Abstract
The upwelling zone off northeastern Taiwan (UZONT) is one of the hot spots with mesoscale ocean eddies (MOEs) and eddy-induced transports in the north Pacific Ocean. We start from the temporal and spatial variations in MOEs in the UZONT, based on the Himawari-8 SST product and the GOCI chlorophyll-a product time series, respectively. Their relationship with three major factors, including the Kuroshio, typhoon, and El Niño/La Niña events, are then investigated. The spatiotemporal variations in MOEs serve as ideal indicators by which to understand the influences on the UZONT due to interannual environmental factors and climate change.
Highlights
Mesoscale ocean eddies (MOEs) range in diameter from 10 to 500 km and can persist for periods of days to months [1]
This suggests that the terrestrial materials transported to the Lanyang River plume can be enhanced and diverted by the emergence of cold domes
We started from the temporal and spatial variations in MOEs in the upwelling zone off northeastern Taiwan (UZONT) revealed from the Himawari-8 sea surface temperature (SST) product and the Geostationary Ocean Color Imager (GOCI) chlorophyll-a product, respectively
Summary
Mesoscale ocean eddies (MOEs) range in diameter from 10 to 500 km and can persist for periods of days to months [1]. The AHI provides full disk observations every 10 min and images of Japan every 2.5 min in 16 spectral bands (six visible, two NIR), with spatial resolutions ranging from 500 m to 2 km covering the Asia-Pacific region These two unpresedented datasets with high temporal resolutions have been applied to monitor temporal variability in coastal water turbidity [27,28], to study diurnal changes in harmful algal bloom [29,30], estimate ocean surface currents [31,32], and to evaluate the spatial scale of MOEs [33]. The third branch flows along the edge of the China Continental Shelf in a southwestern direction This counterclockwise flow becomes an eddy structure, pumps up the cold, nutrient-rich water from the subsurface to the sea surface, and triggers the regional bloom of phytoplankton. The spatiotemporal characteristics of remote sensing imagery, the abundant GOCI and Himawari-8 images in their datasets, are ideal to gain a better understanding of some of the long-term, large-scale, dynamic features of MOEs in the UZONT
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