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Climate Modelling

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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 8: Downscaling of Climate Information
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Chapter title
Downscaling of Climate Information
Chapter number 8
Book title
Climate Modelling
Published by
Palgrave Macmillan, Cham, January 2018
DOI 10.1007/978-3-319-65058-6_8
Book ISBNs
978-3-31-965057-9, 978-3-31-965058-6

L. O. Mearns, M. Bukovsky, S. C. Pryor, V. Magaña

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 47%
Student > Ph. D. Student 3 20%
Professor 1 7%
Unknown 4 27%
Readers by discipline Count As %
Earth and Planetary Sciences 3 20%
Agricultural and Biological Sciences 2 13%
Environmental Science 1 7%
Physics and Astronomy 1 7%
Computer Science 1 7%
Other 2 13%
Unknown 5 33%