A Hadoop cloud-based surrogate modelling framework for approximating complex hydrological models
Hydrological simulation has long been a challenge because of the computationally intensive and expensive nature of complex hydrological models. In this paper, a surrogate modelling (SM) framework is presented based on the Hadoop cloud for approximating complex hydrological models. The substantial mo...
Main Authors: | Jinfeng Ma, Hua Zheng, Ruonan Li, Kaifeng Rao, Yanzheng Yang, Weifeng Li |
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Format: | Article |
Language: | English |
Published: |
IWA Publishing
2023-03-01
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Series: | Journal of Hydroinformatics |
Subjects: | |
Online Access: | http://jhydro.iwaponline.com/content/25/2/511 |
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