Deep Learning for High-Resolution Weather and Weather Prediction

Anshika Singh; Hardik Singh

doi:10.71097/IJSAT.v16.i1.1942

Deep Learning for High-Resolution Weather and Weather Prediction

Author(s)	Anshika Singh, Hardik Singh
Country	India
Abstract	Recent advances in deep learning have opened new avenues in weather forecasting by providing novel methods to enhance prediction accuracy, increase resolution, and capture complex spatiotemporal dependencies inherent in atmospheric phenomena. Traditional numerical weather prediction (NWP) methods, while robust, are computationally expensive and struggle to capture localized extreme events such as heavy rainfall or convective storms. In contrast, deep learning techniques—ranging from convolutional neural networks (CNNs) and recurrent neural networks (RNNs) (including LSTM and ConvLSTM variants) to emerging capsule network architectures—offer a data-driven complement to physics-based models. This paper reviews recent progress in the use of deep learning for weather forecasting, discusses methodologies for generating high-resolution forecasts from coarse data (i.e., downscaling), and evaluates approaches for predicting heavy rainfall and extreme weather events. We critically analyze works such as “DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast” [1] and “Deep Learning for Improving Numerical Weather Prediction of Heavy Rainfall” [2], as well as the survey “Survey on the Application of Deep Learning in Extreme Weather Prediction” [3]. We also integrate additional findings from the broader literature [4–20] to present a comprehensive overview. Challenges and opportunities in model interpretability, data assimilation, and computational efficiency are examined, and future research directions are proposed.
Keywords	Deep learning, weather forecasting, high-resolution prediction, CNN, RNN, extreme weather, numerical weather prediction, downscaling.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-02-17
Cite This	Deep Learning for High-Resolution Weather and Weather Prediction - Anshika Singh, Hardik Singh - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.1942
DOI	https://doi.org/10.71097/IJSAT.v16.i1.1942
Short DOI	https://doi.org/g85dj5

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Deep Learning for High-Resolution Weather and Weather Prediction

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