[HTML][HTML] Forecasting of meteorological drought using Hidden Markov Model (case study: The upper Blue Nile river basin, Ethiopia)
M Khadr - Ain Shams Engineering Journal, 2016 - Elsevier
An improved drought management must rely on an accurate monitoring and forecasting of
the phenomenon in order to activate appropriate mitigation measures. In this study, several
homogenous Hidden Markov Models (HMMs) were developed to forecast droughts using
the Standardized Precipitation Index, SPI, at short-medium term. Validation of the developed
models was carried out with reference to precipitation series observed in 22 stations located
in the upper Blue Nile river basin. The performance of the HMM was measured using …
the phenomenon in order to activate appropriate mitigation measures. In this study, several
homogenous Hidden Markov Models (HMMs) were developed to forecast droughts using
the Standardized Precipitation Index, SPI, at short-medium term. Validation of the developed
models was carried out with reference to precipitation series observed in 22 stations located
in the upper Blue Nile river basin. The performance of the HMM was measured using …
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