Advancements in daily precipitation forecasting: A deep dive into daily precipitation forecasting hybrid methods in the Tropical Climate of Thailand-Reference-Cited by-同舟云学术

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Advancements in daily precipitation forecasting: A deep dive into daily precipitation forecasting hybrid methods in the Tropical Climate of Thailand

Published:2024-06 Issue: Volume:12 Page:102757
ISSN:2215-0161
Container-title:MethodsX
language:en
Short-container-title:MethodsX

Author:

Waqas Muhammad^ORCID,Humphries Usa Wannasingha,Hlaing Phyo Thandar,Wangwongchai Angkool,Dechpichai Porntip

Publisher

Elsevier BV

Reference73 articles.

1. Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments;Salih;Hydrolog. Sci. J.,2020

2. Incorporating novel input variable selection method for in the different water basins of Thailand;Waqas;Alexandria Eng. J.,2024

3. A hybrid wavelet neural network model with mutual information and particle swarm optimization for forecasting monthly rainfall;He;J. Hydrol.,2015

4. Imputation of missing daily rainfall data; A comparison between artificial intelligence and statistical techniques;Wangwongchai;MethodsX.,2023

5. Potential of artificial intelligence-based techniques for rainfall forecasting in Thailand: A comprehensive review;Waqas;Water.,2023

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hydrological model parameter regionalization: Runoff estimation using machine learning techniques in the Tha Chin River Basin, Thailand;MethodsX;2024-12

2. Assessment of CMIP6 GCMs for selecting a suitable climate model for precipitation projections in Southern Thailand;Results in Engineering;2024-09

3. A Critical Review of RNN and LSTM Variants in Hydrological Time Series Predictions;MethodsX;2024-09

4. Optimizing Temporal Weighting Functions to Improve Rainfall Prediction Accuracy in Merged Numerical Weather Prediction Models for the Korean Peninsula;Remote Sensing;2024-08-08

5. A deep learning perspective on meteorological droughts prediction in the Mun River Basin, Thailand;AIP Advances;2024-08-01

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