As artificial intelligence (AI) continues to rapidly evolve, the realm of Earth and atmospheric
sciences is increasingly adopting data-driven models, powered by progressive …

In recent years, Transformers have become the de-facto architecture for sequence modeling
on text and a variety of multi-dimensional data, such as images and video. However, the use …

This study examines the crucial role of wind energy in mitigating global warming and
promoting sustainable energy development, with a focus on the impact of climate change on …

Climate models have been key for assessing the impact of climate change and simulating
future climate scenarios. The machine learning (ML) community has taken an increased …

Air pollution poses serious health concerns in developing countries, such as India,
necessitating large-scale measurement for correlation analysis, policy recommendations …

Foundation models have enormous potential in advancing Earth and climate sciences,
however, current approaches may not be optimal as they focus on a few basic features of a …

Operational weather forecasting system relies on computationally expensive physics-based
models. Although Transformers-based models have shown remarkable potential in weather …

Climate informatics connects climate science and data analytics to further the knowledge
and understanding of climate data and its applications. The utilization of climate models has …

This paper takes a comprehensive look at Artificial Intelligence (AI)-based weather
forecasting models and focuses on the current status, challenges, and directions for further …

The Copernicus Regional Reanalysis for Europe, CERRA, is a high-resolution regional
reanalysis dataset for the European domain. In recent years it has shown significant utility …