秋季东海黑潮锋面涡旋的特点

本文根据１９８８年１０月２０～２４日“向阳红０９号”调查船在奄美大岛以西海区进行调查时，在陆架斜坡上的表均温层的底部，即５０ｍ附近的深层上，出现一个黑潮锋面涡。不论在平面上形成的特点，还是在断面上水系配置的形式，它与春季黑潮锋面涡的特征极为相似。说明秋季东海同样存在陆架水与黑潮水在水平方向交换与混合。     

东海黑潮水与陆架水的季节性输运和交换

在流星分析和ｔ－Ｓ点聚分析的基础上，在台湾东北部ＩＳ断面和东海中部ＰＮ断面上选取适当的纵剖面作为分界面，将以面分成东、西两侧，计算了界面两侧的海水交换星。结果表明：１．东海陆架区海水交换可归纳为两种类型，即“穿插型”和“进退型”。２．参与分界面处海水交换总量的年平均是夏季最大，春、秋季次之，冬季最小。黑潮水向陆架区输运量为０．５８×１０６ｍ３／ｓ，陆架水向黑潮刚输运量为０．８４×１０６ｍ３／ｓ；参与交换的总量为１．４２×１０６ｍ３／ｓ．３．相对输运量计算结果表明；黑潮水对陆架区水文状况的影响是冬季最强，秋、春季次之，夏季最弱，而陆架水对黑潮区水文状况的影响是夏季最大，秋季次之，春季和冬季最小。     

Effects of variable winds on biological productivity on continental shelves in coastal upwelling systems

The production and distribution of biological material in wind-driven coastal upwelling systems are of global importance, yet they remain poorly understood. Production is frequently presumed to be proportional to upwelling rate, yet high winds can lead to advective losses from continental shelves, where many species at higher trophic levels reside. An idealized mixed-layer conveyor (MLC) model of biological production from constant upwelling winds demonstrated previously that the amount of new production available to shelf species increased with upwelling at low winds, but declined at high winds [Botsford, L.W., Lawrence, C.A., Dever, E.P., Hastings, A., Largier, J., 2003. Wind strength and biological productivity in upwelling systems: an idealized study. Fisheries Oceanography 12, 245–259]. Here we analyze the response of this model to time-varying winds for parameter values and observed winds from the Wind Events and Shelf Transport (WEST) study region. We compare this response to the conventional view that the results of upwelling are proportional to upwelled volume. Most new production per volume upwelled available to shelf species occurs following rapid increases in shelf transit time due to decreases in wind (i.e. relaxations). However, on synoptic, event time-scales shelf production is positively correlated with upwelling rate. This is primarily due to the effect of synchronous periods of low values in these time series, paradoxically due to wind relaxations. On inter-annual time-scales, computing model production from wind forcing from 20 previous years shows that these synchronous periods of low values have little effect on correlations between upwelling and production. Comparison of model production from 20 years of wind data over a range of shelf widths shows that upwelling rate will predict biological production well only in locations where cross-shelf transit times are greater than the time required for phytoplankton or zooplankton production. For stronger mean winds (narrower shelves), annual production falls below the peak of constant wind prediction [Botsford et al., 2003. Wind strength and biological productivity in upwelling systems: an idealized study. Fisheries Oceanography 12, 245–259], then as winds increase further (shelves become narrower) production does not decline as steeply as the constant wind prediction.     

东海陆架外缘隆起带地质构造特征

根据地质、地球物理及钻探资料，结合周边区域地质资料，论证东海外缘隆起带前中中新世基底岩系组成及地质构造特征。     

Dynamics and Variability of Terra Nova Bay Polynya

Abstract. We present a process study on the dynamics and variability of the Terra Nova Bay polynya in the western sector of the Ross Sea. The air-sea heat exchange is known to be particularly large in polynya during the winter, when differences between air and sea temperatures are large. We apply a 1-D model (Pease, 1987; Van Woert, 1999a, 1999b), which is modified in the latent heat parameterisation in order to account for time-dependent relative humidity and cloud coverage. Furthermore, the Ice Collection Depth is correlated linearly with a variable wind speed. The model is forced with two different meteorological data sets: the operational analysis of the European Center for Medium Range Weather Forecasts atmospheric data set and the meteorological parameters measured by an Automatic Weather Station located on the coast of Terra Nova Bay. The results are compared in terms of polynya extension, ice, and High Salinity Shelf Water production. According to the two different wind velocities, the results obtained from the different data sets clearly differ. Qualitatively, however, the results are in good agreement.