Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin

Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin

IntroductionIn complex mountain basins, hydrological forecasting poses a formidable challenge due to the intricacies of runoff generation processes and the limitations of available data. This study explores the enhancement of short-term runoff forecasting models through the utilization of long short...

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Bibliographic Details
Main Authors: María José Merizalde, Paul Muñoz, Gerald Corzo, David F. Muñoz, Esteban Samaniego, Rolando Célleri
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Water
Subjects:
hydrological forecasting
SCS-CN method
machine learning
feature engineering
GSMaP
tropical Andes
Online Access:https://www.frontiersin.org/articles/10.3389/frwa.2023.1233899/full

Internet

https://www.frontiersin.org/articles/10.3389/frwa.2023.1233899/full

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