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English
American Geophysical Union
27 November 2023
Exploring how clouds influence radiation, circulation, and precipitation

Clouds are an influential and complex element of Earth's climate system. They evolve rapidly in time and exist over small spatial scales, but also affect global radiative balance and large-scale circulations. With more powerful models and extensive observations now at our disposal, the climate impact of clouds is receiving ever more research attention.

Clouds and Their Climatic Impacts: Radiation, Circulation, and Precipitation presents an overview of our current understanding on various types of clouds and cloud systems and their multifaceted role in the radiative budget, circulation patterns, and rainfall.

Volume highlights include:

Interactions of aerosol with both liquid and ice clouds Surface and atmospheric cloud radiative feedbacks and effects Arctic, extratropical, and tropical clouds Cloud-circulation coupling at global, meso, and micro scales Precipitation efficiency, phase, and measurements The role of machine learning in understanding clouds and climate

The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
Edited by:   , ,
Imprint:   American Geophysical Union
Country of Publication:   United States
Weight:   1.438kg
ISBN:   9781119700319
ISBN 10:   1119700310
Series:   Geophysical Monograph Series
Pages:   368
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
List of Contributors ix Preface xiii 1 Science of Cloud and Climate Science: An Analysis of the Literature Over the Past 50 Years 1 Sylvia C. Sullivan and Corinna Hoose Part I Clouds and Radiation 2 An Overview of Aerosol-Cloud Interactions 15 Hamish Gordon, Franziska Glassmeier, and Daniel McCoy 3 Ice Crystal Complexity and Link to the Cirrus Cloud Radiative Effect 47 Emma Järvinen, Bastiaan van Diedenhoven, Nathan Magee, Steven Neshyba, Martin Schnaiter, Guanglang Xu, Olivier Jourdan, David Delene, Fritz Waitz, Simone Lolli, and Seiji Kato 4 Cloud-Radiation Interactions and Cloud-Climate Feedbacks From an Active-Sensor Satellite Perspective 87 Grégory V. Cesana, Andrew S. Ackerman, Thibault Vaillant de Guélis, and David S. Henderson Part II Cloud Types 5 A Review of the Factors Influencing Arctic Mixed-Phase Clouds: Progress and Outlook 105 Ivy Tan, Georgia Sotiropoulou, Patrick C. Taylor, Lauren Zamora, and Manfred Wendisch 6 Extratropical Cloud Feedbacks 133 Daniel T. McCoy, Michelle E. Frazer, Johannes Mülmenstädt, Ivy Tan, Christopher R. Terai, and Mark D. Zelinka 7 Tropical Marine Low Clouds: Feedbacks to Warming and on Climate Variability 159 Timothy A. Myers, Raphaela Vogel, Florent Brient, Hossein Parishani, and Ryan C. Scott 8 Mechanisms for the Self-Organization of Tropical Deep Convection 179 Jan O. Haerter and Caroline Muller 9 An Overview of Mesoscale Convective Systems: Global Climatology, Satellite Observations, and Modeling Strategies 195 Sudip Chakraborty, Sylvia C. Sullivan, and Zhe Feng Part III Clouds and Circulation 10 Interactions Between the Tropical Atmospheric Overturning Circulation and Clouds in Present and Future Climates 225 Kathleen A. Schiro and Hui Su 11 Clouds and Radiatively Induced Circulations 239 Tra Dinh, Blaž Gasparini, and Gilles Bellon 12 The Small-Scale Mixing of Clouds with Their Environment: Impacts on Micro- and Macroscale Cloud Properties 255 Fabian Hoffmann Part IV Clouds and Precipitation 13 Precipitation Efficiency and Climate Sensitivity 273 Nicholas J. Lutsko, Steven C. Sherwood, and Ming Zhao 14 Observed Scaling of Precipitation Extremes With Surface Temperature and Convective Available Potential Energy 287 Wenhao Dong and Yanluan Lin 15 Satellite Precipitation Measurements: What Have We Learnt About Cloud-Precipitation Processes From Space? 303 Maki Kikuchi, Scott A. Braun, Kentaroh Suzuki, Guosheng Liu, and Alessandro Battaglia Part V Outlook 16 Machine Learning for Clouds and Climate 327 Tom Beucler, Imme Ebert-Uphoff, Stephan Rasp, Michael Pritchard, and Pierre Gentine Index 347

Sylvia C. Sullivan, University of Arizona, USA, and Karlsruhe Institute of Technology, Germany. Corinna Hoose, Karlsruhe Institute of Technology, Germany.

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