Assimilating the ICE‐6G_C Reconstruction of the Latest Quaternary Ice Age Cycle Into Numerical Simulations of the Laurentide and Fennoscandian Ice Sheets

Autor: G. R. Stuhne, W. R. Peltier
Rok vydání: 2017
Předmět:
Zdroj: Journal of Geophysical Research: Earth Surface. 122:2324-2347
ISSN: 2169-9011
2169-9003
DOI: 10.1002/2017jf004359
Popis: We analyze the effects of nudging 100 kyr numerical simulations of the Laurentide and Fennoscandian ice-sheets towards the glacial isostatic adjustment-based (GIA-based) ICE-6G_C reconstruction of the most recent ice-age cycle. Starting with the ice physics approximations of the PISM ice sheet model and the SeaRISE simulation protocols, we incorporate nudging at characteristic time scales, τf, through anomalous mass balance terms in the ice mass conservation equation. As should be expected, these mass balances exhibit physically unrealistic details arising from pure GIA-based reconstruction geometry when nudging is very strong (τf=20 yr for North America) while weakly nudged (τf=1000 yr) solutions deviate from ICE-6G_C sufficiently to degrade its observational fit quality. For reasonable intermediate time scales (τf=100 yr and 200 yr), we perturbatively analyze nudged ice dynamics as a superposition of “leading-order smoothing” that diffuses ICE-6G_C in a physically and observationally consistent manner and “higher-order” deviations arising, for instance, from biases in the time dependence of surface climate boundary conditions. Based upon the relative deviations between respective nudged simulations in which these biases follow surface temperature from ice cores and eustatic sea level from marine sediment cores, we compute “ice core climate adjustments” that suggest how local paleoclimate observations may be applied to the systematic refinement of ICE-6G_C. Our results are consistent with a growing body of evidence suggesting that the geographical origins of Meltwater Pulse 1B (MWP1b) may lie primarily in North America as opposed to Antarctica (as reconstructed in ICE-6G_C).
Databáze: OpenAIRE
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