Optimization-Based Prediction Uncertainty Qualification of Climatic Parameters

Point predictions of hydroclimatic processes through nonlinear modeling tools are associated with uncertainty. The main goal of this research was to construct prediction intervals (PIs) for nonlinear artificial neural network (ANN)-based models of evaporation and the standardized precipitation index...

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Vydané v:	Journal of Hydrometeorology Ročník 24; číslo 10; s. 1679 - 1697
Hlavní autori:	Nourani, Vahid, Sayyah-Fard, Mina, Kantoush, Sameh A., Bharambe, Khagendra P., Sumi, Tetsuya, Saber, Mohamed
Médium:	Journal Article
Jazyk:	English Japanese
Vydavateľské údaje:	Boston American Meteorological Society 01.10.2023
Predmet:	Artificial neural networks Climate Contingency Datasets Drought Environmental risk Evaporation Evaporation models Methods Modelling Neural networks Noise reduction Optimization Optimization techniques Precipitation Predictions Rain Standardized precipitation index Uncertainty Upper bounds Iran
ISSN:	1525-755X, 1525-7541
On-line prístup:	Získať plný text
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