Potential of artificial intelligence-based techniques for rainfall forecasting in Thailand: A comprehensive review

M Waqas, UW Humphries, A Wangwongchai… - Water, 2023 - mdpi.com
Rainfall forecasting is one of the most challenging factors of weather forecasting all over the
planet. Due to climate change, Thailand has experienced extreme weather events, including …

Weather Prediction in Jakarta: An Analysis of Climate Data and Regional Influences using LSTM and GRU

WA Respaty, C Hong, NK Putra… - … Conference on Data …, 2023 - ieeexplore.ieee.org
This research investigates meteorological predictions in Jakarta using Long Short-Term
Memory (LSTM) and Gated Recurrent Unit (GRU) models, focusing on precipitation …

Advances in Deep-Learning-based Precipitation Nowcasting Techniques

Q Zheng, Q Liu, P Lao, Z Lu - Journal of Tropical Meteorology, 2024 - search.proquest.com
Precipitation nowcasting, as a crucial component of weather forecasting, focuses on
predicting very short-range precipitation, typically within six hours. This approach relies …

A Systematic Review of Deep Learning Applications in Interpolation and Extrapolation of Precipitation Data

M Sit, BZ Demiray, I Demir - 2022 - eartharxiv.org
With technological enhancements, the volume, velocity, and variety (3Vs) of the raw digital
Earth data have increased in recent years. Due to the increased availability of computer …

AN IN-DEPTH ANALYSIS OF ARTIFICIAL INTELLIGENCE APPROACHES FOR RAINFALL PREDICTION.

S Annapoorani, AK Kombaiya - International Journal of …, 2024 - search.ebscohost.com
Natural disasters and floods brought on by heavy rainfall pose serious threats to human
health and lives every year on a global scale. The intricacy of meteorological data makes it …