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Other research product . Other ORP type . Collection . 2019

Hydrological, biogeochemical and carbonate system data in coastal waters and in glacier drainage systems in Kongsfjorden (Svalbard), during July-August 2016, supplement to: Cantoni, Carolina; Clarke, Jennifer; Chiggiato, Jacopo; Achterberg, Eric Pieter; Cozzi, Stefano (2020): Glacial drivers of marine biogeochemistry indicate a future shift to more corrosive conditions in an Arctic fjord. Journal of Geophysical Research: Biogeosciences

Cantoni, Carolina; Hopwood, Mark J; Clarke, Jennifer; Chiggiato, Jacopo; Achterberg, Eric Pieter; Cozzi, Stefano;
Open Access
English
Published: 01 Jan 2019
Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
Abstract
A detailed survey of a high Arctic fjord (Kongsfjorden, Svalbard), subjected to a large glacier discharge, was carried out from 24 July to 13 August 2016. Field activities addressed the identification of the effects of glacier and iceberg melting on the evolution of nutrient, dissolved organic matter and carbonate systems in this coastal marine environment. Hydrological (CTD downcasts) and biogeochemical (bottle sampling) data were collected during six oceanographic surveys in the inner area of the fjord, in concomitance to the annual phase of maximum air warming. An extensive sampling was also carried out in all glacier drainage systems located around the fjord and from several iceberg samples, in order to characterize all freshwater loads. The dataset includes hydrological data (T, Sal., density) carbonate chemistry data (pH, DIC, TA) and the concentrations of dissolved oxygen (DO), inorganic nutrients (NO3-, NO2-, NH4+, PO43-, SiO2), dissolved organic matter (DOC, DON) and some micronutrients (Fe, Mn). Analytical methodsDO samples were analyzed by the Winkler method (Grasshoff et al., 1999) using an automated Metrohm 798 MPT Titrino potentiometric titration system (CV = 0.17 %at 210 μmol L-1).The determination of macronutrients was carried out following standard colorimetric methods (Grasshoff et al., 1999),using an OI-Analytical (Flow Solution III) autoanalyzer.Samples for the determination of DOC and TDN were analyzed by High-Temperature Catalytic Oxidation(HTCO) method, using a Shimadzu TOC-V analyzer equipped with a total nitrogen module TNM-1(Grasshoff et al., 1999). DOC was determined in triplicate (CV 12 months. Samples were then diluted with 1 M HNO3distilled in house using a DST-1000 Savillex from SPA grade HNO3(ROMIL), and analysed by ICP-MS (ELEMENT XR, ThermoFisherScientific). For river and ice samples (S < 0.5), a Thermo Scientific glass electrode was used to determine the pH. It was calibrated, prior to use, at 20°C with buffers (Merck, Centipur buffers) at pH 7 and 10 and the values were reported on NBSscale (pHNBS20).Analytical methods used for the determination of the other chemical parameters in freshwater and melted ice samples were equivalent to those used for seawater samples.
Subjects

Carbonate chemistry, glacier, Iceberg, nutrients, Ocean acidification, runoff, Ocean Food-web Patrol – Climate Effects: Reducing Targeted Uncertainties with an Interactive Network (OCEAN-CERTAIN), pH Tipping Point in Svalbard (pHinS), Ocean Food web Patrol Climate Effects Reducing Targeted Uncertainties with an Interactive Network OC, pH Tipping Point in Svalbard pHinS, Chemistry, Natural Sciences

Funded by
EC| OCEAN-CERTAIN
Project
OCEAN-CERTAIN
Ocean Food-web Patrol – Climate Effects: Reducing Targeted Uncertainties with an Interactive Network
  • Funder: European Commission (EC)
  • Project Code: 603773
  • Funding stream: FP7 | SP1 | ENV
Related to Research communities
European Marine Science Marine Environmental Science : Ocean Food-web Patrol - Climate Effects: Reducing Targeted Uncertainties with an Interactive Network
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Other ORP type . 2019
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