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库克群岛海域海洋环境因子对长鳍金枪鱼渔获率的影响 总被引:2,自引:0,他引:2
为了提高延绳钓渔业中长鳍金枪鱼(Thunnus alalunga)的渔获率,需了解海洋环境因子对其渔获率的影响。利用2013年9月8日-2013年12月31日库克群岛海域延绳钓渔业调查数据,包括:钓钩作业深度,温度、叶绿素a浓度和海流垂直剖面数据,作业参数,渔获统计数据等,采用逐步回归的方法建立钓钩作业深度预测模型,利用统计和聚类分析的方法分析长鳍金枪鱼渔获率与海洋环境因子的关系。结果表明:在库克群岛附近海域,长鳍金枪鱼渔获率较高的水层、温度、叶绿素a浓度、东西方向、南北方向、垂直方向、水平方向的海流分别为160~200 m、21.0~23.9℃、0.040~0.159μg/L、0~0.1 m/s、0.1~0.2 m/s、0.08~0.10 m/s和0.1~0.2 m/s。在该海域作业时,建议在长鳍金枪鱼渔获率较高的水层、温度、叶绿素a浓度、东西方向、南北方向、垂直方向和水平方向的海流范围内增加钓钩投放数量。 相似文献
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发展剖面探测浮标技术,支持我国参与ARGO计划 总被引:3,自引:2,他引:3
本文介绍了国际ARGO计划的背景和科学意义,分析了ARGO计划对我国的正负面影响和我们应采取的对策,分析了ARGO计划使用的自持式剖面循环探测浮标的技术要求和关键技术,介绍了国外已有的几种自持式剖面浮标和国内正在研制的自持式剖面浮标。 相似文献
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Comparative analysis of the North Atlantic surface circulation reproduced by three different methods
K. V. Lebedev A. S. Sarkisyan O. P. Nikitin 《Izvestiya Atmospheric and Oceanic Physics》2016,52(4):410-417
Calculation results are presented for long-term mean annual surface currents in the North Atlantic based on direct drifter measurements and numerical experiments with the ocean general circulation model using both climatic arrays of hydrological data World Ocean Atlas 2009 and Argo profiling data. The calculations show that the technique suggested for model calculations of oceanographic characteristics of the World Ocean with the use of Argo data significantly improves the climatic fields of the temperature and salinity even on a coarse grid. The comparison of the model calculation results with drifter data showed that the temperature and salinity fields found from Argo data with the use of data variational interpolation on a regular grid allow the calculation of realistic currents and can be successfully used as initial conditions in hydrodynamic models of the ocean dynamics. 相似文献
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V. A. Alexeev V. V. Ivanov I. A. Repina O. Yu. Lavrova S. V. Stanichny 《Izvestiya Atmospheric and Oceanic Physics》2016,52(9):1064-1077
We discuss the possibility of detecting deep convection in the Lofoten Basin of the Norwegian Sea based on the eddy structures revealed from the satellite data. Satellite altimetry, SAR imagery, and MODIS satellite spectral radiometer sea-surface temperature (SST) data are used in the analysis, along with the data of oceanographic Argo floats. It is shown that the eddies identified from the satellite data correspond to the convective cells in the same region according to the data of the Argo floats. We consider several examples of the summer eddy and one winter eddy and the corresponding structures in the ocean measured by the Argo floats when they were located close to the identified eddies. As this method develops and improves, it can be used for the analysis of the dynamic of oceanic eddies in the region of the Lofoten Basin, and possibly in other regions with active deep convection. 相似文献
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基于观测的南海越南沿岸次表层涡旋 总被引:1,自引:0,他引:1
In this study, subsurface eddies near the Vietnam coast of the South China Sea were observed with in situ observations, including Argo, CTD, XBT and some processed and quality controlled data. Based on temperature profiles from four Argo floats near the coast of Vietnam, a subsurface warm eddy was identified in spring and summer. The multi-year Argo and Global Temperature and Salinity Profile Programme(GTSPP) data were merged on a seasonal basis based on the data interpolating variational analysis(DIVA) method to reconstruct the three-dimensional temperature structure. There is a warm eddy in the central subsurface at 12.5°N, 111°E below300 m depth in spring, which does not exist in autumn and is weak in winter and summer. From CSIRO Atlas of Regional Seas(CARS) and Generalized Digital Environment Model(GDEM) reanalysis data, this subsurface warm eddy is also verified in spring. 相似文献
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利用2006年Argo浮标资料分析吕宋海峡以东海域水团季节特性和混合层的月平均变化规律;并分别利用Argo多年季节平均资料与2006年资料,以秋季为例,基于P矢量方法计算该区域流场;同时考虑风生流的影响,将所得结果分别与利用Levitus和高度计资料计算的流场进行比较。结果表明,水团特性季节变化不明显,春冬季表层水团与夏秋季比较表现为低温高盐;次表层、中层和深层季节变化不大;混合层深度明显表现为冬季最深、夏季最浅的季节性变化。利用2002—2009年Argo季节平均资料基于P矢量方法能得到地转流场的基本结构,与Levitus资料的计算结果相比较,除可以反映黑潮,还可以反映一些涡旋结构;利用2006年秋季Argo资料计算流场与高度计资料计算的地转流场比较,其流场结构位置吻合得比较好,但存在流速偏小等不足,这可能与Argo资料较少且分布不均以及插值误差等有关,但其可以获得流场的三维结构,而利用高度计资料计算只能得到表层流场结构。 相似文献
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Argo资料已成为海洋环境和气候变化研究重要的实测资料来源和基础数据支撑。自2007年全球Argo实时海洋观测网建成以来,每年产生的Argo资料稳固增长,数据总量呈现出海量增长趋势,如何实时有效地对Argo数据进行组织管理与信息服务已成为当前Argo资料共享的关键难题。本文针对Argo数据多源异构的时空特性及多元化的信息服务需求,综合运用分布式混合数据库架构,设计了一种适用于全球Argo资料组织管理的弹性扩展云存储模型,建立了基于Matlab的Argo网格化产品高效可视化方法,构建了基于Flex RIA的WebGIS服务框架,并研制了"全球Argo资料共享与服务平台"实例。平台实现了对全球Argo资料的查询浏览、快速下载及可视化分析等功能,并已在中国Argo实时资料中心部署及对外服务。 相似文献
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The impact of assimilating Argo data into an initial field on the short-term forecasting accuracy of temper- ature and salinity is quantitatively estimated by using a forecasting system of the western North Pacific, on the base of the Princeton ocean model with a generalized coordinate system (POMgcs). This system uses a sequential multigrid three-dimensional variational (3DVAR) analysis scheme to assimilate observation da- ta. Two numerical experiments were conducted with and without Argo temperature and salinity profile data besides conventional temperature and salinity profile data and sea surface height anomaly (SSHa) and sea surface temperature (SST) in the process of assimilating data into the initial fields. The forecast errors are estimated by using independent temperature and salinity profiles during the forecasting period, including the vertical distributions of the horizontally averaged root mean square errors (H-RMSEs) and the horizontal distributions of the vertically averaged mean errors (MEs) and the temporal variation of spatially averaged root mean square errors (S-RMSEs). Comparison between the two experiments shows that the assimila- tion of Argo data significantly improves the forecast accuracy, with 24% reduction of H-RMSE maximum for the temperature, and the salinity forecasts are improved more obviously, averagely dropping of 50% for H-RMSEs in depth shallower than 300 m. Such improvement is caused by relatively uniform sampling of both temperature and salinity from the Argo drifters in time and space. 相似文献
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Joaquim Ballabrera-Poy Baptiste Mourre Emilio Garcia-Ladona Antonio Turiel Jordi Font 《Deep Sea Research Part I: Oceanographic Research Papers》2009,56(10):1605-1614
Linear and non-linear empirical models for salinity (S) are estimated from the Argo temperature (T) and salinity (delayed) data. This study focuses on the reconstruction of salinity in the upper 1200 m of the eastern North Atlantic Ocean, a region characterized by the presence of many different water masses. While previous studies have found it necessary to split this region by boxes to fit different polynomial models in each box, a unique model valid for the entire region is fitted here. Argo profiles are randomly distributed on two sets: one for fitting the models and one for testing them. Non-linear regressions are built using neural networks with a single hidden layer and the fitting data set is further divided into two subsets: one for adjusting the coefficients (training data) and one for early stopping of the fitting (validation data). Our results indicate that linear regressions perform better than the climatologic T–S relationship, but that non-linear regressions perform better than the linear ones. Non-linear training using a three-data subsets strategy successfully prevents overfitting even when networks with 90 neurons in the hidden layer are being trained. While the presence of local minima may complicate the generalization of non-linear models to new data, network committees (created by training the same network from different random initial weights) are shown to better reproduce the test data. Several predictors are tested, and the results show that geographical, or surface, information does provide significant information. These results highlight the potential applications of future satellite missions measuring sea-surface salinity to reconstruct, when combined with temperature profiles, vertical salinity profiles. 相似文献