Climate Change

Climate change research focuses on understanding the causes, impacts, and potential mitigation strategies for global warming. Current research heavily utilizes machine learning, particularly deep learning models like transformers, convolutional neural networks (CNNs), and recurrent neural networks (RNNs), to analyze large climate datasets, predict future scenarios, and assess public opinion. These advancements are improving the accuracy of climate projections, facilitating the detection and attribution of climate change signals, and enabling more nuanced analyses of regional impacts and societal responses. Ultimately, this research aims to inform policy decisions and guide strategies for climate adaptation and mitigation.