Mollenhauer, Gesine; Basse, Andreas; Kim, Jung-Hyun; Sinninghe Damsté, Jaap S; Fischer, Gerhard (2014): A four-year record of UK'37- and TEX86-derived sea surface temperature estimates from sinking particles in the filamentous upwelling region off Cape Blanc, Mauritania. PANGAEA, https://doi.org/10.1594/PANGAEA.835471, Supplement to: Mollenhauer, G et al. (2015): A four-year record of UK'37- and TEX86-derived sea surface temperature estimates from sinking particles in the filamentous upwelling region off Cape Blanc, Mauritania. Deep Sea Research Part I: Oceanographic Research Papers, 97, 67-79, https://doi.org/10.1016/j.dsr.2014.11.015
Always quote above citation when using data! You can download the citation in several formats below.
Lipid biomarker records from sinking particles collected by sediment traps are excellent tools to study the seasonality of biomarker production as well as processes of particle formation and settling, ultimately leading to the preservation of the biomarkers in sediments. Here we present records of the biomarker indices UK'37 based on alkenones and TEX86 based on isoprenoid glycerol dialkyl glycerol tetraethers (GDGTs), both used for the reconstruction of sea surface temperatures (SST). These records were obtained from sinking particles collected using a sediment trap moored in the filamentous upwelling zone off Cape Blanc, Mauritania, at approximately 1300 water depth during a four-year time interval between 2003 and 2007. Mass and lipid fluxes are highest during peak upwelling periods between October and June. The alkenone and GDGT records both display pronounced seasonal variability. Sinking velocities calculated from the time lag between measured SST maxima and minima and corresponding index maxima and minima in the trap samples are higher for particles containing alkenones (14-59 m/d) than for GDGTs (9-17 m/d). It is suggested that GDGTs are predominantly exported from shallow waters by incorporation in opal-rich particles. SST estimates based on the UK'37 index faithfully record observed fluctuations in SST during the study period. Temperature estimates based on TEX86 show smaller seasonal amplitudes, which can be explained with either predominant production of GDGTs during the warm season, or a contribution of GDGTs exported from deep waters carrying GDGTs in a distribution that translates to a high TEX86 signal.
Median Latitude: 20.942842 * Median Longitude: -18.430199 * South-bound Latitude: 12.430000 * West-bound Longitude: -21.000000 * North-bound Latitude: 27.540000 * East-bound Longitude: -13.740000
Date/Time Start: 2003-06-05T00:00:00 * Date/Time End: 2010-03-08T00:00:00