Concepedia

Data-driven Rainfall-runoff Models

Data-Driven Rainfall-Runoff Models is a hydrological modeling approach that belongs to the class of rainfall-runoff models and is distinguished by its reliance on empirical data and statistical learning techniques to establish input-output relationships without requiring explicit representation of watershed physical processes.

423

Publications

27.6K

Citations

1.4K

Authors

644

Institutions

Publications per year

2017–2026

212

Parents

Publications

423

Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks

Frederik Kratzert, Daniel Klotz, Claire Brenner et al. · Hydrology and earth system sciences · 2018 · 1.8K citations · Full text

, , +11

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

Shuai Gao, Yuefei Huang, Shuo Zhang et al. · Journal of Hydrology · 2020 · 679 citations

, , +17

Rainfall-Runoff Modeling Using Artificial Neural Networks

A. Sezin Tokar, Peggy A. Johnson · Journal of Hydrologic Engineering · 1999 · 664 citations

, , +17

The Genetic Algorithm and Its Application to Calibrating Conceptual Rainfall‐Runoff Models

Quan J. Wang · Water Resources Research · 1991 · 605 citations

, , +16

A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models

K. P. Sudheer, A. K. Gosain, K. S. Ramasastri · Hydrological Processes · 2002 · 414 citations

, , +15

1–5 of 423

Authors

1.4K

  1. FK
    Frederik Kratzert

    Johannes Kepler University of Linz, Austria

    11 publications · 2.7K citations

    11

    h-index

  2. VN
    Vahid Nourani

    University of Tabriz, Iran

    10 publications · 714 citations

    10

    h-index

  3. DK
    Daniel Klotz

    Johannes Kepler University of Linz, Austria

    10 publications · 2.7K citations

    10

    h-index

  4. GN
    Grey Nearing

    University of Alabama, United States

    8 publications · 729 citations

    8

    h-index

  5. DS
    Dimitri Solomatine

    IHE Delft Institute for Water Education, Netherlands

    6 publications · 934 citations

    6

    h-index

1–5 of 1.4K

Institutions

644

  1. University of Tabriz

    Tabriz, Iran

    13 h-index

    19 publications

    1.7K citations

  2. University of Arizona

    Tucson, United States

    9 h-index

    14 publications

    1.3K citations

  3. Hohai University

    Nanjing, China

    9 h-index

    29 publications

    1.9K citations

  4. Wuhan University

    Wuhan, China

    9 h-index

    24 publications

    863 citations

  5. Delft University of Technology

    Delft, The Netherlands

    9 h-index

    13 publications

    1.8K citations

  6. Indian Institute of Technology Roorkee

    Roorkee, India

    8 h-index

    12 publications

    427 citations

  7. Chinese Academy of Sciences

    Beijing, China

    8 h-index

    16 publications

    2K citations

  8. IHE Delft Institute for Water Education

    Delft, The Netherlands

    8 h-index

    12 publications

    1.5K citations

1–8 of 644

Venues

  1. Journal of Hydrology

    44 publications · 4.3K citations

    31

    h-index

  2. Water

    33 publications · 1.5K citations

    22

    h-index

  3. Hydrology and earth system sciences

    20 publications · 4.1K citations

    19

    h-index

  4. Water Resources Research

    16 publications · 2.1K citations

    16

    h-index

  5. Hydrological Sciences Journal

    16 publications · 971 citations

    15

    h-index

1–5