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Seasonal Variability of the Yellow Sea/East China Sea Surface Fluxes and Thermohaline Structure 被引量:12
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作者 Peter CHU 陈玉春 Akira KUNINAKA 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2005年第1期1-20,共20页
We use the U.S. Navy's Master Oceanographic Observation Data Set (MOODS) forthe Yellow Sea/ East China Sea (YES) to investigate the climatological water mass features and theseasonal and non-seasonal variabilities... We use the U.S. Navy's Master Oceanographic Observation Data Set (MOODS) forthe Yellow Sea/ East China Sea (YES) to investigate the climatological water mass features and theseasonal and non-seasonal variabilities of the thermohaline structure, and use the ComprehensiveOcean-Atmosphere Data Set (COADS) from 1945 to 1989 to investigate the linkage between the fluxes(momentum, heat, and moisture) across the air-ocean interface and the formation of the water massfeatures. After examining the major current systems and considering the local bathymetry and watermass properties, we divide YES into five regions: East China Sea (ECS) shelf, Yellow Sea (YS) Basin,Cheju bifurcation (CB) zone, Taiwan Warm Current (TWC) region, Kuroshio Current (KC) region. Thelong term mean surface heat balance corresponds to a heat loss of 30 W m^(-2) in the ESC and CBregions, a heat loss of 65 W m^(-2) in the KC and TWC regions, and a heat gain of 15 W m^(-2) in theYS region. The surface freshwater balance is defined by precipitation minus evaporation. The annualwater loss from the surface for the five subareas ranges from 1.8 to 4 cm month^(-1). The freshwater loss from the surface should be compensated for from the river run-off. The entire watercolumn of the shelf region (ECS, YS, and CB) undergoes an evident seasonal thermal cycle withmaximum values of temperature during summer and maximum mixed layer depths during winter. However,only the surface waters of the TWC and KC regions exhibit a seasonal thermal cycle.. We also foundtwo different relations between surface salinity and the Yangtze River run-off, namely, out-of-phasein the East China Sea shelf and in-phase in the Yellow Sea. This may confirm an earlier study thatthe summer fresh water discharge from the Yangtze River forms a relatively shallow, low salinityplume-like structure extending offshore on average towards the northeast. 展开更多
关键词 yellow sea east China sea surface net heat flux fresh water flux seasonalvariability thermohaline structure
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南海障碍层的季节变化及其与海面通量的关系 被引量:16
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作者 杜岩 王东晓 +2 位作者 施平 郭佩芳 陈举 《大气科学》 CSCD 北大核心 2004年第1期101-111,共11页
对气候平均态的温度和盐度分析证实 ,夏、秋季南海南部上层海洋存在障碍层现象。决定障碍层出现的关键因素是净淡水通量 ,而障碍层的深度和厚度分布则受风场的显著影响 ,障碍层受混合层和等温层发展的调制。夏季 ,南海南部上层海洋在东... 对气候平均态的温度和盐度分析证实 ,夏、秋季南海南部上层海洋存在障碍层现象。决定障碍层出现的关键因素是净淡水通量 ,而障碍层的深度和厚度分布则受风场的显著影响 ,障碍层受混合层和等温层发展的调制。夏季 ,南海南部上层海洋在东南向Ek man水平输运以及东侧下降运动双重因素作用下 ,较淡的水体在南海东南侧堆积 ,混合层底部高温水脱离混合层保留在等温层中 ,造成障碍层在南海东南侧最为深厚 ,达到 30m。最厚障碍层出现的位置和最厚“南海暖水”出现的位置几乎重合 ,障碍层的“热障”作用促进了“南海暖水” 展开更多
关键词 障碍层 净淡水通量 风场 南海
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南海蒸发和净淡水通量的季节和年际变化 被引量:10
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作者 曾丽丽 施平 +1 位作者 王东晓 陈举 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2009年第4期929-938,共10页
以19年(1988~2006年)的SSM/I(Special Sensor Microwave/Imager)卫星观测为基础,计算了南海的逐月海面蒸发量,并结合SSM/I的降雨观测,得到了南海的逐月净淡水通量,并分析其季节和年际变化.研究结果表明:南海的蒸发量年变化基本呈双峰... 以19年(1988~2006年)的SSM/I(Special Sensor Microwave/Imager)卫星观测为基础,计算了南海的逐月海面蒸发量,并结合SSM/I的降雨观测,得到了南海的逐月净淡水通量,并分析其季节和年际变化.研究结果表明:南海的蒸发量年变化基本呈双峰型结构,降雨和净淡水通量呈单峰型结构.1988~2001年,南海的蒸发量呈上升趋势,增长速率为1 mm/yr;2001~2006年,以1.9 mm/yr的速率减少.南海的降雨量和净淡水通量与Nino3指数成负相关,相关系数为-0.62和-0.58.在1997~1 998厄尔尼诺暖事件期间,降雨量和净淡水通量均显著下降,且以其为界,降雨量在此之前以1.3 mm/yr的速率增长,净淡水通量升降趋势不明显;而在此之后,降雨以8.5mm/yr的速率下降,净淡水通量的下降速率为7.5 mm/yr. 展开更多
关键词 南海 海面蒸发 净淡水通量 季节和年际变化
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