Reconstructing spring sea ice concentration in the Chukchi Sea over recent centuries: insights into the application of the PIP25 index

In this study, we aimed to reconstruct spring (April–June) sea ice changes in the western Arctic Ocean over recent centuries (ca. the last 250 years) by measuring biomarker distributions in a multicore (ARA01B-03MUC) retrieved from the Chukchi Shelf region and to evaluate outcomes against known or m...

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Bibliographic Details
Published in:Environmental Research Letters
Main Authors: Jung-Hyun Kim, Jong-Ku Gal, Sang-Yoon Jun, Lukas Smik, Dahae Kim, Simon T Belt, Kwangkyu Park, Kyung-Hoon Shin, Seung-Il Nam
Format: Article in Journal/Newspaper
Language:English
Published: IOP Publishing 2019
Subjects:
Q
Online Access:https://doi.org/10.1088/1748-9326/ab4b6e
https://doaj.org/article/8a9ded64a4a7477da40b94dff6d82b23
Description
Summary:In this study, we aimed to reconstruct spring (April–June) sea ice changes in the western Arctic Ocean over recent centuries (ca. the last 250 years) by measuring biomarker distributions in a multicore (ARA01B-03MUC) retrieved from the Chukchi Shelf region and to evaluate outcomes against known or modelled estimates of sea ice conditions. Specifically, we analyzed for the Arctic sea ice proxy IP _25 and assessed the suitability of a further highly branched isoprenoid (HBI) lipid (HBI III), epi-brassicasterol, and dinosterol as complementary biomarkers for use with the so-called phytoplankton marker-IP _25 index (PIP _25 P _III IP _25 , P _B IP _25 , and P _D IP _25 , respectively). The presence of IP _25 throughout core ARA01B-03MUC confirms the occurrence of seasonal sea ice at the study site over recent centuries. From a semi-quantitative perspective, all three PIP _25 indices gave different trends, with some dependence on the balance factor c , a term used in the calculation of the PIP _25 index. P _III IP _25 -derived spring sea ice concentration (SpSIC) estimates using a c value of 0.63, determined previously from analysis of Barents Sea surface sediments, were likely most reliable, since SpSIC values were high throughout the record (SpSIC > 78%), consistent with the modern context for the Chukchi Sea and the mean SpSIC record of the 41 CMIP5 climate models over recent centuries. P _B IP _25 -based SpSIC estimates were also high (SpSIC 108%−127%), albeit somewhat over-estimated, when using a c value of 0.023 obtained from a pan-Arctic distribution of surface sediments. In contrast, P _D IP _25 values using a pan-Arctic c value of 0.11, and PIP _25 data based on the mean biomarker concentrations from ARA01B-03MUC, largely underestimated sea ice conditions (SpSIC as low as 13%), and exhibited poor agreement with instrumental records or model outputs. On the other hand, P _B IP _25 values using a c factor based on mean IP _25 and epi-brassicasterol concentrations exhibited a decline towards the core top, ...