1979-2008年华北地区对流层顶高度变化特征

利用1979-2008年华北地区12个测站逐日对流层顶探空资料,运用统计学方法对该地区不同类别对流层顶发生及其高度的季节特征进行探讨,并采用线性趋势、小波分析和EOF分解等方法对其高度变化等气候特征进行分析,揭示了该地区对流层顶的季节特征及其高度变化的基本事实和规律.结果表明:华北地区第一对流层顶冬季出现多,夏季少,近...     

半个世纪以来鞍山市春夏季降水的变化特征

利用1951～2004年计54 a鞍山市逐年春夏季降水资料,采用线性趋势估计法、小波分析方法等统计学方法,分析了鞍山市半个世纪以来春夏季降水的变化特征。结果表明:鞍山市春季降水线性变化趋势为增加趋势,其线性变率为2 mm/10 a,夏季降水线性变化趋势为减少趋势,其线性变率为5 mm/10 a,并且从80年代开始春夏季降水的不稳定性开始增强。春季降水存在着4～6 a和16～18 a的主要变化周期,夏季降水有18～20 a和6～8 a的主要变化周期,各周期变化在不同时期起着主导作用。     

影响我国热带气旋活动的气候特征及其与太平洋海温的关系

基于小波包分解重构方法，利用NCEP／NCAR逐丑再分析资料，讨论了南亚夏季风与季内西太平洋副高活动的关系，提出和定义了用以诊断副高活动的夏季风频域能量判据。诊断结果除佐证了副高已有的一些研究结果和变化规律外，还揭示出副高与季风间一些新的关系特征。     

Quantifying Organization of Atmospheric Turbulent Eddy Motion Using Nonlinear Time Series Analysis

Using three methods from nonlinear dynamics, we contrast the level of organization inthe vertical wind velocity (w) time series collected in the atmospheric surface layer(ASL) and the canopy sublayer (CSL) for a wide range of atmospheric stability ()conditions. The nonlinear methods applied include a modified Shannon entropy, waveletthresholding, and mutual information content. Time series measurements collected overa pine forest, a hardwood forest, a grass-covered forest clearing, and a bare soil, desertsurface were used for this purpose. The results from applying all three nonlinear timeseries measures suggest that w in the CSL is more organized than that in the ASL, and that as the flows in both layers evolve from near-neutral to near-convective conditions, the level of organization increases. Furthermore, we found that the degree of organization in w associated with changes in is more significant than the transition from CSL to ASL.     

Maximal Overlap Wavelet Statistical Analysis With Application to Atmospheric Turbulence

Statistical tools based on the maximal overlap discrete wavelet transform (MODWT) are reviewed, and then applied to a dataset of aircraft observations of the atmospheric boundary layer from the tropical eastern Pacific, which includes quasi-stationary and non-stationary segments. The wavelet methods provide decompositions of variances and covariances, e.g. fluxes, between time scales that effectively describe a broadband process like atmospheric turbulence. Easily understood statistical confidence bounds are discussed and applied to these scale decompositions, and results are compared to Fourier methods for quasi-stationary turbulence. The least asymmetric LA(8) wavelet filter yields coefficients that exhibit better uncorrelatedness across scales than the Haar filter and is better suited for decomposition of broadband turbulent signals. An application to a non-stationary segment of our dataset, namely vertical profiles of the turbulent dissipation rate, highlights the flexibility of wavelet methods.     

中国近50年气温变化准3年周期的普遍性及气温未来的可能变化趋势

利用全国98个测站的年和冬季气温资料,采用Marr小波分析方法,分析了近50年(1961—2009年)中国8个气候区的年和冬季气温变化,研究了中国气温变化的周期性,并对未来20年(2010—2029年)气温的可能变化趋势进行了预测。结果表明,我国8个气候区气温的年际变化以高频变化为主,普遍存在着准3～4年周期变化,尤其是冬季气温的准3年周期变化显著,而且这种周期变化具有相对的稳定性。而年气温的周期特征存在显著的南北差异。周期叠加外推的结果表明,未来20年,中国将继续保持增暖趋势,北方地区和青藏高原的升温要大于除西南地区外的南方地区。如果按照线性趋势升温,2010-2029年气温上升幅度不会超过1℃。     

淮海地区降水周期及突变特征分析

利用淮海地区1955—2004年23个气象站点的逐日降水资料,分析了淮海地区降水的主要周期振荡以及突变点,结果表明:该地区降水均有多个时间尺度的周期变化特征,降水周期变化显著,干湿交替现象明显;降水的年代际以及年际尺度的主要周期:年降水为12a、9a、5a,春季降水为14a、6a、3a,夏季为10a、4a,秋季为21a、10a、7a,冬季为18a、5a。年降水减少趋势明显,在1967年发生了突变,由相对多雨期转入相对少雨期;春季、夏季、秋季降水都有不同程度的减少趋势,而冬季降水则表现为增加的趋势。     

近55年中国大陆地区降水突变的区域特征

利用中国大陆1951～2003年160站较为完整的降水观测资料,采用Mann-Kendall检验法和小波分析方法,确定了中国大陆不同区域降水突变事件的大致时间,研究揭示了近55年中国大陆降水突变事件变化的区域特征。得出如下结论:(1)近55年来,中国大陆年平均降水量正在逐步减少。华北地区、四川盆地和东北地区年降水量减少明显。年降水量增加的区域位于长江中下游及其以南地区,另外,西北部分地区和青藏高原南部略有增加。(2)中南地区和青藏云地区年降水在20世纪90年代中后期出现突变,华北地区降水突变出现在20世纪70年代中期,东北地区突变出现在20世纪60年代中期,华南地区降水在20世纪70年代初期出现突变。     

1994年6月广东省特大洪涝期间气象要素的小波分析

通过对１９９４年６月广东洪涝期间省内南雄与电白两站逐时地面降水、气压和温度的小波分析,清楚地将影响两站的不同尺度的扰动显示出来,利用小波方差图可帮助确定该段时间的主要天气系统,利用小波逆变换可对原序列进行多种形式的重构。     

Possible effect of ENSO on annual sediment discharge of debris flows in the Jiangjia Ravine based on Morlet wavelet transforms

The multi-time-scale structures of an annual sediment discharge series of debris flow in the Jiangjia Ravine and the Southern Oscillation index are analysed using the method of Morlet wavelet transformations. The possible effects of E1 Nirio episodes on the annual sediment discharge are discussed by comparing the period variations of ENSO and the discharge. The results show that the annual sediment discharge series of debris flow is related to E1 Nifio episodes. Generally, the annual sediment discharge of debris flow is less than usual during an E1 Nifio episode and debris flow is less active. On the contrary, the annual sediment discharge of debris flows is greater than usual during a La Nifia episode and debris flows are more frequent. There is a relationship between the annual sediment discharges of debris flow in the Jiangjia Ravine and the summer Southern Oscillation index, with both having quasi-periodic variations of 2 and 5-6 years.