期刊文献+

西北太平洋温盐分布的时空尺度分析 被引量:1

Spatial-temporal scales of temperature and salinity variablity in the Northwest Pacific
下载PDF
导出
摘要 为了更清晰地了解西北太平洋的温盐分布特征,基于全球实时海洋观测计划(Argo)浮标观测剖面,利用自相关函数方法,对西北太平洋海域(选取范围为120°E^160°W,10~40°N)温盐分布的时空尺度进行了分析,并通过高斯函数拟合得到了温盐的时空去相关尺度。研究表明,自相关函数随季节和深度发生变化,各层的自相关函数值随着空间增大而降低。表层,夏季温度的空间去相关尺度比冬季大,但时间去相关尺度小;次表层,夏季温度的自相关函数随空间增大迅速递减,空间去相关尺度比冬季小;深层,夏季和冬季的温度时空尺度相近。盐度的季节性变化较温度要小,但盐度的空间变化尺度比温度要大,而时间变化尺度则比温度小。2种要素的信噪比均大于2,可以用来指导精细化观测布网的采样间隔。 To investigate the physical characteristics of the water mass in part of the Northwest Pacific,the autocorrelation functions(ACF)of temperature and salinity in this region(120°E-160°W,10°N-40°N)were computed based on the array for real-time geostrophic oceanography(Argo)profiles.Then the temporal and spatial decorrelation scales were obtained by fitting the autocorrelation function into Gaussian function.The ACFs vary with the season and depth.The ACFs gradually decrease with the spatial lag increasing.On the surface,the spatial(temporal)decorrelation scale of temperature is longer(shorter)in the summer than that in the winter.At the subsurface,the ACFs in summer temperature decrease dramatically with the space increasing.However,the temporal decorrelation scale is shorter than that in winter.In the deep layers,the spatial(temporal)decorrelation scales of temperature are similar in summer and winter.The seasonal variability of salinity is weaker.The spatial(temporal)decorrelation scale of salinity is longer(shorter)than that of temperature.The signal-to-noise ratios are usually larger than 2.It proves that the decorrelation scales are useful for designing an optimal observational network.
出处 《解放军理工大学学报(自然科学版)》 EI 北大核心 2015年第1期89-96,共8页 Journal of PLA University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(41276088 41206002 41306010)
关键词 全球实时海洋观测计划剖面 西北太平洋 温盐分布 时空尺度 Argo profiles the Northwest Pacific temperature and salinity variabity spatial-temporal scales
  • 相关文献

参考文献13

  • 1NAGAI T, TANDON A, YAMAZAKI H, et al. Di- rect observations of microscale turbulence and thermo- haline structure in the Kuroshio front[J]. Journal of Geophysical Research, 2012, 117(C8), C08013,1-21.
  • 2WHITE W B, MEYERS G, HASUNUMA K. Space/ Time statistics of short-term climate variability in the Western North Pacific[J]. Journal of Geophysical Re- search, 1982, 87(C3): 1979-1989.
  • 3SPRINTALL J, MEYERS G. An optimal XBT sam- pling network for the Eastern Pacific Ocean[J]. Jour nal of Geophysical Research, 1991, 96(C6): 10539- 10552.
  • 4KESSLER W S, SPILLANE M C, McPHADEN M J, et al. Scales of variability in the equatorial pacific in- ferred from the tropical atmosphere-ocean buoy array [J]. Journal of Climate,1996,9(12) :2999-3024.
  • 5HOSODA K, KAWAMURA H. Seasonal variation of space/time statistics of short-term sea surface temperature variability in the Kuroshio region[-J]. Journal of Oceanography, 2005,61(4) :709-720.
  • 6CHU P C, WELLS S K, HAEGER S D, et al. Tem- poral and spatial scales of the Yellow Sea thermal vari- ability[J].Journal of Geophysical Research, 1997,102 (C3) :5655-5667.
  • 7CHU P C, WANG G, CHEN Y, et al. Japan Sea thermocline structure and circulation, part Ⅲ: autocor- relation functions [J]. Journal of Physical Oceanogra- phy, 2002,32(12) :3596-3615.
  • 8SARKAR A, BASU S, VARMA A K, et al. Auto- correlation analysis of ocean surface wind vectors[J], Journal of Earth System Science, 2002 (111) : 297-303.
  • 9SARKAR A, KSHATRIYA J, SATHEESAN K. Au to-correlation analysi Bengal[J].Journal s of wave heights in the Bay of Earth System Science, 2006,115(2):235-237.
  • 10WHITE W B, BERNSTEIN R L. Design of an oceano graphic network in the midlatitude North Pacific[J] Journal of Physical Oceanography, 1979,9 (3) : 592 -606.

同被引文献23

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部