Original paper

An evaluation of statistical, NMME and hybrid models for drought prediction in China

Volume: 566, Pages: 235 - 249
Published: Nov 1, 2018
Abstract
The predictability of droughts in China was investigated using a series of statistical, dynamic and hybrid models. The results indicate that, statistical models exhibit better skill in forecasting the Standardized Precipitation Index in six months (SPI6) than dynamic models. Overall, the ensemble streamflow prediction (ESP) method and wavelet machine learning models outperform other statistical models in forecasting SPI6. The hybrid model can...
Paper Details
Title
An evaluation of statistical, NMME and hybrid models for drought prediction in China
Published Date
Nov 1, 2018
Volume
566
Pages
235 - 249
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