Discover how to:
- Understand the fundamentals of climate modeling, including atmospheric, oceanic, and terrestrial processes, and their interactions and feedbacks
- Apply advanced supercomputing techniques for climate modeling, including parallel processing, data assimilation, and uncertainty quantification
- Leverage climate modeling for environmental prediction and decision-making, including applications in weather forecasting, climate projection, and impact assessment
- Develop and implement effective climate resilience and sustainability strategies, including climate change mitigation, adaptation, and vulnerability assessment
- Stay ahead of the curve with emerging trends and future directions in supercomputing and climate modeling, including advances in artificial intelligence, machine learning, and high-performance computing
This ebook covers key topics such as:
- Introduction to climate modeling: fundamentals, principles, and applications
- Supercomputing for climate modeling: parallel processing, data assimilation, and uncertainty quantification
- Climate modeling applications: weather forecasting, climate projection, impact assessment, and decision-making
- Climate resilience and sustainability: mitigation, adaptation, vulnerability assessment, and strategy development
- Emerging trends and future directions: AI, machine learning, high-performance computing, and more
This ebook is divided into four parts:
- Introduction to Climate Modeling and Supercomputing
- Advanced Supercomputing Techniques for Climate Modeling
- Climate Modeling Applications and Decision-Making
- Climate Resilience and Sustainability Strategies
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.