Published June 7, 2024 | Version v2
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Supplemental Figures for "On the comparative utility of entropic learning versus deep learning for long-range ENSO prediction"

Authors/Creators

  • 1. ROR icon Commonwealth Scientific and Industrial Research Organisation

Contributors

  • 1. ROR icon Commonwealth Scientific and Industrial Research Organisation
  • 2. ROR icon Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau

Description

Supplemental figures for the paper "On the comparative utility of entropic learning versus deep learning for long-range ENSO prediction".

Files

Files (6.3 GB)

Name Size
md5:633cf8222410507ca4ddb0048a4ce68c
6.3 GB Download
md5:b941a5f33b29bfdaed6b6404bfe5a997
11.5 kB Download
md5:8458afcb536805c4235be6e677ea903f
6.9 kB Download

Additional details

Related works

Is supplement to
Dataset: 10.22541/essoar.170688824.46505260/v1 (DOI)

Dates

Submitted
2024-06-07