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Review Open access Aug 2026

Deep learning techniques for extreme rainfall prediction: a review of state-of-the-art

The analysis reveals a transition from deterministic DI models to hybrid, physics-informed, uncertainty-aware, and operational forecasting systems that increasingly integrate AI with physical knowledge and heterogeneous environmental observations.

Braiton U. Mukhalela, S. Viriri, D. Ndzi et al. · 0 citations
Conference Sep 2026

Adaptive temporal feature extraction and prediction model optimization for extreme weather early warning

Extreme weather events pose significant threats to human life, infrastructure, and socio-economic stability, necessitating accurate and timely forecasting methods. Traditional time-series prediction models, such as recurrent and convolutional architectures, face limitations in handling non-stationary signals and abrupt...

Jin-Ran Du, Yong-Bo Zhou, Xiao-Xiao Wu · 0 citations
Open access Aug 2026

A CNN–LSTM Deep Learning Framework for Multivariate Temperature Forecasting and Extreme Weather Event Analysis

Experimental results reveal that the DL methods achieve significantly better forecasting of temperature as compared to the conventional ARIMA model, providing strong evidence of the value of combining DL methods for weather prediction.

Lakhan Bhaskar Kadel, M. Kalla · 0 citations
Open access Sep 2026

Collaborative short-term load forecasting with large and lightweight models under abrupt meteorological change scenarios

Dynamic meteorological fluctuations are a major source of forecasting bias and robustness degradation in short-term power load forecasting. In periods with frequent weather variability, abrupt temperature rises or drops can trigger local load mutations that are difficult for conventional models to capture accurately. T...

Jia-Xi Li, Jin-Jun Linghu, Peng Wei et al. · 0 citations
Open access Sep 2026

A multimodal transformer neural network framework for fine-scale wildfire occurrence forecasting

Wildfires have emerged as a major natural hazard under ongoing climate change, posing significant risks to ecosystems, infrastructure, and human life. While ignition events are often anthropogenic, wildfire propagation is predominantly governed by environmental drivers. These include (i) atmospheric conditions (e.g., t...

Qi-Jun Chen, Shao-Fan Li · 0 citations
Conference Aug 2026

SMART-Rain: iTransformer for Climate-Aware Multivariate Rainfall Forecasting

Accurate rainfall forecasting is essential for climate monitoring, disaster preparedness, and agricultural planning, particularly in data-scarce regions such as Yemen where rainfall variability significantly affects environmental and socioeconomic stability. This paper proposes the SMART-Rain framework for multivariate...

Saeed Ahmed, Rohit Sahu, Halah Hassen Aldumaini et al. · 0 citations

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