星载合成孔径雷达海洋遥感与大数据

星载合成孔径雷达以其全天候、全天时、不受云雨影响的工作特性在空间对海观测中起到了重要作用，又以其高空间分辨率、多极化、多成像模式的特点展示了其在海洋动力要素反演和海洋多尺度动力过程研究中独特的魅力.起步于20世纪70年代末的星载合成孔径雷达技术，迎来了发展的"黄金时期"，大数据和机器学习又赋予了星载合成孔径雷达海洋遥感更强大的生命力.本文首先阐述了星载合成孔径雷达大数据的5"V"特性，进而以高分辨率海面风场反演、海洋内波中尺度动力过程观测两类典型案例，阐述了大数据、机器学习等现代信息科学技术与卫星海洋遥感结合，实现海洋环境参数高精度反演和海洋动力过程科学深层次认知的研究.最后，展望了星载合成孔径雷达海洋遥感与大数据的发展前景.     

天体磁场发电机理论新进展

全面阐述了宇宙发电机理论的发展。首先简介介绍了天体发电机的理论基础，在此基础上分别讨论了运动学和动力学两大类发电机理论，尤其对运动学中的α－ω发电机理论和动力学发电机中的参数法和直接数值模拟法作了详尽述评，并对其理论的最新发展如非线性、非对称、各向异性和混沌等情况都作了介绍。     

佛顶山钙铬榴石分布特征及其找矿意义

本区钙铬榴石含钙铝榴石分子，两者组成类质同像系列矿物，颜色和透明度随成分变化而变化。目前找到的钙铬榴石成翠绿色十分美丽。但是，透明者少，粒度均小于４ｍｍ，达不到宝石级标准。但埋于坡积层中的含钙铬榴石铬透辉石岩的转石风化强烈，钙铬榴石易于脱出，晶体保存完整，采选容易，是寻找宝石的理想地区。     

A time-domain induced-polarization method for estimating permeability in a shaly sand reservoir

It is known that the time‐domain induced‐polarization decay curve for a shaly sand reservoir depends on the pore structure of the reservoir, and this curve can be used to estimate permeability, which is a determining factor in making production decisions in the petroleum industry. Compared with NMR logging tools, induced polarization has several advantages, such as a deep depth of investigation and a high signal‐to‐noise ratio. The purpose of this paper is to establish an appropriate model using induced polarization to estimate the permeability. The curve can be modelled as a weighted superposition of exponential relaxations. The plot of weight versus the relaxation time constant is defined as the relaxation time spectrum. Induced‐polarization decay‐curve measurements were performed on 123 samples from the Daqing oilfield using a four‐electrode technique. A singular‐value decomposition method was used to transform the induced‐polarization decay data into a spectrum. Different models to estimate the permeability were discussed. The results of the research indicate that the induced‐polarization measurements greatly improve the statistical significance of permeability correlations. Compared with the traditional forms, Aφ^C and AF^C, the forms, AT^Bφ^C and AT^BF^C, have lower error factors, where T, Φ and F are the geometric mean time constant of the induced‐polarization relaxation time spectrum, the porosity and the resistivity formation factor, respectively, and A, B and C are constants. The mean time constant is the decisive parameter in the permeability estimation and it is not completely independent of the resistivity formation factor. The additional use of the porosity and the resistivity formation factor leads to an appreciable improvement. It is concluded that this new model will make it possible to estimate the permeability of a shaly sand reservoir downhole.     

内蒙古好老鹿场地区晚古生代超基性-基性岩的发现及意义

在内蒙古东部好老鹿场地区1∶5万区调工作中,发现了一套新的岩石组合,分别由铁镁质堆积岩、基性岩墙群、蚀变基性火山岩等组成。该套岩石组合经较强的构造破坏,呈大小不等的岩块产于本巴图组砂板岩之中。总体延伸方向呈近东西向展布,明显受区域性构造控制。岩石化学、岩石地球化学等方面的资料表明,辉石橄榄岩、辉长岩具有低A l、贫Ca和富Na的特点,MgO/(MgO FeO)比值为0.25,MgO含量偏低。稀土元素总量偏低,为76.03×10-6~114.81×10-6,轻重稀土富集不明显,分馏作用较弱。∑L/∑H为0.73~0.8,配分曲线呈平坦的“W”型,δEu=1.03~1.23,略显正异常。基性火山岩具明显的富Fe、Mg、Na,贫A l、Ti、K的特征,微量元素显示形成于洋中脊环境。同时在辉长岩中获得单颗粒锆石U Pb年龄为362.4 M a,时代为早泥盆世晚期。其形成环境为洋中脊,属于泥盆纪古亚洲洋消减部分的残留体。     

地图目标局部分形描述的元分维模型的实现

提出了一种基于分形理论的元分维模型，可以用于描述地图目标的局部形态特征变化，为地图目标的进一步分析应用提供了一个新的思路。     

SVD迭代模型在夏季降水预测中的应用

文中设计了一种基于SVD迭代的短期气候预测模型,通过选择适当的影响因子,建立与预测对象之间的联系,从而实现对气象场序列的预测。分别对华北16个测站和长江中下游地区30个测站1991—2000年近10a夏季(6—8月)降水做预测试验,平均均方误差分别为0.352和0.312,平均符号相关系数分别为0.575和0.623。此研究表明,基于SVD迭代的气候预测模型是一种非常有效的短期气候预测途径,具有很强的应用价值。     

Decreasing Reference Evapotranspiration in a Warming Climate—A Case of Changjiang (Yangtze) River Catchment During 1970–2000

This study deals with temporal trends in the Penman-Monteith reference evapotranspiration estimated from standard meteorological observations, observed pan evaporation, and four related meteorological variables during 1970–2000 in the Yangtze River catchment. Relative contributions of the four meteorological variables to changes in the reference evapotranspiration are quantified. The results show that both the reference evapotranspiration and the pan evaporation have significant decreasing trends in the upper, the middle as well as in the whole Changjiang (Yangtze) River catchment at the 5% significance level, while the air temperature shows a significant increasing trend. The decreasing trend detected in the reference evapotranspiration can be attributed to the significant decreasing trends in the net radiation and the wind speed.     

Spatiotemporal analysis of precipitation trends in the Yangtze River catchment

Precipitation trends in the Yangtze River catchment (PR China) have been analyzed for the past 50 years by applying the Mann-Kendall trend test and geospatial analyses. Monthly precipitation trends of 36 stations have been calculated. Significant positive trends at many stations can be observed for the summer months, which naturally show precipitation maxima. They were preceded and/or followed by negative trends. This observation points towards a concentration of summer precipitation within a shorter period of time. The analysis of a second data set on a gridded basis with 0.5° resolution reveals trends with distinct spatial patterns. The combination of classic trend tests and spatially interpolated precipitation data sets allows the spatiotemporal visualization of detected trends. Months with positive trends emphasize the aggravation of severe situation in a region, which is particularly prone to flood disasters during summer. Reasons for the observed trends were found in variations in the meridional wind pattern at the 850 hPa level, which account for an increased transport of warm moist air to the Yangtze River catchment during the summer months.     

The Impact Cooling of the Storm-Induced SST on Hurricane Intensity

The effects of storm-induced sea surface temperature （SST） cooling on hurricane intensity are investigated using a 5-day cloud-resolving simulation of Hurricane Bonnie （1998）. Two sensitivity simulations are performed in which the storm-induced cooling is either ignored or shifted close to the modeled storm track. Results show marked sensitivity of the model-simulated storm intensity to the magnitude and relative position with respect to the hurricane track. It is shown that incorporation of the storm-induced cooling, with an average value of 1.3℃, causes a 25-hPa weakening of the hurricane, which is about 20 hPa per 1℃ change in SST. Shifting the SST cooling close to the storm track generates the weakest storm, accounting for about 47% reduction in the storm intensity. It is found that the storm intensity changes are well correlated with the air-sea temperature difference. The results have important implications for the use of coupled hurricane-ocean models for numerical prediction of tropical cyclones.