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USGS Arctic Ocean carbon cruise 2012; field activity L-01-12-AR to collect carbon data in the Arctic Ocean, August-September 2012
Journal article

USGS Arctic Ocean carbon cruise 2012; field activity L-01-12-AR to collect carbon data in the Arctic Ocean, August-September 2012

Lisa L. Robbins, Jonathan Wynn, Paul O. Knorr, Bogdan Onac, John T. Lisle, Kate McMullen, Kimberly K. Yates, Robert H. Byrne and Xuewu Liu
Data Series - U. S. Geological Survey
2014

Abstract

acidification Alaska Arctic Ocean carbon carbon dioxide carbonates continental shelf geochemistry hydrochemistry marine methods Oceanography sea water United States USGS
From August 25 to September 27, 2012, the United States Coast Guard Cutter (USCGC) Healy was part of an http://continentalshelf.gov/ Extended Continental Shelf Project to determine the limits of the extended continental shelf in the Arctic. On a non-interference basis, a USGS ocean acidification team participated on the cruise to collect baseline water data in the Arctic. The collection of data extended from coastal waters near Barrow, Alaska, to 83 degrees 2'N., -175 degrees 36'W., and southward back to coastal waters near Barrow and on to Dutch Harbor, Alaska. As a consequence, a number of hypotheses were tested and questions asked associated with ocean acidification, including: What is the saturation state for different parts of the basin? What factors drive the saturation state in the different parts of the basin? How does saturation state compare to other regions? How do the carbon fluxes compare in the different parts of the basin? What is the buffering capacity of the water (Revelle factor)? What kind of variability does carbon demonstrate in the Arctic (near shore versus offshore and diurnal)? During the cruise, underway continuous and discrete water samples were collected, and discrete water samples were collected at stations to document the carbonate chemistry of the Arctic waters and quantify the saturation state of seawater with respect to calcium carbonate. These data are critical for providing baseline information in areas where no data have existed prior and will also be used to test existing models and predict future trends.

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