Enso Predictability

ENSO Predictability is a scientific construct that denotes the inherent potential to forecast the occurrence, timing, and magnitude of El Niño-Southern Oscillation events within a specified lead time, distinguished from other climate predictability concepts by its specific focus on the coupled ocean-atmosphere dynamics of the tropical Pacific.

585

Publications

41.3K

Citations

1.2K

Authors

452

Institutions

Publications per year

2017–2026

209

Authors

1.2K

  1. WD
    Wansuo Duan

    Chinese Academy of Sciences, China

    28 publications · 2.1K citations

    19

    h-index

  2. YT
    Youmin Tang

    University of Northern British Columbia, Canada

    22 publications · 904 citations

    16

    h-index

  3. FJ
    Fei‐Fei Jin

    University of Hawaiʻi at Mānoa, United States

    15 publications · 2.4K citations

    15

    h-index

  4. ZH
    Zeng‐Zhen Hu

    NOAA Climate Prediction Center

    15 publications · 716 citations

    15

    h-index

  5. AT
    Andrew T. Wittenberg

    NOAA Geophysical Fluid Dynamics Laboratory, United States

    16 publications · 2K citations

    15

    h-index

1–5 of 1.2K

Venues

  1. Journal of Climate

    123 publications · 8.8K citations

    49

    h-index

  2. Geophysical Research Letters

    81 publications · 5.6K citations

    43

    h-index

  3. Climate Dynamics

    97 publications · 5K citations

    40

    h-index

  4. Scientific Reports

    26 publications · 1.3K citations

    21

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 14 publications · 1.7K citations

    14

    h-index

1–5