基于阈值区间的海洋锋面提取模型

A model （Bayesian oceanic front detection, BOFD） of sea surface temperature （SST） front detection in satel- lite-derived SST images based on a threshold interval is presented, to be used in different applications such as climatic and environmental studies or fisheries. The model first computes the SST gradient by using a Sobel algorithm template. On the basis of the gradient value, the threshold interval is determined by a gradi- ent cumulative histogram. According to this threshold interval, front candidates can be acquired and prior probability and likelihood can be calculated. Whether or not the candidates are front points can be deter- mined by using the Bayesian decision theory. The model is evaluated on the Advanced Very High-Resolution Radiometer images of part of the Kuroshio front region. Results are compared with those obtained by using several SST front detection methods proposed in the literature. This comparison shows that the BOFD not only suppresses noise and small-scale fronts, but also retains continuous fronts.     

Genetic parameter estimation for juvenile growth and upper thermal tolerance in turbot (Scophthalmus maximus Linnaeus)

Twenty-six half-sib groups(53 full-sib families) of turbot, Scophthalmus maximus Linnaeus, were obtained by artificial insemination. We measured growth in the offspring(40–50 individuals/family) and subjected them to a thermal tolerance challenge over a period of 34 d. There was no significant difference in daily mortality(range: 0.580%–1.391%) between Days 1–13 during the thermal tolerance challenge. However, daily cumulative mortality increased rapidly between Days 14 and 29, especially on Days 15 and 16(20.232% and 34.377%, respectively). Mortality was highest on Day 16(14.145%). We estimated the genetic parameters using the average information restricted maximum likelihood method. We used a likelihood ratio test to evaluate the significance of effects in models with and without identity as an effect, and compared the final log-likelihoods(maximum log L). Lastly, we estimated phenotypic and genetic correlation between the upper thermal tolerance limit(UTT) and body weight(BW). In this study, the positive phenotypic correlation was low between UTT and BW(0.093±0.029). The genetic correlation between UTT and BW was negative(-0.044±0.239). The heritability for upper thermal tolerance was low(0.087±0.032), which is of approximately moderate heritability. The heritability for body weight was high(0.303±0.074). Our results suggest there is significant potential for improvement in the culture of turbot by selective breeding.     

不同浓度苯并（a）芘对杂色鲍抗氧化酶活性的影响

为阐释不同浓度苯并（a）芘[B（a）P]对杂色鲍（Haliotis diversicolor）的毒性效应,以0.02、0.04和0.08 mg/dm^33个质量浓度的B（a）P对杂色鲍进行水体暴露胁迫,7d后检测肌肉、外套膜、鳃、性腺、肾和肝胰腺的超氧化物歧化酶（SOD）、过氧化氢酶（CAT）、谷胱甘肽S-转移酶（GST）和谷胱甘肽过氧化物酶（GPx）活性及还原型谷胱甘肽（GSH）含量.结果显示：0.02 mg/dm^3的B（a）P暴露对杂色鲍抗氧化系统的影响不明显,而0.04、0.08 mg/dm^3的B（a）P则显著抑制了SOD、CAT和GPx酶活性以及GSH含量,同时对GST酶活性具有显著的诱导作用;实验还发现,不同组织抗氧化酶活性对B（a）P胁迫的敏感性响应存在较大差异,其中鳃、肾脏和肝胰腺的敏感性响应明显高于肌肉和外套膜.上述结果表明,苯并（a）芘暴露对杂色鲍抗氧化酶活性的影响具有明显的剂量-效应关系及组织差异性,杂色鲍的鳃、肾脏或者肝胰腺的抗氧化酶响应多环芳香烃胁迫的更敏感,可作为B（a）P污染的生物标志物.     

正二十面体全球剖分模型的Geometry Clipmap球面绘制

地形绘制一直是图形学研究的热点问题,尤其是球面地形绘制,其在形状和数据组织方面比平面地形绘制更加复杂。在已有球面地形绘制算法的基础上,提出一种基于Geometry Clipmap的球面地形剖分与绘制方法。该方法以构建正二十面体球面网格为基础,将正二十面体划分为十个菱形区域,采用球面菱形网格的剖分,针对每个菱形区域的周边网格进行重新剖分和组合,形成一个虚拟的3×3的大菱形区域,扩大了Clipmap的活动范围,并在一定程度上解决了Clipmap的跨边界问题。实验结果表明了本文方法的可行性和有效性。     

An Overview of BCC Climate System Model Development and Application for Climate Change Studies

This paper reviews recent progress in the development of the Beijing Climate Center Climate System Model(BCC-CSM) and its four component models(atmosphere,land surface,ocean,and sea ice).Two recent versions are described:BCC-CSM1.1 with coarse resolution(approximately 2.8125°×2.8125°) and BCC-CSM1.1(m) with moderate resolution(approximately 1.125°×1.125°).Both versions are fully coupled climate-carbon cycle models that simulate the global terrestrial and oceanic carbon cycles and include dynamic vegetation.Both models well simulate the concentration and temporal evolution of atmospheric CO_2 during the 20th century with anthropogenic CO2 emissions prescribed.Simulations using these two versions of the BCC-CSM model have been contributed to the Coupled Model Intercomparison Project phase five(CMIP5) in support of the Intergovernmental Panel on Climate Change(IPCC) Fifth Assessment Report(AR5).These simulations are available for use by both national and international communities for investigating global climate change and for future climate projections.Simulations of the 20th century climate using BCC-CSMl.l and BCC-CSMl.l(m) are presented and validated,with particular focus on the spatial pattern and seasonal evolution of precipitation and surface air temperature on global and continental scales.Simulations of climate during the last millennium and projections of climate change during the next century are also presented and discussed.Both BCC-CSMl.l and BCC-CSMl.l(m) perform well when compared with other CMIP5 models.Preliminary analyses indicate that the higher resolution in BCC-CSM1.1(m) improves the simulation of mean climate relative to BCC-CSMl.l,particularly on regional scales.     

自主导航地图的昨天、今天和明天EI北大核心CSCD

本文以无人驾驶技术的演化背景为出发点,总结自主导航地图,即高精地图的概念、与普通导航地图的区别、内容组成及数据来源。在此基础上,论述了高精制图流程的主要模块,包括先验图层的数据采集和更新、动态图层的实时构建、边缘计算、数据标准化和压缩服务。本文重点介绍了高精制图技术面临的4个研究难题及发展现状:①复杂驾驶环境的自动建模;②边角案例的数据采集;③伦理困境中的导航决策;④无人驾驶技术的安全性能评估。这些难题从不同的侧面挑战着高精地图自主导航能力的极限,需要政府立法机构、相关企业、研究机构和公众在全球范围内协同攻关。并指出,随着无人驾驶技术的不断完善,安全第一的研究重点将逐渐扩展成兼顾安全可信、环保节能和身心愉悦的移动体验,高精地图的结构化数码将衍生出多样化的适合人眼阅读的高清地图。如何充分提高导航数据的成本效益,实时生成高精地图和高清地图,同时为机器和人类提供最优服务,将成为新的研究热点。     

大数据环境下道路场景高时空分辨率众包感知方法EI北大核心CSCD

道路场景作为人类发展演变中最重要、最复杂、最典型的载体之一,是道路基础设施与活动行为共同构成的综合体,链接和构建“人地关系”。道路场景感知从二维抽象简略到三维精细丰富、从静态过去式向动态现在时发展,成为智慧城市、智能交通、无人驾驶的关键技术支撑,是我国新型城镇化战略、交通强国战略的核心技术保障。本文立足于时空交通大数据,提出基于道路场景静态基础设施“形”和动态活动行为“流”的高时空分辨率道路场景感知方法。该方法从静态路网“形”角度,以“点-线-面-体”等要素为研究脉络,构建高精度道路地图众包感知的理论体系;在活动行为“流”感知上,突破传统的点模式分析局限,发展了道路网络空间活动流的时空建模与多尺度分析方法。本文揭示了静态基础设施“形”结构与动态活动行为“流”模式交互作用下的道路场景演化规律,形成以“形”控“流”、借“流”定“形”、“形”“流”叠置的高时空精度道路场景众包感知理论体系,为智慧城市、智能交通的发展提供核心技术与数据支撑。     

北斗三号卫星经验型太阳光压模型分析与精化

太阳光压摄动作为在轨导航卫星受到的最大的非保守力,是卫星精密定轨的重要误差源。ECOM模型、ECOM2模型,这两种经验型光压模型被广泛应用于导航卫星定轨。然而,ECOM模型和ECOM2模型分别是针对GPS和GLONASS卫星设计的,并不完全适用于我国北斗三号(BDS-3)卫星。针对五参数ECOM模型在BDS-3卫星低太阳高度角时期轨道不连续性增大的问题,本文提出在 D方向引入一阶周期项来吸收未被模型化光压加速度。结果表明,引入一阶余弦周期项 D_c,能将低太阳高度角时期CAST卫星的切向、法向、径向重叠轨道误差分别减小约60%、52%、29%。针对ECOM2模型中 D_2c和 D₀、D_2s和 B_s之间存在的强相关性,本文提出了不估计 D_2c参数的八参数ECOM2模型和不估计 D_2c与 D_2s的七参数ECOM2模型。结果表明,相较九参数ECOM2模型,不估计 D_2c参数的八参数ECOM2模型能够将CAST卫星和SECM卫星径向重叠轨道误差分别减少约18%和27%。在此基础上,继续移除 D_2s后(七参数ECOM2),径向重叠轨道误差可进一步减小5.2%~8.5%。综合考察重叠轨道精度和SLR检核精度,不顾及 D_2c和 D_2s的七参数ECOM2模型表现最佳。CAST卫星和SECM卫星重叠轨道切向、法向、径向精度分别为5.0、3.4、1.4 cm和5.4、3.5、1.5 cm;SLR检核残差标准差分别为3.1~3.2 cm、4.4~4.7 cm。