太平洋各区海温异常对中国东部夏季雨带类型的共同影响

根据1951～1986年的海温资料,作者在对中国东部夏季（6～8月）雨带分布分型的基础上,分析了各雨型与同期和前期各季太平洋（60°N～50°S, 120°E～70°W）海温异常的关系。分析表明,对应不同雨型,无论同期或前期整个太平洋海温距平分布的基本形势都有明显不同的特点,特别是西北太平洋黑潮暖流和热带太平洋赤道冷水带海温的异常。这两个海区的海温变化明显,而且与其周围（西北太平洋呈“>”形,热带太平洋呈“<”形）的海温存在反相的变化。这种结构既反映了海温的纬向热力差异又反映了海温的经向热力差异。指出西北太平洋和热带太平洋各种海温距平不同配置的共同影响,是导致中国东部各种雨带分布类型的一个重要因素。分析还表明,各雨型海温距平的配置有很强的持续性,而且与前期各主要洋流区海温的变异有关。根据前期太平洋大范围海温距平分布的特征和演变的过程以及ENSO预测,可为夏季我国大范围旱涝趋势的长期预报提供依据。     

Shortwave radiation�CSST relationship over the mid-latitude North Pacific during boreal summer in climate models

Over the mid-latitude North Pacific, there is a close relationship between interannual variations of the sea surface temperature (SST) and surface shortwave radiation during boreal summer. The present study evaluates this relationship in coupled model simulations, forced model simulations, and retrospective forecasts. It is found that the simulation of this relationship in climate models is closely related to the model biases in the meridional gradients of mean SST and surface shortwave radiation. A southward shift in the region of large mean meridional gradients leads to a similar southward shift in the region of large correlation between the SST and shortwave radiation variations. The relationship is enhanced (weakened) when the mean meridional gradients are stronger (weaker) compared to observations. The shortwave radiation?CSST correlation is weak in individual forced simulations because of the interference of internally generated shortwave radiation variations. The shortwave radiation?CSST correlation increases significantly in the ensemble mean due to reduction of internally generated variability. The long-lead Climate Forecast System (CFS) forecasts have a better simulation of the shortwave radiation?CSST correlation compared to the short-lead forecasts. Estimation based on the CFS ensemble forecasts indicates that the high-frequency atmospheric variations contribute importantly to the SST variability over the mid-latitude North Pacific during boreal summer.     

Caribbean Sea rainfall variability during the rainy season and relationship to the equatorial Pacific and tropical Atlantic SST

The present study investigates the Caribbean Sea rainfall variability during the early and late rainy seasons and its association with sea surface temperature (SST) and air?Csea interaction based on observational estimates, the NCEP Climate Forecast System (CFS) and Global Forecast System (GFS) simulations, and the CFS retrospective forecasts. Analysis of the observational estimates indicates that air?Csea interaction is important over the Caribbean Sea, whereas the atmospheric forcing of SST dominates over the Gulf of Mexico. The CFS simulation captures the basic elements of this observed air?Csea relationship. The GFS simulation produces spurious SST forcing of the atmosphere over the Gulf of Mexico largely due to prescribing SST. The CFS forecasts capture the air?Csea relationship in the late rainy season (August?COctober), but cannot reproduce the SST forcing of atmosphere over the Caribbean Sea in the early rainy season (May?CJuly). An empirical orthogonal function (EOF) analysis indicates that the leading modes of percent anomalies of the rainy season precipitation have the largest loading in the southern Caribbean Sea in observations. The model simulations and forecasts skillfully reproduce the spatial pattern, but not the temporal evolution. The Caribbean Sea rainfall variability in the early rainy season is mainly due to the tropical North Atlantic (TNA) SST anomalies in observations, is contributed by both the TNA and eastern equatorial Pacific (EEP) SST anomalies in the CFS simulation, and has an overly large impact from the EEP SST anomalies in the GFS simulation and the CFS forecasts. The observed Caribbean Sea rainfall variability in the late rainy season has a leading impact from the EEP SST anomalies, with a secondary contribution from the TNA SST anomalies. In comparison, the model simulations and forecasts overestimate the impacts of the EEP SST anomalies due to an earlier development and longer duration of the El Ni?o-Southern Oscillation in the CFS compared to observations.     

Decomposing of mixed pattern of arsenic using fractal model in Gangdese belt,Tibet, China

Decomposing mixed geochemical patterns is a challenge in geochemical exploration and environmental assessment. In this paper, the spectrum–area technique (S–A) is used to decompose a mixed pattern of arsenic in Gangdese belt based on stream sediment data. S–A is a multifractal model based on power–law relationships between area of the set consisting of wave numbers with spectral energy density above S[A(>S)] on the 2D frequency domain. The original spatial distribution map of arsenic obtained by inverse distance weighted (IDW) shows a mixed pattern due to superposition of different geological processes or events and is converted into the frequency domain by means of Fourier transformation. Two components, including power spectrum density and phases, are obtained. The spectrum energy density (S) and the area (A) enclosed by the above-threshold spectrum energy density is plotted on a log–log scale. Two cutoff values determined by three straight lines define three filters which decompose the original map of arsenic into background, anomalous, and high frequency (noise) components. The areas with high anomaly of arsenic mainly are located surrounding known Cu deposits, indicating that arsenic anomalies may be related to Cu mineralization.     

The Summer Snow Cover Anomaly over the Tibetan Plateau and Its Association with Simultaneous Precipitation over the Mei-yu–Baiu region

The summer snow anomalies over the Tibetan Plateau （TP） and their effects on climate variability are often overlooked,possibly due to the fact that some datasets cannot properly capture summer snow cover over high terrain.The satellite-derived Equal-Area Scalable Earth grid （EASE-grid） dataset shows that snow still exists in summer in the western part and along the southem flank of the TP.Analysis demonstrates that the summer snow cover area proportion （SCAP） over the TP has a significant positive correlation with simultaneous precipitation over the mei-yu-baiu （MB） region on the interannual time scale.The close relationship between the summer SCAP and summer precipitation over the MB region could not be simply considered as a simultaneous response to the Silk Road pattern and the SST anomalies in the tropical Indian Ocean and tropical central-eastern Pacific.The SCAP anomaly has an independent effect and may directly modulate the land surface heating and,consequently,vertical motion over the western TP,and concurrently induce anomalous vertical motion over the North Indian Ocean via a meridional vertical circulation.Through a zonal vertical circulation over the tropics and a Kelvin wave-type response,anomalous vertical motion over the North Indian Ocean may result in an anomalous high over the western North Pacific and modulate the convective activity in the western Pacific warm pool,which stimulates the East Asia-Pacific （EAP） pattern and eventually affects summer precipitation over the MB region.     

多重分形滤波方法和地球化学信息提取技术研究与进展

圈定地球化学异常是勘查地球化学和环境地球化学研究中的一项基础性工作。笔者通过详细分析近30年来与地球科学密切相关的分形和多重分形等现代非线性理论和新方法的迅速发展和应用,特别是以解决地球化学复杂背景与叠加异常分解难题为例,介绍了广义自相似理论与分形滤波技术的发展和应用,相信在资源、环境、灾害的其他应用领域也将发挥重要影响。文中阐明了多重分形是更具普适性的地球化学元素分布模式,"密度-面积"分形模型是刻画地球化学异常的基础模型,并为多个空间开展分形滤波和分解地球化学复杂背景与叠加异常的理论基础。该方法的显著优势在于将地球化学场的各向异性、尺度不变性、广义自相似性等特征集于一体,具有压制变化性背景干扰,突出局部异常的能力,其中C-A和S-A业已广泛应用于矿产勘查靶区圈定和环境污染模式识别,形成了分解地球化学复杂背景和叠加异常的常用技术,在国内外多个成矿区带取得了显著的找矿效果。     

南极海冰与南半球大气环流关系的初步探讨

本文利用１９７３—１９８２年南极海冰北界资料，分析了南极海冰平均北界（海冰范围）的变化及其与南半球大气环流变化间的联系。１９７６年前，南极海冰平均北界偏北（海冰范围扩大），而１９７７年－１９８０年，南极海冰平均北界偏南（海冰范围缩小）。与此相对应，这两个时期的南半球大气环流具有明显不同的特点。在南极海冰平均北界偏北、海冰范围扩大时期，南极高压和绕极低压带偏弱，南半球中高纬度地区槽脊位置偏西，南印度洋和南大晒洋副热带高压偏弱，南太平洋副热带西凤减弱、中纬度西风加强，而南太平洋副热带高压和印度尼西亚低压带发展，南方涛动处于正位相阶段；在南极海冰平均北界偏南、海冰范围缩小时期，则相反。分析表明，南方涛动与南极海冰之间存在相互联系，并以南极海冰超前南方涛动约２个月时的关系最好，其次是南极海冰落后南方涛动４个月。     

Developing a Geological Management Information System： National Important Mining Zone Database

INTRODUCTIONGeographic information systems (GIS) is a newtechnology of storing and processing spatial informa-tion , which can combine graphics with many types ofdatabase .It can also exhibit accurate and real spaceinformation with charts and texts according to actualneed ,and canintegrate geographic locations and cor-related data attributes as an organic whole .Geoscien-tists have shown GIS to be a very useful tool in theanalysis of geoscience problems (Zhao et al .,2004 ;Singer ,1993…     

基于深度学习的地质找矿大数据挖掘与集成的挑战

基于深度学习的地质找矿信息挖掘与集成已经成为数学地球科学的前沿领域.深度学习作为一种具有多级非线性变换的层级机器学习算法,在地质找矿大数据挖掘与集成中仍处于探索阶段,还有一系列问题亟需解决.以卷积神经网络为例,探讨了基于深度学习的地质找矿大数据挖掘与集成过程中两大挑战:训练样本不足和深度学习网络模型构建困难,重点分析了...