭氧总量在经历1993年前的显著降低后于1995—1996年逐渐回升,而瓦里关站在2001年前后的回升更为明显。     

OZONE VALLEY OVER TIBETAN PLATEAU*

We analysed the atmospheric total column ozone temporal and spatial distributions,by using the USA Nimbus Satellite TOMS data provided by the Goddard Space Flight Center of NASA,USA.We ploted the monthly mean total column ozone distributions over China by the averaged data from 1979 to 1991,and found that the atmospheric total column ozone contours were parallel to latitudes in winter and spring. However, from June, the lower center of atmospheric column ozone, called "ozone valley",was formed gradually over the Tibetan Plateau, as shown in Fig.     

The regional distribution of tropospheric ozone in East Asia from satellite-based measurements

Estimates of tropospheric ozone in the East Asian region were obtained using the TOMS and SAGE II satellite data sets through the application of residual analysis on a regional scale. The resulting tropospheric residual ozone shows seasonal variability with highest values in spring and summer. Latitudinal variations give indications of possible input to the tropospheric ozone column from anthropogenic activity. A strong correlation between residual and TOMS total ozone data during summer time suggests a significant level of photochemical ozone production in this region during this period. Comparisons are made with surface ozone measurements from remotely located sites in Japan and show a similar overall pattern.     

A Climate Prediction Method Based on EMD and Ensemble Prediction Technique

Observed climate data are processed under the assumption that their time series are stationary, as in multi-step temperature and precipitation prediction, which usually leads to low prediction accuracy. If a climate system model is based on a single prediction model, the prediction results contain significant uncertainty. In order to overcome this drawback, this study uses a method that integrates ensemble prediction and a stepwise regression model based on a mean-valued generation function. In addition, it utilizes empirical mode decomposition (EMD), which is a new method of handling time series. First, a non-stationary time series is decomposed into a series of intrinsic mode functions (IMFs), which are stationary and multi-scale. Then, a different prediction model is constructed for each component of the IMF using numerical ensemble prediction combined with stepwise regression analysis. Finally, the results are fit to a linear regression model, and a short-term climate prediction system is established using the Visual Studio development platform. The model is validated using temperature data from February 1957 to 2005 from 88 weather stations in Guangxi, China. The results show that compared to single-model prediction methods, the EMD and ensemble prediction model is more effective for forecasting climate change and abrupt climate shifts when using historical data for multi-step prediction.     

大尺度山地上空的臭氧低值及地面加热

首次利用Ｎｉｍｂｕｓ－７卫星上搭载的臭氧观测光谱仪（ＴＯＭＳ）资料,分析研究了大尺度山地（青藏高原、洛基山脉和安第斯山脉）上空臭氧总量的分布和季节变化规律,指出了大尺度山地对大气臭氧的减少作用。从全球大气臭氧总量分布和纬向偏差分布可以看出：在上述３个大尺度山地上空均存在着明显的臭氧低值扰动,该扰动区夏季强于冬季。在这３个区域中,青藏高原上空的臭氧低值扰动为最强。分析同时指出：上述大尺度山地上空臭氧季节变化的极小值在秋季,极大值在春季。但上述地区臭氧总量与同纬度其它地区臭氧总量的偏差在春季或初夏达到极小值。为分析这种大尺度山地对臭氧减少作用的原因,本文分析了青藏高原地面热源与臭氧总量的关系,指出：大尺度山地表面对大气的加热与该地区臭氧减少之间存在着良好的反相关;在地面对大气的感热加热、潜热加热和有效长波辐射加热中,以感热加热与臭氧减少的关系为最好。     

A comparison of global tropospheric teleconnections using observed satellite and general circulation model total ozone column data for 1979–91

 The total ozone column is well correlated with tropospheric fields such as the heights of the upper tropospheric geopotential surfaces and thus it can provide useful information on temporal variability in the troposphere. The global availability of long period satellite measurements of the total ozone column, taken by the TOMS instruments since 1978, provides a valuable and independent data set for use in studies of seasonal and interannual climate variability. In this study, the global low-frequency seasonal teleconnections in the observed TOMS data from 1979–91 have been investigated using seasonal teleconnectivity maps and empirical orthogonal function analysis. They have also been compared with the results from a simulation made with the atmospheric GCM at Météo-France, having prescribed observed sea surface temperatures for the same period. In the observed total ozone, strong ENSO-related wave number one longitudinal dipole patterns are seen in both the tropics and in the Southern Hemisphere extratropics. The model shows much weaker variability in total ozone yet appears to be able to capture similar teleconnection patterns in the tropics related to ENSO. In the SH extratropics, the model total ozone shows a strong wave number 3 response rather than the wave number one dipole seen in the observations. A wave number 3 response is also evident in the 200 hPa geopotential height simulated by the model and in the NCEP analysis, and is consistent with the response in a linearised barotropic model forced in the Indonesian region. The different responses in the modelled and observed total ozone, suggest that tropopause effect is not the major factor in the SH extratropics, and it is likely that horizontal ozone transport also plays a role in this region. Despite a generally poor simulation of the zonal mean total ozone, the model was able to capture the anomalous strengthening of the SH stationary waves during austral spring of 1988, related to an intense stratosphere sudden warming. Received: 21 October 1996 / Accepted: 11 September 1997     

基于EMD 和集合预报技术的气候预测方法

气候系统是典型的非平稳性系统,然而对于气候观测数据的处理通常是在时间序列平稳的假定下完成的,比如气温和降水的多步预报,这通常会导致预报准确度较低。为改进该缺陷,首先将非平稳数据序列分解成平稳的、多尺度特征的本征模态函数分量(IMF),再使用数值集合预报与逐步回归分析相结合的方式对每一个IMF 分量构建不同的预报模型,最后线性拟合成预报结果。通过Visual Studio 2008 开发平台使用上述方法建立了一个短期气候预报系统,采用广西区88 个气象站1957—2005 年的2 月距平气温数据进行实际验证。结果表明,相对于普通预测和单一预测方法,加入了EMD 和集合预报技术的方法在仅用历史资料进行多步预测的情况下,对于气候的变化趋势以及突发性气候具有更好的预报能力。      

近30a北极平流层臭氧的季节和年际变化特征

综合利用1978-2011年TOMS（Total Ozone Mapping Spectrometer）和OMI（Ozone Monitoring Instrument）臭氧总量资料,MLS（Microwave Limb Sounder）臭氧廓线资料以及NCEP/NCAR再分析气象场资料,对比研究了近30a南北极臭氧总量的年际变化和季节变化差异,重点分析了2010/2011年冬末春初北极臭氧出现的异常损耗现象,探讨北极春季臭氧低值产生的原因。结果表明：与南极地区一年四季都保持一个臭氧低值中心明显不同,北极臭氧总量的减少则是伴随着整个春夏季（4-8月）,在秋季（10月）达到最低值,冬季（11月-次年2月）北极臭氧快速恢复,这主要是由于南北半球极地地区环流差异和温度差异造成的。南北两极年均O3总量呈下降趋势,两极地区O3总量年际变化最大的季节是春季。近30a,北极在1997和2011年春季（3-4月）分别达到极低值355DU和361DU,但近年来两极臭氧年际变化趋势不明显。2011年春季,北极地区出现的较严重臭氧低值现象从3月中旬至4月中旬持续了近1个月,2010/2011年冬春季平流层低温和臭氧低值对应关系很好。     

Metoz: Total ozone from meteorological parameters

Abstract

On the basis of two well‐known ozone‐weather relationships, an algorithm is proposed that estimates total ozone amounts using readily available meteorological information. The technique has been labelled METOZ from Meteorological Total Ozone. A rationale and derivation of the technique is presented.

METOZ total ozone amounts were generated for Toronto and Edmonton locations and compared with ground‐based Brewer spectrophotometer measures for these two stations in the Canadian ozone monitoring network for data from January to April 1989. Per cent differences between METOZ and Brewer total ozone measurements were calculated and are presented.

This mid‐latitude wînter metoz algorithm was also used to produce a hemispherical total ozone field for 16 March 1986, which was compared with the corresponding TOMS data to demonstrate other potential applications of the technique.     

The Tibetan Ozone Low and Its Long-Term Variation During 1979–2010

A Tibetan ozone low was found in the 1990s after the Antarctic ozone hole.Whether this ozone low has been recovering from the beginning of the 2000s following the global ozone recovery is an intriguing topic.With the most recent merged TOMS/SBUV(Total Ozone Mapping Spectrometer/Solar Backscatter Ultra Violet) ozone data,the Tibetan ozone low and its long-term variation during 1979-2010 are analyzed using a statistical regression model that includes the seasonal cycle,solar cycle,quasi-biennial oscillation(QBO),ENSO signal,and trends.The results show that the Tibetan ozone low maintains and may become more severe on average during 1979-2010,compared with its mean state in the periods before 2000,possibly caused by the stronger downward trend of total ozone concentration over the Tibet.Compared with the ozone variation over the non-Tibetan region along the same latitudes,the Tibetan ozone has a larger downward trend during 1979-2010,with a maximum value of-0.40±0.10 DU yr 1 in January,which suggests the strengthening of the Tibetan ozone low in contrast to the recovery of global ozone.Regression analyses show that the QBO signal plays an important role in determining the total ozone variation over the Tibet.In addition,the long-term ozone variation over the Tibetan region is largely affected by the thermal-dynamical proxies such as the lower stratospheric temperature,with its contribution reaching around 10% of the total ozone change,which is greatly different from that over the non-Tibetan region.     

近46a山东菏泽日照变化特征及影响因子

利用1965～2010年菏泽日照、云量、雾（轻雾）、相对湿度、降水等资料,采用气候倾向率、9点2次平滑、突变检验、回归分析等统计方法,分析了近46a菏泽日照时数变化特征及影响因子。结果表明：近46a菏泽日照时数极显著减少,平均每10a减少121．66h;夏季和秋季极显著减少,冬季显著减少,春季减少趋势不显著;减少趋势最大的是8月。1981年是菏泽日照时数减少突变的时间点,也是日照时数由正距平优势向负距平优势的转折点。年日照时数与总云量、相对湿度和轻雾日数呈极显著负相关,与雾日数呈弱显著负相关;四季日照时数除夏季与雾日数负相关不显著外,均与平均总云量、相对湿度、雾和轻雾日数、降水量和降水日数呈显著负相关。影响菏泽年和春、夏季日照时数变化的主要因子为总云量、相对湿度和雾,秋季主要因子为总云量、雾和降水日数,冬季主要因子为总云量、相对湿度和降水日数。     

Study on Atmospheric Ozone in East Asia with Satellite Observation

ＳｔｕｄｙｏｎＡｔｍｏｓｐｈｅｒｉｃＯｚｏｎｅｉｎＥａｓｔＡｓｉａｗｉｔｈＳａｔｅｌｌｉｔｅＯｂｓｅｒｖａｔｉｏｎＺｈａｏＢｏｌｉｎ（赵柏林）；ＬｉＷａｎｂｉａｏ（李万彪）ａｎｄＺｈｕＹｕａｎｊｉｎｇ（朱元竞）（ＤｅｐａｒｔｍｅｎｔｏｆＧｅｏｐｈｙｓ...     

平流层大气臭氧含量变化特征

利用卫星观测臭氧总含量TOMS（第7版）资料，分析了平流层臭氧含量的变化特征，结果表明，全球臭氧总含量呈下降趋势，准两年振荡是臭氧变化中除年周期外的最显著的变化周期。     

川东北地区大春季农业气候资源的年代际变化特征分析

以1961~2008年川东北地区21个气象站的气象资料为基础,对大春生长季农业气候资源要素进行统计分析,并应用M ann-Kendall方法对各资源要素的突变性进行了检测。结果表明,≥10℃初日呈提前趋势;≥20℃终日、≥22℃终日均呈推迟趋势;界限温度内积温随年际增加,降水随年际变化不大,日照时数随年际减少;各农业气候资源除日照外均没有发生较明显突变,86%的地区的日照时数在1980年左右发生了减少型突变。这些变化必将影响到农业生产的布局和结构,为更加合理利用农业气候资源和应对气候变化提供科学依据。