Nonstationary Streamflow Forecasting

Nonstationary Streamflow Forecasting is a streamflow forecasting approach that accounts for time-varying statistical properties in hydrological systems, distinguishing itself from traditional methods by explicitly modeling nonstationarities arising from climate change, land-use changes, or other external forcings.

34

Publications

2.2K

Citations

108

Authors

61

Institutions

Publications per year

2017–2026

13

Authors

108

  1. AJ
    Alex J. Cannon

    Environment and Climate Change Canada, Canada

    2 publications · 236 citations

    2

    h-index

  2. JL
    Jane L. Hutton

    University of Liverpool, United Kingdom

    2 publications · 23 citations

    2

    h-index

  3. JV
    Jai Vaze

    CSIRO Land and Water, Australia

    2 publications · 183 citations

    2

    h-index

  4. RW
    Reagan Waskom

    Colorado State University, United States

    1 publications · 16 citations

    1

    h-index

  5. JO
    Jesper Olsen

    Aarhus University, Denmark

    1 publications · 16 citations

    1

    h-index

1–5 of 108

Venues

  1. Journal of Hydrology

    12 publications · 1.4K citations

    11

    h-index

  2. Water Resources Management

    2 publications · 160 citations

    2

    h-index

  3. Journal of Applied Probability

    JAP · 2 publications · 23 citations

    2

    h-index

  4. Journal of Hydrologic Engineering

    2 publications · 37 citations

    2

    h-index

  5. 2

    h-index

1–5