Climate Pattern
Climate pattern research focuses on improving the accuracy and resolution of weather and climate predictions, particularly for extreme events like droughts, heatwaves, and intense precipitation. Current research utilizes advanced machine learning models, including convolutional neural networks, generative adversarial networks, and large language models, to analyze diverse datasets (satellite imagery, radar data, meteorological station readings) and improve forecasting capabilities. These advancements are crucial for enhancing disaster preparedness, optimizing resource management (e.g., water resources, energy production), and informing climate change mitigation and adaptation strategies.
Papers
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
Md Shazid Islam, Md Saydur Rahman, Md Saad Ul Haque, Farhana Akter Tumpa, Md Sanzid Bin Hossain, Abul Al Arabi
Comparative Evaluation of Weather Forecasting using Machine Learning Models
Md Saydur Rahman, Farhana Akter Tumpa, Md Shazid Islam, Abul Al Arabi, Md Sanzid Bin Hossain, Md Saad Ul Haque