+Advanced Search

Advanced Search

The diapycnal mixing in the upper Pacific estimated from GTSPP observations

DENG Zeng'an,  WEI Guanghao,  YU Ting,  WEI Hongyu,  KANG Linchong,  HAN Luyao

downloadPDF
文章导航 > Acta Oceanologica Sinica  > 2016 >  35(1): 46-52
邓增安, 韦广昊, 于婷, 魏红宇, 康林冲, 韩璐遥. 利用全球温盐观测剖面计划资料估算太平洋上层跨等密度面混合[J]. 海洋学报英文版, 2016, 35(1): 46-52. doi: 10.1007/s13131-016-0795-z
引用本文: 邓增安, 韦广昊, 于婷, 魏红宇, 康林冲, 韩璐遥. 利用全球温盐观测剖面计划资料估算太平洋上层跨等密度面混合[J]. 海洋学报英文版, 2016, 35(1): 46-52. doi: 10.1007/s13131-016-0795-z
shu
DENG Zeng'an, WEI Guanghao, YU Ting, WEI Hongyu, KANG Linchong, HAN Luyao. The diapycnal mixing in the upper Pacific estimated from GTSPP observations[J]. Acta Oceanologica Sinica, 2016, 35(1): 46-52. doi: 10.1007/s13131-016-0795-z
Citation: DENG Zeng'an, WEI Guanghao, YU Ting, WEI Hongyu, KANG Linchong, HAN Luyao. The diapycnal mixing in the upper Pacific estimated from GTSPP observations[J]. Acta Oceanologica Sinica, 2016, 35(1): 46-52. doi: 10.1007/s13131-016-0795-z
shu

利用全球温盐观测剖面计划资料估算太平洋上层跨等密度面混合

doi: 10.1007/s13131-016-0795-z
  • 1.

    天津大学, 海洋科学与技术学院;国家海洋信息中心

  • 2.

    国家海洋信息中心

The diapycnal mixing in the upper Pacific estimated from GTSPP observations

  • 1.

    School of Marine Science and Technology, Tianjin University, Tianjin 300172, China;National Marine Data and Information Service, Tianjin 300171, China

  • 2.

    National Marine Data and Information Service, Tianjin 300171, China

    摘要
  • 摘要: 基于全球多年来积累的大量温盐观测剖面计划资料,利用精细尺度参数化方案估算了太平洋上层600米区域内的跨等密度面混合系数。结果表明,在不同季节跨等密度面混合系数的整体分布类似,但是细节上存在很大的不同。跨等密度面混合系数的加强与底部摩擦、海表面近惯性能量输入、赤道效应等因素密切相关。由于粗糙的地形,混合在东北太平洋门多西诺断裂带附近存在明显加强。同时,在南大洋西风带区域,由于大风引起的近惯性能量输入也导致了混合的强化。 与前人的研究结果相比,本文的估算具有更好的空间覆盖率以及更高的分辨率,更重要的是我们的结果体现了季节性变化。由于我们给出的是网格化产品,非常适合在数值模式中的应用。
    Abstract: 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.
    • HTML全文
    • 参考文献(17)
  • Alford M H, Cronin M F, Klymak J M. 2012. Annual cycle and depth penetration of wind-generated near-inertial internal waves at Ocean Station Papa in the northeast Pacific. J Phys Oceanogr, 42(6): 889-909
    Chaigneau A, Pizarro O, Rojas W. 2008. Global climatology of nearinertial current characteristics from Lagrangian observations. Geophysical Research Letters, 35(13), doi: 10.1029/2008GL034060
    Deng Zen'gan, Yu Ting. 2014a. Application of Argo-derived background diapycnal mixing in HYCOM. Journal of Marine Systems, 137: 1-12
    Deng Zeng'an, Yu Ting, Shi Suixiang, et al. 2014b. The global distribution of diapycnal mixing and mixing coefficient tensor in the upper 2000m ocean from Argo observations. Marine Geodesy, 37(3): 337-353
    Gregg M C, Kunze E. 1991. Shear and strain in Santa Monica basin. J Geophys Res, 96(C9): 16709-16719
    Gregg M C, Sanford T B, Winkel D P. 2003. Reduced mixing from the breaking of internal waves in equatorial waters. Nature, 422(6931): 513-515
    Harrison M J, Hallberg R W. 2008. Pacific subtropical cell response to reduced equatorial dissipation. J Phys Oceanogr, 38(9): 1894-1912
    Jochum M. 2009. Impact of latitudinal variations in vertical diffusivity on climate simulations. J Geophys Res, 114(C1), doi: 10.1029/2008JC005030
    Kunze E, Firing E, Hummon J M, et al. 2006. Global abyssal mixing inferred from lowered ADCP shear and CTD strain profiles. J Phys Oceanogr, 36(8): 1553-1576
    Ledwell J R, Watson A J, Law C S. 1998. Mixing of a tracer in the pycnocline. J Geophys Res, 103(C10): 21499-21529
    Polzin K L, Firing E. 1997. Estimates of diapycnal mixing using LADCP and CTD data from I8S. International WOCE Newsletter, No. 29, WOCE International Project Office, Southampton, United Kingdom, 39-42
    Polzin K L, Garabato A C N, Huussen T N, et al. 2014. Finescale parameterizations of turbulent dissipation. J Geophys Res, 119(2): 1383-1419
    Sun C, Thresher A, Keeley R, et al. 2010. The data management system for the Global Temperature and Salinity Profile Programme. In: Hall J, Harrison D E, Stammer D, eds. Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society (Vol. 2). Venice, Italy: ESA Publication WPP-306
    Tian Jiwei, Yang Qingxuan, Zhao Wei. 2009. Enhanced diapycnal mixing in the South China Sea. J Phys Oceanogr, 39(12): 3191-3203
    Waterman S, Garabato A C N, Polzin K L. 2013. Internal waves and turbulence in the Antarctic Circumpolar Current. J Phys Oceanogr, 43(2): 259-282
    Whalen C B, Talley L D, MacKinnon J A. 2012. Spatial and temporal variability of global ocean mixing inferred from Argo profiles. Geophysical Research Letters, 39(18), doi: 10.1029/2012GL053196
    Wu Lixin, Zhao Jing, Steve R, et al. 2011. Seasonal and spatial variations of Southern Ocean diapycnal mixing from Argo profiling floats. Nature Geoscience, 4(6): 363-366
    • 相关文章
    • 施引文献
  • 资源附件(0)
  • 加载中
WeChat 点击查看大图
计量
  • 文章访问数:  1259
  • HTML全文浏览量:  48
  • PDF下载量:  1183
  • 被引次数: 0
出版历程
  • 收稿日期:  2014-10-22
  • 修回日期:  2015-03-09

目录

    /

    返回文章
    返回
    Govern Body: China Association for Science and Technology
    Sponsor: Chinese Society for Oceanography
    Tel: 86-10-62179976
    E-mail: ocean2@hyxb.org.cn
    Website: http://www.aosocean.com/
    京ICP备12043220号-7

    Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计