AI for Climate Modeling: Forecasting Weather and Environmental Change

By Kalen Virell

The climate is changing faster than ever, and understanding these shifts is critical for governments, businesses, and communities. AI for Climate Modeling shows you how artificial intelligence can help predict weather patterns, assess environmental change, and guide decisions that protect people and the planet.

This book takes you from the basics of climate data and environmental modeling to advanced AI techniques that make forecasts more accurate and actionable. You'll learn how to use machine learning and deep learning for temperature predictions, precipitation modeling, storm tracking, and long-term environmental projections. The book covers data preprocessing for climate datasets, time series forecasting, satellite imagery analysis, and integrating multiple data sources like sensors, remote sensing, and historical records.

With practical, step-by-step projects in Python using TensorFlow, PyTorch, and SciPy, you will build models that can predict floods, droughts, crop yields, and temperature anomalies. The book also teaches model evaluation, uncertainty quantification, and scenario analysis so your forecasts are reliable, interpretable, and ready for decision-making.

Whether you are a data scientist, environmental researcher, or policy advisor, this guide equips you to apply AI effectively to climate challenges. Buy this book now and start building intelligent systems that forecast the future of our planet.

• Format: Paperback
• Language: English
• ISBN: B0FMR4NNYF
• ISBN13: 9798298528672
• Release Date: August 2025
• Publisher: Independently Published
• Length: 178 Pages
• Weight: 0.54 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"