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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 2: The Scientific Consensus on Climate Change: How Do We Know We’re Not Wrong?
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15 tweeters
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1 Wikipedia page

Citations

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Chapter title
The Scientific Consensus on Climate Change: How Do We Know We’re Not Wrong?
Chapter number 2
Book title
Climate Modelling
Published by
Palgrave Macmillan, Cham, January 2018
DOI 10.1007/978-3-319-65058-6_2
Book ISBNs
978-3-31-965057-9, 978-3-31-965058-6
Authors

Naomi Oreskes, Oreskes, Naomi

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 3%
Canada 3 <1%
Australia 2 <1%
Germany 2 <1%
Finland 2 <1%
United Kingdom 2 <1%
Brazil 1 <1%
Switzerland 1 <1%
Unknown 309 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 71 21%
Student > Ph. D. Student 57 17%
Student > Bachelor 50 15%
Researcher 38 11%
Student > Doctoral Student 13 4%
Other 52 16%
Unknown 51 15%
Readers by discipline Count As %
Social Sciences 58 17%
Environmental Science 44 13%
Agricultural and Biological Sciences 38 11%
Earth and Planetary Sciences 20 6%
Engineering 13 4%
Other 90 27%
Unknown 69 21%