Evaluating Climate Change Impacts

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Vyacheslav Lyubchich (Center for Environmental Science, University of Maryland, USA) Yulia Gel (University of Texas, Dallas)

Evaluating Climate Change Impacts

Vyacheslav Lyubchich (Center for Environmental Science, University of Maryland, USA), Yulia Gel (University of Texas, Dallas), K. Halimeda Kilbourne , Thomas James Miller

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English

CRC Press Inc
07 October 2020

Epidemiology & medical statistics; Geophysics; Geochemistry; Global warming; Environmental science, engineering & technology

Series: Chapman & Hall/CRC Applied Environmental Statistics

Evaluating Climate Change Impacts discusses assessing and quantifying climate change and its impacts from a multi-faceted perspective of ecosystem, social, and infrastructure resilience, given through a lens of statistics and data science. It provides a multi-disciplinary view on the implications of climate variability and shows how the new data science paradigm can help us to mitigate climate-induced risk and to enhance climate adaptation strategies.

This book consists of chapters solicited from leading topical experts and presents their perspectives on climate change effects in two general areas: natural ecosystems and socio-economic impacts. The chapters unveil topics of atmospheric circulation, climate modeling, and long-term prediction; approach the problems of increasing frequency of extreme events, sea level rise, and forest fires, as well as economic losses, analysis of climate impacts for insurance, agriculture, fisheries, and electric and transport infrastructures. The reader will be exposed to the current research using a variety of methods from physical modeling, statistics, and machine learning, including the global circulation models (GCM) and ocean models, statistical generalized additive models (GAM) and generalized linear models (GLM), state space and graphical models, causality networks, Bayesian ensembles, a variety of index methods and statistical tests, and machine learning methods. The reader will learn about data from various sources, including GCM and ocean model outputs, satellite observations, and data collected by different agencies and research units. Many of the chapters provide references to open source software R and Python code that are available for implementing the methods.

Edited by: Vyacheslav Lyubchich (Center for Environmental Science University of Maryland USA), Yulia Gel (University of Texas, Dallas), K. Halimeda Kilbourne, Thomas James Miller, Nathaniel K. Newlands
Imprint: CRC Press Inc
Country of Publication: United States
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9780815392378
ISBN 10: 0815392370
Series: Chapman & Hall/CRC Applied Environmental Statistics
Pages: 382
Publication Date: 07 October 2020
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Hardback
Publisher's Status: Active

The book is an interdisciplinary initiative of statisticians, climatologists, ecologists and oceanographers whose research addresses development and implementation of analytical methodology for assessing climate change impacts. The team includes statisticians V. Lyubchich and Y. R. Gel (statistical and machine learning methods for quantification of the climate-induced risk), climatologist K. H. Kilbourne (paleoclimatology, geochemistry, assessment of the causes of climate variability), fisheries scientist T. J. Miller (effects of ocean acidification on blue crab, recruitment issues in menhaden and striped bass), disaster expert A. B. Smith (analysis of economic and societal impacts of extreme events and natural hazards), and research scientist in food-water-energy nexus N. K. Newlands (sustainability, precision agriculture and risk analysis using machine learning and integrated modeling).