青海尕林格铁矿床矽卡岩矿物学及蚀变分带

尕林格矽卡岩型铁多金属矿床位于青海省西部祁曼塔格成矿亚带的中部.矿体处于花岗闪长岩与滩间山群白云质大理岩接触带内以及外接触带沿NWW向断裂构造破碎带分布的大理岩和蚀变安山岩内.从侵入接触带往东,蚀变岩石分带性明显,主要划分出3种含矿矽卡岩带:含Fe的镁质矽卡岩带,含Fe、Cu的钙质矽卡岩带,含Fe、Pb、Zn的锰-钙质矽卡岩带.镁质矽卡岩带的矽卡岩矿物主要包括镁橄榄石及其蚀变矿物蛇纹石、粒硅镁石、透辉石、斜绿泥石,有关的金属矿物主要为磁铁矿.钙质矽卡岩带的主要矽卡岩矿物有绿钙闪石、铁阳起石、钙铁辉石、铁叶绿泥石、磷灰石、中长石,有关的金属矿物为磁铁矿、磁黄铁矿和少量黄铜矿.与锰-钙质矽卡岩有关的矽卡岩矿物有锰钙铁辉石、钙铁榴石、钙铝榴石、铁镁绿泥石、绿帘石、硅灰石、磷灰石、钙长石等,金属矿物有方铅矿、闪锌矿、磁铁矿和磁黄铁矿.通过对矿物组合的研究,确定了不同矿物组合的生成关系,划分了成矿期次,分为矽卡岩期、退化蚀变期和金属硫化物期,矽卡岩期又分为早、晚2个阶段.矽卡岩早期生成的石榴子石的化学成分端员以钙铝榴石(Gro67～ 99)为主,辉石的成分端员以透辉石(Di96～ 98)为主;矽卡岩期晚期阶段石榴子石的化学成分端员以钙铁榴石(Ad78～98)为主,辉石的成分端员以钙铁辉石(Hd68～ 84)为主.与中国东部矽卡岩型矿床进行对比后发现,锰-钙质矽卡岩带是一种向锰质矽卡岩带过渡的类型,对于寻找与锰质矽卡岩有关的矿化类型具有指示意义.     

基于逆推法和德尔菲法的地质灾害气象服务效益评估

地质灾害气象服务发挥越来越重要的作用,既有可量化的经济效益,也有不可忽视难以量化的、潜在的社会效益和生态效益。根据历年地质灾害调查与分析数据,运用逆推法结合德尔菲法,建立地质灾害气象服务效益评估模型,并根据已有研究及防汛经验对模型的系数进行量化。模型以地质灾害气象预报评分和灾害直接经济损失为输入,以防灾减灾效益值、防灾减灾效益百分率、气象服务直接经济效益、气象服务直接经济效益百分率为输出,可同时对各区域、各时间段的地质灾害过程进行气象服务效益分段评估,也可评估年度地质灾害气象服务效益。该模型在2017年地质灾害气象效益评估中表现良好,有一定指导意义。     

从中期天气过程看近几年长江中下游梅雨偏少的原因

长江中下游地区自2000年到2007年连续八年梅雨期降水偏少。本文从中期天气过程的角度分析了这八年不利于长江中下游梅雨的主要因子, 有东亚高空急流中准定常波动、 西太平洋暖池强对流活动和西北太平洋热带气旋活动。西太平洋副热带高压受这些因子的直接影响, 在中期时间尺度上副高环流形势发生变异, 从而造成长江中下游梅雨期的降水异常减少。在这八年的梅雨期中, 这些因子的特别异常, 更主要的由于它们的组合作用是导致近年来长江中下游梅雨偏少的直接原因。并且, 同样是长江中下游梅雨偏少, 不同因子的组合方式也影响着长江中下游梅雨偏少的降水异常分布背景。本文还初浅地讨论了在季节内预测长江中下游梅雨时对中期天气过程的参考。     

华南地区春季平流层入侵对对流层低层臭氧影响的模拟研究

利用中尺度大气化学模式WRF/Chem对2013年3月6日华南地区一次平流层入侵事件及其对对流层低层臭氧的影响进行模拟研究。通过加入UBC（Upper Boundary Condition）上边界处理方案,弥补WRF/Chem模式未考虑平流层臭氧化学反应的不足。结合臭氧探空廓线资料、地面O₃、CO、NO_x、相对湿度、温度和风速等观测资料以及再分析资料对模拟结果进行定量评估,结果表明模式能较为真实地模拟本次平流层入侵过程。模拟分析进一步揭示:（1）副热带高空急流是本次平流层入侵的主要原因。当华南地区处在副热带急流入口区左侧下沉区域时,平流层入侵将富含臭氧的干燥空气输送到对流层中低层。（2）本次平流层入侵对对流层低层臭氧收支有重要影响,导致香港地区近地层臭氧体积混合比浓度明显上升,如塔门站夜间臭氧浓度升高21.3 ppb（1 ppb=1×10-9）。地面气象场和化学物种的分析进一步确认了平流层入侵的贡献。（3）采用动力学对流层顶高度时零维箱式模型和Wei公式计算得到的平流层入侵通量相当,分别为-1.42×10-3 kg m-2 s-1和-1.59×10-3 kg m-2 s-1,这一结果与前人研究相吻合,且与采用热力学对流层顶高度计算所得到的结果具有可比性。     

Intensified Eastward and Northward Propagation of Tropical Intraseasonal Oscillation over the Equatorial Indian Ocean in a Global Warming Scenario

Northward propagation in summer and eastward propagation in winter are two distinguished features of tropical intraseasonal oscillation(TISO) over the equatorial Indian Ocean.According to numerical modeling results,under a global warming scenario,both propagations were intensified.The enhanced northward propagation in summer can be attributed to the enhanced atmosphere-ocean interaction and the strengthened mean southerly wind;and the intensified eastward propagation in winter is associated with the enhanced convection-wind coupling process and the strengthened equatorial Kevin wave.Future changes of TISO propagations need to be explored in more climate models.     

The tropical intraseasonal oscillation in SAMIL coupled and uncoupled general circulation models

Simulations of tropical intraseasonal oscillation(TISO) in SAMIL,the Spectral Atmospheric Model from the Institute of Atmospheric Physics(IAP) State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) coupled and uncoupled general circulation models were comprehensively evaluated in this study.Compared to the uncoupled model,the atmosphere-ocean coupled model improved the TISO simulation in the following aspects:(1) the spectral intensity for the 30-80-day peak eastward periods was more realistic;(2) the eastward propagation signals over western Pacific were stronger;and(3) the variance distribution and stronger signals of Kelvin waves and mixed Rossby gravity waves were more realistic.Better performance in the coupled run was assumed to be associated with a better mean state and a more realistic relationship between precipitation and SST.In both the coupled and uncoupled runs,the unrealistic simulation of the eastward propagation over the equatorial Indian Ocean might have been associated with the biases of the precipitation mean state over the Indian Ocean,and the unrealistic split of maximum TISO precipitation variance over the Pacific might have corresponded to the exaggeration of the double Intertropical Convergence Zone(ITCZ) structure in precipitation mean state.However,whether a better mean state leads to better TISO activity remains questionable.Notably,the northward propagation over the Indian Ocean during summer was not improved in the mean lead-lag correlation analysis,but case studies have shown some strong cases to yield remarkably realistic northward propagation in coupled runs.     

气候多层次的趋势预报

论述了子波气候诊断中的边界效应和非周期性对趋势预报的影响，在消除子波变换边界效应基础上，将气候层次理论和子波诊断技术相结合，提出了气候多层趋势预报法则和评判标准，最后利用若干气候资料进行了多层次趋势预报，试验表明，相似延伸法能有效地消除边界效应，提出了气候多层次趋势预报法是可行的。     

Earth System Model FGOALS-s2: Coupling a dynamic global vegetation and terrestrial carbon model with the physical climate system model

Earth System Models （ESMs） are fundamental tools for understanding climate-carbon feedback. An ESM version of the Flexible Global Ocean-Atmosphere-Land System model （FGOALS） was recently developed within the IPCC AR5 Coupled Model Intercomparison Project Phase 5 （CMIP5） modeling framework, and we describe the development of this model through the coupling of a dynamic global vegetation and terrestrial carbon model with FGOALS-s2. The performance of the coupled model is evaluated as follows. The simulated global total terrestrial gross primary production （GPP） is 124.4 PgC yr-I and net pri- mary production （NPP） is 50.9 PgC yr-1. The entire terrestrial carbon pools contain about 2009.9 PgC, comprising 628.2 PgC and 1381.6 PgC in vegetation and soil pools, respectively. Spatially, in the tropics, the seasonal cycle of NPP and net ecosystem production （NEP） exhibits a dipole mode across the equator due to migration of the monsoon rainbelt, while the seasonal cycle is not so significant in Leaf Area Index （LAI）. In the subtropics, especially in the East Asian monsoon region, the seasonal cycle is obvious due to changes in temperature and precipitation from boreal winter to summer. Vegetation productivity in the northern mid-high latitudes is too low, possibly due to low soil moisture there. On the interannual timescale, the terrestrial ecosystem shows a strong response to ENSO. The model- simulated Nifio3.4 index and total terrestrial NEP are both characterized by a broad spectral peak in the range of 2-7 years. Further analysis indicates their correlation coefficient reaches -0.7 when NEP lags the Nifio3.4 index for about 1-2 months.     

GPS、GLONASS、GALILEO三大系统间时间系统以及坐标系统的转换

在当今的三大定位导航系统中,它们各自用着自己的时间标准和坐标框架,这使得我们在进行多样数据处理与数据融合时很不方便。这就需要我们对此三个系统的时间系统以及坐标系统进行有效的转换,本文就是基于这样的需求,详细介绍并分析了此三大系统中各自的时间系统与坐标系统,通过对多方资料的综合、推证与计算,综合得出GPS、GLONASS以及GALILEO三大系统间的时间转换方法及坐标转换模型与公式。而且,这些转换公式与方法所得出的结果是完全能满足绝大多数用户的精度需求的。     

ECDIS与GIS数据集成研究

通过ECDIS与GIS技术的集成,可以利用GIS强大的空间数据处理能力和空间分析功能,促进ECDIS的应用与推广。本文通过对S-57标准与GIS数据模型的分析,研究了在GIS平台下建立S-57数据模型的方法,并在MapInfo平台下完成了S-57电子海图向GIS数据格式的转换,实现了ECDIS与GIS的数据集成。