Logistic Curve Models of CO2 Accumulation

This article explores the use of logistic-shaped diffusion curves (S-Curves) to predict the accumulation of atmospheric CO2. The research question here is whether forecasts using logistic curves are stable, that is, do they predict consistently over time with different amounts of data? Using data...

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Main Author: David Levinson
Format: Article
Language:English
Published: Network Design Lab
Series:Transport Findings
Online Access:http://transportfindings.scholasticahq.com/article/13709-logistic-curve-models-of-co2-accumulation.pdf
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spelling doaj-9bc89166e2854e13aeddd24af4408f2e2020-11-25T03:28:58ZengNetwork Design LabTransport Findings2652-0397Logistic Curve Models of CO2 AccumulationDavid LevinsonThis article explores the use of logistic-shaped diffusion curves (S-Curves) to predict the accumulation of atmospheric CO2. The research question here is whether forecasts using logistic curves are stable, that is, do they predict consistently over time with different amounts of data? Using data from the Keeling Curve, we find that the best-fit maximum atmospheric CO2 predicted varies significantly by model year when estimating models limited to data available until that point in time. More recently estimated models are more consistent, all indicate that CO2 accumulation will continue in the absence of an external shock to the system.http://transportfindings.scholasticahq.com/article/13709-logistic-curve-models-of-co2-accumulation.pdf
collection DOAJ
language English
format Article
sources DOAJ
author David Levinson
spellingShingle David Levinson
Logistic Curve Models of CO2 Accumulation
Transport Findings
author_facet David Levinson
author_sort David Levinson
title Logistic Curve Models of CO2 Accumulation
title_short Logistic Curve Models of CO2 Accumulation
title_full Logistic Curve Models of CO2 Accumulation
title_fullStr Logistic Curve Models of CO2 Accumulation
title_full_unstemmed Logistic Curve Models of CO2 Accumulation
title_sort logistic curve models of co2 accumulation
publisher Network Design Lab
series Transport Findings
issn 2652-0397
description This article explores the use of logistic-shaped diffusion curves (S-Curves) to predict the accumulation of atmospheric CO2. The research question here is whether forecasts using logistic curves are stable, that is, do they predict consistently over time with different amounts of data? Using data from the Keeling Curve, we find that the best-fit maximum atmospheric CO2 predicted varies significantly by model year when estimating models limited to data available until that point in time. More recently estimated models are more consistent, all indicate that CO2 accumulation will continue in the absence of an external shock to the system.
url http://transportfindings.scholasticahq.com/article/13709-logistic-curve-models-of-co2-accumulation.pdf
work_keys_str_mv AT davidlevinson logisticcurvemodelsofco2accumulation
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