Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas

Bo Ping; Fenzhen Su; Yunshan Meng; Yunyan Du; Shenghui Fang

doi:10.1007/s00343-015-4356-7

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Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas

OriginalPaper | Updated：2023-05-16

- Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas
- Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas
- 海洋湖沼学报（英文） 2016年34卷第3期页码：597-607
- Affiliations：
  
  1. School of Remote Sensing and Information Engineering Wuhan University
  2. Laboratory of Resource and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences
  3. University of Chinese Academy of Sciences
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (No. 41271409)
- DOI：10.1007/s00343-015-4356-7
  中图分类号：
- 网络首发：2015-09-29，
  
  纸质出版：2016
- Accepted：
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Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas[J]. 海洋湖沼学报（英文）, 2016,34(3):597-607.

Ping, B., Su, F., Meng, Y. et al. Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas., Chin. J. Ocean. Limnol. 34, 597–607 (2016). https://doi.org/10.1007/s00343-015-4356-7
Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas[J]. 海洋湖沼学报（英文）, 2016,34(3):597-607. DOI： 10.1007/s00343-015-4356-7.

Ping, B., Su, F., Meng, Y. et al. Application of a sea surface temperature front composite algorithm in the Bohai, Yellow, and East China Seas., Chin. J. Ocean. Limnol. 34, 597–607 (2016). https://doi.org/10.1007/s00343-015-4356-7 DOI：

摘要

Abstract

The oceanic front is a narrow zone in which water properties change abruptly within a short distance. The sea surface temperature (SST) front is an important type of oceanic front

which plays a signifi cant role in many fi elds including fi sheries

the military

and industry. Satellite-derived SST images have been used widely for front detection

although these data are susceptible to infl uence by many objective factors such as clouds

which can cause missing data and a reduction in front detection accuracy. However

front detection in a single SST image cannot fully refl ect its temporal variability and therefore

the long-term mean frequency of occurrence of SST fronts and their gradients are often used to analyze the variations of fronts over time. In this paper

an SST front composite algorithm is proposed that exploits the frontal average gradient and frequency more eff ectively. Through experiments based on MODIS Terra and Aqua data

we verifi ed that fronts could be distinguished better by using the proposed algorithm. Additionally through its use

we analyzed the monthly variations of fronts in the Bohai

Yellow

and East China Seas

based on Terra data from 2000 to 2013.

关键词

Keywords

references

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