Geostationary ocean color satellite observations reveal the fine structure of mesoscale eddy dynamics

IF 11.1 1区地球科学 Q1 ENVIRONMENTAL SCIENCES

Remote Sensing of Environment Pub Date : 2025-02-18 DOI:10.1016/j.rse.2025.114652

Xiaosong Ding , Xianqiang He , Yan Bai , Wentao Ma , Jiajia Li , Feng Ye , Shujie Yu , Qiwei Hu , Fang Gong , Difeng Wang , Teng Li

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引用次数: 0

Abstract

Observations of mesoscale eddy structures rely heavily on satellite altimetry data. However, due to altimetry's coarse spatial resolution, the fine structure of eddy dynamics remains mysterious. Using high spatiotemporal resolution observations from the Geostationary Ocean Color Imager (GOCI), we reveal the fine structure and hourly dynamics of the eddy surface flow velocities, as well as the horizontal eddy transport processes. The sea surface flow field retrieved by the dense optical flow algorithm from the GOCI was consistent with the results derived from satellite altimetry data but had a much higher spatial resolution (500 m), which makes it feasible to capture the fine structure of eddy dynamics. Additionally, the hourly observations exposed rapid variations of the eddy kinetic energy and the horizontal advection transport of surface phytoplankton. These fine-scale and frequent GOCI observations increase the understanding of the dynamics and mass transport in mesoscale eddies.

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来源期刊

Remote Sensing of Environment 环境科学-成像科学与照相技术

CiteScore

25.10

自引率

8.90%

发文量

455

审稿时长

53 days

期刊介绍： Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.