One of a series of accessible, illustrated guides to various weather and climate-related topics aimed at Key Stage 3 readers.

Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets has gone through an extraordinary fast development, both in terms of new insights and the breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight in the field but has himself made several contributions to new developments in the last 15 years. - Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that weather and climate science is producing ever larger and richer data sets, the topic of pattern extraction and interpretation has become an essential part. This book provides an up to date overview of the latest techniques and developments in this area. - Maarten Ambaum, Department of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of ground, ranging from classical linear pattern identification techniques to more modern machine learning, illustrated with examples from weather & climate science. It will be very valuable both as a tutorial for graduate and postgraduate students and as a reference text for researchers and practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K.

Explains how weather is not completely random; outlines daily, yearly, seasonal, and locational patterns; and provides simple labels for patterns based on the amount of temperature and moisture, such as "hot and dry."

Readers learn how weather patterns are affected by climate change in this comprehensive text, which aligns with current science curriculum topics and accessibly explores a concept readers are exposed to every day on the news. They discover how weather has changed over time because of factors such as greenhouse gases and the burning of fossil fuels. Information on how to minimize one’s carbon footprint and help battle the damage caused by climate change is also included. Full-color photographs provide a compelling visual element to enhance the readers’ learning experience.

Explore the dynamics of Earth's weather systems, patterns, and atmospheric conditions in this engaging book for Grades 6-8 Earth Science. Unravel the mysteries of how weather occurs, from the formation of air masses and fronts to the impact of high and low-pressure systems. Discover the role of temperature, humidity, and wind in shaping our daily weather. Essential for educators, homeschooling parents, and school librarians, this resource underscores the significance of atmospheric science in the STEM curriculum and invites young learners to predict and understand weather phenomena.

Uncover the mysteries of weather with this Grade 1 Earth and Space Science book, perfect for young meteorologists in the making. Through engaging explanations and activities, students will learn about the significant impact of weather on our lives, including how it influences our clothing, housing, and activities. Discover the science behind weather prediction, from understanding the causes of weather to utilizing meteorologists' tools to forecast it. Essential for any school library, this resource empowers students to look at the sky with curiosity and knowledge.

A fresh and compelling look at wild and awesome examples of weather in this revised and updated book in the Wonders of Creation series! Did you know the hottest temperature ever recorded was 134° F (56.7° C) on July 10, 1913 in Death Valley, California? The highest recorded surface wind speed was in the May 3, 1999, Oklahoma tornado, measured at 302 mph (486 kph)! The most snow to fall in a one-year period is 102 feet (3,150 cm) at Mount Rainier, Washington, from February 19, 1971 to February 18, 1972! From the practical to the pretty amazing, this book gives essential details into understanding what weather is, how it works, and how other forces that impact on it. Learn why storm chasers and hurricane hunters do what they do and how they are helping to solve storm connected mysteries. Discover what makes winter storms both beautiful and deadly, as well as what is behind weather phenomena like St. Elmo’s Fire. Find important information on climate history and answers to the modern questions of supposed climate change. Get safety tips for preventing dangerous weather related injuries like those from lightning strikes, uncover why thunderstorms form, as well as what we know about the mechanics of a tornado and other extreme weather examples like flash floods, hurricanes and more. A fresh and compelling look at wild and awesome examples of weather in this revised and updated book in the Wonders of Creation series!