A submesoscale eddy identification dataset in the northwest Pacific Ocean derived from GOCI I chlorophyll <i>a</i> data based on deep learning

Wang, Yan; Chen, Ge; Yang, Jie; Gui, Zhipeng; Peng, Dehua

doi:https://doi.org/10.5194/essd-16-5737-2024

Articles | Volume 16, issue 12

https://doi.org/10.5194/essd-16-5737-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-5737-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 12

Data description paper

|

18 Dec 2024

Data description paper |

| 18 Dec 2024

A submesoscale eddy identification dataset in the northwest Pacific Ocean derived from GOCI I chlorophyll a data based on deep learning

Yan Wang, Ge Chen, Jie Yang, Zhipeng Gui, and Dehua Peng

Related authors

A Black Hole Eddy Dataset of North Pacific Ocean Based on Satellite Altimetry

Fenglin Tian, Yingying Zhao, Lan Qin, Shuang Long, and Ge Chen

Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-384,https://doi.org/10.5194/essd-2025-384, 2025

Preprint under review for ESSD

Short summary

Integrated Observation of an Asymmetric Eddy Dipole in the South China Sea

Shuang Long, Fenglin Tian, Junwu Tang, Fangjie Yu, Fang Zhang, Wei Ma, Xinglong Zhang, and Ge Chen

Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-276,https://doi.org/10.5194/essd-2025-276, 2025

Preprint under review for ESSD

Short summary

Temporal and Spatial Influences of Environmental Factors on the Distribution of Mesopelagic organism in the North Atlantic Ocean

Jie Yang, Jian Hui Li, and Ge Chen

EGUsphere, https://doi.org/10.5194/egusphere-2024-2991,https://doi.org/10.5194/egusphere-2024-2991, 2024

Short summary

GEST: Accurate global ocean surface current reconstruction withmulti-scale dynamics-informed neural network

Linyao Ge, Guiyu Wang, Baoxiang Huang, Chuanchuan Cao, Xiaoyan Chen, and Ge Chen

Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-190,https://doi.org/10.5194/essd-2024-190, 2024

Manuscript not accepted for further review

Short summary

Eddy-induced chlorophyll profile characteristics and underlying dynamic mechanisms in the South Pacific Ocean

Meng Hou, Jie Yang, Ge Chen, Guiyan Han, Yan Wang, and Kai Wu

EGUsphere, https://doi.org/10.5194/egusphere-2023-1735,https://doi.org/10.5194/egusphere-2023-1735, 2023

Preprint archived

Short summary

Cited articles

Bochkovskiy, A., Wang, C.-Y., and Liao, H.-Y. M.: YOLOv4: Optimal Speed and Accuracy of Object Detection, arXiv [preprint], https://doi.org/10.48550/arXiv.2004.10934, 2020.

Cao, H., Fox-Kemper, B., and Jing, Z.: Submesoscale eddies in the upper ocean of the kuroshio extension from high-resolution simulation: energy budget, J. Phys. Oceanogr., 51, 2181–2201, 2021.

Chelton, D. B., Gaube, P., Schlax, M. G., Early, J. J., and Samelson, R. M.: The Influence of Nonlinear Mesoscale Eddies on Near-Surface Oceanic Chlorophyll, Science, 334, 328–332, https://doi.org/10/cz6575, 2011.

Choi, J. M. and Kim, W.: Applications of Surface Velocity Current Derived from Geostationary Ocean Color Imager (GOCI), in: 2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO), Kobe, Japan, https://doi.org/10.1109/OCEANSKOBE.2018.8559174, 28–31 May 2018.

Chrysagi, E., Umlauf, L., Holtermann, P., Klingbeil, K., and Burchard, H.: High-resolution simulations of submesoscale processes in the Baltic Sea: The role of storm events, J. Geophys. Res.-Oceans, 126, e2020JC016411, https://doi.org/10/grwbpd, 2021.