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Invisible in the Storm : The Role of Mathematics in Understanding Weather

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Title: Invisible in the Storm : The Role of Mathematics in Understanding Weather
Description: An accessible book that examines the mathematics of weather predictionInvisible in the Storm is the first book to recount the history, personalities, and ideas behind one of the greatest scientific successes of modern times—the use of mathematics in weather prediction. Although humans have tried to forecast weather for millennia, mathematical principles were used in meteorology only after the turn of the twentieth century. From the first proposal for using mathematics to predict weather, to the supercomputers that now process meteorological information gathered from satellites and weather stations, Ian Roulstone and John Norbury narrate the groundbreaking evolution of modern forecasting.The authors begin with Vilhelm Bjerknes, a Norwegian physicist and meteorologist who in 1904 came up with a method now known as numerical weather prediction. Although his proposed calculations could not be implemented without computers, his early attempts, along with those of Lewis Fry Richardson, marked a turning point in atmospheric science. Roulstone and Norbury describe the discovery of chaos theory's butterfly effect, in which tiny variations in initial conditions produce large variations in the long-term behavior of a system—dashing the hopes of perfect predictability for weather patterns. They explore how weather forecasters today formulate their ideas through state-of-the-art mathematics, taking into account limitations to predictability. Millions of variables—known, unknown, and approximate—as well as billions of calculations, are involved in every forecast, producing informative and fascinating modern computer simulations of the Earth system.Accessible and timely, Invisible in the Storm explains the crucial role of mathematics in understanding the ever-changing weather.Some images inside the book are unavailable due to digital copyright restrictions.
Authors: Ian Roulstone, John Norbury
Resource Type: eBook.
Subjects: Meteorology--Data processing, Climatology--Data processing, Meteorology--Mathematical models, Climatology--Mathematical models, SCIENCE / Earth Sciences / Meteorology & Climatolo, MATHEMATICS / Applied, NATURE / Weather, MATHEMATICS / Differential Equations, MATHEMATICS / Calculus, MATHEMATICS / History & Philosophy
Categories: SCIENCE / Earth Sciences / Meteorology & Climatology, MATHEMATICS / Applied, MATHEMATICS / Calculus, MATHEMATICS / Differential Equations / General, MATHEMATICS / History & Philosophy, NATURE / Weather
Database: eBook Collection (EBSCOhost)
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Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 509747
RelevancyScore: 1051
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1050.81640625
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  Data: An accessible book that examines the mathematics of weather predictionInvisible in the Storm is the first book to recount the history, personalities, and ideas behind one of the greatest scientific successes of modern times—the use of mathematics in weather prediction. Although humans have tried to forecast weather for millennia, mathematical principles were used in meteorology only after the turn of the twentieth century. From the first proposal for using mathematics to predict weather, to the supercomputers that now process meteorological information gathered from satellites and weather stations, Ian Roulstone and John Norbury narrate the groundbreaking evolution of modern forecasting.The authors begin with Vilhelm Bjerknes, a Norwegian physicist and meteorologist who in 1904 came up with a method now known as numerical weather prediction. Although his proposed calculations could not be implemented without computers, his early attempts, along with those of Lewis Fry Richardson, marked a turning point in atmospheric science. Roulstone and Norbury describe the discovery of chaos theory's butterfly effect, in which tiny variations in initial conditions produce large variations in the long-term behavior of a system—dashing the hopes of perfect predictability for weather patterns. They explore how weather forecasters today formulate their ideas through state-of-the-art mathematics, taking into account limitations to predictability. Millions of variables—known, unknown, and approximate—as well as billions of calculations, are involved in every forecast, producing informative and fascinating modern computer simulations of the Earth system.Accessible and timely, Invisible in the Storm explains the crucial role of mathematics in understanding the ever-changing weather.Some images inside the book are unavailable due to digital copyright restrictions.
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 551.60151
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Meteorology--Data processing
        Type: general
      – SubjectFull: Climatology--Data processing
        Type: general
      – SubjectFull: Meteorology--Mathematical models
        Type: general
      – SubjectFull: Climatology--Mathematical models
        Type: general
      – SubjectFull: SCIENCE / Earth Sciences / Meteorology & Climatolo
        Type: general
      – SubjectFull: MATHEMATICS / Applied
        Type: general
      – SubjectFull: NATURE / Weather
        Type: general
      – SubjectFull: MATHEMATICS / Differential Equations
        Type: general
      – SubjectFull: MATHEMATICS / Calculus
        Type: general
      – SubjectFull: MATHEMATICS / History & Philosophy
        Type: general
    Titles:
      – TitleFull: Invisible in the Storm : The Role of Mathematics in Understanding Weather
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ian Roulstone
      – PersonEntity:
          Name:
            NameFull: John Norbury
      – PersonEntity:
          Name:
            NameFull: Ian Roulstone
      – PersonEntity:
          Name:
            NameFull: John Norbury
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2013
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780691152721
            – Type: isbn-electronic
              Value: 9781400846221
            – Type: isbn-electronic
              Value: 9781400847662
          Titles:
            – TitleFull: Invisible in the Storm : The Role of Mathematics in Understanding Weather
              Type: main
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