Interannual Variability Analysis

Interannual Variability Analysis is a methodological framework within temporal change detection that characterizes deviations in environmental or geospatial phenomena across years by isolating long-term trends from short-term fluctuations to identify statistically significant year-to-year changes.

2.6K

Publications

191.6K

Citations

8K

Authors

1.9K

Institutions

Publications per year

2017–2026

650

Authors

8K

  1. TZ
    Tianjun Zhou

    Institute of Atmospheric Physics, China

    24 publications · 1.8K citations

    21

    h-index

  2. KE
    Kevin E. Trenberth

    NSF National Center for Atmospheric Research, United States

    15 publications · 1.7K citations

    14

    h-index

  3. CH
    Chao He

    Chinese Academy of Sciences, China

    10 publications · 531 citations

    10

    h-index

  4. AC
    Andrew C. Thomas

    University of Maine, United States

    10 publications · 548 citations

    10

    h-index

  5. RJ
    Richard J. Greatbatch

    GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany

    9 publications · 305 citations

    9

    h-index

1–5 of 8K

Venues

  1. Journal of Climate

    286 publications · 30.1K citations

    95

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 243 publications · 21.4K citations

    84

    h-index

  3. Geophysical Research Letters

    218 publications · 15.1K citations

    70

    h-index

  4. International Journal of Climatology

    151 publications · 10K citations

    50

    h-index

  5. Climate Dynamics

    78 publications · 5K citations

    37

    h-index

1–5