Author: Paul Fleisher
Publisher: Lerner Publications
ISBN: 0761363270
Category : Juvenile Nonfiction
Languages : en
Pages : 52
Book Description
How do scientists predict the weather? What tools and instruments help them make forecasts? How far in advance can they make good predictions? Weather forecasting is a tricky science. Forecasters gather current weather data and study trends and historical patterns. They use their expertise to predict what kind of weather is likely coming next—with help from computers, satellites, and other machines. In this fact-packed book, discover what it really takes to forecast Earth’s weather.
Doppler Radar, Satellites, and Computer Models
Author: Paul Fleisher
Publisher: Lerner Publications
ISBN: 0761363270
Category : Juvenile Nonfiction
Languages : en
Pages : 52
Book Description
How do scientists predict the weather? What tools and instruments help them make forecasts? How far in advance can they make good predictions? Weather forecasting is a tricky science. Forecasters gather current weather data and study trends and historical patterns. They use their expertise to predict what kind of weather is likely coming next—with help from computers, satellites, and other machines. In this fact-packed book, discover what it really takes to forecast Earth’s weather.
Publisher: Lerner Publications
ISBN: 0761363270
Category : Juvenile Nonfiction
Languages : en
Pages : 52
Book Description
How do scientists predict the weather? What tools and instruments help them make forecasts? How far in advance can they make good predictions? Weather forecasting is a tricky science. Forecasters gather current weather data and study trends and historical patterns. They use their expertise to predict what kind of weather is likely coming next—with help from computers, satellites, and other machines. In this fact-packed book, discover what it really takes to forecast Earth’s weather.
Forecasting with Computer Models
Author: Rodney D. Green
Publisher: Praeger Publishers
ISBN:
Category : Computer simulation
Languages : en
Pages : 280
Book Description
Publisher: Praeger Publishers
ISBN:
Category : Computer simulation
Languages : en
Pages : 280
Book Description
Structured Learning and Prediction in Computer Vision
Author: Sebastian Nowozin
Publisher: Now Publishers Inc
ISBN: 1601984561
Category : Computers
Languages : en
Pages : 195
Book Description
Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision.
Publisher: Now Publishers Inc
ISBN: 1601984561
Category : Computers
Languages : en
Pages : 195
Book Description
Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision.
Atmospheric Modeling, Data Assimilation and Predictability
Author: Eugenia Kalnay
Publisher: Cambridge University Press
ISBN: 9780521796293
Category : Mathematics
Languages : en
Pages : 368
Book Description
This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.
Publisher: Cambridge University Press
ISBN: 9780521796293
Category : Mathematics
Languages : en
Pages : 368
Book Description
This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.
Weather Prediction by Numerical Process
Author: Lewis F. Richardson
Publisher:
ISBN:
Category : Numerical weather forecasting
Languages : en
Pages : 258
Book Description
Publisher:
ISBN:
Category : Numerical weather forecasting
Languages : en
Pages : 258
Book Description
The Weather Machine
Author: Andrew Blum
Publisher: HarperCollins
ISBN: 1443438618
Category : Science
Languages : en
Pages : 191
Book Description
From the acclaimed author of Tubes, a lively and surprising tour through the global network that predicts our weather, the people behind it, and what it reveals about our climate and our planet The weather is the foundation of our daily lives. It’s a staple of small talk, the app on our smartphones, and often the first thing we check each morning. Yet, behind all these humble interactions is the largest and most elaborate piece of infrastructure human beings have ever constructed—a triumph of both science and global cooperation. But what is the weather machine, and who created it? In The Weather Machine, Andrew Blum takes readers on a fascinating journey through the people, places, and tools of forecasting, exploring how the weather went from something we simply observed to something we could actually predict. As he travels across the planet, he visits some of the oldest and most important weather stations and watches the newest satellites blast off. He explores the dogged efforts of forecasters to create a supercomputer model of the atmosphere, while trying to grasp the ongoing relevance of TV weather forecasters. In the increasingly unpredictable world of climate change, correctly understanding the weather is vital. Written with the sharp wit and infectious curiosity Andrew Blum is known for, The Weather Machine pulls back the curtain on a universal part of our everyday lives, illuminating our changing relationships with technology, the planet, and our global community.
Publisher: HarperCollins
ISBN: 1443438618
Category : Science
Languages : en
Pages : 191
Book Description
From the acclaimed author of Tubes, a lively and surprising tour through the global network that predicts our weather, the people behind it, and what it reveals about our climate and our planet The weather is the foundation of our daily lives. It’s a staple of small talk, the app on our smartphones, and often the first thing we check each morning. Yet, behind all these humble interactions is the largest and most elaborate piece of infrastructure human beings have ever constructed—a triumph of both science and global cooperation. But what is the weather machine, and who created it? In The Weather Machine, Andrew Blum takes readers on a fascinating journey through the people, places, and tools of forecasting, exploring how the weather went from something we simply observed to something we could actually predict. As he travels across the planet, he visits some of the oldest and most important weather stations and watches the newest satellites blast off. He explores the dogged efforts of forecasters to create a supercomputer model of the atmosphere, while trying to grasp the ongoing relevance of TV weather forecasters. In the increasingly unpredictable world of climate change, correctly understanding the weather is vital. Written with the sharp wit and infectious curiosity Andrew Blum is known for, The Weather Machine pulls back the curtain on a universal part of our everyday lives, illuminating our changing relationships with technology, the planet, and our global community.
Forecasting: principles and practice
Author: Rob J Hyndman
Publisher: OTexts
ISBN: 0987507117
Category : Business & Economics
Languages : en
Pages : 380
Book Description
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Publisher: OTexts
ISBN: 0987507117
Category : Business & Economics
Languages : en
Pages : 380
Book Description
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Weather Modeling and Forecasting of PV Systems Operation
Author: Marius Paulescu
Publisher: Springer Science & Business Media
ISBN: 1447146492
Category : Technology & Engineering
Languages : en
Pages : 364
Book Description
In the past decade, there has been a substantial increase of grid-feeding photovoltaic applications, thus raising the importance of solar electricity in the energy mix. This trend is expected to continue and may even increase. Apart from the high initial investment cost, the fluctuating nature of the solar resource raises particular insertion problems in electrical networks. Proper grid managing demands short- and long-time forecasting of solar power plant output. Weather modeling and forecasting of PV systems operation is focused on this issue. Models for predicting the state of the sky, nowcasting solar irradiance and forecasting solar irradiation are studied and exemplified. Statistical as well as artificial intelligence methods are described. The efficiency of photovoltaic converters is assessed for any weather conditions. Weather modeling and forecasting of PV systems operation is written for researchers, engineers, physicists and students interested in PV systems design and utilization. “p>
Publisher: Springer Science & Business Media
ISBN: 1447146492
Category : Technology & Engineering
Languages : en
Pages : 364
Book Description
In the past decade, there has been a substantial increase of grid-feeding photovoltaic applications, thus raising the importance of solar electricity in the energy mix. This trend is expected to continue and may even increase. Apart from the high initial investment cost, the fluctuating nature of the solar resource raises particular insertion problems in electrical networks. Proper grid managing demands short- and long-time forecasting of solar power plant output. Weather modeling and forecasting of PV systems operation is focused on this issue. Models for predicting the state of the sky, nowcasting solar irradiance and forecasting solar irradiation are studied and exemplified. Statistical as well as artificial intelligence methods are described. The efficiency of photovoltaic converters is assessed for any weather conditions. Weather modeling and forecasting of PV systems operation is written for researchers, engineers, physicists and students interested in PV systems design and utilization. “p>
Numerical Weather and Climate Prediction
Author: Thomas Tomkins Warner
Publisher: Cambridge University Press
ISBN: 1139494317
Category : Science
Languages : en
Pages : 549
Book Description
This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics.
Publisher: Cambridge University Press
ISBN: 1139494317
Category : Science
Languages : en
Pages : 549
Book Description
This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics.
Interpretable Machine Learning
Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320
Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320
Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.