- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
A Probabilistic Method to Construct an Optimal Ice Chronology for Ice Cores
Search this article
Description
Accurate ice chronologies are needed for the interpretation of paleoclimate reconstructions inferred from ice cores. Several methods are used to provide chronological information: identification of dated horizons along the cores, synchronization to other dated paleoclimatic records, counting of annual layers or modelling of the ice flow. These methods are relevant for different parts of the core and enable to reach various levels of accuracy. We present a probabilistic approach based on inverse techniques which aims at building an optimal ice core chronology by using all the available chronological information. It consists in identifying the accumulation rate and the thinning function along the core 1) which are as close as possible to the flow model simulations and 2) so that the corresponding ice chronology is as close as possible to independent dating information. This probabilistic approach enables to evaluate confidence intervals on the optimal age scale as well as on the accumulation and the thinning estimates. We test the new method on the EPICA Dome C ice core. The necessary prior accumulation rate and thinning function as well as a set of dated horizons are provided by a previous work aiming at the EDC3 age scale reconstruction. We further discuss the sensitivity of the obtaincd optimal solution with respect to the necessary prior information. This probabilistic approach could be used in the future to build a common and optimal chronology for several ice cores simultaneously.
Journal
-
- Low Temperature Science
-
Low Temperature Science 68 (Supplement), 233-245, 2009-12
Institute of Low Temperature Science, Hokkaido University
- Tweet
Details 詳細情報について
-
- CRID
- 1050564288961677568
-
- NII Article ID
- 40018938254
-
- NII Book ID
- AA12122962
-
- HANDLE
- 2115/45451
-
- NDL BIB ID
- 11195992
-
- ISSN
- 18807593
-
- Text Lang
- en
-
- Article Type
- departmental bulletin paper
-
- Data Source
-
- IRDB
- NDL Search
- CiNii Articles