Compound Climate Extremes in the Present and Future Climates: Machine Learning, Statistical Methods and Dynamical Modelling

99.3K

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89

authors

16

articles

Compound Climate Extremes in the Present and Future Climates: Machine Learning, Statistical Methods and Dynamical Modelling

99.3K

views

89

authors

16

articles

Editorial

19 November 2021

Editorial: Compound Climate Extremes in the Present and Future Climates: Machine Learning, Statistical Methods and Dynamical Modelling

Wei Zhang

,

Hiroyuki Murakami

,

Abdou Khouakhi

and

Ming Luo

3,009 views

4 citations

Editors

4

Utah State University

Cranfield University

Sun Yat-sen University

HIROYUKI MURAKAMI

University Corporation for Atmospheric Research (UCAR)

Impact

About

Compound extremes, referred to as simultaneous, concurrent, or coincident extremes, may lead to larger impacts to human society and the environment than individual extremes alone. There are a wide range of compound events that occur on a variety of spatial and temporal scales. Some typical examples of compounding extremes include drought coupled with heat waves, coastal flooding coupled with wind hazards, sea level rise and storm surge, and tropical cyclones followed by heat waves. Currently, we are yet to fully understand all types of compound extremes, the dynamical and physical processes associated with the extremes, the framework and the methods to analyse the extremes, and the risk of the extremes in the present and future climates.

The goals of this Research Topic are to:
• Advance knowledge about the processes and dynamical linkage associated with different types of compounding extremes;
• Showcase the development of new statistical methods and machine learning techniques for efficiently examining the extremes;
• Quantify the potential risks of compound extremes in the present and future climates.

Considering these goals, this Research Topic welcomes manuscripts addressing the following topics:

• Processes responsible for different types of compound extremes (e.g., drought/heat stress and tropical cyclones/heat waves);
• Statistical models and machine learning technology for processing compounding extremes;
• Quantify the risk of compounding extremes in the present and future climates using the projection experiments of climate models.

Compound extremes, referred to as simultaneous, concurrent, or coincident extremes, may lead to larger impacts to human society and the environment than individual extremes alone. There are a wide range of compound events that occur on a variety of spatial and temporal scales. Some typical examples of compounding extremes include drought coupled with heat waves, coastal flooding coupled with wind hazards, sea level rise and storm surge, and tropical cyclones followed by heat waves. Currently, we are yet to fully understand all types of compound extremes, the dynamical and physical processes associated with the extremes, the framework and the methods to analyse the extremes, and the risk of the extremes in the present and future climates.

The goals of this Research Topic are to:
• Advance knowledge about the processes and dynamical linkage associated with different types of compounding extremes;
• Showcase the development of new statistical methods and machine learning techniques for efficiently examining the extremes;
• Quantify the potential risks of compound extremes in the present and future climates.

Considering these goals, this Research Topic welcomes manuscripts addressing the following topics:

• Processes responsible for different types of compound extremes (e.g., drought/heat stress and tropical cyclones/heat waves);
• Statistical models and machine learning technology for processing compounding extremes;
• Quantify the risk of compounding extremes in the present and future climates using the projection experiments of climate models.

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Editors

Utah State University

Cranfield University

Sun Yat-sen University

HIROYUKI MURAKAMI

University Corporation for Atmospheric Research (UCAR)

Impact

99,316 Total views

74,704 Article views

19,498 Article downloads

5,114 Topic views

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Frontiers in Earth Science

Interdisciplinary Climate Studies, Atmospheric Science, Geohazards and Georisks, Environmental Informatics and Remote Sensing

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Frontiers in Environmental Science

Interdisciplinary Climate Studies, Environmental Informatics and Remote Sensing, Atmospheric Science

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Frontiers in Ecology and Evolution

Interdisciplinary Climate Studies, Environmental Informatics and Remote Sensing

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Frontiers in Physics

Atmospheric Science

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Frontiers in Marine Science

Environmental Informatics and Remote Sensing

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Frontiers in ICT

Environmental Informatics and Remote Sensing

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Frontiers in Applied Mathematics and Statistics

Environmental Informatics and Remote Sensing

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