摘要
Argo浮标观测已成为全球海洋观测系统的重要支柱,但因缺乏表层观测,使得Argo观测资料在海洋和大气研究中的应用仍有一定的局限性。基于一个简化的海洋温度参数模型,由Argo剖面观测及气候态数据所确定的垂向海洋温度参数,得到表层与次表层温度的函数关系,进而利用太平洋海域的Argo次表层温度数据来推算表层温度场。其中,海温参数模型的相关参数采用最大角度法求得,利用此方法得到的混合层深度,温跃层梯度,温跃层下边界等参数较以往的迭代法更精确。与传统采用外插方式得到的表层温度场及卫星反演的SST相比,推算的Argo表层温度与GTSPP、Argo NST等实测资料的标准差有了显著地降低;与Argo NST现场观测数据的相关性分析也表明,推算的表层温度与实测资料有着更好地一致性;通过相关分析检验,在理论上验证了在太平洋海域利用海温参数模型推算海表温度的可行性。本研究为弥补当前Argo资料缺乏表层观测的缺陷,构建完备的Argo网格化温度数据集提供了新途径,具有重要的科学意义和应用价值。
Argo has become an important part of the global ocean observation system. While, due to the lack of sea surface measurements, application of the Argo data still has some limitations. Based on a simple thermal parametric model,the relationship between sea surface temperature and subsurface temperature was constructed in this paper by the thermal parameters calculated from Argo profile data and WOA09 climatic data. And then sea surface temperature was estimated by Argo subsurface data in the Pacific Ocean. Among them, the thermal parameters were calculated by the maximum angle method. The novel objective method produced the more accurate thermal parameters than those by the iterative technique used in previous studies, such as mixed layer depth, thermocline temperature gradient, thermocline bottom depth and so on. Compared with the SST extrapolated from the traditional method and retrieved from satellite SST,the RMSEs between the estimated Argo surface temperature and the observed GTSPP or Argo NST have been significantly reduced;the correlation coefficient between estimation result and in situ observation was larger as well. The Argo surface temperature estimated by the thermal parametric model in the Pacific Ocean was theoretically proved to be reliable through correlation analysis. This study made up for the lacking of surface observation in Argo. It provided a new way to establish complete Argo data sets.
出处
《海洋通报》
CAS
CSCD
北大核心
2014年第1期16-26,共11页
Marine Science Bulletin
基金
海洋公益性行业科研专项(201005033)
科技基础性工作专项(2012FY112300)
国家海洋局第二海洋研究所基本科研业务费专项(JT0904)
关键词
海温参数模型
太平洋
Argo
NST
SST
Argo
NST
SST
thermal parametric model
the Pacific Ocean
