Mechanisms of the disappearance of sea surface temperature fronts in the subtropical North Pacific Ocean
Mechanisms of the disappearance of sea surface temperature fronts in the subtropical North Pacific Ocean
复制标题
北太平洋副热带海温锋消失机制
DOI：
10.1002/2014jc010142
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发表时间：
2014-07
影响因子：
3.6
通讯作者：
Wu, Jiaxue
中科院分区：
文献类型：
--
作者：
Qiu, Chunhua;Kawamura, Hiroshi;Mao, Huabin;Wu, Jiaxue
利用一个简单的混合层模式，对5 ~ 8月副热带海表温度锋消失的机制进行了定量研究。每周2.5度数据集在卫星和现场观测之间进行匹配，包括来自高级微波扫描辐射计-地球观测系统（AMSR-E）和全球温度和盐度廓线计划（GTSPP）数据的无云SST。在这项研究中使用的一个1.5混合层模式假设的SST梯度的时间变化是由净热通量，温度平流（包括Ekman和地转），和温度卷吸在混合层底部的综合效果控制。净热通量对SST锋的减弱（SST梯度的减小）起主导作用，而温度平流和底层卷吸作用相对较弱。对净热通量的分解表明，潜热通量的纬向梯度是SST锋减弱的直接因素，而短波辐射则有间接影响。南风引起潜热通量的经向梯度，从而导致SST锋的减弱和消失。模拟结果表明，模式中的周平均SST梯度与AMSR-E观测值吻合较好，而月平均SST梯度与观测值相差较大。
The disappearance mechanisms of subtropical sea surface temperature (SST) fronts occurring from May to August were examined quantitatively using a simple mixed-layer model. Weekly 2.5 degrees data sets were matched up between satellite and in situ observations, including cloud-free SST from Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) and Global Temperature and Salinity Profile Program (GTSPP) data. A 1.5 mixed-layer model used in this study assumed that the temporal variation of the SST gradient was controlled by the resultant effect among the net heat flux, temperature advection (including Ekman and geostrophic), and the temperature entrainment at the bottom of the mixed layer. The net heat flux was found to provide a dominant contribution to the weakening of the SST front (decreasing SST gradient), while the temperature advection and the bottom entrainment were relatively weak. Decomposition of the net heat flux revealed that the meridional gradient of the latent heat flux is a direct factor in the weakening of the SST front, while the shortwave radiation could have indirect effects. The meridional gradient of the latent heat flux is induced by southerly winds, which in turn causes the weakening and disappearance of the SST front. Comparison of weekly and monthly averaged SST gradient modeling results with in situ observations demonstrated that the weekly SST gradient in the model agrees closely with AMSR-E observations, but there was a large difference between the monthly SST gradient in the model and in the observations.
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影响因子：
2.3
作者：
C. Qiu;H. Kawamura
通讯作者：
C. Qiu;H. Kawamura
影响因子：
--
作者：
N. Zhao;A. Manda;Zhen Han
通讯作者：
N. Zhao;A. Manda;Zhen Han
影响因子：
3.6
作者：
MOREL, A
通讯作者：
MOREL, A
影响因子：
2.3
作者：
F. Kobashi;Atsushi Kubokawa
通讯作者：
F. Kobashi;Atsushi Kubokawa
DOI：
10.5270/oceanobs09.cwp.86
发表时间：
2010-12
期刊：
--
影响因子：
--
作者：
C. Sun
通讯作者：
C. Sun