Novel automated inversion algorithm for temperature reconstruction using gas isotopes from ice cores

Döring, Michael; Leuenberger, Markus C.

doi:https://doi.org/10.5194/cp-14-763-2018

Articles | Volume 14, issue 6

https://doi.org/10.5194/cp-14-763-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

“Global Challenges for our Common Future: a paleoscience perspective”...

https://doi.org/10.5194/cp-14-763-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 6

Research article

|

12 Jun 2018

Research article |

| 12 Jun 2018

Novel automated inversion algorithm for temperature reconstruction using gas isotopes from ice cores

Michael Döring and Markus C. Leuenberger

Supplement

https://doi.org/10.5194/cp-14-763-2018-supplement

Data sets

Synthetic and fitted d15N and temperature data and GISP2 accumulation rates (13.5-52497.5 yr b2k) on GICC05 time scale Michael Döring and Markus C. Leuenberger https://doi.org/10.1594/PANGAEA.888997

GISP2 Oxygen Isotope Data Pieter Meiert Grootes and Minze Stuiver https://doi.org/10.1594/PANGAEA.56094

Short summary

We present a novel approach for ice-core-based temperature reconstructions, which is based on gas-isotope data measured on enclosed air bubbles in ice cores. The processes of air movement and enclosure are highly temperature dependent due to heat diffusion in and densification of the snow and ice. Our method inverts a model, which describes these processes, to desired temperature histories. This paper examines the performance of our novel approach on different synthetic isotope-data scenarios.