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Testing machine learning algorithms as post-processing tools for hydro-meteorological modelling over a small river basin

delete2025-06-26
delete0
PRE
AI
C
Chengjing Xu
P
Ping‐an Zhong *
S
Silvio Davolio
O
Oxana Drofa
E
Enrico Gambini
G
Giovanni Ravazzani
A
Alessandro Ceppi
DOI：10.1016/j.envsoft.2025.106592delete
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摘要

摘要

En 中文
• 混合框架集成了MOLOCH气象、FEST水文和集合机器学习模型。 • 实时校正采用通过堆叠（Stacking）集成的多种机器学习算法。 • 该框架专门设计用于提升小型快速响应河流流域的小时径流预报。 • 与AR和LSTM模型进行的广泛评估证明了该框架的有效性。

期刊

E
Environmental Modelling and Software
IF:
4.6
论文数:
511
被引数:
1.8W

机构

H
Hohai University
学者数:
2.3W
论文数: 1.8W
被引数: 2.1W
P
Politecnico di Milano
学者数:
1.1K
论文数: 524
被引数: 2.0W
U
università di milano
学者数:
149
论文数: 48
被引数: 0
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