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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Findings Press
2020-07-01
|
| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.13709 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850220060923133952 |
|---|---|
| author | David Levinson |
| author_facet | David Levinson |
| author_sort | David Levinson |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-9bc89166e2854e13aeddd24af4408f2e |
| institution | OA Journals |
| issn | 2652-8800 |
| language | English |
| publishDate | 2020-07-01 |
| publisher | Findings Press |
| record_format | Article |
| series | Findings |
| spelling | doaj-art-9bc89166e2854e13aeddd24af4408f2e2025-08-20T02:07:12ZengFindings PressFindings2652-88002020-07-0110.32866/001c.13709Logistic 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.https://doi.org/10.32866/001c.13709 |
| spellingShingle | David Levinson Logistic Curve Models of CO2 Accumulation Findings |
| title | 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_short | Logistic Curve Models of CO2 Accumulation |
| title_sort | logistic curve models of co2 accumulation |
| url | https://doi.org/10.32866/001c.13709 |
| work_keys_str_mv | AT davidlevinson logisticcurvemodelsofco2accumulation |