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Climate Extremes and Their Implications for Impact and Risk Assessment

Climate Extremes and Their Implications for Impact and Risk Assessment
Author: Jana Sillmann
Publisher:
Total Pages: 378
Release: 2019-11
Genre:
ISBN: 0128148950

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Climate extremes often imply significant impacts on human and natural systems, and these extreme events are anticipated to be among the potentially most harmful consequences of a changing climate. However, while extreme event impacts are increasingly recognized, methodologies to address such impacts and the degree of our understanding and prediction capabilities vary widely among different sectors and disciplines. Moreover, traditional climate extreme indices and large-scale multi-model intercomparisons that are used for future projections of extreme events and associated impacts often fall short in capturing the full complexity of impact systems. Climate Extremes and Their Implications for Impact and Risk Assessment describes challenges, opportunities and methodologies for the analysis of the impacts of climate extremes across various sectors to support their impact and risk assessment. It thereby also facilitates cross-sectoral and cross-disciplinary discussions and exchange among climate and impact scientists. The sectors covered include agriculture, terrestrial ecosystems, human health, transport, conflict, and more broadly covering the human-environment nexus. The book concludes with an outlook on the need for more transdisciplinary work and international collaboration between scientists and practitioners to address emergent risks and extreme events towards risk reduction and strengthened societal resilience. Provides an overview about past, present and future changes in climate and weather extremes and how to connect that knowledge to impact and risk assessment under global warming Presents different approaches to assess societal-relevant impacts and risk of climate and weather extremes, including compound events, and the complexity of risk cascades and the interconnectedness of societal risk Features applications across a diversity of sectors, including agriculture, health, ecosystem services and urban transport


Machine Learning and Data Mining Approaches to Climate Science

Machine Learning and Data Mining Approaches to Climate Science
Author: Valliappa Lakshmanan
Publisher: Springer
Total Pages: 243
Release: 2015-06-30
Genre: Science
ISBN: 3319172204

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This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.


Demystifying Climate Models

Demystifying Climate Models
Author: Andrew Gettelman
Publisher: Springer
Total Pages: 282
Release: 2016-04-09
Genre: Technology & Engineering
ISBN: 3662489597

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This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models. Case studies of how climate model output has been used and how it might be used in the future are provided. The ultimate goal of this book is to promote a better understanding of the structure and uncertainties of climate models among users, including scientists, engineers and policymakers.


Climate Modeling for Scientists and Engineers

Climate Modeling for Scientists and Engineers
Author: John B. Drake
Publisher: SIAM
Total Pages: 169
Release: 2014-01-01
Genre: Mathematics
ISBN: 1611973546

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Climate modeling and simulation teach us about past, present, and future conditions of life on earth and help us understand observations about the changing atmosphere and ocean and terrestrial ecology. Focusing on high-end modeling and simulation of earth's climate, Climate Modeling for Scientists and Engineers presents observations about the general circulations of the earth and the partial differential equations used to model the dynamics of weather and climate, covers numerical methods for geophysical flows in more detail than many other texts, discusses parallel algorithms and the role of high-performance computing used in the simulation of weather and climate, and provides supplemental lectures and MATLAB® exercises on an associated Web page.


Cultures of Prediction in Atmospheric and Climate Science

Cultures of Prediction in Atmospheric and Climate Science
Author: Matthias Heymann
Publisher: Routledge
Total Pages: 339
Release: 2017-06-26
Genre: Computers
ISBN: 1315406306

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In recent decades, science has experienced a revolutionary shift. The development and extensive application of computer modelling and simulation has transformed the knowledge‐making practices of scientific fields as diverse as astro‐physics, genetics, robotics and demography. This epistemic transformation has brought with it a simultaneous heightening of political relevance and a renewal of international policy agendas, raising crucial questions about the nature and application of simulation knowledges throughout public policy. Through a diverse range of case studies, spanning over a century of theoretical and practical developments in the atmospheric and environmental sciences, this book argues that computer modelling and simulation have substantially changed scientific and cultural practices and shaped the emergence of novel ‘cultures of prediction’. Making an innovative, interdisciplinary contribution to understanding the impact of computer modelling on research practice, institutional configurations and broader cultures, this volume will be essential reading for anyone interested in the past, present and future of climate change and the environmental sciences.


Extremes in a Changing Climate

Extremes in a Changing Climate
Author: Amir AghaKouchak
Publisher: Springer Science & Business Media
Total Pages: 430
Release: 2012-10-24
Genre: Science
ISBN: 9400744781

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This book provides a collection of the state-of-the-art methodologies and approaches suggested for detecting extremes, trend analysis, accounting for nonstationarities, and uncertainties associated with extreme value analysis in a changing climate. This volume is designed so that it can be used as the primary reference on the available methodologies for analysis of climate extremes. Furthermore, the book addresses current hydrometeorologic global data sets and their applications for global scale analysis of extremes. While the main objective is to deliver recent theoretical concepts, several case studies on extreme climate conditions are provided. Audience The book is suitable for teaching in graduate courses in the disciplines of Civil and Environmental Engineering, Earth System Science, Meteorology and Atmospheric Sciences.


Statistical Analysis of Climate Extremes

Statistical Analysis of Climate Extremes
Author: Manfred Mudelsee
Publisher: Cambridge University Press
Total Pages: 213
Release: 2020
Genre:
ISBN: 1107033187

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The risks posed by climate change and its effect on climate extremes are an increasingly pressing societal problem. This book provides an accessible overview of the statistical analysis methods which can be used to investigate climate extremes and analyse potential risk. The statistical analysis methods are illustrated with case studies on extremes in the three major climate variables: temperature, precipitation, and wind speed. The book also provides datasets and access to appropriate analysis software, allowing the reader to replicate the case study calculations. Providing the necessary tools to analyse climate risk, this book is invaluable for students and researchers working in the climate sciences, as well as risk analysts interested in climate extremes.


An Investigation of Present and Future Climate Extremes Using Climate Model Data

An Investigation of Present and Future Climate Extremes Using Climate Model Data
Author: Justus Contzen
Publisher:
Total Pages: 0
Release: 2023
Genre:
ISBN:

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This work deals with the investigation of climate extremes using data from global circulation models. These models are one of the main tools that are used by climate scientists to study and quantitatively assess the future effects of climate change. Climate extremes like droughts, heat waves or heavy rain can potentially have severe consequences on people and economies worldwide, and changes in climate extremes can cause these effects to become more severe in the future, so a quantitative investigation of changes in climate extremes is of high relevance. After a general introduction to the climate system, to climate extremes and to the mathematical investigation of extremes we discuss in the first part of the work the validation of climate models in terms of extremes. The second part of the work investigates how climate models predict climate extremes to change in the future. In the third part of the work, we discuss some methods to investigate spatial dependencies of extremes.