Closure to “One-Day-Ahead Streamflow Forecasting Using Artificial Neural Networks and a Meteorological Mesoscale Model” by Alvaro Linares-Rodriguez, Vicente Lara-Fanego, David Pozo-Vazquez, and Joaquin Tovar-Pescador-Reference-Cited by-同舟云学术

Closure to “One-Day-Ahead Streamflow Forecasting Using Artificial Neural Networks and a Meteorological Mesoscale Model” by Alvaro Linares-Rodriguez, Vicente Lara-Fanego, David Pozo-Vazquez, and Joaquin Tovar-Pescador

Published:2016-01 Issue:1 Volume:21 Page:07015022
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Linares-Rodriguez Alvaro¹,Lara-Fanego Vicente²,Pozo-Vazquez David³,Tovar-Pescador Joaquin⁴

Affiliation:

1. Ph.D. Candidate, Polytechnic Univ. College, Univ. of Jaén, Building A3, Campus Lagunillas, 23071 Jaén, Spain.

2. Researcher, Synermet Weather Solutions S.L., C/ Fuente de Don Diego, 30. 23001 Jaén, Spain.

3. Associate Professor, Polytechnic Univ. College, Univ. of Jaén, Building A3, Campus Lagunillas, 23071 Jaén, Spain.

4. Professor, Polytechnic Univ. College, Univ. of Jaén, Building A3, Campus Lagunillas, 23071 Jaén, Spain (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001301

Reference10 articles.

1. Ensemble Streamflow Forecast: A GLUE-Based Neural Network Approach

2. Discussion of “one-day-ahead streamflow forecasting using artificial neural networks and a meteorological mesoscale model”;Bozorg-Haddad O.;J. Hydrol. Eng.,2015

3. Hydrological modelling using artificial neural networks

4. Streamflow Forecasting Using Different Artificial Neural Network Algorithms

5. Evaluating the use of “goodness-of-fit” Measures in hydrologic and hydroclimatic model validation

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