Nature

Climate modeling for South Asia: statistical and deep learning for rainfall and temperature prediction

We benchmark four approaches for hydrometeorological forecasting—SARIMA, TDNN, LSTM, and XGBoost—within one reproducible pipeline for monthly rainfall and temperature across seven South Asian ...
Nature

Climate change prediction in Saudi Arabia using a CNN GRU LSTM hybrid deep learning model in al Qassim region

Climate change impacts weather, temperature, and environmental stability worldwide. This threatens ecosystems, agriculture, urban infrastructure, and public health. Long-term climate predictions are ...