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Climate Science and AI
Paperback
Environmental StudiesGeneral ComputersProbability & Statistics
Publisher Price: $49.95
ISBN13: 9781634626491
Publisher: Technics Publications
Published: Feb 12 2025
Pages: 232
Weight: 0.70
Height: 0.49 Width: 6.00 Depth: 9.00
Language: English
Equip yourself with a robust understanding of climate science and how artificial intelligence, machine learning, analytics, and statistics can help us predict (and possibly postpone or prevent) the dramatic impacts of climate change.
We start and end with a time travel story that begins in 1900 and provides a glimpse into the year 2050. This is grounded in the present development and calculated projections of alterations until 2050, contingent upon the historical trajectory.
Global climate change significantly impacts various regions of the Earth, including landmasses, oceans, and the atmosphere. These are global areas, as humans, animals, and microorganisms inhabit a constantly evolving environment, leading to corresponding changes in their lives. Given that every component of the Earth is inhabited by humans, animals, diverse organisms, and microorganisms, these alterations are interconnected and can propagate throughout the system. Even seemingly minor modifications can have substantial or, in exceptionally rare instances, catastrophic consequences.
Rising temperatures in the Pacific Ocean, extensive coral bleaching in the Great Barrier Reef, and rapid changes in Niño patterns are examples of climate change's impacts on global weather patterns. The book also provides a comprehensive overview of the vast water bodies on the planet. Subsequently, it will delve into the transformation of storm patterns on the Gulf Coast, utilizing the limited scope to elucidate the changes that occurred over decades, transforming the natural state into a perilous condition for the entire ecosystem.
We posit that our climate will continue evolving at a pace similar to the past century, and the prevailing scientific calculations are reasonably accurate. The technical content of the book demonstrates the state-of-the-art methodologies of climate science employed in data collection, analysis, and prediction. While we can only assess the reliability of the underlying scientific principles, we cannot predict human behavior on a global scale. Significant changes in either direction, positive or negative, can have profound and unpredictable consequences.
Knowledge is power, and the more we know about climate change and the technologies and fields of study that allow us to understand and predict climate change, the more we can plan for (instead of react to) environmental changes.
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