The book "Methods of statistical processing of hydrometeorological information", created by the team of authors, is an important work that will be of particular interest to specialists in the field of meteorology, hydrology and ecology, as well as students and graduate students studying these sciences. In the face of global climate change and the growing need for accurate weather and water forecasts, this book is becoming an indispensable source of knowledge and practical skills. The main purpose of the book is to provide the reader with a systematic approach to the processing and analysis of hydrometeorological data .. The authors consider in detail various methods of statistical processing, ranging from simple statistical indicators to more complex models that allow to identify patterns and trends in changes in climatic conditions. The book raises current issues, such as the impact of climate change on natural resources and the need to adapt methods of data collection and analysis to modern challenges. Readers interested in this topic will find in the book many useful examples and practical tasks that will help to consolidate theoretical knowledge. The book will be useful not only to professional meteorologists and hydrologists, but also to researchers in related fields such as ecology, agronomy and even economics, where climatic factors play a significant role. Students and graduate students studying statistics, mathematics and natural sciences will also find here a lot of interesting and useful. One of the key topics addressed in the book is the need to integrate new technologies into traditional data processing methods. The authors focus on the use of modern software tools and algorithms, which makes the book especially relevant for those who seek to be at the forefront of scientific research. In the context of the rapid development of technologies such as machine learning and artificial intelligence, this publication offers readers not only theoretical foundations, but also practical recommendations for the use of these technologies in hydrometeorology. The style of the authors is characterized by accessibility and clarity of presentation, which allows even those who are just beginning to get acquainted with this topic, it is easy to assimilate the material. The book is full of illustrations, graphs and tables, which makes the information more clear and understandable. Each section ends with self-checking questions and assignments, which contributes to a deeper understanding of the material. If you are looking for literature that will help you understand the complex aspects of statistical data processing in the field of hydrometeorology, then “Methods of statistical processing of hydrometeorological information” will be an excellent choice. It will not only expand your knowledge, but also inspire new research and discoveries. This book could become a reference for anyone interested in climate change, water management and environmental sustainability. It will be useful for both professionals and students seeking to deepen their knowledge and skills in this important and relevant field. Do not miss the opportunity to get acquainted with this valuable work, which will certainly become an important contribution to your library.