Potential controls of isoprene in the surface ocean

This is the final version. Available from American Geophysical Union (AGU) via the DOI in this record. Isoprene surface ocean concentrations and vertical distribution, atmospheric mixing ratios, and calculated sea-to-air fluxes spanning approximately 125° of latitude (80°N–45°S) over the Arctic and...

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Bibliographic Details
Published in:Global Biogeochemical Cycles
Main Authors: Hackenberg, SC, Andrews, SJ, Airs, R, Arnold, SR, Bouman, HA, Brewin, RJW, Chance, RJ, Cummings, D, Dall'Olmo, G, Lewis, AC, Minaeian, JK, Reifel, KM, Small, A, Tarran, GA, Tilstone, GH, Carpenter, LJ
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2017
Subjects:
marine isoprene
sea to air fluxes
seawater concentrations
atmospheric mixing ratios
biogenic trace gas
Arctic
Online Access:http://hdl.handle.net/10871/38271
https://doi.org/10.1002/2016GB005531
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Summary:This is the final version. Available from American Geophysical Union (AGU) via the DOI in this record. Isoprene surface ocean concentrations and vertical distribution, atmospheric mixing ratios, and calculated sea-to-air fluxes spanning approximately 125° of latitude (80°N–45°S) over the Arctic and Atlantic Oceans are reported. Oceanic isoprene concentrations were associated with a number of concurrently monitored biological variables including chlorophyll a (Chl a), photoprotective pigments, integrated primary production (intPP), and cyanobacterial cell counts, with higher isoprene concentrations relative to all respective variables found at sea surface temperatures greater than 20°C. The correlation between isoprene and the sum of photoprotective carotenoids, which is reported here for the first time, was the most consistent across all cruises. Parameterizations based on linear regression analyses of these relationships perform well for Arctic and Atlantic data, producing a better fit to observations than an existing Chl a-based parameterization. Global extrapolation of isoprene surface water concentrations using satellite-derived Chl a and intPP reproduced general trends in the in situ data and absolute values within a factor of 2 between 60% and 85%, depending on the data set and algorithm used. NERC NERC Doctoral Training Grant (DTG) UK Natural Environment Research Council National Capability British Oceanographic Data Centre

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