基于混合层模型反推Argo表层温度和盐度

发布时间：2018-05-28 10:24

本文选题：混合层模型 + Argo　；参考：《海洋通报》2016年05期

【摘要】：提出了海表温度(SST)和海表盐度(SSS)可统一由混合层深度内对应的平均温、盐度作零阶近似的理论假设,据此利用Chu等提出的最大角度法构建混合层模型,并考虑障碍层和补偿层的影响,得到合成的混合层深度,从而实现了基于混合层模型反推SST和SSS。以太平洋海域为例,分别利用WOA13气候态(1-12月)资料、TAO逐年逐月资料以及历史船载CTD资料检验了这一假设。不同资料检验结果均表明,反推得到的SST、SSS与实测值相关性较高,两者之间残差也较小。将此方法应用于Argo剖面,反推出对应的SST和SSS,并利用逐步订正法对散点资料进行客观分析,生成2004年1月-2014年12月逐年逐月的1°×1°的网格化SST和SSS。对网格资料进行检验,结果发现由Argo反推的SST和SSS气候态分布特征与WOA13资料非常相似,差异不大;与TAO实测资料相关性较好,甚至略高于同类型网格资料与TAO资料的相关系数;EOF分析表明,无论是空间还是时间的主要变化模态,与同类型的网格资料符合性较好。综合来看,构建的混合层模型可以用于Argo表层温、盐度的反推,获得较高质量的SST和SSS,能较好弥补Argo缺乏表层资料的不足。
[Abstract]:The theoretical hypothesis that sea surface temperature (SST) and sea surface salinity (SSS) can be unified by the mean temperature and salinity in the depth of the mixed layer are proposed. Based on this assumption, the mixed layer model is constructed by using the maximum angle method proposed by Chu et al. Considering the influence of barrier layer and compensation layer, the composite mixing layer depth is obtained, and the backstepping SST and SSS based on hybrid layer model are realized. Taking the Pacific Ocean as an example, this hypothesis is tested by using the WOA13 climatic data (January to December) and the annual monthly data and the historical shipborne CTD data. The results of different data tests show that the SST-SSS obtained by back-extrapolation has a high correlation with the measured values and the residual difference between them is small. The method is applied to the Argo profile, the corresponding SST and SSS are derived, and the scattered point data are analyzed objectively by using the stepwise correction method, and the 1 掳脳 1 掳gridded SST and SSS are generated each month from January 2004 to December 2014. The results of grid data test show that the distribution characteristics of SST and SSS climate state derived from Argo are very similar to those of WOA13 data, and have good correlation with the measured data of TAO. Even slightly higher than the correlation coefficient of the same type of grid data and TAO data, it is shown that the main variation modes of space and time have good conformance with the same type of grid data. In a word, the mixed layer model can be used to push back the surface temperature and salinity of Argo and obtain high quality SST and SSS, which can make up for the lack of surface data in Argo.
【作者单位】：浙江省水利河口研究院;卫星海洋环境动力学国家重点实验室;国家海洋局第二海洋研究所;
【基金】：科技部科技基础性工作专项(2012FY112300) 卫星海洋环境动力学国家重点实验室开放基金(SOED1307)
【分类号】：P731.1

【相似文献】