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Verlag: Oxford University Press
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Sprache: Englisch
Verlag: Oxford University Press Inc, 2023
ISBN 10: 0197652123 ISBN 13: 9780197652121
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Verlag: Oxford University Press
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Sprache: Englisch
Verlag: Oxford University Press Inc, New York, 2023
ISBN 10: 0197652123 ISBN 13: 9780197652121
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Paperback. Zustand: new. Paperback. Weather has always affected human life. Understanding how weather events form and predicting what kind of weather is coming can help enormously to manage weather-risk and will become even more important as we shift towards strongly weather-dependent energy sources. Some big steps forward in numerical weather prediction have been made in the past 40 years, thanks to advances in four key areas: the way we observe the Earth, thescientific understanding of the phenomena, advances in high-performance computing (that have allowed the use of increasingly complex models), and improved modelling techniques. Today we are capable of predicting extremeevents such as hurricanes and extra-tropical windstorms very accurately up to 7 to 10 days ahead. We can predict the most likely path and intensity of storms before they hit a community, estimate the confidence level of the forecast, and can give very valuable indications of their probable impact. Larger-scale phenomena that affect entire countries, such as heat or cold waves, periods with extremely high or low temperatures lasting for days, can be forecast up to 2-to-3 weeks before the eventsoccur. Phenomena that affect a big portion of the oceans or of a continent and that evolve slowly, such as the warming of the sea-surface temperature in the Pacific Ocean when an El Nino event occurs,can be predicted months ahead, and in some cases even longer. Weather Prediction: What Everyone Needs to Know discusses some of the key topics linked to weather prediction and explains how we got here. It discusses questions that are often asked, such as: how are weather forecasts generated? How complex are the models used in numerical weather prediction, and how to solve them? Was this event predictable? Why was this forecast wrong? How did youmanage to predict this hurricane path 10 days before the event? Will weather forecast continue to improve, or is there a predictability limit? Weather Prediction: What Everyone Needs to Know(R) introduces readers to the science behind numerical weather prediction and considers its increasing importance. Like the other books in the What Everyone Needs to Know(R) series, this book is intended for a wide audience, including policy makers, environmentalists, students, scientists in other fields, and the general public interested in weather prediction. Weather Prediction takes readers ona fascinating journey into numerical weather prediction, an activity that has been helping humans to live better. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Oxford University Press Inc, 2023
ISBN 10: 0197652123 ISBN 13: 9780197652121
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Sprache: Englisch
Verlag: Oxford University Press OUP, 2023
ISBN 10: 0197652123 ISBN 13: 9780197652121
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Sprache: Englisch
Verlag: Oxford University Press Inc, 2023
ISBN 10: 0197652123 ISBN 13: 9780197652121
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Sprache: Englisch
Verlag: Oxford University Press Inc, New York, 2023
ISBN 10: 0197652123 ISBN 13: 9780197652121
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In den WarenkorbPaperback. Zustand: new. Paperback. Weather has always affected human life. Understanding how weather events form and predicting what kind of weather is coming can help enormously to manage weather-risk and will become even more important as we shift towards strongly weather-dependent energy sources.Some big steps forward in numerical weather prediction have been made in the past 40 years, thanks to advances in four key areas: the way we observe the Earth, thescientific understanding of the phenomena, advances in high-performance computing (that have allowed the use of increasingly complex models), and improved modelling techniques. Today we are capable of predicting extremeevents such as hurricanes and extra-tropical windstorms very accurately up to 7 to 10 days ahead. We can predict the most likely path and intensity of storms before they hit a community, estimate the confidence level of the forecast, and can give very valuable indications of their probable impact. Larger-scale phenomena that affect entire countries, such as heat or cold waves, periods with extremely high or low temperatures lasting for days, can be forecast up to 2-to-3 weeks before the eventsoccur. Phenomena that affect a big portion of the oceans or of a continent and that evolve slowly, such as the warming of the sea-surface temperature in the Pacific Ocean when an El Nino event occurs,can be predicted months ahead, and in some cases even longer.Weather Prediction: What Everyone Needs to Know discusses some of the key topics linked to weather prediction and explains how we got here. It discusses questions that are often asked, such as: how are weather forecasts generated? How complex are the models used in numerical weather prediction, and how to solve them? Was this event predictable? Why was this forecast wrong? How did youmanage to predict this hurricane path 10 days before the event? Will weather forecast continue to improve, or is there a predictability limit? Weather Prediction: What Everyone Needs to Know(R) introduces readers to the science behind numerical weather prediction and considers its increasing importance. Like the other books in the What Everyone Needs to Know(R) series, this book is intended for a wide audience, including policy makers, environmentalists, students, scientists in other fields, and the general public interested in weather prediction. Weather Prediction takes readers ona fascinating journey into numerical weather prediction, an activity that has been helping humans to live better. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Sprache: Englisch
Verlag: Oxford University Press Inc, New York, 2023
ISBN 10: 0197652123 ISBN 13: 9780197652121
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Paperback. Zustand: new. Paperback. Weather has always affected human life. Understanding how weather events form and predicting what kind of weather is coming can help enormously to manage weather-risk and will become even more important as we shift towards strongly weather-dependent energy sources.Some big steps forward in numerical weather prediction have been made in the past 40 years, thanks to advances in four key areas: the way we observe the Earth, thescientific understanding of the phenomena, advances in high-performance computing (that have allowed the use of increasingly complex models), and improved modelling techniques. Today we are capable of predicting extremeevents such as hurricanes and extra-tropical windstorms very accurately up to 7 to 10 days ahead. We can predict the most likely path and intensity of storms before they hit a community, estimate the confidence level of the forecast, and can give very valuable indications of their probable impact. Larger-scale phenomena that affect entire countries, such as heat or cold waves, periods with extremely high or low temperatures lasting for days, can be forecast up to 2-to-3 weeks before the eventsoccur. Phenomena that affect a big portion of the oceans or of a continent and that evolve slowly, such as the warming of the sea-surface temperature in the Pacific Ocean when an El Nino event occurs,can be predicted months ahead, and in some cases even longer.Weather Prediction: What Everyone Needs to Know discusses some of the key topics linked to weather prediction and explains how we got here. It discusses questions that are often asked, such as: how are weather forecasts generated? How complex are the models used in numerical weather prediction, and how to solve them? Was this event predictable? Why was this forecast wrong? How did youmanage to predict this hurricane path 10 days before the event? Will weather forecast continue to improve, or is there a predictability limit? Weather Prediction: What Everyone Needs to Know(R) introduces readers to the science behind numerical weather prediction and considers its increasing importance. Like the other books in the What Everyone Needs to Know(R) series, this book is intended for a wide audience, including policy makers, environmentalists, students, scientists in other fields, and the general public interested in weather prediction. Weather Prediction takes readers ona fascinating journey into numerical weather prediction, an activity that has been helping humans to live better. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Sprache: Englisch
Verlag: Oxford University Press Inc, 2023
ISBN 10: 0197652131 ISBN 13: 9780197652138
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
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