Precipitation Modeling for Extreme Weather Based on Sparse Hybrid Machine Learning and Markov Chain Random Field in a Multi-Scale Subspace

Precipitation Modeling for Extreme Weather Based on Sparse Hybrid Machine Learning and Markov Chain Random Field in a Multi-Scale Subspace

This paper proposes to apply a Markov chain random field conditioning method with a hybrid machine learning method to provide long-range precipitation predictions under increasingly extreme weather conditions. Existing precipitation models are limited in time-span, and long-range simulations cannot...

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Bibliographic Details
Main Authors: Ming-Hsi Lee, Yenming J. Chen
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Water
Subjects:
climate change
stochastic model
multi-scale analysis
Markov chain random field
optimal ensemble learning
Online Access:https://www.mdpi.com/2073-4441/13/9/1241

Internet

https://www.mdpi.com/2073-4441/13/9/1241

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