Estimates of potential new production in the Java-Sumatra upwelling system

The Java-Sumatra upwelling is one of the most important upwelling systems in the Indian Ocean, with maximum upwelling intensity in July through August. To estimate the nitrate supplied by upwelling, we developed a three-dimensional hydrodynamic model to calculate the mean vertical speed and determine the depth of upwelling. We used in-situ vertical nitrate profiles to assess nitrate concentration in the upwelled waters, and calculated the nitrate supply as the product of nitrate concentration and vertical transport obtained from the numerical model. The calculated result represents potential new production generated in the upwelling region. We found that on the event time scale (monthly) of Java-Sumatra upwelling, water brought to the surface originated from locations 100-m deep, giving a nitrate supply of 93.77×10 3mol/s and potential new production of 1.02×10 14gC/a.     

南海卫星遥感海表湍流热通量资料的评估

利用现场观测资料、OAFlux的湍流热通量,评估了JOFURO（Japanese Ocean Flux Data Sets with use of Remote Sensing Observations）、HOAPS-2（Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite data version 2）、GSSTF-2（Goddard Satellite-Based Surface Turbulent Fluxes version 2）3种卫星资料在南海区域的表现。3套卫星资料可以说各有千秋,总体而言JOFURO和GSSTF-2资料的空间分布和时间变化与OAFlux资料整体上较一致,但是这两套资料都在很大程度上低估了海盆平均的潜热和感热,前者低估约10%~20%,后者则可以达到50%以上。HOAPS-2资料与现场观测资料有较好的一致性,但在时间变化上和其他资料的差异则较大,特别是感热方面,季节变化振幅、年际变化位相等都与其他资料不一致。通过比较我们发现,海南岛周边以及南海南部区域估算的潜热和感热释放偏小是造成整体偏小的主要原因。     

内生金银多金属矿床与地层的含矿性

地层含矿性问题涉及到成矿理论和找矿方向。本文通过对冀北内生金、银多金属矿产出的空间分布研究发现,矿床赋存地层自太古、元古至中生界均有,并不存在明显的层控性。“萃取”观点的产生和形成主要有三方面原因：一是受“矿源层”思想的影响;二是上世纪80年代前分析测试技术有限（特别是金元素）;三是样品数量少,取样范围大多为矿化波及区域。研究表明,成矿物质更可能来自地球深部,金、银多金属是通过地幔热柱-地幔亚柱-幔枝构造多级演化将深部矿质带到浅部、成矿。     

大洋环流模式的温盐表面边界条件处理及其影响研究评述

对常用的大洋环流模式温度和盐度的表面边界条件处理方案进行了总结,在此基础上,讨论了不同处理方案对大洋环流变化模拟结果的影响,指出了不同边界条件各自的适用范围。较为典型的温度边界条件包括Haney型边界条件、Rahmstorf等恢复型边界条件、Schopf零热容量条件以及通量条件;盐度边界条件主要包括恢复型边界条件、通量型边界条件以及自然边界条件。边界处理方案之不同,不仅影响到模式气候态和年际变率的模拟,还影响到一些典型大洋环流变化现象的模拟结果,如极地盐跃层突变现象、海洋层结强烈翻转的冲刷现象、热盐环流的多平衡态现象以及淡水冲击对热盐环流的影响等问题。     

一个冰气相互作用数值模拟结果的可能统计解释

基于一个全球海-冰-气耦合模式的数值模拟结果,选取冬季格陵兰海海表面温度(SST)、海冰密集度、海表面感热通量等物理量以及3个相关区域海平面气压分别作经验正交函数展开,取第一模时间系数作相关分析。结果表明,上一年海冰密集度偏大(小)与来年的SST偏低(高)相联系,但二者同期相关性最大。当海气热通量交换变化超前一年时,其与SST相关性最大。模式最低层大气温度与海洋表面热通量之间的同时相关性最大,冬季模式最低层气温偏高(低)与海洋表面失去的感热、潜热通量偏少(多)相联系。气温、比湿都和冰岛低压区及格陵兰海的海平面气压相关性最强,冰岛低压气压偏低(高)与模式最低层气温和比湿偏高(低)相联系。所以,在海-冰-气年际尺度的相互作用中,主要关系是大气环流调整造成大气中云量和低层气温、湿度变化,进而影响海气界面上的通量交换,造成SST的变化。SST变化决定着海冰范围及海冰密集度的变化,但海冰变化时通过相变潜热的释放或吸收反过来对SST变化有较明显影响。     

内蒙古科尔沁沙地临界起沙阈值的范围确定

临界起沙阈值可表征地表土壤的可蚀性,是风蚀起沙研究中非常重要的物理量之一。基于微气象学方法,将沙尘浓度和垂直沙尘通量均开始增加且至少持续0.5 h所对应的摩擦速度(或风速)确定为临界起沙摩擦速度u_*t(或临界起沙风速U_t)。利用内蒙古科尔沁沙地地区2010-2013年春季大气环境综合观测资料,分析了不同沙尘天气过程(扬沙、沙尘暴和强沙尘暴)起沙阶段沙尘浓度和垂直沙尘通量随摩擦速度的演变特征,精细确定了该地区临界起沙摩擦速度(u_*t)和临界起沙风速(U_t)的范围分别为0.45±0.20和6.5±3.0 m/s,同时讨论了不同起沙判据对确定临界起沙阈值产生的影响。相比而言,采用的起沙判据尽可能地排除了沙尘输送和沉降过程的影响,适用于不同的沙尘天气类型,使沙尘粒子进入大气的起沙结果更趋于合理,其结果可为建立统一、合理的起沙判据提供参考。     

The flexible global ocean-atmosphere-land system model, Grid-point Version 2: FGOALS-g2

This study mainly introduces the development of the Flexible Global Ocean-Atmosphere-Land System Model: Grid-point Version 2 (FGOALS-g2) and the preliminary evaluations of its performances based on results from the pre-industrial control run and four members of historical runs according to the fifth phase of the Coupled Model Intercomparison Project (CMIP5) experiment design. The results suggest that many obvious improvements have been achieved by the FGOALS-g2 compared with the previous version,FGOALS-g1, including its climatological mean states, climate variability, and 20th century surface temperature evolution. For example,FGOALS-g2 better simulates the frequency of tropical land precipitation, East Asian Monsoon precipitation and its seasonal cycle, MJO and ENSO, which are closely related to the updated cumulus parameterization scheme, as well as the alleviation of uncertainties in some key parameters in shallow and deep convection schemes, cloud fraction, cloud macro/microphysical processes and the boundary layer scheme in its atmospheric model. The annual cycle of sea surface temperature along the equator in the Pacific is significantly improved in the new version. The sea ice salinity simulation is one of the unique characteristics of FGOALS-g2, although it is somehow inconsistent with empirical observations in the Antarctic.     

AERMOD模型在葫芦岛市的应用研究

应用AERMOD模型,基于葫芦岛市2016年污染源排放清单和相关参数,模拟了葫芦岛市SO_2和NO_2的地面浓度,并与葫芦岛市4个大气环境监测站的对应资料进行对比验证。结果表明:SO_2和NO_2模拟的平均值均略小于监测值,造成这种差异的原因较多,但主要原因是模拟中所用的污染源排放清单还不够完善。而SO_2的监测和模拟结果的相关性比NO_2略好,其中SO_2总的相关系数的平均值为0.71,而NO_2为0.64;4个监测点位SO_2总的平均值的相对误差为-19.4%,4个监测点位NO_2总的平均值的相对误差为-25.6%。在SO_2的模拟结果中,冬季和春季监测和模拟结果的相关性相对较好,其中冬季监测和模拟结果的相关系数平均值为0.79;而NO_2的模拟结果中,冬季和秋季监测和模拟结果的相关性相对较好,其中冬季监测和模拟结果的相关系数平均值为0.69。     

大气模式中季节内振荡特征对不同海温强迫场的响应

利用美国国家大气研究中心 (NCAR)的全球大气模式 (CCM3) ,分别以月平均和周平均海表温度 (SST)为强迫场进行 2个积分试验 (称为 CCMM和 CCMW试验 )。积分结果与观测资料的对比分析发现 ,CCM3模拟大气季节内振荡 (MJO)信号的强度均较观测资料偏弱 ,而其中以CCMW模拟的强度略大而较接近真实。表明 SST强迫场包含更真实的季节内变化信息对提高模拟 MJO强度有作用。 CCMM与 CCMW模拟 MJO活动的时间位相均与观测差别较大 ,直接原因在于 CCM3中降水季节内振荡与 SST变化的相关关系不正确 ,而更根本的问题在于大气模式无法反映资料分析发现的季节内时间尺度的 SST与大气的相互作用。     

Long-term behaviors of two versions of FGOALS2 in preindustrial control simulations with implications for 20th century simulations

Climate drift in preindustrial control (PICTL) simulations can lead to spurious climate trends and large uncertainties in historical and future climate simulations in coupled models. This study examined the long-term behaviors and stabilities of the PICTL simulations in the two versions of FGOALS2 (the Flexible Global Ocean-Atmosphere-Land System model Version 2), which have been submitted to the Coupled Model Inter-comparison Project Phase 5 (CMIP5). As verified by examining time series of thermal fields and their linear trends, the PICTL simulations showed stable long-term integration behaviors and no obvious climate drift [the magnitudes of linear trends of SST were both less than 0.04oC (100 yr)-1] over multiple centuries. The changed SSTs in a century (that corresponded to the linear trends) were less than the standard deviations of annual mean values, which implied the internal variability was not affected. These trend values were less than 10% of those of global averaged SST from observations and historical runs during the periods of slow and rapid warming. Such stable long-term integration behaviors reduced the uncertainty of the estimation of global warming rates in the historical and future climate projections in the two versions of FGOALS2. Compared with the trends in the Northern Hemisphere, larger trends existed in the SST and sea ice extents at the middle to high latitudes of the Southern Hemisphere (SH). To estimate the historical and future climate trends in the SH or at some specific regions in FGOALS2, corrections needed to be carried out. The similar long-term behaviors in the two versions of FGOALS2 may be attributed to proper physical processes in the ocean model.