Return Level Estimation

Return Level Estimation is a statistical inference procedure in extreme value theory that determines the magnitude of an environmental extreme event expected to be equaled or exceeded on average once per specified return period, based on the asymptotic behavior of tail distributions in hydrometeorological data.

95

Publications

4.3K

Citations

259

Authors

167

Institutions

Publications per year

2017–2026

42

Authors

259

  1. PN
    Philippe Naveau

    Laboratoire des Sciences du Climat et de l'Environnement, France

    6 publications · 137 citations

    6

    h-index

  2. LF
    Lee Fawcett

    Newcastle University, United Kingdom

    4 publications · 266 citations

    4

    h-index

  3. DW
    David Walshaw

    Newcastle University, United Kingdom

    4 publications · 304 citations

    4

    h-index

  4. TM
    T. Muhammed Naseef

    National Institute of Oceanography, India

    3 publications · 136 citations

    3

    h-index

  5. VS
    V. Sanil Kumar

    National Institute of Oceanography, India

    3 publications · 136 citations

    3

    h-index

1–5 of 259

Venues

  1. Water Resources Research

    6 publications · 382 citations

    6

    h-index

  2. Natural hazards and earth system sciences

    6 publications · 187 citations

    6

    h-index

  3. Journal of Climate

    5 publications · 331 citations

    5

    h-index

  4. Environmetrics

    4 publications · 359 citations

    4

    h-index

  5. Water

    4 publications · 77 citations

    4

    h-index

1–5