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A model of sea surface temperature front detection based on a threshold interval

Acta Oceanologica Sinica 2014年第7期33卷 65-71页

作者： PING Bo SU Fenzhen MENG Yunshan FANG Shenghui DU Yunyan School of Remote Sensing and Information Engineering Wuhan University Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Collaborative Innovation Center of South China Sea Studies

A model （Bayesian oceanic front detection, BOFD） of sea surface temperature （SST） front detection in satel- lite-derived SST images based on a threshold interval is presented, to be used in different applications such as climatic and environmental studies or fisheries. The model first computes the SST gradient by using a Sobel algorithm template. On the basis of the gradient value, the threshold interval is determined by a gradi- ent cumulative histogram. According to this threshold interval, front candidates can be acquired and prior probability and likelihood can be calculated. Whether or not the candidates are front points can be deter- mined by using the Bayesian decision theory. The model is evaluated on the Advanced Very High-Resolution Radiometer images of part of the Kuroshio front region. Results are compared with those obtained by using several SST front detection methods proposed in the literature. This comparison shows that the BOFD not only suppresses noise and small-scale fronts, but also retains continuous fronts.

关键词： sea surface temperature threshold setting Sobel algorithm edge detection front detection

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detection and characteristics analysis of the western subarctic front using the high-resolution SST product

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Acta Oceanologica Sinica 2023年第6期42卷 24-32页

作者： Changyuan Chen Chen Wang Huimin Li Denghui Hu Gang Li Xin Chen Yijun He School of Marine Sciences Nanjing University of Information Science&TechnologyNanjing 210044China Key Laboratory of Space Ocean Remote Sensing and Application Ministry of Natural ResourcesBeijing 100081China Innovation Academy for Microsatellites Chinese Academy of SciencesShanghai 201203China

Oceanic front plays a significant role in the ocean vertical mixing and the regulation of air-sea interaction,among *** western branch of the subarctic front(WSAF)located in the Northwest Pacific has attained lots of attention given its strong intensity and widespread influence on this *** this study,we take advantage of the merged sea surface temperature(SST)at a high spatial resolution of 0.05°to investigate the characteristics of *** front detection algorithm that combines the Sobel operator and histogram analysis is *** is advantageous in both preserving the front intensity represented by the SST gradient as well as reducing the detection noise *** systematically applied this algorithm to the daily SST products for front detection,based on which the WSAF characteristics including its intensity,occurrence of frequency,latitudinal position and coverage area are then *** is mostly located within a small latitude range between 40°N and 41°N with a clear seasonal trend in its intensity that peaks in the winter and troughs in the *** seasonal variation of WSAF intensity is almost consistent throughout the temporal period of interest from 2010 to *** seasonality is observed for its occurrence of frequency with the winter-summer contrast reaching up to5%.The findings presented here shall help better interpret the WSAF characteristics in the long-term run as well as their impact on the regional weather and climate patterns at high spatial resolution.

关键词： sea surface temperature western subarctic front front detection characteristics analysis

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