1961-2012年夏季南亚高压与云南地区降水的关系

基于1961-2012年NCEP/NCAR月平均再分析资料和云南地区124个观测站月降水资料,利用相关分析法分析夏季南亚高压与云南地区降水的关系。结果表明：1961-2012年夏季滇西南地区降水与南亚高压主中心经度呈较显著负相关,滇南地区降水与南亚高压面积呈较显著负相关;6月滇西北和滇南地区降水与南亚高压脊线位置、高压主中心纬度呈显著正相关,滇西南地区降水与南亚高压主中心强度呈显著正相关,而与南亚高压主中心经度呈显著负相关,滇中地区降水与南亚高压主中心纬度呈显著正相关;7月滇西南、滇西北的西南部和滇西的北部地区降水与南亚高压脊线位置呈较显著正相关,滇西地区降水与南亚高压主中心强度呈较显著负相关,滇中和滇东地区降水与南亚高压主中心经度呈较显著负相关;8月滇西南、滇中、滇南和滇东地区降水与南亚高压面积呈显著负相关。     

Recent Change of the South Asian High

This paper investigates the variability of the summer （May-September） South Asian Iligh （SAIl） for the period 1979-2012. Results show that the intensity and the area of the summer SAH decreased around 2002 at the decadal scale; and the East Asian westerly jet suppressed at the north edge of the SAH, which is consistent with the SAH variation. The precipitation pattern over eastern China also shifted during the same periods, with increased rainfall in the Huang-Huai River region and South China and decreased rainfall in the Yangtze River region. The relationship between the two variations is evidently strengthened via changes in moisture flux.     

Can existing institutions protect biodiversity in areas beyond national jurisdiction? Experiences from two on-going processes

United Nations discussions on the governance of marine areas beyond national jurisdiction have questioned, but not yet reached a decision, on whether existing institutional agreements and structures are sufficient to meet global commitments to protect marine biodiversity, or if additional mechanisms may be required. This paper considers two very different efforts to protect marine biodiversity in these areas: (1) in the North-East Atlantic through the efforts of OSPAR Convention for the Protection of the Marine Environment of the North-East Atlantic; and (2) in the central Atlantic, through the efforts of the Sargasso Sea Alliance led by the Bermuda government. In each case, action has been strongly supported by non-governmental organisations and subsequent progress has hinged upon on-going dedicated efforts of “champion” governments to bring other States on board. This paper outlines the difficulties that they have faced, and consequently why they have been time-consuming, and are not yet completed. The paper then considers 10 common recommendations that can be drawn from the experiences of these two distinct initiatives, and their relevance to on-going UN deliberations.     

A multi-index learning approach for classification of high-resolution remotely sensed images over urban areas

In recent years, it has been widely agreed that spatial features derived from textural, structural, and object-based methods are important information sources to complement spectral properties for accurate urban classification of high-resolution imagery. However, the spatial features always refer to a series of parameters, such as scales, directions, and statistical measures, leading to high-dimensional feature space. The high-dimensional space is almost impractical to deal with considering the huge storage and computational cost while processing high-resolution images. To this aim, we propose a novel multi-index learning (MIL) method, where a set of low-dimensional information indices is used to represent the complex geospatial scenes in high-resolution images. Specifically, two categories of indices are proposed in the study: (1) Primitive indices (PI): High-resolution urban scenes are represented using a group of primitives (e.g., building/shadow/vegetation) that are calculated automatically and rapidly; (2) Variation indices (VI): A couple of spectral and spatial variation indices are proposed based on the 3D wavelet transformation in order to describe the local variation in the joint spectral-spatial domains. In this way, urban landscapes can be decomposed into a set of low-dimensional and semantic indices replacing the high-dimensional but low-level features (e.g., textures). The information indices are then learned via the multi-kernel support vector machines. The proposed MIL method is evaluated using various high-resolution images including GeoEye-1, QuickBird, WorldView-2, and ZY-3, as well as an elaborate comparison to the state-of-the-art image classification algorithms such as object-based analysis, and spectral-spatial approaches based on textural and morphological features. It is revealed that the MIL method is able to achieve promising results with a low-dimensional feature space, and, provide a practical strategy for processing large-scale high-resolution images.     

Spectral monitoring of moorland plant phenology to identify a temporal window for hyperspectral remote sensing of peatland

Recognising the importance of the timing of image acquisition on the spectral response in remote sensing of vegetated ecosystems is essential. This study used full wavelength, 350–2500 nm, field spectroscopy to establish a spectral library of phenological change for key moorland species, and to investigate suitable temporal windows for monitoring upland peatland systems. Spectral responses over two consecutive growing seasons were recorded at single species plots for key moorland species and species sown to restore eroding peat. This was related to phenological change using narrowband vegetation indices (Red Edge Position, Photochemical Reflectance Index, Plant Senescence Reflection Index and Cellulose Absorption Index); that capture green-up and senescence related changes in absorption features in the visible to near infrared and the shortwave infrared. The selection of indices was confirmed by identifying the regions of maximum variation in the captured reflectance across the full spectrum. The indices show change in the degree of variation between species occurring from April to September, measured for plant functional types. A discriminant function analysis between indices and plant functional types determines how well each index was able to differentiate between the plant functional groups for each month. It identifies April and July as the two months where the species are most separable. What is presented here is not one single recommendation for the optimal temporal window for operational monitoring, but a fuller understanding of how the spectral response changes with the phenological cycle, including recommendations for what indices are important throughout the year.     

高动态宽带信号码跟踪方法仿真分析

针对高动态场景,单独的码环路很难实现跟踪,由于高动态载波跟踪的算法很成熟,通常应用载波跟踪结果对码环路进行辅助,针对窄体制信号,这种方法可以帮助消除码环的动态误差,但对宽体制信号来说,辅助力度减小。从高动态宽带信号码跟踪误差门限以及跟踪精度入手,分析了单独码跟踪算法的易失锁性,理论和仿真验证应用高动态载波跟踪结果辅助码跟踪算法的有效性,且具有高的跟踪精度。这为导航接收机的跟踪算法提供了理论依据。     

基于Sufer软件的安徽巢湖马家凹地区土壤化探测量的数据处理方法

通过各项地质工作,完成面积约7.47 km2的土壤化探测量,采集样品1 353个,根据统计分析结果,确定了区内Au元素与Cu、Pb、Zn及Ag的关系较之Co、Ni密切,反映了区内金的成矿与老地层有一定的成因联系。通过异常等级的确定,圈定金化探异常9个。并利用地球化学块体方法对区内金的资源潜力进行了评估。初步认为区内金在构造、地层有利地段是最佳的最找矿地段。     

基于嫦娥二号微波辐射计数据月球中低纬度亮温异常区地质分析研究

月球表面的微波辐射亮度温度与月表地质结构和月表物质的物理化学特性相关。为了对月球亮温分布异常区域进行地质分析,文章首先计算嫦娥亮温数据的时角,采用克里金插值的方法得到了不同频率不同时刻中低纬度的微波亮温图。结合奇异值分解(SVD)模型分析了月表亮温变化异常,结果表明风暴洋位置和靠近月海东北部的高地区域等存在亮温变化异常,月海区域(除风暴洋外)为3 GHz和37 GHz两个场的总体相关区域。通过对月球火山分布地区的区域亮温变化进行分析,发现这热异常可能是由于月球火山活动造成的。     

Properties of iron alloys under the Earth's core conditions

The Earth's core is constituted of iron and nickel alloyed with lighter elements. In view of their affinity with the metallic phase, their relative high abundance in the solar system and their moderate volatility, a list of potential light elements have been established, including sulfur, silicon and oxygen. We will review the effects of these elements on different aspects of Fe–X high pressure phase diagrams under Earth's core conditions, such as melting temperature depression, solid–liquid partitioning during crystallization, and crystalline structure of the solid phases. Once extrapolated to the inner–outer core boundary, these petrological properties can be used to constrain the Earth's core properties.     

A 2000-yr reconstruction of air temperature in the Great Basin of the United States with specific reference to the Medieval Climatic Anomaly

A sediment core representing the past two millennia was recovered from Stella Lake in the Snake Range of the central Great Basin in Nevada. The core was analyzed for sub-fossil chironomids and sediment organic content. A quantitative reconstruction of mean July air temperature (MJAT) was developed using a regional training set and a chironomid-based WA-PLS inference model (r²_jack = 0.55, RMSEP = 0.9°C). The chironomid-based MJAT reconstruction suggests that the interval between AD 900 and AD 1300, corresponding to the Medieval Climate Anomaly (MCA), was characterized by MJAT elevated 1.0°C above the subsequent Little Ice Age (LIA), but likely not as warm as recent conditions. Comparison of the Stella Lake temperature reconstruction to previously published paleoclimate records from this region indicates that the temperature fluctuations inferred to have occurred at Stella Lake between AD 900 and AD 1300 correspond to regional records documenting hydroclimate variability during the MCA interval. The Stella Lake record provides evidence that elevated summer temperature contributed to the increased aridity that characterized the western United States during the MCA.