Impacts of SIS and CICE as Sea Ice Components in BCC_CSM on the Simulation of the Arctic Climate

Sea ice is a sensitive indicator of climate change and an important component of climate system models. The Los Alamos Sea Ice Model 5.0(CICE5.0) was introduced to the Beijing Climate Center Climate System Model(BCC_CSM) as a new alternative to the Sea Ice Simulator(SIS). The principal purpose of this paper is to analyze the impacts of these two sea ice components on simulations of basic Arctic sea ice, atmosphere, and ocean states. Two sets of experiments were conducted with the same configurations except for the sea ice component used, i.e., SIS and CICE. The distributions of sea ice concentration and thickness reproduced by the CICE simulations in both March and September were closer to actual observations than those reproduced by SIS simulations, which presented a very thin sea ice cover in September. Changes in sea ice conditions also brought about corresponding modifications to the atmosphere and ocean circulation. CICE simulations showed higher agreement with the reference datasets than did SIS simulations for surface air temperature, sea level pressure, and sea surface temperature in most parts of the Arctic Ocean. More importantly, compared with simulations with SIS, BCC_CSM with CICE revealed stronger Atlantic meridional overturning circulation(AMOC), which is more consistent with actual observations. Thus, CICE shows better performance than SIS in BCC_ CSM. However, both components demonstrate a number of common weaknesses, such as overestimation of the sea ice cover in winter, especially in the Nordic Sea and the Sea of Okhotsk. Additional studies and improvements are necessary to develop these components further.     

On the Study of Wave Propagation and Distribution in the Global Ocean

Based on the simulation with SWAN wave model and data of ERA-Interim from 1979 to 2016, how the waves propagate globally and why swell pools distribute in the eastern ocean were investigated in this study. The simulation results show that waves from North Pacific and North Atlantic mainly propagate southeastward or southward and swells generated in Southern Ocean spread northeastward. The waves from high latitude regions spread along the east coast and encounter in the tropical Pacific and Atlantic to form swell fronts around equator and then turn eastward. As the weak wind field with numerous swell inflows, swell pools are generally located on the eastern side of the ocean basin, where the swell index S are greater than 0.9 calculated using ERA-20 C data for the period of 1981–2010. Another remarkable feature is that swell pools move southward and split into two parts in winter, while they move northward and merge together in summer.     

Static Optimization of a Compliant Vertical Access Riser

The compliant vertical access riser(CVAR) is a new riser concept with good compliance; it can significantly reduce operating costs by eliminating the need for additional machines to operate wells directly on the platform. In this study, we determined the optimal riser parameters in terms of the stress and riser weight by optimizing the CVAR, and we compared the optimization results. A two-dimensional nonlinear static CVAR model was deduced according to the principles of virtual work and variation, and the model was verified using MATLAB. Design of experiments and Kriging method were used to reduce the number of sample calculations and improve the modeling accuracy. An appropriate selection of the multi-objective optimization problem(MOP) and the non-dominated sorting genetic algorithm helped to optimize the CVAR design. The non-dominated sorting genetic algorithm II was used to solve the Pareto frontier of the optimization model in order to provide decision makers with more choices for the optimization results. After optimizing the riser parameters, the geometry of the riser was smoother, and the stress and stress differences were greatly reduced; the maximum equivalent stresses at the top and bottom were reduced by 36.6% and 44%, respectively. In addition, the stress difference in the buoyancy block area was reduced by 20.9%, and the weight of the riser was increased significantly by 28.1%.     

Response of the western North Pacific subtropical ocean to the slow-moving super typhoon Nanmadol

Based on in-situ observation, satellite and reanalysis data, responses of the western North Pacific subtropical ocean(WNPSO) to the slow-moving category 5 super typhoon Nanmadol in 2011 are analyzed. The dynamical response is dominated by near-inertial currents and Ekman currents with maximum amplitude of 0.39 m/s and 0.15 m/s, respectively. The near-inertial currents concentrated around 100 m below the sea surface and had an e-folding timescale of 4 days. The near-inertial energy propagated both upward and downward, and the vertical phase speed and wavelength were estimated to be 5 m/h and 175 m, respectively. The frequency of the near-inertial currents was blue-shifted near the surface and redshifted in ocean interior which may relate to wave propagation and/or background vorticity. The resultant surface cooling reaches -4.35℃ and happens when translation speed of Nanmadol is smaller than 3.0 m/s.When Nanmadol reaches super typhoon intensity, the cooling is less than 3.0℃ suggesting that the typhoon translation speed plays important roles as well as typhoon intensity in surface cooling. Upwelling induced by the slow-moving typhoon wind leads to typhoon track confined cooling area and the right-hand bias of cooling is slight. The mixed layer cooling and thermocline warming are induced by wind-generated upwelling and vertical entrainment. Vertical entrainment also led to mixed layer salinity increase and thermocline salinity decrease, however, mixed layer salinity decrease occurs at certain stations as well. Our results suggest that typhoon translation speed is a vital factor responsible for the oceanic thermohaline and dynamical responses, and the small Mach number(slow typhoon translation speed) facilitate development of Ekman current and upwelling.     

基于GRACE-FO的微波与激光星间测距数据的重力场模型对比分析

为分析GRACE-FO微波测距系统KBR及激光干涉测距系统LRI对时变重力场结果的影响,以动力学方法为基础,分别采用KBR数据和LRI数据反演2019-01~2021-08的90阶无约束时变重力场模型APM_KBR和APM_LRI,并进行对比分析。 从重力场模型阶方差和等效水柱高的空间分布来看,在两类测距数据完整且质量较好的前提下,两者精度处于同一水平,而当发生较多月卫星机动或其他卫星事件时会使LRI数据缺失,从而导致APM_LRI模型在该月得到的等效水柱高时间序列信噪比略低。由后验残差结果可知,APM_LRI后验残差RMS比APM_KBR减少约50%,且在高频处(大于等于60 CPR)LRI的后验残差显著低于KBR。总体来说,在现有条件下,由于背景场模型等其他因素影响,两类测距数据反演重力场的阶方差和等效水柱高结果基本一致,但后验残差上LRI测距具有更低的噪声。因此,未来可直接使用LRI测距数据探测、分析较弱的地球物理信号。     

南梁煤矿多煤层开采地下水系统演化规律

煤层开采对所在矿区地下水系统有着重要影响。以往研究单煤层开采对地下水系统的影响较多,而对多煤层的影响研究甚少,特别对于我国西部缺水矿区。以南梁煤矿为例,运用地下水系统演化理论和岩石力学模拟等,对该矿井水文地质结构、矿井涌水变化规律、矿井地下水流场演变、矿井地下水化学成分变化等方面进行了综合分析研究,重构了多煤层开采条件下南梁矿井地下水系统流动模型,初步揭示了矿井水化学成分的演化机理。研究结果表明,2^-2煤单煤层开采时,顶板导裂带的最大发育高度为42.1 m,而2^-2和3^-1煤层重复开采时则增大为83.1 m,相应地应力、位移、塑性区范围后者也比前者增大许多。这揭示出多煤层重复采动明显增大了顶板导裂带的发育高度,加剧了矿井水文地质结构变异,进一步地,导水裂隙带改变了天然地下水渗流路径,沟通了不同含水层之间的水力联系,增强了地下水流动速度和水文地球化学作用,整体扩大了地下水流动系统的规模,从降雨入渗→导裂带渗流→各煤层涌水→井底水仓排水构成了一个自然-人工复合地下水流动模式。研究成果可以为南梁煤矿的矿井水害防治及水资源高效利...     

可容纳空间转换系统的定量模拟

为探讨盆地两侧可容纳空间和层序叠加模式的非一致性变化,利用SEDPAK二维层序模拟软件,通过考虑控制层序沉积过程的不同参数,对可容纳空间转换系统进行定量模拟并提出新的认识.模拟结果表明,盆地两侧同期层序叠加模式可以分为同步和非同步两种,同步叠加模式多出现在层序的低位体系域及高位体系域后期,非同步叠加模式多出现在层序的水进体系域及高位体系域初期.多种地质参数的合理组合,盆地两侧同期层序均可形成非同步叠加模式.非同步叠加模式对体系域界面的识别、层序对比具有一定的参考价值.     

岩溶地面塌陷预测模型初探

岩溶的发育程度、上覆岩土体性质是岩溶地面塌陷形成的基本条件;地下水位下降,地表水或降水入渗,震动荷载等动力扰动,是形成岩溶地面塌陷产生的诱发动力条件。本文以山东省泰安市岩溶地面塌陷区为例,讨论了岩溶地面塌陷的产生机理,并从受力情况对其进行了分析探讨,从而提出了岩溶地面塌陷的预测模型。本文还根据研究区的8个塌陷实例对模型进行了检验。结果表明,该模型的计算结果与实际情况基本吻合。     

塔河油田奥陶系油藏TK440井组注水压锥地质模式研究

塔里木盆地塔河油田奥陶系致密灰岩中的缝洞油藏储集空间主要为由天然裂缝和酸压裂缝沟通的一个或多个大型管道状洞穴构成的复杂系统.塔河油田四区TK440,TK449H和TK424C井等3口相互连通的油井见水直至水淹的开发过程表明产油层存在多个不同的边底水侵入通道,并不遵循由低到高逐渐见水的常规特征.在3口油井水淹之后,通过低部位的TK440井探索性注水使高部位TK424C井含水下降,而TK449H则变成不产水,使两口井的油产量明显提高.根据注水过程中的油水关系变化研究,提出TK440井组的储层概念模式和全新的注水压雏模式,即低部位注水可能实现对高部位水淹井从原水侵相反方向上补充刺余油体能量,导致高部位水淹井含水下降起到压制水锥的效果,从而达到提高采收率的作用.     

973计划资源环境领域数据汇交进展与数据分析

国家科技计划项目数据汇交对于促进科学数据的整合集成,增强国家科技投入的效益,提高我国科技计划项目管理水平具有重要意义。经过充分研究,科技部基础司选择国家重点基础研究发展计划(973计划)资源环境领域作为试点,于2008年启动数据汇交工作,并专门成立数据汇交中心。2008年,按照数据汇交计划制定、数据汇交准备、数据实体汇交、数据共享服务4个阶段的工作流程,分已结题、即将于2008年结题和在研3种类型开展汇交工作,完成了24个结题项目的数据汇交,汇交数据总量超过620 GB。为了保证数据汇交的可操作性和规范化,数据汇交中心制定了包括核心元数据规范、数据文档格式等7项标准规范;研制了数据汇交软件工具;建立了海量数据存储环境;设计开发了数据汇交共享服务网络平台。面向数据服务进一步的需要,分析了已汇交数据情况,具体分为5种类型,即定点长期监测和野外定点调查类、区域调查和统计分析类、模型计算类、试验化验分析类、客观或主观描述类,并提出了相应的数据展示策略。