How to Predict the Weather PDF Download
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Author: Aaron Burch
Publisher:
ISBN: 9780982151266
Category : Fiction
Languages : en
Pages : 0
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Book Description
Short lyrical bursts blurring the lines between poetry and fiction, real and imaginary, humor and hope.
Author: Storm Dunlop
Publisher:
ISBN:
Category : Weather
Languages : en
Pages : 184
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Book Description
Describes weather forecasting, including how different phenomena develop, how geography produces local weather patterns, and ways to make a forecast at home.
Author: Aaron Burch
Publisher:
ISBN: 9780982151266
Category : Fiction
Languages : en
Pages : 0
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Book Description
Short lyrical bursts blurring the lines between poetry and fiction, real and imaginary, humor and hope.
Author: Thomas Kostigen
Publisher: National Geographic Kids
ISBN: 1426318111
Category : Juvenile Nonfiction
Languages : en
Pages : 116
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Book Description
"Record heat. Record storms. Record drought, snow, rain, and ocean levels. What's going on? In a world of crazy weather exacerbated by climate change, knowing about tornadoes, hurricanes, droughts, derachos, blizzards, and storms is more important than ever. This book, based on cutting-edge science and first-hand accounts, helps kids learn about what's going on and what to do about it"--Publisher.
Author: Katharine Anderson
Publisher: University of Chicago Press
ISBN: 0226019705
Category : Science
Languages : en
Pages : 342
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Book Description
Victorian Britain, with its maritime economy and strong links between government and scientific enterprises, founded an office to collect meteorological statistics in 1854 in an effort to foster a modern science of the weather. But as the office turned to prediction rather than data collection, the fragile science became a public spectacle, with its forecasts open to daily scrutiny in the newspapers. And meteorology came to assume a pivotal role in debates about the responsibility of scientists and the authority of science. Studying meteorology as a means to examine the historical identity of prediction, Katharine Anderson offers here an engrossing account of forecasting that analyzes scientific practice and ideas about evidence, the organization of science in public life, and the articulation of scientific values in Victorian culture. In Predicting the Weather, Anderson grapples with fundamental questions about the function, intelligibility, and boundaries of scientific work while exposing the public expectations that shaped the practice of science during this period. A cogent analysis of the remarkable history of weather forecasting in Victorian Britain, Predicting the Weather will be essential reading for scholars interested in the public dimensions of science.
Author: Kathleen Friestad
Publisher: Ideals Publications
ISBN: 9780824968229
Category : Meteorology
Languages : en
Pages : 0
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Book Description
Kids experience what makes the weather tick in this hands-on introduction to the science of meteorology. The authors explain how to make equipment to measure rainfall, wind direction, and humidity, record measurements and observations in a weather log, make weather predictions, and perform other related activities.
Author: Gail Gibbons
Publisher: Turtleback Books
ISBN: 9780785705475
Category : Weather forecasting
Languages : en
Pages : 0
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Book Description
Describes forecasters at work in a weather station as they use sophisticated equipment to track and gauge the constant changes in the weather
Author: Lewis F. Richardson
Publisher:
ISBN:
Category : Numerical weather forecasting
Languages : en
Pages : 258
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Book Description
Author: Haraldur Olafsson
Publisher: Elsevier
ISBN: 0128157100
Category : Computers
Languages : en
Pages : 366
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Book Description
Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to use reference. The book illustrates particular uncertainties in observations and data assimilation, as well as the errors associated with numerical integration methods. Stochastic methods in parameterization of subgrid processes are also assessed, as are uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts. This is an essential work for anyone who wants to improve the accuracy of weather and climate forecasting and interested parties developing tools to enhance the quality of such forecasts. Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometers Focuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecasts Includes references to climate prediction models to allow applications of these techniques for climate simulations
Author: Kris Brandt Riske
Publisher: Llewellyn Worldwide
ISBN: 0738742007
Category : Body, Mind & Spirit
Languages : en
Pages : 324
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Book Description
The Power of Weather Forecasting Is Yours through Astrology Discover how to predict large-scale weather events, from hurricanes and tornadoes to droughts and floods, with astrology as your guide. Using past examples of what was in the stars when major events occurred and providing sample calculations for future dates, Llewellyn's bestselling astrology author explains how you can chart weather events. Predicting Weather Events with Astrology features an extensive collection of techniques for forecasting weather that will occur weeks, months, or even years in advance. By studying the planets and their aspects, solar ingresses and lunar phases, and latitude and longitude, you can generate predictions for weather events happening at any time, any place. Ideal for intermediate astrologers and weather enthusiasts, this comprehensive book is an indispensible guide to astrometeorology. Includes seventy charts!
Author: Soma Halder
Publisher: Packt Publishing Ltd
ISBN: 178899096X
Category : Computers
Languages : en
Pages : 306
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Book Description
Get into the world of smart data security using machine learning algorithms and Python libraries Key FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workflow by applying use cases to many facets of securityImplement smart machine learning solutions to detect various cybersecurity problemsBook Description Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems What you will learnUse machine learning algorithms with complex datasets to implement cybersecurity conceptsImplement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problemsLearn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDAUnderstand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimesUse TensorFlow in the cybersecurity domain and implement real-world examplesLearn how machine learning and Python can be used in complex cyber issuesWho this book is for This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book
