在大洋环流模型中对应于惯性内波破碎的垂直混合的一个参数化方案

Based on the theoretical spectral model of inertial internal wave breaking(fine structure) proposed previously, in which the effects of the horizontal Coriolis frequency component f-tilde on a potential isopycnal are taken into account, a parameterization scheme of vertical mixing in the stably stratified interior below the surface mixed layer in the ocean general circulation model(OGCM) is put forward preliminarily in this paper. Besides turbulence, the impact of sub-mesoscale oceanic processes(including inertial internal wave breaking product) on oceanic interior mixing is emphasized. We suggest that adding the inertial internal wave breaking mixing scheme(F-scheme for short) put forward in this paper to the turbulence mixing scheme of Canuto et al.( T-scheme for short) in the OGCM, except the region from 15°S to 15°N. The numerical results of F-scheme by using WOA09 data and an OGCM(LICOM, LASG/IAP climate system ocean model) over the global ocean are given. A notable improvement in the simulation of salinity and temperature over the global ocean is attained by using T-scheme adding F-scheme, especially in the mid- and high-latitude regions in the simulation of the intermediate water and deep water. We conjecture that the inertial internal wave breaking mixing and inertial forcing of wind might be one of important mechanisms maintaining the ventilation process. The modeling strength of the Atlantic meridional overturning circulation(AMOC) by using T-scheme adding F-scheme may be more reasonable than that by using T-scheme alone, though the physical processes need to be further studied, and the overflow parameterization needs to be incorporated. A shortcoming in F-scheme is that in this paper the error of simulated salinity and temperature by using T-scheme adding F-scheme is larger than that by using T-scheme alone in the subsurface layer.     

南大洋混合层的时空变化特征

过去对南大洋的研究受限于长期观测的缺乏,而现在地转海洋学实时观测阵(Arrayfor Real-timeGeostrophicOceanography,Argo)项目自开始以来持续提供了高质量的温度盐度观测,使系统地研究南大洋海洋上层结构成为可能。本研究使用2000—2018年的Argo浮标观测数据,分析了南大洋混合层深度(Mixed Layer Depth, MLD)的时空分布特征。结果表明:南大洋混合层存在明显的季节变化,冬春两季MLD在副南极锋面北侧达到最高值并呈带状分布,夏秋两季由于海表加热导致混合层变浅,季节变化幅度达到400m以上;在年际尺度上,MLD受南半球环状模(Southern HemisphereAnnularMode,SAM)调制,呈现纬向不对称空间分布特征,这与前人结果一致;本文指出在所研究时段,南大洋混合层在90°E以东,180°以西有加深趋势,而在60°W以西,180°以东有变浅趋势,显示出偶极子分布特征,并且这种趋势特征主要是风场的作用。     

TOPEX/Poseidon高度计资料在全球海洋环流模式中的同化及分析

利用一个新的四维变分海洋资料同化系统LICOM-3DVM对TOPEX／Poseidon高度计资料进行了同化。该同化系统是在LASG／IAP气候海洋模式LICOM1．0的基础上建立起来的,所用的同化方法为三维变分映射资料同化方法3DVM。高度计观测资料是采取间接的方式进行同化,即先建立起二维海面高度距平场与三维温度场的统计关系,并由此通过观测的海面高度距平信息反演出“观测”的三维温度场,然后利用LICOM-3DVM四维变分同化系统将此反演的温度场同化到海洋模式中。作者设计了两组试验并对结果进行了比较分析,积分时间从1993年1月至2001年12月共9年时间。结果表明,由于上混合层相关系数较小,因此同化后海温没有改进;而在温跃层以及更深层次,同化后的海温均有很大程度的改善。从对赤道太平洋地区海温的气候态、季节变化和年际变化以及Nino3区的Nino指数的模拟情况来看,由于同化时将海面高度异常和海温异常之间的相关参数取为常数,没有考虑其季节和年际变化,因此,同化后对于赤道太平洋的年际变化没有改善。对于黑潮地区,由于模式的分辨率较低,同化之前没有很好地模拟出温度锋面,温度和盐度梯度都偏小,流速也偏弱;而同化后使得温度锋面和盐度梯度与WOA01更加吻合,流速增强。     

CMIP6通量距平强迫模式比较计划（FAFMIP）概况与评述

通量距平强迫模式比较计划（FAFMIP）是第六次国际耦合模式比较计划（CMIP6）的子计划之一。FAFMIP共设计了5组试验,利用CMIP6中的大气-海洋耦合环流模式（AOGCM）对海表施加动量通量、热通量和淡水通量扰动,旨在研究在CO₂强迫下模式模拟的海洋热吸收,由热膨胀引起的全球平均海平面上升,及由海洋密度和环流导致的动力海平面变化等方面的不确定性。     

TRMM降水数据在横断山区的精度

利用相关系数法和散点斜率法对横断山区1998~2011年之间月尺度的TRMM 3B43降水数据精度进行了检验。研究表明,TRMM 3B43降水数据与实测数据相关性很强,但是比实测降水量偏大33.9%。在横断山北部大雪山以东地区和南部香格里-贡山-德钦一带三江并流区TRMM 3B43数据误差较大。各个季节TRMM 3B43降水与实测值误差的空间分布有较大区别,但是都表现为北部沿经向分布,南部沿纬向分布的趋势;横断山区高海拔地区气象站点稀少和复杂的下垫面环境是产生观测误差的主要原因。     

石羊河中游径流损耗特征及其影响因素

以石羊河中游为研究区域,分析了1956-2009年的径流损耗特征,通过相对损耗率和Fisher最优分割法等确定了人类活动对径流损耗的显著影响拐点为1975年,明确了人类活动影响下的径流突变点,修正了当前研究的不足。根据人类活动对径流影响的方式及强度,将近50多年的径流损耗划分为4个阶段,定量与定性相结合分析了1956-2009年不同代际的自然因素和人文因素对径流损耗的影响量和贡献率。结果表明:人类活动对石羊河中游径流损耗的影响于20世纪70年代中期以后显著增加;2000年之前人文因素贡献率不断增加,自然因素贡献率相应减少,且自然因素影响量与出山径流显著相关。20世纪90年代以来,人类活动与自然过程导致的径流损耗贡献率持平,1995-1999年人类活动影响量达到6.33亿m³/a,上游来水量的 62.31%被人类直接消耗,此时径流损耗的人文因素贡献率达最大值71.52%;之后开始逐渐降低,表明近年来石羊河中游人水系统矛盾有趋于缓和的迹象。     

吉林省金珠镇营城组火山机构特征及时代探讨

对吉中地区金珠镇营城组火山机构进行了描述和分析,展示了该套地层的岩石组合及地层序列,确定了研究区出露的营城组地层为一套陆相酸性火山岩,同时进行了区域地层对比.通过同位素年代学分析,采用LA-ICP-MS测试方法获得206 pb/238U加权平均年龄(104.5±1.5) Ma,揭示了取样点处的该套地层火山岩形成年龄,确...     

Fine-resolution simulation of surface current and sea ice in the Arctic Mediterranean Seas

A fine-resolution model is developed for ocean circulation simulation in the National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Chinese Academy of Sciences, and is applied to simulate surface current and sea ice variations in the Arctic Mediterranean Seas. A dynamic sea ice model in elastic-viscous-plastic rheology and a thermodynamic sea ice model are employed. A 200-year simulation is performed and a dimatological average of a 10-year period (141st-150th) is presented with focus on sea ice concentration and surface current variations in the Arctic Mediterranean Seas. The model is able to simulate well the East Greenland Current, Beaufort Gyre and the Transpolar Drift, but the simulated West Spitsbergen Current is small and weak. In the March climatology, the sea ice coverage can be simulated well except for a bit more ice in east of Spitsbergen Island. The result is also good for the September scenario except for less ice concentration east of Greenland and greater ice concentration near the ice margin. The extra ice east of Spitsbergen Island is caused by sea ice current convergence forced by atmospheric wind stress.     

焦家金矿主矿区金矿石的赋存特征

焦家金矿带是莱州-招远金矿区最重要的金矿带之一,产状复杂且性状变化较大。以往研究主要针对矿物种类、载金矿物及其形状及嵌布关系等进行分析,缺乏对金粒矿物学、金矿物种类及金颗粒的成色研究。本文采用偏光/反光显微镜、体视显微镜、扫描电镜、能谱仪、X射线衍射仪等技术手段对焦家金矿主矿区深部开采的矿石样品进行分析,研究内容主要包括金赋存状态、金粒度、金形状、金矿物类型及不同大小金粒的成色特征。结果表明:载金矿物主要以黄铁矿、黄铜矿等硫化矿和石英、长石等脉石矿物为主。金赋存状态有裂隙金(64.82%)、包裹金(19.29%)、晶隙金(15.89%);黄铁矿、黄铜矿中金粒较大,连群分布占多数,脉石中金粒细小,孤立分布占多数。金矿物形状复杂,主要有球状金、三角形金、矩形金。金矿物种类丰富,以自然金、银金矿、自然银、含铁自然银为主,其次为金铜矿、螺硫银矿、碲化金银。金矿物粒度范围较大,大金颗粒可达到90~110 μm,小金颗粒只有2~3 μm。金银矿物的成色普遍较高,大粒金成色低,以银金矿为主,小粒金成色高,大都为自然金。本文丰富了焦家金矿矿物学研究的内容,为后续选冶工艺提供了调控依据和重要信息。     

Oceanic climatology in the coupled model FGOALS-g2: Improvements and biases

The present study examines simulated oceanic climatology in the Flexible Global Ocean-Atmosphere-Land System model, Grid-point Version 2 (FGOALS-g2) forced by historical external forcing data. The oceanic temperatures and circulations in FGOALS-g2 were found to be comparable to those observed, and substantially improved compared to those simulated by the previous version, FGOALS-g1.0. Compared with simulations by FGOALS-g1.0, the shallow mixed layer depths were better captured in the eastern Atlantic and Pacific Ocean in FGOALS-g2. In the high latitudes of the Northern Hemisphere, the cold biases of SST were about 1°C–5°C smaller in FGOALS-g2. The associated sea ice distributions and their seasonal cycles were more realistic in FGOALS-g2. The pattern of Atlantic Meridional Overturning Circulation (AMOC) was better simulated in FGOALS-g2, although its magnitude was larger than that found in observed data. The simulated Antarctic Circumpolar Current (ACC) transport was about 140 Sv through the Drake Passage, which is close to that observed. Moreover, Antarctic Intermediate Water (AAIW) was better captured in FGOALS-g2. However, large SST cold biases (>3°C) were still found to exist around major western boundary currents and in the Barents Sea, which can be explained by excessively strong oceanic cold advection and unresolved processes owing to the coarse resolution. In the Indo-Pacific warm pool, the cold biases were partly related to the excessive loss of heat from the ocean. Along the eastern coast in the Atlantic and Pacific Oceans, the warm biases were due to overestimation of shortwave radiation. In the Indian Ocean and Southern Ocean, the surface fresh biases were mainly due to the biases of precipitation. In the tropical Pacific Ocean, the surface fresh biases (>2 psu) were mainly caused by excessive precipitation and oceanic advection. In the Indo-Pacific Ocean, fresh biases were also found to dominate in the upper 1000 m, except in the northeastern Indian Ocean. There were warm and salty biases (3°C–4°C and 1–2 psu) from the surface to the bottom in the Labrador Sea, which might be due to large amounts of heat transport and excessive evaporation, respectively. For vertical structures, the maximal biases of temperature and salinity were found to be located at depths of >600 m in the Arctic Ocean, and their values exceeded 4°C and 2 psu, respectively.