Real-time Streamflow Forecasting

Real-Time Streamflow Forecasting is a hydrological prediction methodology that enables the continuous estimation of instantaneous river discharge values as observational and meteorological data become available, distinguishing itself from offline or retrospective approaches by requiring immediate model execution and output delivery to support time-sensitive water resource and flood management decisions.

279

Publications

22.7K

Citations

847

Authors

399

Institutions

Publications per year

2017–2026

149

Authors

847

  1. ÖK
    Özgür Kişi

    Ilia State University, Georgia

    19 publications · 2.5K citations

    19

    h-index

  2. AE
    Ahmed El‐Shafie

    University of Malaya, Malaysia

    15 publications · 2.2K citations

    15

    h-index

  3. ZM
    Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

    Ton Duc Thang University, Vietnam

    13 publications · 2.7K citations

    13

    h-index

  4. AD
    Ali Danandeh Mehr

    Antalya Bilim University, Türkiye

    8 publications · 907 citations

    8

    h-index

  5. RC
    Ravinesh C. Deo

    University of Southern Queensland, Australia

    7 publications · 1.8K citations

    7

    h-index

1–5 of 847

Venues

  1. Journal of Hydrology

    84 publications · 10.7K citations

    56

    h-index

  2. Water Resources Management

    35 publications · 2.6K citations

    27

    h-index

  3. Water Resources Research

    10 publications · 646 citations

    10

    h-index

  4. 9

    h-index

  5. Neural Computing and Applications

    8 publications · 432 citations

    8

    h-index

1–5