The accelerating impacts of climate change necessitate innovative approaches to predict
and mitigate environmental changes. This paper explores the application of artificial …

Climate change prediction is a critical aspect of understanding and mitigating the impacts of
global environmental changes. This chapter provides an in-depth overview of deep learning …

The burgeoning threat of climate change has spurred an increased reliance on advanced
technologies to comprehend and mitigate its far-reaching consequences. Artificial …

Climate change is considered one of the greatest challenges for humanity in the twenty-first
century. The changing climate affects almost every aspect of people's lives, including but not …

This paper explores the transformative potential of artificial intelligence (AI) and data
analytics in climate science, specifically their roles in improving weather pattern predictions …

Most deep learning application studies have limited accessibility and reproducibility for
researchers and students in many domains, especially in earth and climate sciences. In …

Climate prediction models have traditionally relied on complex physical equations to
simulate the dynamics of the climate system, but these models often require significant …

Microclimate is a complex non-linear phenomenon influenced by both global and local
processes. Its understanding holds a pivotal role in the management of natural resources …

Recent trends have created new opportunities for machine learning to advance the art of
climate prediction. First, new and cheaper satellites are creating petabytes of climate …

The scientific community is under pressure to investigate novel methods for understanding
and forecasting the complex behaviors of the changing climate, as the modern era is …