Representing surface wind stress response to mesoscale SST perturbations in western coast of South America using Tikhonov regularization method

Chaoran CUI; Rong-Hua ZHANG; Hongna WANG; Yanzhou WEI

doi:10.1007/s00343-019-9042-8

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Representing surface wind stress response to mesoscale SST perturbations in western coast of South America using Tikhonov regularization method

Physics | Updated：2023-05-19

- Representing surface wind stress response to mesoscale SST perturbations in western coast of South America using Tikhonov regularization method
- Representing surface wind stress response to mesoscale SST perturbations in western coast of South America using Tikhonov regularization method
- 海洋湖沼学报（英文） 2020年38卷第3期页码：679-694
- Affiliations：
  
  1.Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
  2.Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
  3.University of Chinese Academy of Sciences, Beijing 100049, China
  4.Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China
  5.State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
- Author bio：
  
  ZHANG Rong-Hua, rzhang@qdio.ac.cn
- Funds：
  
  the National Key Research and Development Program of China(2017YFC1404102(2017YFC1404100));the National Program on Global Change and AirSea Interaction(GASI-IPOVAI-06);the National Natural Science Foundation of China(41490644(41490640));the National Natural Science Foundation of China(41690122(41690120));the Strategic Priority Research Program of Chinese Academy of Sciences(XDA19060102);the NSFC Shandong Joint Fund for Marine Science Research Centers(U1406402);the Taishan Scholarship and the Recruitment Program of Global Experts;© Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020
- DOI：10.1007/s00343-019-9042-8
  中图分类号：
- 收稿：2019-02-20，
  
  录用：2019-5-28，
  
  网络首发：2019-09-05，
  
  纸质出版：2020-05
- Accepted：
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Representing surface wind stress response to mesoscale SST perturbations in western coast of South America using Tikhonov regularization method[J]. 海洋湖沼学报（英文）, 2020,38(3):679-694.

Chaoran CUI, Rong-Hua ZHANG, Hongna WANG, et al. Representing surface wind stress response to mesoscale SST perturbations in western coast of South America using Tikhonov regularization method[J]. Journal of Oceanology and Limnology, 2020, 38(3): 679-694.
Representing surface wind stress response to mesoscale SST perturbations in western coast of South America using Tikhonov regularization method[J]. 海洋湖沼学报（英文）, 2020,38(3):679-694. DOI： 10.1007/s00343-019-9042-8.

Chaoran CUI, Rong-Hua ZHANG, Hongna WANG, et al. Representing surface wind stress response to mesoscale SST perturbations in western coast of South America using Tikhonov regularization method[J]. Journal of Oceanology and Limnology, 2020, 38(3): 679-694. DOI： 10.1007/s00343-019-9042-8.

摘要

Abstract

Interaction between mesoscale perturbations of sea surface temperature (SST

meso

) and wind stress (WS

meso

) has great influences on the ocean upwelling system and turbulent mixing in the atmospheric boundary layer. Using daily Quik-SCAT wind speed data and AMSR-E SST data

SST

meso

and WS

meso

fields in the western coast of South America are extracted by using a locally weighted regression method (LOESS). The spatial patterns of SST

meso

and WS

meso

indicate strong mesoscale SST-wind stress coupling in the region. The coupling coefficient between SST

meso

and WS

meso

is about 0.009 5 N/(m

2·

℃) in winter and 0.008 2 N/ (m

·℃) in summer. Based on mesoscale coupling relationships

the mesoscale perturbations of wind stress divergence (Div(WS

meso

)) and curl (Curl (WS

meso

)) can be obtained from the SST gradient perturbations

which can be further used to derive wind stress vector perturbations using the Tikhonov regularization method. The computational examples are presented in the western coast of South America and the patterns of the reconstructed WS

meso

are highly consistent with SST

meso

but the amplitude can be underestimated significantly. By matching the spatially averaged maximum standard deviations of reconstructed WS

meso

magnitude and observations

a reasonable magnitude of WS

meso

can be obtained when a rescaling factor of 2.2 is used. As current ocean models forced by prescribed wind cannot adequately capture the mesoscale wind stress response

the empirical wind stress perturbation model developed in this study can be used to take into account the feedback effects of the mesoscale wind stress-SST coupling in ocean modeling. Further applications are discussed for taking into account the feedback effects of the mesoscale coupling in largescale climate models and the uncoupled ocean models.

关键词

Keywords

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