Artificial Intelligence and Operational Weather Forecasting PDF Download

Author: United States. National Weather Service. Regional Headquarters (Anchorage, Alaska)
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages :

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Author: Peter Michael Inness
Publisher: John Wiley & Sons
ISBN: 1118447638
Category : Science
Languages : en
Pages : 276

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Book Description
This book offers a complete primer, covering the end-to-end process of forecast production, and bringing together a description of all the relevant aspects together in a single volume; with plenty of explanation of some of the more complex issues and examples of current, state-of-the-art practices. Operational Weather Forecasting covers the whole process of forecast production, from understanding the nature of the forecasting problem, gathering the observational data with which to initialise and verify forecasts, designing and building a model (or models) to advance those initial conditions forwards in time and then interpreting the model output and putting it into a form which is relevant to customers of weather forecasts. Included is the generation of forecasts on the monthly-to-seasonal timescales, often excluded in text-books despite this type of forecasting having been undertaken for several years. This is a rapidly developing field, with a lot of variations in practices between different forecasting centres. Thus the authors have tried to be as generic as possible when describing aspects of numerical model design and formulation. Despite the reliance on NWP, the human forecaster still has a big part to play in producing weather forecasts and this is described, along with the issue of forecast verification – how forecast centres measure their own performance and improve upon it. Advanced undergraduates and postgraduate students will use this book to understand how the theory comes together in the day-to-day applications of weather forecast production. In addition, professional weather forecasting practitioners, professional users of weather forecasts and trainers will all find this new member of the RMetS Advancing Weather and Climate series a valuable tool. Provides an end-to-end description of the weather forecasting process Clearly structured and pitched at an accessible level, the book discusses the practical choices that operational forecasting centres have to make in terms of what numerical models they use and when they are run. Takes a very practical approach, using real life case-studies to contextualize information Discusses the latest advances in the area, including ensemble methods, monthly to seasonal range prediction and use of ‘nowcasting’ tools such as radar and satellite imagery Full colour throughout Written by a highly respected team of authors with experience in both academia and practice. Part of the RMetS book series ‘Advancing Weather and Climate’

Author: Gupta, Rajeev Kumar
Publisher: IGI Global
ISBN: 1668439832
Category : Computers
Languages : en
Pages : 277

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Book Description
Weather forecasting and climate behavioral analysis have traditionally been done using complicated physics models and accompanying atmospheric variables. However, the traditional approaches lack common tools, which can lead to incomplete information about the weather and climate conditions, in turn affecting the prediction accuracy rate. To address these problems, the advanced technological aspects through the spectrum of artificial intelligence of things (AIoT) models serve as a budding solution. Further study on artificial intelligence of things and how it can be utilized to improve weather forecasting and climatic behavioral analysis is crucial to appropriately employ the technology. Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis discusses practical applications of artificial intelligence of things for interpretation of weather patterns and how weather information can be used to make critical decisions about harvesting, aviation, etc. This book also considers artificial intelligence of things issues such as managing natural disasters that impact the lives of millions. Covering topics such as deep learning, remote sensing, and meteorological applications, this reference work is ideal for data scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Author: Elmar R. Reiter
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages : 49

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Author: Sachi Nandan Mohanty
Publisher:
ISBN: 9781032506180
Category : Artificial intelligence
Languages : en
Pages : 0

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Book Description
"Importance of forecasting is to deal with the uncertainty of the future. An accurate Forecasting should be timely available, accurate, reliable and compatible with existing database. Accurate projection of the future is highly demanding for supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earth quake prediction and many more. In this direction AI powered tools and techniques of forecasting plays a major role to improve the projection accuracy. AI powered forecasting software uses machine learning techniques to improve accuracy. The software can analyse the past data and can make better prediction about the future trends with higher accuracy and confidence that favours for making proper future planning and decision. Moreover, AI forecasting tools are better in a sense that it can gradually improve its accuracy. In other words, accurate forecasting requires more than just the fitting of models to historical data. Inside, readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And readers will develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts"--

Author: Robert Sharman
Publisher: Springer
ISBN: 331923630X
Category : Technology & Engineering
Languages : en
Pages : 529

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Book Description
Anyone who has experienced turbulence in flight knows that it is usually not pleasant, and may wonder why this is so difficult to avoid. The book includes papers by various aviation turbulence researchers and provides background into the nature and causes of atmospheric turbulence that affect aircraft motion, and contains surveys of the latest techniques for remote and in situ sensing and forecasting of the turbulence phenomenon. It provides updates on the state-of-the-art research since earlier studies in the 1960s on clear-air turbulence, explains recent new understanding into turbulence generation by thunderstorms, and summarizes future challenges in turbulence prediction and avoidance.

Author: Wang, John
Publisher: IGI Global
ISBN: 1591405599
Category : Computers
Languages : en
Pages : 1382

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Book Description
Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.

Author: Sue Ellen Haupt
Publisher: Springer Science & Business Media
ISBN: 1402091192
Category : Science
Languages : en
Pages : 418

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Book Description
How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 75

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Book Description
Unleash the power of weather prediction with Graphcore's cutting-edge AI technology. Move beyond unreliable forecasts and embrace hyper-accurate weather data that empowers individuals, businesses, and communities. Graphcore's AI-powered forecasts provide more than just rain or shine predictions. They offer granular insights into wind speed, humidity, precipitation intensity, and more, allowing you to make informed decisions for every aspect of your life. Businesses can optimize operations, minimize disruptions, and gain a competitive edge through strategic weather intelligence. Farmers can ensure maximum crop yields and manage resources effectively. Cities can build resilience and prepare for extreme weather events. Graphcore's technology extends beyond short-term forecasts, offering valuable insights into long-term trends and climate patterns. This empowers proactive measures to mitigate climate change and build a more sustainable future. Join the weather revolution with Graphcore and experience the transformative power of hyper-accurate weather predictions.

Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 81

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Book Description
Unlock the power of next-generation weather forecasting with Graphcore's cutting-edge technology. Our AI-powered solutions leverage the latest advancements in machine learning and the revolutionary Intelligence Processing Unit (IPU) to deliver unprecedented accuracy, speed, and granularity in weather predictions. Move beyond traditional forecasting methods limited by point-to-point analysis. Graphcore's technology empowers meteorologists to identify hidden relationships within weather data, leading to a more comprehensive understanding of atmospheric behavior. This holistic approach enables the creation of highly accurate forecasts, from days to weeks in advance, allowing businesses and individuals to make informed decisions and proactively prepare for weather events.