2021
DOI: 10.1002/jqs.3275
|View full text |Cite
|
Sign up to set email alerts
|

Retreat dynamics of the eastern sector of the British–Irish Ice Sheet during the last glaciation

Abstract: The findings of BRITICE‐CHRONO Transect 2 through the North Sea Basin and eastern England are reported. We define ice‐sheet marginal oscillation between ~31 and 16 ka, with seven distinctive former ice‐sheet limits (L1–7) constrained by Bayesian statistical analysis. The southernmost limit of the North Sea Lobe is recorded by the Bolders Bank Formation (L1; 25.8–24.6 ka). L2 represents ice‐sheet oscillation and early retreat to the northern edge of the Dogger Bank (23.5–22.2 ka), with the Garret Hill Moraine i… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
30
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6

Relationship

4
2

Authors

Journals

citations
Cited by 26 publications
(35 citation statements)
references
References 132 publications
(308 reference statements)
1
30
0
Order By: Relevance
“…The Automated Timing Accordance Tool (ATAT) (Ely et al, 2019a(Ely et al, , 2019b) is used to identify matches between modeled deglaciation ages and geochronological data (in calibrated years before present). Geochronological dates with a quality control rating of Green or Amber by Small et al (2017) were used, along with additional offshore dates from (Bateman et al, 2018;Bradwell et al, 2021;Callard et al, 2018;Evans et al, 2018Evans et al, , 2019Evans et al, , 2021Roberts et al, 2018Roberts et al, , 2019, resulting in 131 geochronological dates for comparison with modeled deglaciation ages. ATAT calculates the wRMSE between modeled deglaciation ages and geochronological data, accounting for the uneven spatial distribution of dates.…”
Section: Model-data Comparisonmentioning
confidence: 99%
“…The Automated Timing Accordance Tool (ATAT) (Ely et al, 2019a(Ely et al, , 2019b) is used to identify matches between modeled deglaciation ages and geochronological data (in calibrated years before present). Geochronological dates with a quality control rating of Green or Amber by Small et al (2017) were used, along with additional offshore dates from (Bateman et al, 2018;Bradwell et al, 2021;Callard et al, 2018;Evans et al, 2018Evans et al, , 2019Evans et al, , 2021Roberts et al, 2018Roberts et al, , 2019, resulting in 131 geochronological dates for comparison with modeled deglaciation ages. ATAT calculates the wRMSE between modeled deglaciation ages and geochronological data, accounting for the uneven spatial distribution of dates.…”
Section: Model-data Comparisonmentioning
confidence: 99%
“…This is done with new Bayesian modelling of geochronosequences to produce coherent and definitive syntheses of palaeogeographic reconstructions of the back‐stepping ice margins across the marine to terrestrial transition. These results on the timing and pacing of ice withdrawal are then used to understand the main controls that drove or modulated ice sheet retreat (Benetti et al ., 2021; Bradwell et al ., 2021a,b; Chiverrell et al ., 2021; Evans et al ., 2021; Ó Cofaigh et al ., 2021; Scourse et al ., 2021). A further paper reports on how ice sheet modelling experiments and empirical data can be used in combination (Ely et al ., 2021), and another probes the glaciological meaning of ice‐rafted debris (Wilton et al ., 2021).…”
Section: The Britice‐chrono Projectmentioning
confidence: 99%
“…In the transect overview paper, Evans et al . (2021) report some new dates and use the two Bayesian transects to analyse a total of 68 BRITICE‐CHRONO dates (53 OSL and 15 radiocarbon) and 37 legacy dates to build a reconstruction of ice margin extent and retreat. Key questions answered by the reconstruction include: how far did British ice extend?…”
Section: The Special Issue Papersmentioning
confidence: 99%
See 2 more Smart Citations