1961-2010年哈尔滨市霜冻的气候变化特征

通过对哈尔滨市1961-2010年初霜冻和终霜冻日期的气候特征分析,得出哈尔滨市初霜冻日期明显推迟,且推迟是一个突变现象,具体是从2002年开始;而终霜冻日期随气候变暖略有提前。初霜冻日期在不同年份分别存在准3 a和准30 a的振荡周期;终霜冻则存在准5 a和10-15 a的振荡周期。此外,初霜冻出现极早年,我国东北地区位势高度偏低,气温偏低;而初霜冻极晚年,我国华北及东北地区位势高度场较常年偏高,气温偏高。     

Scaling of Wall-Normal Turbulence Intensity and Vertical Eddy Structures in the Atmospheric Surface Layer

Adequate high-quality data on three-dimensional velocities in the atmospheric surface layer (height \(\delta \)) were acquired in the field at the Qingtu Lake Observation Array. The measurement range occupies nearly the entire logarithmic layer from approximately \(0.006\delta \)–\(0.2\delta \). The turbulence intensity and eddy structures of the velocity fluctuations in the logarithmic region were primarily analyzed, and their variations in the z (wall-normal) direction were revealed. The primary finding was that the turbulent intensity of wall-normal velocity fluctuations exhibits a sharp upswing in the logarithmic region, which differs from classic scaling law and laboratory results. The upswing of the wall-normal turbulence intensity in the logarithmic region is deemed to be linear based on an ensemble of 20 sets of data. In addition, the wall-normal extent of the correlated structures and wall-normal spectra were compared to low Reynolds number results in the laboratory.     

利用ERBE和ISCCP资料反演青藏高原地表短波吸收辐射场

利用ＥＲＢＥ和ＩＳＣＣＰ卫星辐射及总云量资料,结合青藏高原地面日射资料,讨论了并提出了该地区地表短波吸收气候反演方法,该法的似合精度较高,平均误差为９．８Ｗ．ｍ＾－２据此计算出７５°Ｅ－９５°豚２５°Ｅ－４０°Ｎ间２．５°＊２．５°经纬网格点和高原６３个站点的各月平均地面吸收辐射通量密度,给制出其在高原的分布图,揭示其基本特征。     

水平切变线上涡层不稳定理论

文中打破了传统的 Kelvin- Helmholtz研究切变不稳定的观点 ,考虑了强涡度切变存在时切变线已构成了一个涡层 ,这时切变线的不稳定问题就变为涡层的不稳定问题。同时考虑由涡层所产生的诱导速度 ,从理论上得到了水平切变线上涡层不稳定必要条件的判据 ,即必须满足 (1 - Rv Rid) >0 ,且有 U(y,t) >U(A(t) )与之相配合。这表明环境场的配置制约着切变线上扰动的发展 ,这种中尺度扰动同环境场存在着相互作用。文中还用具体个例对如何计算不稳定必要条件做了解释和说明。     

Spring Arctic Oscillation-East Asian summer monsoon connection through circulation changes over the western North Pacific

In the present study the links between spring Arctic Oscillation (AO) and East Asian summer monsoon (EASM) was investigated with focus on the importance of the North Pacific atmospheric circulation and sea surface temperature (SST). To reduce the statistical uncertainty, we analyzed high-pass filtered data with the inter-annual time scales, and excluded the El Ni?o/Southern Oscillation signals in the climate fields using a linear fitting method. The significant relationship between spring AO and EASM are supported by the changes of multi-monsoon components, including monsoon indices, precipitation, and three-dimensional atmospheric circulations. Following a stronger positive spring AO, an anomalous cyclonic circulation at 850?hPa appears in southeastern Asia and the western North Pacific in summer, with the easterly anomalies spanning from the Pacific to Asian continent along 25°N?C30°N and the westerly anomalies south of 15°N. At the same time, the summer western North Pacific subtropical high becomes weaker. Consistently, the positive precipitation anomalies are developed over a broad region south of 30°N stretching from southern China to the western Pacific and the negative precipitation anomalies appear in the lower valley of the Yangtze River and southern Japan. The anomalous cyclone in the western North Pacific persisting from spring to summer plays a key role in modulating EASM and monsoon precipitation by a positive air-sea feedback mechanism. During spring the AO-associated atmospheric circulation change produces warmer SSTs between 150°E?C180° near the equator. The anomalous sensible and latent heating, in turn, intensifies the cyclone through a Gill-type response of the atmosphere. Through this positive feedback, the tropical atmosphere and SST patterns sustain their strength from spring to summer, that consequently modifies the monsoon trough and the western North Pacific subtropical high and eventually the EASM precipitation. Moreover, the SST response to AO-circulation is supported by the numerical simulations of an ocean model, and the anomalous atmospheric circulation over the western North Pacific is also reproduced by the dedicated numerical simulations using the coupled atmosphere?Cocean model. The observation evidence and numerical simulations suggest the spring AO can impact the EASM via triggering tropical air-sea feedback over the western North Pacific.     

攀枝花短时强降水气候特征分析

利用攀枝花市1988~2010年5~10月的逐时降水资料,对各历时各级强降水的时空分布特征进行了分析,利用皮尔逊-Ⅲ型频率分布函数,计算了攀枝花市4站1h、3h和6h各重现期的极端最大降水量。结果表明:各级强降水主要集中在6~9月,以7月为最多,且日变化特征显著,最容易出现在00~05时。1h、3h、6h的最大降水量均出现在盐边,盐边和市区更容易发生1h≥50mm的极端强降水。短时强降水过程具有非常强的局地性,单站过程高达80%,且雨强越大局地性越强。各历时各重现期的极端最大降水量均以盐边为最大。      

Multi-Source Emission Determination Using an Inverse-Dispersion Technique

Inverse-dispersion calculations can be used to infer atmospheric emission rates through a combination of downwind gas concentrations and dispersion model predictions. With multiple concentration sensors downwind of a compound source (whose component positions are known) it is possible to calculate the component emissions. With this in mind, a field experiment was conducted to examine the feasibility of such multi-source inferences, using four synthetic area sources and eight concentration sensors arranged in different configurations. Multi-source problems tend to be mathematically ill-conditioned, as expressed by the condition number κ. In our most successful configuration (average κ = 4.2) the total emissions from all sources were deduced to within 10% on average, while component emissions were deduced to within 50%. In our least successful configuration (average κ = 91) the total emissions were calculated to within only 50%, and component calculations were highly inaccurate. Our study indicates that the most accurate multi-source inferences will occur if each sensor is influenced by only a single source. A “progressive” layout is the next best: one sensor is positioned to “see” only one source, the next sensor is placed to see the first source and another, a third sensor is placed to see the previous two plus a third, and so on. When it is not possible to isolate any sources κ is large and the accuracy of a multi-source inference is doubtful.     

GPS时间序列分析

GPS时间序列可以用于获取各种地球物理现象、地壳运动的季节性变化规律和板块运动的速度,对地球动力学的研究具有相当重要的意义。本文详细阐述了GPS时间序列分析的方法及其过程,对国内IGS站数据的时间序列进行了分析,并运用功率谱分析其残差时间序列,最后获得GPS连续跟踪站时间序列的噪声类型。     

特征级高分辨率遥感图像快速自动配准

随着遥感图像分辨率的日益提高,遥感图像的尺寸和数据量也不断地增大,同时随着遥感应用的发展,对图像配准的性能也提出越来越高的要求,基于此,提出一种特征级高分辨率遥感图像快速自动配准方法。首先,对图像进行Haar小波变换,基于小波变换后的近似图像进行配准以提高配准速度;其次,根据不同的遥感图像来源使用不同的特征提取方法(光学图像使用Canny边缘提取算子,SAR图像使用Ratio Of Averages算子),并将线特征转化为点特征;然后,依据特征点间最小角与次小角的角度之比小于某一阈值来确定初始匹配点对;最后,利用改进的随机抽样一致性算法滤除错误匹配点对,并结合分块思想均匀选取匹配点对计算仿射变换参数,进一步提高配准精度。为了验证本文方法的有效性,选择高分辨率World View-2图像、Pleiades图像和Terra SAR图像进行了实验,并与典型的SIFT算法、SURF算法进行比较分析,采用匹配率、匹配效率、均方根误差和时间消耗4个定量评价指标来客观评价算法的配准性能。实验结果表明,本文方法具有较好的有效性,且在不同的情况下具有较高的配准精度。本文提出的特征级高分辨率遥感图像快速自动配准方法,多组高分辨率遥感图像数据的配准实验结果表明该方法能快速实现并具有较高的配准精度和较好的鲁棒性。     

基于WebGIS的海洋预报信息发布系统的设计与实现

海洋预报信息在海洋管理、国防建设和海洋经济发展等方面有着广泛应用,建设能够实时动态地发布海洋预报信息的数据共享平台具有重要的现实意义。本文首先分析了海洋预报数据管理和可视化方面存在的突出问题;然后,针对这些问题,利用GIS技术对海洋预报数据的管理和可视化方法进行研究,分别基于混合结构数据模型管理预报数据,以矢量图、栅格图、统计折线图等方式对预报数据进行可视化;最后,基于WebGIS、ArcGIS API for JavaScript技术进行了海洋预报信息发布系统的开发实践,实现了海洋预报数据的科学管理和动态可视化。