Monthly Streamflow Prediction by Metaheuristic Regression Approaches Considering Satellite Precipitation Data

Monthly Streamflow Prediction by Metaheuristic Regression Approaches Considering Satellite Precipitation Data

In this study, the viability of three metaheuristic regression techniques, CatBoost (CB), random forest (RF) and extreme gradient tree boosting (XGBoost, XGB), is investigated for the prediction of monthly streamflow considering satellite precipitation data. Monthly streamflow data from three measur...

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Bibliographic Details
Main Authors: Mojtaba Mehraein, Aadhityaa Mohanavelu, Sujay Raghavendra Naganna, Christoph Kulls, Ozgur Kisi
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Water
Subjects:
streamflow prediction
metaheuristic regression approaches
satellite precipitation data
TRMM
Online Access:https://www.mdpi.com/2073-4441/14/22/3636

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