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PANGAEA.
Data Publisher for Earth & Environmental Science
Abstract:
The Tara Pacific expedition (2016-2018) sampled coral ecosystems around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples. The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide the continuous dataset originating from backscattering sensor [BB3] (WETLabs ECO-BB3) instruments acquiring continuously during the full course of the campaign. Surface seawater was pumped continuously through a hull inlet located 1.5 m under the waterline using a membrane pump (10 LPM; Shurflo), circulated through a vortex debubbler, a flow meter, and distributed to a number of flow-through instruments. The backscattering sensor [BB3] (WETLabs ECO-BB3) was added to the underway system to measure the volume scattering function [VSF] at 124° and 3 wavelengths (470, 532, 650 nm). The flow was automatically directed through a 0.2 µm filter for 10 minutes every hour before being circulated through the [BB3] allowing the calculation of particulate backscattering [bbp] by removing the signal due to dissolved matter, drift, and biofouling (Slade et al. 2010, doi:10.1175/2010JTECHO755.1). The particulate organic carbon concentration [poc] was estimated by applying an empirical relation between measured [poc] and [bbp] (Cetinić et al. 2012, doi:10.1175/2010JTECHO755.1). Phytoplankton organic carbon [cphyto] was estimated by an empirical relationship with [bbp] (Graff et al. 2015, doi:10.1016/j.dsr.2015.04.006).
Keyword(s):
Backscatter; phytoplankton carbon; POC
Related to:
Flores, J Michel; Bourdin, Guillaume; Altaratz, Orit; Trainic, Miri; Lang-Yona, Naama; Dzimban, Edouard; Steinau, Sebastian; Tettich, F; Planes, Serge; Allemand, Denis; Agostini, Sylvain; Banaigs, Bernard; Boissin, Emilie; Boss, Emmanuel; Douville, Eric; Forcioli, Didier; Furla, Paola; Galand, Pierre E; Sullivan, Matthew B; Gilson, Eric; Lombard, Fabien; Moulin, Clémentine; Pesant, Stephane; Poulain, Julie; Reynaud, Stéphanie; Romac, Sarah; Sunagawa, Shinichi; Thomas, Olivier; Troublé, Romain; De Vargas, Colomban; Vega Thurber, Rebecca; Voolstra, Christian R; Wincker, Patrick; Zoccola, Didier; Bowler, Chris; Gorsky, G; Rudich, Yinon; Vardi, Assaf; Koren, Ilan (2020): Tara Pacific Expedition's Atmospheric Measurements of Marine Aerosols across the Atlantic and Pacific Oceans: Overview and Preliminary Results. Bulletin of the American Meteorological Society, 101(5), E536-E554, https://doi.org/10.1175/BAMS-D-18-0224.1
Project(s):
Coverage:
Median Latitude: 6.215640 * Median Longitude: -179.237849 * South-bound Latitude: -35.879450 * West-bound Longitude: 109.454450 * North-bound Latitude: 51.660000 * East-bound Longitude: -4.634050
Date/Time Start: 2016-11-14T22:06:00 * Date/Time End: 2018-10-26T12:02:00
Event(s):
TARA_2016-2018 * Location: Pacific Ocean * Campaign: TARA_PACIFIC_2016-2018 * Basis: SV Tara * Method/Device: Underway, multiple sensors (UMS)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeLombard, FabienGeocode – UTC
2LATITUDELatitudeLombard, FabienGeocode
3LONGITUDELongitudeLombard, FabienGeocode
4Temperature, waterTemp°CLombard, FabienCTD, Sea-Bird; measured with Thermosalinograph (TSG) sensorSea surface temperature
5SalinitySalLombard, FabienCTD, Sea-Bird; measured with Thermosalinograph (TSG) sensorCalibrated sea surface salinity (PSU)
6Volume scattering function at 124°, 470 nmVSF124 470 nmm/SrLombard, FabienSpectral backscattering sensor (WET Labs, Eco-bb3)
7Volume scattering function at 124°, 532 nmVSF124 532 nmm/SrLombard, FabienSpectral backscattering sensor (WET Labs, Eco-bb3)
8Volume scattering function at 124°, 650 nmVSF124 650 nmm/SrLombard, FabienSpectral backscattering sensor (WET Labs, Eco-bb3)
9Backscattering coefficient of particles, 470 nmbbp4701/mLombard, FabienSpectral backscattering sensor (WET Labs, Eco-bb3)
10Backscattering coefficient of particles, 532 nmbbp5321/mLombard, FabienSpectral backscattering sensor (WET Labs, Eco-bb3)
11Backscattering coefficient of particles, 650 nmbbp6501/mLombard, FabienSpectral backscattering sensor (WET Labs, Eco-bb3)
12Volume scattering function at 124°, 470 nm, standard deviationVSF124 470 nm std dev±Lombard, FabienSpectral backscattering sensor (WET Labs, Eco-bb3)
13Volume scattering function at 124°, 532 nm, standard deviationVSF124 532 nm std dev±Lombard, FabienSpectral backscattering sensor (WET Labs, Eco-bb3)
14Volume scattering function at 124°, 650 nm, standard deviationVSF124 650 nm std dev±Lombard, FabienSpectral backscattering sensor (WET Labs, Eco-bb3)
15NumberNoLombard, FabienSpectral backscattering sensor (WET Labs, Eco-bb3)Bincount number of raw values averaged
16Carbon, organic, particulatePOCmg/m3Lombard, FabienAccording to Cetinić et al. (2012)Estimate from bbp at 470nm
17Carbon, organic, particulatePOCmg/m3Lombard, FabienAccording to Cetinić et al. (2012)Estimate from bbp at 532nm
18Carbon, organic, particulatePOCmg/m3Lombard, FabienAccording to Cetinić et al. (2012)Estimate from bbp at 650nm
19Phytoplankton, biomass as carbonPhytopl Cmg/m3Lombard, FabienAccording to Graff et al. (2015)Estimate from bbp at 470nm
20Phytoplankton, biomass as carbonPhytopl Cmg/m3Lombard, FabienAccording to Graff et al. (2015)Estimate from bbp at 532nm
21Phytoplankton, biomass as carbonPhytopl Cmg/m3Lombard, FabienAccording to Graff et al. (2015)Estimate from bbp at 650nm
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
6020692 data points

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