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Shallow Clouds, Water Vapor, Circulation, and Climate Sensitivity

Overview of attention for book
Cover of 'Shallow Clouds, Water Vapor, Circulation, and Climate Sensitivity'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Convective Self-Aggregation in Numerical Simulations: A Review
  3. Altmetric Badge
    Chapter 2 Observing Convective Aggregation
  4. Altmetric Badge
    Chapter 3 An Observational View of Relationships Between Moisture Aggregation, Cloud, and Radiative Heating Profiles
  5. Altmetric Badge
    Chapter 4 Correction to: An Observational View of Relationships Between Moisture Aggregation, Cloud, and Radiative Heating Profiles
  6. Altmetric Badge
    Chapter 5 Implications of Warm Rain in Shallow Cumulus and Congestus Clouds for Large-Scale Circulations
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    Chapter 6 A Survey of Precipitation-Induced Atmospheric Cold Pools over Oceans and Their Interactions with the Larger-Scale Environment
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    Chapter 7 Low-Cloud Feedbacks from Cloud-Controlling Factors: A Review
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    Chapter 8 Mechanisms and Model Diversity of Trade-Wind Shallow Cumulus Cloud Feedbacks: A Review
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    Chapter 9 Importance Profiles for Water Vapor
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    Chapter 10 Structure and Dynamical Influence of Water Vapor in the Lower Tropical Troposphere
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    Chapter 11 The Representation of Tropospheric Water Vapor Over Low-Latitude Oceans in (Re-)analysis: Errors, Impacts, and the Ability to Exploit Current and Prospective Observations
  13. Altmetric Badge
    Chapter 12 Airborne Lidar Observations of Water Vapor Variability in Tropical Shallow Convective Environment
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    Chapter 13 Emerging Technologies and Synergies for Airborne and Space-Based Measurements of Water Vapor Profiles
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    Chapter 14 Observational Constraints on Cloud Feedbacks: The Role of Active Satellite Sensors
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    Chapter 15 Shallow Circulations: Relevance and Strategies for Satellite Observation
  17. Altmetric Badge
    Chapter 16 EUREC 4 A: A Field Campaign to Elucidate the Couplings Between Clouds, Convection and Circulation
Attention for Chapter 8: Mechanisms and Model Diversity of Trade-Wind Shallow Cumulus Cloud Feedbacks: A Review
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
2 Mendeley
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Chapter title
Mechanisms and Model Diversity of Trade-Wind Shallow Cumulus Cloud Feedbacks: A Review
Chapter number 8
Book title
Shallow Clouds, Water Vapor, Circulation, and Climate Sensitivity
Published in
ADS, January 2017
DOI 10.1007/978-3-319-77273-8_8
Book ISBNs
978-3-31-977272-1, 978-3-31-977273-8
Authors

Jessica Vial, Sandrine Bony, Bjorn Stevens, Raphaela Vogel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Environmental Science 1 50%
Earth and Planetary Sciences 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 March 2019.
All research outputs
#3,845,801
of 23,098,660 outputs
Outputs from ADS
#3,065
of 37,500 outputs
Outputs of similar age
#76,611
of 421,638 outputs
Outputs of similar age from ADS
#84
of 1,893 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,500 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,638 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 1,893 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.