Assessing regression‐based statistical approaches for downscaling precipitation over North America

This paper assesses linear regression‐based methods in downscaling daily precipitation from the general circulation model (GCM) scale to a regional climate model (RCM) scale (45‐ and 15‐km grids) and down to a station scale across North America. Traditional downscaling experiments (linking reanalysis/dynamical model predictors to station precipitation) as well as nontraditional experiments such as predicting dynamic model precipitation from larger‐scale dynamic model predictors or downscaling dynamic model precipitation from predictors at the same scale are conducted. The latter experiments were performed to address predictability limit and scale issues. The results showed that the downscaling of daily precipitation occurrence was rarely successful at all scales, although results did constantly improve with the increased resolution of climate models. The explained variances for downscaled precipitation amounts at the station scales were low, and they became progressively better when using predictors from a higher‐resolution climate model, thus showing a clear advantage in using predictors from RCMs driven by reanalysis at its boundaries, instead of directly using reanalysis data. The low percentage of explained variances resulted in considerable underestimation of daily precipitation mean and standard deviation. Although downscaling GCM precipitation from GCM predictors (or RCM precipitation from RCM predictors) cannot really be considered downscaling, as there is no change in scale, the exercise yields interesting information as to the limit in predictive ability at the station scale. This was especially clear at the GCM scale, where the inability of downscaling GCM precipitation from GCM predictors demonstrates that GCM precipitation‐generating processes are largely at the subgrid scale (especially so for convective events), thus indicating that downscaling precipitation at the station scale from GCM scale is unlikely to be successful. Although results became better at the RCM scale, the results indicate that, overall, regression‐based approaches did not perform well in downscaling precipitation over North America. Copyright © 2013 John Wiley & Sons, Ltd.     

用ECMWF数值预报产品预报台风路径

为提高台风预报效果,并使其客观定量,本文运用ECMWF数值预报(0 h(实况场)～168 h)产品,以涡度中心为基础,在气旋性涡旋的格区中,找准恰当的"扭角",用计算机图上作业程序确定台风位置,平均误差84 km,表明本方案有其优越之处.在预报过程中,对涡度中心的阈值和搜寻半径系数的选定,结合实际计算后的距离误差和可预报率作了些讨论.逐年运用效果统计表明,本文提出的方案有着良好的应用前景.     

中生代复杂构造体系的成矿过程与成矿作用——以华北大陆北缘西拉木伦钼铜多金属成矿带为例

西拉木伦钼铜多金属成矿带处于华北克拉通与中亚造山带的过渡区,是古生代古亚洲构造域与中生代西太平洋构造域的交汇部位。在中生代受多种构造体系的制约,如中亚造山带造山后期局部伸展、蒙古-鄂霍茨克俯冲-碰撞造山作用、古太平洋板块的向西俯冲和中国东部岩石圈减薄事件的影响等。西拉木伦成矿带成矿斑岩锆石U-Pb年龄和辉钼矿Re-Os同位素年龄资料显示,钼铜矿成岩成矿主要集中在260～220Ma、180～150Ma和140～120Ma三个时期。结合华北克拉通北缘构造演化历史,推测这三期成矿作用主要与造山后局部伸展、构造体系转折和陆内伸展(岩石圈减薄)过程有关,并相应建立了"车户沟式"、"鸡冠山式"和"敖伦花式"三类斑岩钼铜矿床成矿模式。进一步研究表明,岩石的酸碱性、岩浆来源、岩浆的氧逸度、岩浆演化方式、构造背景等因素,制约了成矿作用的专属性。     

珠江口外陆架表层沉积物的地球化学分区

根据249个表层沉积物样品的Ca,Al,N,P,Mg,Fe,Mn,Ti和有机碳的测定数据,利用稳健RQ型主分量分析及Q型聚类分析方法,对珠江口外陆架表层沉积物进行了地球化学分类,并将该陆架区划分成陆源细碎屑沉积区、经叠加改造的残留泥砂质沉积区、生物碎屑沉积区以及高能环境下的石英砂质沉积区。结果表明了稳健统计方法相对于传统统计方法的优越性,以及采用稳健主分量的Q载荷进行聚类分析相对于用原始变量进行聚类分析的优越性。     

长江口泥沙絮凝静水沉降动力学模式的试验研究

细颗粒泥沙在咸水中的絮凝沉降是河流泥沙向海输送过程中在河口区发生的重要现象，是河口拦门沙形成与发育的主要原因之一。本文根据室内模拟试验研究，提出长江口泥沙絮凝静水沉降的二级动力学模式，通过该式求得不同泥沙含量和盐度情况下絮凝沉降的衰减系数，半衰期和平均沉降速率等动力学参数，定量地分析泥沙含量和盐度对泥沙絮凝沉降过程的影响。     

利用地表电阻率校正大地电磁静态偏移

基于大地电磁静态偏移的基本原理,通过对大量实测资料的处理,提出了一种比传统静态校正方法更有效地压制静态偏移的方法---静态偏移的标定校正法.其核心内容是利用岩性测试的电性参数和测点所在位置表层或浅层地层去标定视电阻率曲线的首支,并利用人机交互式可视化静态偏移校正软件去改正视电阻率曲线.经过40多条测线共700多个测点的实际应用,证明该方法是目前较理想的静态偏移校正方法.     

关于太古宙—元古宙界线的新认识

２５００Ｍａ作为太古宙－元古宙界线的提议被２８届国际地质大会通过，但并不意味着２５００Ｍａ作为太古宙－元古宙界线是永恒的最佳选择。事实上，太古宙－元古宙界线划在何处还存在很多争论，现行的界线划分依据也期分期标准相悖。大量资料表明），２３００Ｍａ时曾发生全球地质环境的灾变，灾变前后的地质作用（尤其是表生地质作用），有明显变化，导致了太古宙与元古宙的一系列差别。该灾变与元古宙－显生宙，古生代－中生代，     

新矿物—彭志忠石的发现及研究

彭志忠石产于湖南安化白钨矿区,是一种富含镁、锡、铝的复杂氧化物。矿物为浅黄褐色、浅黄色,少量无色,晶体呈六方板状。晶体化学式为:(Mg,Zn,Fe,Al)_4(Sn,Fe)_2(Al,□)_(10)O_(22)(OH)_2,空间群P_3ml,a=5.692(5)A,c=13.78(2)A,V=386.7A~3,Z=1。D=4.22(3)g/cm~3,H≥8,一轴正晶,ω=1.802(2),ε=1.814(2)。     

新矿物—盈江铀矿

新矿物产于云南盈江县的一个铀矿点氧化带,与多种铀矿物共生。该矿物为致密状集合体,黄色,透明至半透明。斜方晶系,空间群C222_1,晶胞参数a=13.73(1),b=15.99(1),c=17.33(2);V=3804(5);Z=8。计算比重4.17。二轴晶负光性,2V计算=83°,α=1.669;β=1.692;γ=1.710。紫外光照射发弱绿黄色荧光。化学成分UO_376.54,P_2O_511.10,K_2O 2.46,CaO 1.57,ThO 0.51,RE_2O_3 0.45,H_2O 7.37%。矿物化学式为(K_(1-x),Ca_x)(UO_2)_3 (PO_4)_2 (OH)_(1+x)·4H_2O,文中还给出X射线粉晶衍射数据。