3 Works

EFARN code

Ying Ma, Fenglin Tian, Shuang Long, Baoxiang Huang, Wen Liu & Ge Chen
Software published via figshare
This program is eddy-front association recognition network (EFARN) proposed by Global Oceanic Eddy-Front Associations from Synergetic Remote Sensing Data by Deep Learning paper, the program can get the eddy-front association results from sea surface temperature (SST) and sea level anomaly (SLA) data.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21707447 Cite

EFARN code

Ying Ma, Fenglin Tian, Shuang Long, Baoxiang Huang, Wen Liu & Ge Chen
Software published via figshare
This program is eddy-front association recognition network (EFARN) proposed by Global Oceanic Eddy-Front Associations from Synergetic Remote Sensing Data by Deep Learning paper, the program can get the eddy-front association results from sea surface temperature (SST) and sea level anomaly (SLA) data.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21707447.v2 Cite

EFARN code

Ying Ma, Fenglin Tian, Shuang Long, Baoxiang Huang, Wen Liu & Ge Chen
Software published via figshare
This program is eddy-front association recognition network (EFARN) proposed by Global Oceanic Eddy-Front Associations from Synergetic Remote Sensing Data by Deep Learning paper, the program can get the eddy-front association results from sea surface temperature (SST) and sea level anomaly (SLA) data.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21707447.v1 Cite

Registration Year

  • 2022
    3

Resource Types

  • Software
    3

Affiliations

  • Sun Yat-sen University
    3
  • Zhejiang University
    3
  • University of Michigan–Ann Arbor
    3
  • Southwest University
    3
  • University of Utah
    3
  • Southeast University
    3
  • Xinjiang Agricultural University
    3
  • First Hospital of Lanzhou University
    3

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