Spatially Downscaling IMERG at Daily Scale Using Machine Learning Approaches Over Zhejiang, Southeastern China

Spatially Downscaling IMERG at Daily Scale Using Machine Learning Approaches Over Zhejiang, Southeastern China

Precipitation estimates with high accuracy and fine spatial resolution play an important role in the field of meteorology, hydrology, and ecology. In this study, support vector machine (SVM) and back-propagation neural network (BPNN) machine learning algorithms were used to downscale the Integrated...

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Bibliographic Details
Main Authors: Xiaoxiao Min, Ziqiang Ma, Jintao Xu, Kang He, Zhige Wang, Qingliang Huang, Jun Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Earth Science
Subjects:
precipitation
IMERG
downscaling
SVM
BPNN
Online Access:https://www.frontiersin.org/article/10.3389/feart.2020.00146/full

Internet

https://www.frontiersin.org/article/10.3389/feart.2020.00146/full

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