Physical properties and hexachlorocyclohexane concentrations of sea-ice, water and ice algae samples, eastern Beaufort Sea

We present evidence that both geophysical and thermodynamic conditions in sea ice are important in understanding pathways of accumulation or rejection of hexachlorocyclohexanes (HCHs). a- and g-HCH concentrations and a-HCH enantiomer fractions have been measured in various ice classes and ages from the Canadian High Arctic. Mean a-HCH concentrations reached 0.642 ± 0.046 ng/L in new and young ice (<30 cm), 0.261 ±0.015 ng/L in the first-year ice (30-200 cm) and 0.208 ±0.045 in the old ice (>200 cm). Mean g-HCH concentrations were 0.066 ± 0.006 ng/L in new and young ice, 0.040 ±0.002 ng/L in the first-year ice and 0.040 ±0.007 ng/L in the old ice. In general, a-HCH concentrations and vertical distributions were highly dependent on the initial entrapment of brine and the subsequent desalination process. g-HCH levels and distribution in sea ice were not as clearly related to ice formation processes. During the year, first-year ice progressed from freezing (accumulation) to melting (ablation). Relations between the geophysical state of the sea ice and the vertical distribution of HCHs are described as ice passes through these thermodynamic states. In melting ice, which corresponded to the algal bloom period, the influence of biological processes within the bottom part of the ice on HCH concentrations and a-HCH enantiomer fraction is discussed using both univariate and multivariate approaches.

Sea ice draft measured by upward looking sonars in the Weddell Sea (Antarctica)

The presented database contains time-referenced sea ice draft values from upward looking sonar (ULS) measurements in the Weddell Sea, Antarctica. The sea ice draft data can be used to infer the thickness of the ice. They were collected during the period 1990-2008. In total, the database includes measurements from 13 locations in the Weddell Sea and was generated from more than 3.7 million measurements of sea ice draft. The files contain uncorrected raw drafts, corrected drafts and the basic parameters measured by the ULS. The measurement principle, the data processing procedure and the quality control are described in detail. To account for the unknown speed of sound in the water column above the ULS, two correction methods were applied to the draft data. The first method is based on defining a reference level from the identification of open water leads. The second method uses a model of sound speed in the oceanic mixed layer and is applied to ice draft in austral winter. Both methods are discussed and their accuracy is estimated. Finally, selected results of the processing are presented.

Biomarker distributions and calculated sea surface temperatures from the North Pacific Ocean

In order to study the modern sea surface characteristics of the sub-polar North Pacific and the Bering Sea, i.e. sea surface temperature (SST) and sea ice cover, surface sediments recovered during the RV Sonne Expedition 202 in 2009 were analysed. To distinguish between marine and terrestrial organic carbon, hydrogen index values, long chain n-alkanes and specific sterols have been determined. The results show that in the Bering Sea, especially on the sea slope, the organic carbon source is mainly caused by high primary production. In the North Pacific, on the other hand, the organic material originates predominantly from terrestrial higher plants, probably related to dust input from Asia. SST has been reconstructed using the modified alkenone unsaturation index. Calibration from Müller et al. (1998, doi:10.1016/S0016-7037(98)00097-0) offers the most reliable estimate of mean annual temperature in the central North Pacific but does not correlate with mean annual temperature throughout the study area. In the eastern North Pacific and the Bering Sea, the Sikes et al. (1997, doi:10.1016/S0016-7037(97)00017-3) calibration seems to be more accurate and matches summer SST. The distribution of the novel sea ice proxy IP25 (highly branched C25 isoprenoid alkene) in surface sediments is in accord with the modern spring sea ice edge and shows the potential of this proxy to track past variation in sea ice cover in the study area.