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Climate Modelling

Overview of attention for book
Cover of 'Climate Modelling'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Scientific Consensus on Climate Change: How Do We Know We’re Not Wrong?
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    Chapter 3 Satellite Data and Climate Models
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    Chapter 4 Fact Sheet for “Consistency of Modeled and Observed Temperature Trends in the Tropical Troposphere”
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    Chapter 5 Consistency of Modeled and Observed Temperature Trends in the Tropical Troposphere
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    Chapter 6 The Role of “Complex” Empiricism in the Debates About Satellite Data and Climate Models
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    Chapter 7 Reconciling Climate Model/Data Discrepancies: The Case of the ‘Trees That Didn’t Bark’
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    Chapter 8 Downscaling of Climate Information
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    Chapter 9 The Significance of Robust Climate Projections
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    Chapter 10 Building Trust, Removing Doubt? Robustness Analysis and Climate Modeling
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    Chapter 11 Climate Model Confirmation: From Philosophy to Predicting Climate in the Real World
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    Chapter 12 Uncertainty in Climate Science and Climate Policy
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    Chapter 13 Communicating Uncertainty to Policymakers: The Ineliminable Role of Values
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    Chapter 14 Modeling Climate Policies: The Social Cost of Carbon and Uncertainties in Climate Predictions
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    Chapter 15 Modeling Mitigation and Adaptation Policies to Predict Their Effectiveness: The Limits of Randomized Controlled Trials
Attention for Chapter 9: The Significance of Robust Climate Projections
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Chapter title
The Significance of Robust Climate Projections
Chapter number 9
Book title
Climate Modelling
Published by
Palgrave Macmillan, Cham, January 2018
DOI 10.1007/978-3-319-65058-6_9
Book ISBNs
978-3-31-965057-9, 978-3-31-965058-6
Authors

Wendy S. Parker

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Researcher 2 29%
Student > Bachelor 1 14%
Student > Doctoral Student 1 14%
Readers by discipline Count As %
Philosophy 2 29%
Environmental Science 1 14%
Earth and Planetary Sciences 1 14%
Chemistry 1 14%
Unknown 2 29%