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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Bibliographic Details
Published in:	Journal of Hydrometeorology Vol. 24; no. 10; pp. 1679 - 1697
Main Authors:	Nourani, Vahid, Sayyah-Fard, Mina, Kantoush, Sameh A., Bharambe, Khagendra P., Sumi, Tetsuya, Saber, Mohamed
Format:	Journal Article
Language:	English Japanese
Published:	Boston American Meteorological Society 01.10.2023
Subjects:	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
Online Access:	Get full text
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