2022
DOI: 10.5194/gchron-4-269-2022
|View full text |Cite
|
Sign up to set email alerts
|

Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble

Abstract: Abstract. Age–depth relationships are the key elements in paleoenvironmental studies to place proxy measurements into a temporal context. However, potential influencing factors of the available radiocarbon data and the associated modeling process can cause serious divergences of age–depth relationships from true chronologies, which is particularly challenging for paleolimnological studies in Arctic regions. This paper provides geoscientists with a tool-assisted approach to compare outputs from age–depth modeli… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
1
1

Relationship

3
2

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 117 publications
0
4
0
Order By: Relevance
“…LANDO links five age-depth modeling systems (Bacon, Bchron, clam, hamstr, Undatable) in one multi-language Jupyter Notebook (Haslett and Parnell, 2008;Parnell et al, 2008;Blaauw, 2010;Blaauw and Christen, 2011;Kluyver et al, 2016;Peng et al, 2018;Lougheed and Obrochta, 2019;Dolman, 2022). For all sediment cores, we combined the results from the five modeling systems with standard settings into an ensemble model with twosigma uncertainty [as described in Pfalz et al (2022)]. We propagated these sedimentation rate uncertainties into the OCAR calculations (Eq.…”
Section: Methodsmentioning
confidence: 99%
“…LANDO links five age-depth modeling systems (Bacon, Bchron, clam, hamstr, Undatable) in one multi-language Jupyter Notebook (Haslett and Parnell, 2008;Parnell et al, 2008;Blaauw, 2010;Blaauw and Christen, 2011;Kluyver et al, 2016;Peng et al, 2018;Lougheed and Obrochta, 2019;Dolman, 2022). For all sediment cores, we combined the results from the five modeling systems with standard settings into an ensemble model with twosigma uncertainty [as described in Pfalz et al (2022)]. We propagated these sedimentation rate uncertainties into the OCAR calculations (Eq.…”
Section: Methodsmentioning
confidence: 99%
“…For the chronology of the long core EN18218, we used LANDO (linked age and depth modeling). In the current version (v1.3), LANDO combines the output of five age-depth modeling software programs (Bacon, Bchron, clam, hamstr, Undatable) in a single interactive computing platform described in Pfalz et al (2022). The advantage of this approach over a single age-depth model is that the combined model takes multiple age-depth uncertainty ranges into consideration and reduces biases towards overinterpretation.…”
Section: Chronologymentioning
confidence: 99%
“…We derived SR from age-depth modeling in a standard procedure according to Eq. ( 2) (Pfalz et al, 2022).…”
Section: Data Processing and Statisticsmentioning
confidence: 99%
“…For the chronology of long core EN18218, we used the LANDO age-depth modelling approach In the current version (v1.3), LANDO combines the output of five age-depth modelling software (Bacon, Bchron, clam, hamstr, Undatable) in a single interactive computing platform described in Pfalz et al (2022). The advantage of this approach over a single age-depth model is that the combined model takes multiple age-depth uncertainty ranges into consideration and reduces biases towards overinterpretation.…”
Section: Chronology 110mentioning
confidence: 99%