Comparison of Tree-Based Ensemble Algorithms for Merging Satellite and Earth-Observed Precipitation Data at the Daily Time Scale

Comparison of Tree-Based Ensemble Algorithms for Merging Satellite and Earth-Observed Precipitation Data at the Daily Time Scale

Merging satellite products and ground-based measurements is often required for obtaining precipitation datasets that simultaneously cover large regions with high density and are more accurate than pure satellite precipitation products. Machine and statistical learning regression algorithms are regul...

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Bibliographic Details
Main Authors: Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis, Nikolaos Doulamis
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Hydrology
Subjects:
contiguous US
gradient boosting machines
IMERG
machine learning
PERSIANN
random forests
Online Access:https://www.mdpi.com/2306-5338/10/2/50

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