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Produktbild: Weather Prediction: What Everyone Needs to Know®

Weather Prediction: What Everyone Needs to Know®

Aus der Reihe WHAT EVERYONE NEEDS TO KNOW

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.12.2023

Verlag

Oxford Academic

Seitenzahl

304

Maße (L/B/H)

21/14,2/2 cm

Gewicht

371 g

Sprache

Englisch

ISBN

978-0-19-765212-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.12.2023

Verlag

Oxford Academic

Seitenzahl

304

Maße (L/B/H)

21/14,2/2 cm

Gewicht

371 g

Sprache

Englisch

ISBN

978-0-19-765212-1

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Weather Prediction: What Everyone Needs to Know®

    • Preface

    • 1 Weather And Climate

    • 1.1 What Is The Key Difference Between Weather And Climate?

    • 1.2 Do Weather And Climate Vary Spatially And Temporally?

    • 1.3 Is There A Clear Separation Between Weather And Climate?

    • 1.4 Is Weather Affected By All (Small-And-Fast And Large-And-Slow) Phenomena?

    • 1.5 Which Coordinate System Is Used To Study Atmospheric And Oceanic Motions?

    • 1.6 What Are The Key Weather Variables?

    • 1.7 Why Does Weather Change?

    • 1.8 How Are Motions In The Atmosphere Generated?

    • 1.9 Key Points Discussed In Chapter One 'Weather And Climate'

    • 2 The Earth System

    • 2.1 What Does 'Earth System' Mean In Numerical Weather Prediction?

    • 2.2 What Is An Accurate And Skilful Forecast?

    • 2.3 What Are The Key Building Blocks Of An Earth System Model?

    • 2.4 What Are The Key Processes Simulated By An Earth System Model?

    • 2.5 How Is Heat Transported And Exchanged In The Earth System?

    • 2.6 Where Does The Energy That Drives The Earth Climate Come From?

    • 2.7 What Are The Key Similarities And Differences Of The Atmosphere And The Ocean?

    • 2.8 Key Points Discussed In Chapter Two 'The Earth-System'

    • 3 Observing The Earth System

    • 3.1 Why Do We Need Observations?

    • 3.2 What Are The Key Observation Types?

    • 3.3 Are Observations Affected By Errors?

    • 3.4 How Do Observation Information And Errors Propagate?

    • 3.5 Did Covid Affect Weather Forecast Quality?

    • 3.6 How Do We Observe The State Of The Atmosphere Using Satellites?

    • 3.7 Do We Have Enough Observations To Determine The State Of The Earth-System?

    • 3.8 Is It Important To Observe The Whole Atmosphere?

    • 3.9 Key Points Discussed In Chapter Three 'Observing The Earth System'

    • 4 Modelling The Earth System

    • 4.1 From Where Should We Start To Model The Earth System?

    • 4.2 What Are The State Variables Of A System?

    • 4.3 How Many Variables Define The State Of The Whole Earth System?

    • 4.4 What Is An Equation?

    • 4.5 What Are Analytical And Numerical Solutions Of An Equation?

    • 4.6 How Do We Deduce The Equations Used To Predict The Weather And The Climate?

    • 4.7 What Is An Example Of A Set Of Equations That Can Predict The Weather?

    • 4.8 How Do We Solve The Primitive Equations?

    • 4.9 What Is The Difference Between A Prognostic And A Diagnostic Equation?

    • 4.10 Can We Use Simple Models To Understand The Behaviour Of Complex Systems?

    • 4.11 Key Points Discussed In Chapter Four 'Modelling The Earth System'

    • 5 Numerical Weather Prediction

    • 5.1 How Do We Solve Numerically The Primitive Equations?

    • 5.2 What Are The Key Steps Involved In Operational Weather Prediction?

    • 5.3 How Do We Determine The Initial Conditions?

    • 5.4 What Is Data Assimilation?

    • 5.5 Do We Need A Super-Computer For Numerical Weather Prediction?

    • 5.6 Do We Need An Earth-System Model To Predict The Weather?

    • 5.7 What Are The Key Differences Between A Global And A Limited-Area Model?

    • 5.8 How Can We Assess Whether A Model Is Realistic And Accurate?

    • 5.9 How Much Data Is Involved In Weather Prediction?

    • 5.10 Key Points Discussed In Chapter Five 'Numerical Weather Prediction'

    • 6 Chaos And Weather Prediction

    • 6.1 What Is A Chaotic System?

    • 6.2 What Is The Lorenz' 3-Dimensional Model?

    • 6.3 What Is The 'Butterfly Effect'?

    • 6.4 What Are The Sources Of Forecast Error?

    • 6.5 How Can We Reduce Initial Condition Uncertainties?

    • 6.6 How Can We Reduce Model Uncertainties?

    • 6.7 How Do We Measure Forecast Errors?

    • 6.8 What Is An Ensemble?

    • 6.9 Are Ensemble Forecasts More Valuable Than Single Ones?

    • 6.10 Key Points Discussed In Chapter Six 'Chaos And Weather Prediction'

    • 7 Dealing With Uncertainties And Probabilistic Forecasting

    • 7.1 How Do We Build An 'Accurate And Reliable' Ensemble?

    • 7.2 What Is A Probabilistic Forecast?

    • 7.3 How Can We Communicate Forecast Uncertainty?

    • 7.4 How Can We Take Decisions Using Probabilistic Forecasts?

    • 7.5 What Is A Scenario Forecast?

    • 7.6 What Is A Cluster Analysis?

    • 7.7 How Do We Measure The Accuracy And Reliability Of A Probabilistic Forecast?

    • 7.8 What Are Reforecasts And Reanalyses?

    • 7.9 Why Are Reanalyses And Reforecasts Useful?

    • 7.10 Key Points Discussed In Chapter Seven 'Dealing With Uncertainties And Probabilistic Forecasting'

    • 8 The Forecast Skill Horizon

    • 8.1 Are Weather Forecasts More Accurate And Reliable Today Than In The Past?

    • 8.2 How Did We Succeed To Improve The Accuracy And Reliability Of Weather Forecasts?

    • 8.3 Can We Visualize In A Single Diagram Our Prediction Capabilities?

    • 8.4 Why Does The Forecast Skill Depend On The Phenomena We Are Trying To Predict?

    • 8.5 Are Extreme Events More Difficult To Predict Than The 'Normal' Weather?

    • 8.6 What Is The Minimum Spatial Scale That A Model Can Simulate Realistically?

    • 8.7 What Is The Minimum Spatial Scale Properly Resolved In Data Assimilation?

    • 8.8 How Can We Further Extend Predictability?

    • 8.9 Key Points Discussed In Chapter Eight 'The Forecast Skill Horizon'

    • 9 Climate Change And Numerical Weather Prediction

    • 9.1 Why Should We Talk About Climate Change In This Book?

    • 9.2 What Is The Greenhouse Effect?

    • 9.3 What Is The State Of The Climate?

    • 9.4 How Much Greenhouse Gases Do We Emit In The Atmosphere?

    • 9.5 Is There A Link Between Greenhouse Gas Emissions And Average Global Warming?

    • 9.6 Are We Responsible For Climate Change?

    • 9.7 What Are The Key Sources Of Uncertainty Affecting Climate Predictions?

    • 9.8 What Do We Mean With 'Initial Value' And 'Boundary Condition' Problems?

    • 9.9 Has Climate Change Impacted Weather Prediction?

    • 9.10 Has Numerical Weather Prediction Helped Understanding Climate Change?

    • 9.11 Which Aspects Of The Future Climate Can We Predict?

    • 9.12 Key Points Discussed In Chapter Nine 'Climate Change And Numerical Weather Prediction'

    • 10 A Look Into The Future

    • 10.1 What Are The Focus Areas Of Research In Numerical Weather Prediction?

    • 10.2 What Is An Earth Digital Twin?

    • 10.3 Will We Be Able To Continue To Improve The Quality Of Weather Forecasts?

    • 10.4 Will We Ever Be Able To Issue A 'Perfect' Forecast?

    • 10.5 In 2050, Will We Be Able To Predict The Local Weather Of The Next Season?

    • 10.6 Can Artificial Intelligence Lead To Improve Predictions?

    • 10.7 What Is An 'Environmental Prediction Model'?

    • 10.8 Is Weather Prediction Evolving Into Environmental Prediction?

    • 10.9 As Global Models Keep Increasing Resolution, Will We Still Use Limited-Area Model?

    • 10.10 Would A Future Operational Suite Look Very Different From Today's One?

    • 10.11 Key Points Discussed In Section 10 'A Look Into The Future'

    • Essential Glossary

    • Further Reading

    • Useful Links

    • The Author