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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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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