A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States

A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States

Global warming is a function of two main contributable entities in the atmosphere, carbon dioxide, and atmospheric temperature. The objective of this study is to develop a statistical model using actual fossil fuel carbon dioxide emissions data from the United States to predict relative probability...

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Bibliographic Details
Main Authors: Doo Young Kim, Chris P. Tsokos
Format: Article
Language:English
Published: Atlantis Press 2020-03-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Global Warming
Climate Change
Cluster Analysis
Transition Modeling
Online Access:https://www.atlantis-press.com/article/125935389/view
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spelling doaj-3345479273d9498cb040fa2a458b9ca52020-11-25T00:31:12ZengAtlantis PressJournal of Statistical Theory and Applications (JSTA)2214-17662020-03-0119110.2991/jsta.d.200224.002A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United StatesDoo Young KimChris P. TsokosGlobal warming is a function of two main contributable entities in the atmosphere, carbon dioxide, and atmospheric temperature. The objective of this study is to develop a statistical model using actual fossil fuel carbon dioxide emissions data from the United States to predict relative probability of rate of change in fossil fuels carbon dioxide emissions from nine US climate regions using transition modeling. The sensitivity of these transition probabilities to five sectors, that are the commercial, industrial, residential, transportation, and electric power sector, is also investigated for all nine US climate regions. The present study also suggests that the US government should be developing regional policies to control fossil fuel carbon dioxide emissions that will be more effective in addressing the subject problem.https://www.atlantis-press.com/article/125935389/viewGlobal WarmingClimate ChangeCluster AnalysisTransition Modeling
collection DOAJ
language English
format Article
sources DOAJ
author Doo Young Kim
Chris P. Tsokos
spellingShingle Doo Young Kim
Chris P. Tsokos
A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States
Journal of Statistical Theory and Applications (JSTA)
Global Warming
Climate Change
Cluster Analysis
Transition Modeling
author_facet Doo Young Kim
Chris P. Tsokos
author_sort Doo Young Kim
title A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States
title_short A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States
title_full A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States
title_fullStr A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States
title_full_unstemmed A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States
title_sort stochastic approach in modeling of regional atmospheric co2 in the united states
publisher Atlantis Press
series Journal of Statistical Theory and Applications (JSTA)
issn 2214-1766
publishDate 2020-03-01
description Global warming is a function of two main contributable entities in the atmosphere, carbon dioxide, and atmospheric temperature. The objective of this study is to develop a statistical model using actual fossil fuel carbon dioxide emissions data from the United States to predict relative probability of rate of change in fossil fuels carbon dioxide emissions from nine US climate regions using transition modeling. The sensitivity of these transition probabilities to five sectors, that are the commercial, industrial, residential, transportation, and electric power sector, is also investigated for all nine US climate regions. The present study also suggests that the US government should be developing regional policies to control fossil fuel carbon dioxide emissions that will be more effective in addressing the subject problem.
topic Global Warming
Climate Change
Cluster Analysis
Transition Modeling
url https://www.atlantis-press.com/article/125935389/view
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AT chrisptsokos astochasticapproachinmodelingofregionalatmosphericco2intheunitedstates
AT dooyoungkim stochasticapproachinmodelingofregionalatmosphericco2intheunitedstates
AT chrisptsokos stochasticapproachinmodelingofregionalatmosphericco2intheunitedstates
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