Shear and Richardson number in a mode-water eddy

Measurements of stratification and shear were carried out as part of the EDDIES tracer release experiment in mode-water eddy A4 during the summer of 2005. These measurements were accomplished using both shipboard instrumentation and a drifting mooring. A strong relationship between shear intensity and distance from the center of the eddy A4 was observed with the shipboard ADCP. Diapycnal diffusivity at the SF₆ tracer isopycnal prior to and during the release was estimated from the drifting mooring to be 2.9×10⁻⁶ m² s⁻¹. Diffusivity increased by an order of magnitude to 3.2×10⁻⁵ m² s⁻¹ during the period of the final tracer survey in early September, which was similar to the value estimated from the tracer analysis for the whole experiment (3.5×10⁻⁵ m² s⁻¹, [Ledwell, J.R., McGillicuddy Jr., D.J., Anderson, L.A., 2008. Nutrient flux into an intense deep chlorophyll layer in a mode-water eddy. Deep-Sea Research II, this issue [doi:10.1016/j.dsr2.2008.02.005]].     

Predicting suitable habitat for the cold-water coral Lophelia pertusa (Scleractinia)

Ecological-niche factor analysis (ENFA) was applied to the reef framework-forming cold-water coral Lophelia pertusa. The environmental tolerances of this species were assessed using readily available oceanographic data, including physical, chemical, and biological variables. L. pertusa was found at mean depths of 468 and 480 m on the regional and global scales and occupied a niche that included higher than average current speed and productivity, supporting the theory that their limited food supply is locally enhanced by currents. Most records occurred in areas with a salinity of 35, mean temperatures of 6.2–6.7  °C and dissolved oxygen levels of 6.0–6.2 ml l⁻¹. The majority of records were found in areas that were saturated with aragonite but had low concentration of nutrients (silicate, phosphate, and nitrate). Suitable habitat for L. pertusa was predicted using ENFA on a global and a regional scale that incorporated the north-east Atlantic Ocean. Regional prediction was reliable due to numerous presence points throughout the area, whereas global prediction was less reliable due to the paucity of presence data outside of the north-east Atlantic. However, the species niche was supported at each spatial scale. Predicted maps at the global scale reinforced the general consensus that the North Atlantic Ocean is a key region in the worldwide distribution of L. pertusa. Predictive modelling is an approach that can be applied to cold-water coral species to locate areas of suitable habitat for further study. It may also prove a useful tool to assist spatial planning of offshore marine protected areas. However, issues with eco-geographical datasets, including their coarse resolution and limited geographical coverage, currently restrict the scope of this approach.     

北极海冰减少的气候效应研究

本文采用了OSU两层大气环流模式对特定的北极海冰进行数值模拟,研究北极海冰减少的气候效应.试验中海温一律取为气候平均值,北极海冰作为外强迫源影响大气,大气响应完全是环流内部调整的结果.本文对北极海冰减少后的大气环流特征进行了分析,特别是与中国的气温和降水之间的关系.     

海杂波微弱目标分形检测

The target on the sea surface is complex and difficult to detect due to the interference of backscattered returns from the sea surface illuminated by the radar pulse. Detrended fluctuation analysis （DFA） has been used successfully to extract the time-domain Hurst exponent of sea-clutter series. Since the frequency of the sea clutter mainly concentrates around Doppler center so that we consider to extract frequency-do- main fractal characterization and then detect a weak target within sea clutter by using the difference of frequency-domain fractal characterization. The generalized detrended fluctuation analysis （GDFA） is more flexible than traditional DFA owing to its smoothing action for the clutters. In this paper, we apply the GDFA to evaluate the generalized Hurst exponent of sea-clutter series in the frequency domain. The difference of generalized Hurst exponents between different sea-clutter range bins would be used to determine whether the target exists. Moreover, some simulations with the real IPIX radar data have also been demonstrated in order to suooort this conclusion.     

丹麦日德兰半岛西海岸典型岸段地貌概况及研究现状

通过实地调查和资料搜集,对丹麦日德兰半岛西海岸典型岸段的地貌类型和研究现状进行了总结。丹麦日德兰半岛西海岸岸线长度约为470 km,海岸类型可以分为无障壁海岸和有障壁海岸2大类。无障壁海岸以沙丘为主,并有海蚀崖,主要分布在斯卡恩(Skagen)到布劳万角(Blåøvands Huk);有障壁海岸地貌类型以障壁岛—潟湖、盐沼为主,主要分布在布劳万角到勒姆岛(Rømø),并向南进入德国。丹麦西海岸北部属于冰后期地壳回弹上升区,向南地壳回弹幅度逐渐减弱,至Ringkøbing峡湾地区变为地壳稳定区,再向南地壳变为下降区,因此,全新世地层中分别记录了不同的相对海面变化信息。距今7 150 a以来,北部的Skagen岬角地区的相对海面下降了16~25 m;Skallingen地区过去5 000 a间海面在现代海面附近波动,其后侧Ho Bugt盐沼地区4 000 a以来相对海面上升了4 m;过去8 000 a间,Rømø障壁岛的相对海面上升了15 m。欧洲学者在丹麦西海岸地区取得的典型成果包括:海面变化重建(包括海面变化标志点、泥炭层压实校正、定年等)、全新世地质环境演化、开放潮坪现代沉积定量研究等,为海岸带研究提供了有益参考。     

机载激光测深技术

首先基于海水的光学特性介绍了机载激光测深原理,然后根据国内外的研究现状介绍了机载激光测深系统的性能指标和系统构成,最后介绍了在海底地形测量、障碍物探测、近岸海洋工程建设等方面的应用。为从事机载激光测深系统研发和应用的技术人员提供相关原理和背景参考。     

Separate and interactive effects of eutrophication and climate variables on the ecosystem elements of the Gulf of Riga

There is currently a critical knowledge gap in how eutrophication and climate variables separately and interactively impact the dynamics of marine ecosystems. Based on long-term monitoring data we quantified the separate and combined impacts of nutrient loading, temperature, salinity, and wind conditions on zooplankton, zoobenthos and fish inhabiting a brackish water ecosystem in the Gulf of Riga. Changes in zoobenthos communities and herring stock were largely explained by climate variables. Zooplankton species were related to both eutrophication and climate variables, and models combining all environmental variables explained additional variation in zooplankton data compared to the separate models of climate and eutrophication. This suggests that zoobenthos communities and herring stock are largely driven by weather conditions, whereas the combined effect of weather and nutrient loads are likely the cause for dynamic zooplankton communities in the Gulf of Riga.     

海域勘界技术的应用

制订划界方案是海域勘界工作的核心工作,包括资料分析、初拟划界草案、草案协调和协商等阶段．大多数海域界线需要分段划分．勘界实践表明,不同界线及其不同区段的界线必须运用不同的划界技术,如垂直岸线法、水道（航道）中心线法、协议线法、习惯线法、中点连线法、用海界线法及岛礁中间线法等．草案协调是勘界工作的难点,必须采取背靠背协调、面对面协商及反复沟通等方法,促成双方达成共识．     

Winkler's method overestimates dissolved oxygen in seawater: Iodate interference and its oceanographic implications

Dissolved oxygen in seawater has been determined by using the Winkler's reaction scheme for decades. An interference in this reaction scheme that has been heretofore overlooked is the presence of naturally occurring iodate in seawater. Each mole of iodate can result in an apparent presence of 1.5 mol of dissolved oxygen. At the concentrations of iodate in the surface and deep open ocean, it can lead to an overestimation of 0.52 ± 0.15 and 0.63 ± 0.05 μmol kg^− 1 of oxygen in these waters respectively. In coastal and inshore waters, the effect is less predictable as the concentration of iodate is more variable. The solubility of oxygen in seawater was likely overestimated in data sources that were based on the Winkler's reaction scheme for the determination of oxygen. The solubility equation of García and Gordon [Garcia H.E., Gordon, L.I., 1992. Oxygen solubility in seawater: Better fitting equations. Limnol. Oceanogr. 37, 1307–1312] derived from the results of Benson and Krause [Benson, F.B., Krause, D. Jr., 1984. The concentration and isotopic fractionation of oxygen dissolved in freshwater and seawater in equilibrium with the atmosphere. Limnol. Oceanogr. 29, 620–632] is free from this source of error and is recommended for general use. By neglecting the presence of iodate, the average global super-saturation of oxygen in the surface oceans and the corresponding efflux of oxygen to the atmosphere both have been overestimated by about 8%. Regionally, in areas where the degree of super-saturation or under-saturation of oxygen in the surface water is small, such as in the tropical oceans, the net air–sea exchange flux can be grossly under- or overestimated. Even the estimated direction of the exchange can be reversed. Furthermore, the presence of iodate can lead to an overestimation of the saturation anomaly of oxygen in the upper ocean attributed to biological production by 0.23 ± 0.07%. AOU may have been underestimated by 0.52 ± 0.15 and 0.63 ± 0.05 μmol kg^− 1 in the surface mixed layer and deep water, while preformed phosphate and preformed nitrate may have been overestimated by 0.004 ± 0.001 and 0.06 ± 0.02 μmol kg^− 1 in the surface mixed layer, and 0.005 ± 0.0004 and 0.073 ± 0.006 μmol kg^− 1 in the deep water. These are small but not negligible corrections, especially in areas where the values of these parameters are small. At the increasing level of sophistication in the interpretation of oxygen data, this source of error should now be taken into account. Nevertheless, in order to avoid confusion, an internationally accepted standard needs to be adopted before these corrections can be applied.