A Comparative Study of Four Merging Approaches for Regional Precipitation Estimation

A Comparative Study of Four Merging Approaches for Regional Precipitation Estimation

To identify suitable merging methods to improve regional precipitation estimates using multiple sources of precipitation data, this study applied four different approaches (multiple linear regression (MLR), feedforward neural network (FNN), random forest (RF) and long short-term memory network (LSTM...

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Bibliographic Details
Main Authors: Zedong Fan, Weiyue Li, Qin Jiang, Weiwei Sun, Jiahong Wen, Jun Gao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Accuracy improvement
data merging
gridded precipitation data
precipitation estimation
robustness
Online Access:https://ieeexplore.ieee.org/document/9358010/

Internet

https://ieeexplore.ieee.org/document/9358010/

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