Non-geostrophic Prognostic Models , Created by a team of authors, is a unique and in-depth study in the field of mathematical modeling and forecasting, which will be of particular interest to professionals and students, Data Science , Statistics and Applied Mathematics . This work not only reveals the theoretical foundations, but also offers practical approaches to the creation and application of non-geotrophic models, which makes it an indispensable tool for those who seek to understand the complex processes occurring in various fields of science and technology. The book explores key aspects of the development of predictive models that are independent of rigorous assumptions about geostrophic equilibrium. This allows the authors to explore a wider range of phenomena, including atmospheric dynamics, oceanography, and even social sciences. Readers will be able to learn about how non-geostrophic models can be used to more accurately predict climate change, analyze meteorological data and assess risks in various fields. This book will be especially useful for undergraduate and graduate students studying mathematics, physics, meteorology and related disciplines. It will also interest researchers and practitioners working in the fields of climatology, ecology and engineering. If you are looking for information on how modern mathematical methods can be applied to solve real problems, then this book will be a real discovery for you. The topics raised in Non-geotrophic Prognostic Models cover a wide range of topics, including mathematical theory, statistical methods, and practical applications. The authors emphasize the importance of adapting models to real conditions, which is a key point in scientific research. The book also touches on the reliability of forecasts and their interpretation, which makes it relevant in the face of global climate change and growing uncertainty in the world. The style of the authors is clear and accessible, which allows even complex concepts to be explained in simple and understandable language. This makes the book attractive not only for professionals, but also for a wide audience interested in science. The team of authors includes specialists with rich experience in their fields, which adds additional value and authority to the book. In addition, Non-geostrophic Prognostic Models may be of interest to those who are fond of science fiction and futurology, since many of the ideas presented in the book can be used to create scenarios for the future. Readers who are looking for books on mathematics, statistics, and modeling may also pay attention to works such as "