Delta15N measurements as a calibration tool for the paleothermometer and gas-ice age differences : A case study for the 8200 B.P. event on GRIP ice
Delta15N measurements as a calibration tool for the paleothermometer and gas-ice age differences : A case study for the 8200 B.P. event on GRIP ice
复制标题
Delta15N 测量作为古温度计和气冰年龄差异的校准工具:8200 B.P. 的案例研究
DOI:
--
复制
发表时间:
1999
期刊:
影响因子:
--
通讯作者:
J. Schwander
中科院分区:
文献类型:
--
作者:
M. Leuenberger;C. Lang;J. Schwander
Isotopic composition measurement on atmospheric nitrogen (δ15N) trapped in ice cores is established as a gravitational enrichment indicator. Recently, it was discovered that thermal diffusion has a significant influence on this parameter during periods of large temperature fluctuations [Severinghaus et al., 1998]. Here we present results for the 8200 B.P. event, the largest temperature excursion during the Holocene, which underpin this view and extend it to medium-range temperature changes. The thermal diffusion component is about one third of the gravitational enrichment for this event. The shortness of this cooling event does not significantly affect the gravitational enrichment as documented by rather constant close-off depths. Therefore the δ15N residuals can be directly used to estimate temperature changes, hence calibrating the paleothermometer. Since our δ15N record can resolve temperature variations as short as a few decades, it complements the calibration technique of borehole temperature measurements, for which the resolution decreases rapidly with increasing age. We obtained a relation δ18Oice- temperature of 0.30±0.11‰/K, which agrees nicely with the temporal dependence for cold periods (about 0.30‰/K) and is significantly lower than today's Greenland spatial relation (0.67‰/K). This corresponds to a range of the surface temperature shift for the 8200 B.P. event in Central Greenland between 5.4 and 11.7 K, with a best estimate of 7.4 K. By matching the δ15N variations with δ18Oice variations we estimate the mean gas-ice age difference to be −209±15 years, which is in good agreement with model estimates.