基于ICESat/GLAS高度计数据的SRTM数据精度评估——以青藏高原地区为例

为全面了解航天飞机雷达测图计划(shuttle Radar topography mission,SRTM)高程数据的精度及误差特征,利用精度更高的ICESat/GLAS激光高度计数据(简称ICESat高度计数据)为参照数据,以具有多种地貌类型的中国青藏高原地区为实验区,采用双线性插值算法分析了SRTM在中国青藏高原地区的高程精度,以及SRTM高程数据与地形因子(坡度和坡向)间的关系。实验结果表明:在青藏高原地区,ICESat高度计数据与相对应的SRTM高程数据高度相关,相关系数高达0.999 8;SRTM的系统误差为2.36±16.48 m,中误差(RMSE)为16.65 m;当坡度低于25°时,SRTM高程数据精度随坡度增大而显著降低。此外,相对于ICESat高度计数据,SRTM在青藏高原地区N,NW和NE方向的测量值偏高,在S,SE和SW方向的测量值偏低。     

西藏朱诺斑岩铜 钼 金矿区侵入岩锆石U Pb年龄、Hf同位素组成及其成矿意义

朱诺斑岩铜钼金矿位于冈底斯成矿带南缘,是近年来在冈底斯斑岩铜矿带最西端新发现的另一大型斑岩型铜-钼-金矿床,但一直以来对该矿区花岗岩年代学及成因分析缺乏系统的研究。本文选择矿区内主要岩浆岩体开展LA-ICP-MS锆石U-Pb定年,Hf同位素研究。获得黑云母花岗闪长岩锆石U-Pb年龄为14.14±0.32Ma,76 Hf/177 Hf介于0.282484~0.282750,εHf(t)介于-9.87~-0.49,二阶段模式年龄TDMC介于1.13~1.73Ga、似斑状二长花岗岩锆石U-Pb年龄为14.05±0.31Ma,176 Hf/177 Hf介于0.282633~0.282769,εHf(t)介于-4.61~0.21,二阶段模式年龄TDMC介于1.08~1.39Ga之间;角闪闪长玢岩锆石U-Pb年龄为14.10±0.29Ma,除4.1号为继承锆石外,其余测点176 Hf/177 Hf介于0.282607~0.282761,εHf(t)介于-5.53~-0.07,二阶段模式年龄TDMC介于1.10~1.45Ga之间。年代学与Hf同位素结果表明,朱诺斑岩铜矿与斑岩铜矿带中段和东段成岩成矿时代一致,集中在15~13Ma之间,指示了冈底斯在中新世的构造岩浆活动事件。花岗岩Hf同位素组成明显与中-东段斑岩矿床不同,具有富集Hf同位素特征以及古老二阶段模式年龄(1.08~1.73Ga)等特点,反映出朱诺矿区中新世岩浆岩源区与中-东段中新世斑岩矿床明显不同,可能指示古老拉萨地体的印迹。     

Re–Os and U–Pb Geochronology of Porphyry and Skarn Types Copper Deposits in Jilin Province,NE China

Jilin Province in NE China lies on the eastern edge of the Xing–Meng Orogenic Belt. Mineral exploration in this area has resulted in the discovery of numerous large, medium, and small sized Cu, Mo, Au, and Co deposits. To better understand the formation and distribution of both the porphyry and skarn types Cu deposits of the region, we examined the geological characteristics of the deposits and applied zircon U–Pb and molybdenite Re–Os isotope dating to constrain the age of the mineralization. The Binghugou Cu deposit yields a zircon U–Pb age for quartz diorite of 128.1 ± 1.6 Ma; the Chang'anpu Cu deposit yields a zircon U–Pb age for granite porphyry of 117.0 ± 1.4 Ma; the Ermi Cu deposit yields a zircon U–Pb age for granite porphyry of 96.8 ± 1.1 Ma; the Tongshan Cu deposit yields molybdenite Re–Os model ages of 128.7 to 130.2 Ma, an isochron age of 129.0 ± 1.6 Ma, and a weighted mean model age of 129.2 ± 0.7 Ma; and the Tianhexing Cu deposit yields molybdenite Re–Os model ages of 113.9 to 115.2 Ma, an isochron age of 114.7 ± 1.2 Ma, and a weighted mean model age of 114.7 ± 0.7 Ma. The new ages, combined with existing geochronology data, show that intense porphyry and skarn types Cu mineralization was coeval with Cretaceous magmatism. The geotectonic processes responsible for the genesis of the Cu mineralization were probably related to lithospheric thinning. By analyzing the accumulated molybdenite Re–Os, zircon U–Pb, and Ar–Ar ages for NE China, it is concluded that the Cu deposits formed during multiple events coinciding with periods of magmatic activity. We have identified five phases of mineralization: early Paleozoic (~476 Ma), late Paleozoic (286.5–273.6 Ma), early Mesozoic (~228.7 Ma), Jurassic (194.8–137.1 Ma), and Cretaceous (131.2–96.8 Ma). Although Cu deposits formed during each phase, most of the Cu mineralization occurred during the Cretaceous.     

东准噶尔喀拉萨依高分异A型花岗岩岩石成因及其地质意义

喀拉萨依岩体位于东准噶尔卡拉麦里碱性花岗岩带西端,由钾长花岗岩和二长花岗岩组成。LA-ICP-MS锆石U-Pb年龄为307.7±3.2Ma~309.6±2.0Ma,岩石高硅(Si O2平均含量为77.25%)、富碱(K2O+Na2O=7.50%~9.23%)、低铝(A/CNK=0.922~1.084),贫钙、镁;富集Rb、K、Th等大离子亲石元素及Zr、Hf等高场强元素和稀土元素,亏损Ba、Sr、Eu。10000Ga/Al值变化于7.00~10.35之间,总体上具碱性A型花岗岩的特征,是该岩带东侧老鸦泉—黄羊山A型花岗岩岩基经高程度分异演化的产物,并非前人认为的S型花岗岩。岩体具正εNd(t)值(3.5~6.0)和年轻的Nd模式年龄(TDM2=520~630Ma),Pb同位素投点位于造山带演化线附近,同位素数据显示岩浆来源于新生造山带下部的年轻地壳。从本次1∶5万区调成果看,卡拉麦里洋盆在晚泥盆世之前已经闭合,从晚泥盆世开始转入碰撞后的拉张环境,在晚石炭世早期进入板内裂谷发展阶段,因此喀拉萨依岩体应是该区板内裂谷阶段而非前人所说的后碰撞阶段的产物。     

陕南凤凰岭南缘变质镁铁质—超镁铁质侵入岩矿物学特征——对Fe-Ti成矿作用的指示

陕南凤凰岭南缘变质镁铁质—超镁铁质侵入岩为富含Fe、Ti等有用元素的含矿岩体。利用岩石地球化学方法、偏光显微镜和电子探针技术对该区镁铁质—超镁铁质侵入岩的岩石学、地球化学和矿物学特征进行了研究,并对Fe-Ti氧化物的形成、富集进行了初步探讨,对成岩、成矿作用具有一定的参考意义。结果表明,成矿镁铁质—超镁铁质侵入岩与非成矿镁铁质—超镁铁质侵入岩为不同岩浆源区、同期岩浆作用的产物,镁铁质—超镁铁质侵入岩类的Fe-Ti矿化作用与初始岩浆的源岩之间具有密切关系。Fe-Ti氧化物主要以钛铁矿和榍石的形式存在,局部见少量金红石。化学成分上,钛铁矿具富锰贫镁特征,本区Fe-Ti氧化物的形成和富集过程经历了岩浆结晶分异阶段和热液蚀变阶段。     

Characteristics of Fengyun-4A Satellite Atmospheric Motion Vectors and Their Impacts on Data Assimilation

The high observation efficiency, scanning speed and observation frequency of the Fengyun-4A (FY-4A) satellite indicates the progress of Chinese geostationary meteorological satellites. The characteristics of FY-4A atmospheric motion vectors (AMVs) derived from the high-level water vapor (WV-High) channel, mid-level water vapor (WV-Mid) channel, and infrared (IR) channel of FY-4A are analyzed, and their corresponding observation errors estimated. Then, the impacts of single-channel and multi-channel FY-4A AMVs on RMAPS-ST (the Rapid-refresh Multi-scale Analysis and Prediction System—Short Term) are evaluated based on one-month data assimilation cycling and forecasting experiments. Results show that the observation errors of FY-4A AMVs from the three channels have an explicit vertical structure. Results from the cycling experiments indicate that the assimilation of AMVs from WV-High produces more apparent improvement of the wind in the upper layer, while a more positive effect in the lower layer is achieved by the assimilation of AMVs from IR. Furthermore, the assimilation of AMVs from IR is more skillful for medium and moderate precipitation than from other channels owing to the good quality of data in the lower layer in the AMVs from IR. Assimilation of FY-4A AMVs from the three channels could combine the advantages of assimilation from each individual channel to improve the wind in the upper, middle and lower layers simultaneously.     

基于FY-3C微波辐射成像仪海表温度产品的偏差订正方法研究

提出一种针对FY-3C搭载的微波辐射成像仪（MWRI）海表温度产品的分段回归偏差订正方法,该方法通过引进气候态海表温度数据,建立与关联实测海表温度相匹配的回归模型,并通过对模型中关联变量的误差分析,选择最优样本进行分段回归,以实现对海表温度数据的重新估计。通过对MWRI海表温度数据的偏差订正试验表明,采用分段回归方法获得的订正结果无论在误差指标的空间分布还是时间序列上,都要明显优于采用传统概率密度函数偏差订正方法的结果。其中,采用概率密度函数方法订正后的海表温度产品误差标准差和均方根误差从订正前的0.9—1.0℃,减小到0.8℃左右,而采用分段回归方法获得相应的订正误差仅为0.6℃左右,订正效果有明显改善。      

GRAPES_3 km数值模式对流风暴预报能力的多方法综合评估

利用传统点对点TS评分、邻域法以及对象检验等多种方法,综合评估了GRAPES_3 km模式的对流风暴预报性能,分析了传统检验方法和新型空间检验方法对高分辨率模式评估的适用性和差异性,并同GRAPES_Meso模式的相关结果进行了对比。结果表明:对强对流典型个例的预报评估发现,综合应用多种评估方法能够更全面地评估对流风暴预报,获取模式在对流风暴初生和发展变化过程中的预报性能。使用点对点评分方法,GRAPES_3 km模式对风暴和强风暴的预报都明显优于GRAPES_Meso模式。对于模式不同起报时间的预报,起报时间越新预报效果越好。邻域TS方法考虑了时空偏差,GRAPES_3 km模式20和35 dBz采用时间邻域1 h,空间点对点时预报技巧最高;50 dBz时空偏差较大,时间邻域尺度为3 h技巧最高。分数技巧评分(FSS)显示GRAPES_3 km模式对不同阈值的对流风暴预报均能达到最低技巧尺度,而GRAPES_Meso模式对35 dBz以上的对流风暴基本无预报能力。对象检验可以评估对流风暴特征的预报效果,GRAPES_3 km模式的对流风暴个数预报与实况较为一致,但面积预报明显低估。该模式对β中尺度的对流风暴形态、位置等预报较好,对γ中尺度的对流风暴预报尺度偏大、形状偏圆、轴角偏小,对α中尺度的对流风暴预报尺度偏小、形状偏扁、轴角偏大。GRAPES_Meso模式的对流风暴面积、个数、尺度预报较实况均偏小,位置预报偏差较大,形状预报较实况偏圆、轴角偏小。传统点对点TS评分方法和新型空间检验方法对高分辨率模式对流风暴预报的检验结论一致,依然具有一定的参考价值,但新型空间检验方法能够提供更详细的评估信息。     

考虑地形的空间插值算法在复杂下垫面地区气温和降水精细化插值的评估

为探索考虑地形的空间插值算法在复杂下垫面地区的适用性,利用重庆市区域自动气象站2017年逐月观测数据,采用Cokriging、PRISM和IDW三种算法进行了1 km分辨率插值试验,并分析对比了其在月累积降水、月平均气温插值中的误差。结果表明,当样本数量较多时,平均气温的插值以PRISM误差相对较小,Cokriging和IDW效果相当;对累积降水的插值,PRISM和Cokriging效果相当,并略优于IDW。三种算法的误差均随样本数量减少而增大,但PRISM的平均气温误差增长相对最慢,累积降水误差增长相对最快。当样本数量较少时,PRISM对气温插值的误差相对最小,而Cokriging对降水的插值误差相对最小。进一步分析表明:PRISM能显著减少复杂地形区的气温插值误差;累积降水插值主要受降水强度及降水局地性影响,考虑地形的插值算法并无明显优势。