Wavelet-based Seasonality Analysis

Wavelet-Based Seasonality Analysis is a time-series decomposition method that identifies and characterizes seasonal patterns through wavelet transforms, distinguishing itself from classical Fourier-based approaches by enabling localized, multi-resolution analysis of non-stationary seasonal fluctuations.

34

Publications

1.5K

Citations

124

Authors

58

Institutions

Publications per year

2017–2026

9

Authors

124

  1. UL
    Upmanu Lall

    Columbia University, United States

    2 publications · 64 citations

    2

    h-index

  2. TY
    Thian Yew Gan

    University of Alberta, Canada

    2 publications · 57 citations

    2

    h-index

  3. ST
    S. Tulasiram

    Geological Survey of India, India

    1 publications · 24 citations

    1

    h-index

  4. LS
    Lina Sofia Palacio-Mejía

    Instituto Nacional de Salud Pública, Mexico

    1 publications · 33 citations

    1

    h-index

  5. AK
    Ashok K. Mishra

    Clemson University, United States

    1 publications · 35 citations

    1

    h-index

1–5 of 124

Venues

  1. Monthly Weather Review

    2 publications · 57 citations

    2

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 49 citations

    2

    h-index

  3. Global and Planetary Change

    1 publications · 38 citations

    1

    h-index

  4. Geophysical Research Letters

    1 publications · 34 citations

    1

    h-index

  5. 1

    h-index

1–5