Enso Forecasting

ENSO Forecasting is a predictive modeling methodology within climate science that specifically aims to anticipate the timing, intensity, and impacts of El Niño-Southern Oscillation events by analyzing oceanic and atmospheric precursors.

616

Publications

43K

Citations

1.4K

Authors

475

Institutions

Publications per year

2017–2026

199

Authors

1.4K

  1. MB
    Magdalena Balmaseda

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    22 publications · 1.4K citations

    21

    h-index

  2. WD
    Wansuo Duan

    Chinese Academy of Sciences, China

    25 publications · 2.1K citations

    20

    h-index

  3. AG
    Anthony G. Barnston

    NOAA National Centers for Environmental Prediction, United States

    20 publications · 2.8K citations

    18

    h-index

  4. YT
    Youmin Tang

    University of Northern British Columbia, Canada

    21 publications · 914 citations

    17

    h-index

  5. MK
    Michael K. Tippett

    Columbia University, United States

    19 publications · 2K citations

    17

    h-index

1–5 of 1.4K

Venues

  1. Journal of Climate

    86 publications · 6.2K citations

    41

    h-index

  2. Climate Dynamics

    82 publications · 4.7K citations

    38

    h-index

  3. Geophysical Research Letters

    63 publications · 3.9K citations

    33

    h-index

  4. Bulletin of the American Meteorological Society

    BAMS · 28 publications · 5.2K citations

    24

    h-index

  5. Monthly Weather Review

    27 publications · 2.2K citations

    22

    h-index

1–5