Comprehensive Performance Evaluation of Deep Learning Algorithms for Multi-Variable Climate Prediction: RNN, LSTM, and GRU Analysis
The selection of appropriate deep learning architectures for climate prediction remains a critical challenge in atmospheric sciences, with different algorithms showing varying performance across climate variables and geographical regions. This study presents a comprehensive comparative analysis of three prominent deep...