Avijit Gangopadhyay

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Analyses of a primitive equation ocean model simulation of the Atlantic Ocean circulation at 1/6° horizontal resolution are presented with a focus on the Gulf Stream region. Among many successful features of this simulation, this letter describes the Gulf Stream separation from the coast of North America near Cape Hatteras, meandering of the Gulf Stream(More)
In this paper we present a novel method for the detection and segmentation of upwelling regions in AVHRR SST data. We demonstrate the effectiveness of the algorithm on data from the Monterey Bay region, with prominent upwelling regions. A byproduct of the upwelling detection algorithm is the detection of frontal boundaries. The process is started with the(More)
Clustering Algorithms have been used in the field of remote sensing for classification purposes. Our approach focuses on the application of difference-inclustering on AVHRR Sea Surface Temperature (SST) data to detect upwelling regions and frontal boundaries. Results demonstrate the effectiveness of this algorithm in the Monterey Bay Region. We provide two(More)
Analyses of a primitive equation ocean model simulation of the Atlantic Ocean circulation at 1/6° horizontal resolution are presented with a focus on the Gulf Stream region. Among many successful features of this simulation, this letter describes the Gulf Stream separation from the coast of North America near Cape Hatteras, meandering of the Gulf Stream(More)
This paper addresses the issue of detecting the north wall of Gulf Stream. The study of Gulf Stream has a lot of significance, playing a major role in effecting the climate change, formation of cyclones, influencing the productivity of fishing areas etc. It is also a subject of interest as an alternative source of renewable energy. The most effective,(More)
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