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Argo、GTSPP与WOD数据集及其应用中需注意的若干问题 被引量:4
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作者 纪风颖 林绍花 +2 位作者 万芳芳 董明媚 刘玉龙 《海洋通报》 CAS CSCD 北大核心 2016年第2期140-148,共9页
数据集整体的时空覆盖率制约了海洋科学研究的时空尺度,而海洋仪器的性能和观测方式直接决定了海洋数据的可靠性。以观测仪器作为主要衡量指标,结合数据集的时空覆盖率,对以温度和盐度为数据集主体的自持式拉格朗日环流剖面观测(Argo... 数据集整体的时空覆盖率制约了海洋科学研究的时空尺度,而海洋仪器的性能和观测方式直接决定了海洋数据的可靠性。以观测仪器作为主要衡量指标,结合数据集的时空覆盖率,对以温度和盐度为数据集主体的自持式拉格朗日环流剖面观测(Argo)数据集、全球温盐剖面数据集(GTSPP)、世界海洋数据集(WOD)进行分析和比对,确定了三者关系:Argo和GTSPP都是WOD的数据源,而GTSPP中包含了Argo实时数据的80%。在此基础上研究确定了目前温盐数据的主要观测仪器为Argo浮标、XBT和CTD,并对这三种仪器的误差来源和量级进行详细分析:由于全球自动观测与传输需求,Argo数据存在电子信号不稳定导致的随机误差,而且在高纬度强温跃层地带出现较强的虚假盐度尖峰,再是自由漂移的特性导致1%~2%盐度剖面漂移超过0.02 PSS-78;由于下降方程的不断演变,全球半数XBT数据提供者并未提供仪器型号,导致数据整体的可靠性下降;由于CTD基本采用船载观测,因此成本高、共享数据少且多集中近海。因此在对全球温盐数据进行应用时,应综合考虑观测仪器的可靠性和时空覆盖率,有效实现对资料本身误差和真实海洋现象的甄别。 展开更多
关键词 ARGO gtspp WOD
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The diapycnal mixing in the upper Pacific estimated from GTSPP observations 被引量:1
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作者 DENG Zeng'an WEI Guanghao +3 位作者 YU Ting WEI Hongyu KANG Linchong HAN Luyao 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2016年第1期46-52,共7页
Diapycnal mixing (DM) in the upper 600 m of the Pacific Ocean was estimated based on the huge amount of the observations from Global Temperature-Salinity Profile Programme (GTSPP), using the strain version of the ... Diapycnal mixing (DM) in the upper 600 m of the Pacific Ocean was estimated based on the huge amount of the observations from Global Temperature-Salinity Profile Programme (GTSPP), using the strain version of the finescale parameterization. It is found that DM in each season exhibits similar distribution pattern, but differs in details. The intensification of DM is related to bottom roughness, surface near-inertial energy, and proximity to the equator. The intensified DM caused by rough topography shows in the profiles near the Mendocino fracture zone in the northeast Pacific, and the heightened DM caused by wind-generated near-inertial energy appears in the westerly region of the Southern Ocean. As compared to previous estimates, the DM estimate in this work has better spatial coverage and finer resolution, and more importantly it contains the seasonal variability, Furthermore, the resulting DM dataset is gridded, rendering it suitable for modeling applications. 展开更多
关键词 diapycnal mixing gtspp fine-scale parameterization PACIFIC
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Observed subsurface eddies near the Vietnam coast of the South China Sea 被引量:4
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作者 Bo Song Huizan Wang +2 位作者 Changlin Chen Ren Zhang Senliang Bao 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2019年第4期39-46,共8页
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 pro... 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. 展开更多
关键词 coast of Vietnam SUBSURFACE EDDY ARGO gtspp DIVA
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