Advancements in daily precipitation forecasting: A deep dive into daily precipitation forecasting hybrid methods in the Tropical Climate of Thailand
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This publication has 51 references indexed in Scilit:
- Deep Lagged-Wavelet for monthly rainfall forecasting in a tropical regionStochastic Environmental Research and Risk Assessment, 2022
- Rainfall nowcasting model for early warning systems applied to a case over Central ItalyNatural Hazards, 2022
- A Hybrid Model for Real-Time Probabilistic Flood Forecasting Using Elman Neural Network with Heterogeneity of Error DistributionsWater Resources Management, 2019
- Validation and reconstruction of rain gauge–based daily time series for the entire Amazon basinTheoretical and Applied Climatology, 2019
- Univariate Time Series Forecasting of Temperature and Precipitation with a Focus on Machine Learning Algorithms: a Multiple-Case Study from GreeceWater Resources Management, 2018
- A Comparative Study of Various Hybrid Wavelet Feedforward Neural Network Models for Runoff ForecastingWater Resources Management, 2017
- Using the mutual information technique to select explanatory variables in artificial neural networks for rainfall forecastingMeteorological Applications, 2015
- Daily precipitation predictions using three different wavelet neural network algorithms by meteorological dataStochastic Environmental Research and Risk Assessment, 2015
- A Bayesian model for stochastic generation of daily precipitation using an upper-bounded distribution functionStochastic Environmental Research and Risk Assessment, 2014
- Orthonormal bases of compactly supported waveletsCommunications on Pure and Applied Mathematics, 1988