Difference between revisions of "LR04 benthic stack"
(Added PropertyValue: ModeledBy (L) = LR04 benthic stack.Model1) |
(Deleted PropertyValue: ModeledBy (L) = LR04_benthic_stack.Model1) |
||
| (4 intermediate revisions by the same user not shown) | |||
| Line 3: | Line 3: | ||
Author (L)=L._Lisiecki| | Author (L)=L._Lisiecki| | ||
Author (L)=M._Raymo| | Author (L)=M._Raymo| | ||
| − | + | CompilationCitation (L)=Lisiecki, L. E., and M. E. Raymo (2005), A Pliocene-Pleistocene stack of 57 globally distributed benthic d18O records, Paleoceanography, 20, PA1003, doi:10.1029/2004PA001071| | |
| + | Output=http://wiki.linked.earth/File:LR04stack.txt| | ||
PublishedIn (L)=Publication.10.1029/2004PA001071}} | PublishedIn (L)=Publication.10.1029/2004PA001071}} | ||
| + | |||
| + | [[File:LR04stackfig.gif | thumb | right | 400px | LR04 benthic stack. Figure credit: L Lisiecki, http://lorraine-lisiecki.com/stack.html]] | ||
| + | |||
| + | The LR04 stack spans 5.3M Myr and is an average of 57 globally distributed benthic δ<sup>18</sup>O records(which measure global ice volume and deep ocean temperature) collected from the scientific literature. The records were placed on a common age model using a graphic correlation technique ([[Match]]). The new age model fo the stack was developped using orbital tuning combined with constraints provided by the average sedimentation rates of the 57 records. | ||
| + | |||
| + | Paleoclimate research has recently produced an explosion of new paleoclimate time series, but fully utilizing the acquired data requires coordinated analysis of globally distributed records. The LR04 stack and its age model provide the paleoclimate community with an important stratigraphic tool, which can be used to facilitate the comparison of widely distributed marine climate records. | ||
Latest revision as of 20:25, 22 June 2017
Information about the LR04 benthic d18O stack
The LR04 stack spans 5.3M Myr and is an average of 57 globally distributed benthic δ18O records(which measure global ice volume and deep ocean temperature) collected from the scientific literature. The records were placed on a common age model using a graphic correlation technique (Match). The new age model fo the stack was developped using orbital tuning combined with constraints provided by the average sedimentation rates of the 57 records.
Paleoclimate research has recently produced an explosion of new paleoclimate time series, but fully utilizing the acquired data requires coordinated analysis of globally distributed records. The LR04 stack and its age model provide the paleoclimate community with an important stratigraphic tool, which can be used to facilitate the comparison of widely distributed marine climate records.
