Foundation models for weather and climate data understanding: A comprehensive survey
As artificial intelligence (AI) continues to rapidly evolve, the realm of Earth and atmospheric
sciences is increasingly adopting data-driven models, powered by progressive …
sciences is increasingly adopting data-driven models, powered by progressive …
Enhancing Regional Climate Downscaling through Advances in Machine Learning
Despite the sophistication of global climate models (GCMs), their coarse spatial resolution
limits their ability to resolve important aspects of climate variability and change at the local …
limits their ability to resolve important aspects of climate variability and change at the local …
Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals
Large Language Models (LLMs) have emerged as potent tools for advancing the United
Nations' Sustainable Development Goals (SDGs). However, the attitudinal disparities …
Nations' Sustainable Development Goals (SDGs). However, the attitudinal disparities …
Deep Learning and Foundation Models for Weather Prediction: A Survey
J Shi, A Shirali, B Jin, S Zhou, W Hu… - arXiv preprint arXiv …, 2025 - arxiv.org
Physics-based numerical models have been the bedrock of atmospheric sciences for
decades, offering robust solutions but often at the cost of significant computational …
decades, offering robust solutions but often at the cost of significant computational …
Archival and Dissemination of Knowledge on Global Warming and Protection of the Arctic
PA Mamudu - Arctic Marine Ecotoxicology, 2024 - Springer
The chapter focuses on knowledge dissemination on global warming, and protection of the
Arctic environments necessitates a multifaceted approach integrating advanced scientific …
Arctic environments necessitates a multifaceted approach integrating advanced scientific …