Averaged bottle measurements from CTD casts on R/V Oceanus cruise OC449-03 in the Coastal transect between Cape Verde and Mauritanian coast in 2008 (SIRENA project)

Website: https://www.bco-dmo.org/dataset/3491
Version: 13 October 2011
Version Date: 2011-10-13

Project
» Sources of Iron to the EasterN tropical Atlantic (SIRENA)

Program
» Ocean Carbon and Biogeochemistry (OCB)
ContributorsAffiliationRole
Lam, Phoebe J.Woods Hole Oceanographic Institution (WHOI)Principal Investigator, Contact
Gegg, Stephen R.Woods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Dataset Description

CTD Bottle Data - avg, stdev,min and max values at bottle firings for various parameters
 
PI's Note/09May2011:
In comparing my pump seacat CTD to the ship's CTD, I've discovered that the ship's CTD's fluorescence and beam attenuation are no good, at least for OC449-3. The ship's fluorometer was clearly just not working.  The ship's transmissometer misbehaved in a more subtle manner--oceanographically consistent, but of a different pattern than my pump seacat data.  I concluded that my pump seacat CTD's transmissometer is the "correct" one by comparing to discrete particulate carbon measurements on particles collected on my pumps.  Both particulate carbon concentrations and beam attenuation from my pump seacat CTD show a minimum at 500m at OC449-3 station 3, whereas the ship's CTD shows an anomalous minimum in subsurface beam attenuation at station 2, which is not seem in the particulate carbon concentrations.
 

Methods & Sampling

* Sea-Bird SBE 9 Data File:
* FileName = C:dataoc449-03_016.hdr
* Software Version Seasave V 7.14c
* Temperature SN = 2265
* Conductivity SN = 2304
* Number of Bytes Per Scan = 40
* Number of Voltage Words = 5
* Number of Scans Averaged by the Deck Unit = 1
* System UpLoad Time = Sep 13 2008 23:43:34
* NMEA Latitude = 19 50.80 N
* NMEA Longitude = 017 41.17 W
* NMEA UTC (Time) = Sep 13 2008  23:43:32
* Store Lat/Lon Data = Append to Every Scan
** station_006
# interval = seconds: 0.0416667                   
# start_time = Sep 13 2008 23:43:34
# sensor 0 = Frequency  0  temperature, primary, 2265, 2007-10-24
# sensor 1 = Frequency  1  conductivity, primary, 2304, 2007-10-25, cpcor = -9.5700e-08
# sensor 2 = Frequency  2  pressure, 69685, 12/18/2002
# sensor 3 = Frequency  3  temperature, secondary, 2271, 2007-10-24
# sensor 4 = Frequency  4  conductivity, secondary, 2645, 2007-10-25, cpcor = -9.5700e-08
# sensor 5 = Extrnl Volt  0  WET Labs, ECO_AFL
# sensor 6 = Extrnl Volt  1  userpoly 0, FLNTURTD-1012, 2008-04-18
# sensor 7 = Extrnl Volt  3  transmissometer, primary, CST-1117DR, 2008-04-30
# sensor 8 = Extrnl Volt  4  altimeter
# sensor 9 = Extrnl Volt  5  Oxygen, SBE, primary, 794, 2008-09-01
# sensor 10 = Extrnl Volt  9  surface irradiance (SPAR), degrees = 0.0
# datcnv_date = Sep 16 2008 14:23:13, 7.15
# datcnv_in = c:ctd_processingoc449-03_016.hex c:ctd_processingoc449-03_016.con 
# datcnv_bottle_scan_range_source = scans marked with bottle confirm bit, 0, 2
# bottlesum_date = Sep 16 2008 14:24:56, 7.15
# bottlesum_in = c:ctd_processingoc449-03_016.ros c:ctd_processingoc449-03_016.con c:ctd_processingoc449-03_016.BL
 

Data Processing Description

BCO-DMO Processing Notes
- Awk written to reformat original .btl files contributed by Phoebe Lam
- AWK: OC449-03_CTDbtl_2_BCODMO.awk

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Data Files

File
CTDbtl_OC449_03.csv
(Comma Separated Values (.csv), 302.96 KB)
MD5:90f22101afd22e1f13190542e106fd95
Primary data file for dataset ID 3491

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Parameters

ParameterDescriptionUnits
CTD_DataSet_IdCTD Dataset Id text
dateStation date YYYYMMDD
timeStation time HHMMSS
latStation latitude from header record (South is negative) decimal degrees
lonStation longitude from header record (West is negative) decimal degrees
bottle_positionBottle position integer
date_bottleDate of bottle firing YYYYMMDD
time_bottleTime of bottle firing HHMMSS
Density00Density Kg/m^3
N2satML_LNitrogen Saturation ml/l
OxsatML_LOxygen Saturation ml/l
Sbeox0ML_LOxygen SBE 43 ml/l
Potemp090CPotential Temperature ITS-90 degrees Celsius
Sal00Salinity PSU
SvaSpecific Volume Anomaly 10^-8 * m^3/Kg
TimeS_avgElapsed time average seconds
TimeS_sdevElapsed time standard of deviation seconds
TimeS_minElapsed time minimum seconds
TimeS_maxElapsed time maximum seconds
PrDM_avgPressure Digiquartz average decibars
PrDM_sdevPressure Digiquartz standard of deviation decibars
PrDM_minPressure Digiquartz minimum decibars
PrDM_maxPressure Digiquartz maximum decibars
DepSM_avgDepth salt water average meters
DepSM_sdevDepth salt water standard of deviation meters
DepSM_minDepth salt water minimum meters
DepSM_maxDepth salt water maximum meters
T090C_avgTemperature ITS-90 average degrees Celsius
T090C_sdevTemperature ITS-90 standard of deviation degrees Celsius
T090C_minTemperature ITS-90 minimum degrees Celsius
T090C_maxTemperature ITS-90 maximum degrees Celsius
T190C_avgTemperature 2 ITS-90 average degrees Celsius
T190C_sdevTemperature 2 ITS-90 standard of deviation degrees Celsius
T190C_minTemperature 2 ITS-90 minimum degrees Celsius
T190C_maxTemperature 2 ITS-90 maximum degrees Celsius
Sal00_avgSalinity average PSU
Sal00_sdevSalinity standard of deviation PSU
Sal00_minSalinity minimum PSU
Sal00_maxSalinity maximum PSU
Sal11_avgSalinity 2 average PSU
Sal11_sdevSalinity 2 standard of deviation PSU
Sal11_minSalinity 2 minimum PSU
Sal11_maxSalinity 2 maximum PSU
C0S_m_avgConductivity average S/m
C0S_m_sdevConductivity standard of deviation S/m
C0S_m_minConductivity minimum S/m
C0S_m_maxConductivity maximum S/m
C1S_m_avgConductivity 2 average S/m
C1S_m_sdevConductivity 2 standard of deviation S/m
C1S_m_minConductivity 2 minimum S/m
C1S_m_maxConductivity 2 maximum S/m
Sbeox0V_avgOxygen Voltage SBE 43 average volts
Sbeox0V_sdevOxygen Voltage SBE 43 standard of deviation volts
Sbeox0V_minOxygen Voltage SBE 43 minimum volts
Sbeox0V_maxOxygen Voltage SBE 43 maximum volts
Sbeox0ML_L_avgOxygen SBE 43 average ml/l
Sbeox0ML_L_sdevOxygen SBE 43 standard of deviation ml/l
Sbeox0ML_L_minOxygen SBE 43 minimum ml/l
Sbeox0ML_L_maxOxygen SBE 43 maximum ml/l
Xmiss_avgBeam Transmission Chelsea/Seatech/Wetlab CStar average percentage
Xmiss_sdevBeam Transmission Chelsea/Seatech/Wetlab CStar standard of deviation percentage
Xmiss_minBeam Transmission Chelsea/Seatech/Wetlab CStar minimum percentage
Xmiss_maxBeam Transmission Chelsea/Seatech/Wetlab CStar maximum percentage
Density00_avgDensity average Kg/m^3
Density00_sdevDensity standard of deviation Kg/m^3
Density00_minDensity minimum Kg/m^3
Density00_maxDensity maximum Kg/m^3
Potemp090C_avgPotential Temperature ITS-90 average degrees Celsius
Potemp090C_sdevPotential Temperature ITS-90 standard of deviation degrees Celsius
Potemp090C_minPotential Temperature ITS-90 minimum degrees Celsius
Potemp090C_maxPotential Temperature ITS-90 maximum degrees Celsius
FlECO_minus_AFL_avgFluorescence Wetlab ECO-AFL/FL average mg/m^3
FlECO_minus_AFL_sdevFluorescence Wetlab ECO-AFL/FL standard of deviation mg/m^3
FlECO_minus_AFL_minFluorescence Wetlab ECO-AFL/FL minimum mg/m^3
FlECO_minus_AFL_maxFluorescence Wetlab ECO-AFL/FL maximum mg/m^3
Upoly0_avgUpoly 0 WetLabs Turbidity average tbd
Upoly0_sdevUpoly 0 WetLabs Turbidity standard of deviation tbd
Upoly0_minUpoly 0 WetLabs Turbidity minimum tbd
Upoly0_maxUpoly 0 WetLabs Turbidity maximum tbd
AltM_avgAltimeter average meters
AltM_sdevAltimeter standard of deviation meters
AltM_minAltimeter minimum meters
AltM_maxAltimeter maximum meters
Scan_avgScan average integer
Scan_sdevScan standard of deviation integer
Scan_minScan minimum integer
Scan_maxScan maximum integer


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Instruments

Dataset-specific Instrument Name
Niskin bottle
Generic Instrument Name
Niskin bottle
Generic Instrument Description
A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.

Dataset-specific Instrument Name
CTD Sea-Bird SBE 911plus
Generic Instrument Name
CTD Sea-Bird SBE 911plus
Generic Instrument Description
The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics


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Deployments

OC449-03

Website
Platform
R/V Oceanus
Start Date
2008-09-08
End Date
2008-09-18
Description
R/V Oceanus Voyage #449, Leg III was a Coastal transect between Cape Verde and the Mauritanian coast (17N/24.5W to 20N/17.3W). The main scientific objective was to test the hypothesis that the continental margin of northwest Africa provides a significant subsurface supply of iron to the open eastern tropical Atlantic. The planned scientific activities include CTD casts, In Situ Water Pump casts for large volume water collection, Gravity Coring, and Aerosol sampling. Scientific personnel: Dr. Phoebe Lam, Chief Scientist, Woods Hole Oceanographic Institution Dr. Henrieta Dulaiova, Woods Hole Oceanographic Institution Mr. Steven Pike, Woods Hole Oceanographic Institution Mr. James Saenz, Woods Hole Oceanographic Institution Dr. Aron Stubbins, Old Dominion University Ms. Hongmei Chen, Old Dominion University Dr. Edward Michael Perdue, Georgia Institute of Technology Mr. Nelson Green, Georgia Institute of Technology Mr. Péricles Silva, Instituto Nacional de Desenvolvimento das Pescas (INDP) Dr. Anibal Medina, Instituto Nacional de Desenvolvimento das Pescas (INDP) Mr. Alexander Dorsk, Woods Hole Oceanographic Institution WHOI cruise planning synopsis> Cruise information and original data are available from the NSF R2R data catalog.


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Project Information

Sources of Iron to the EasterN tropical Atlantic (SIRENA)


Coverage: Tropical North Atlantic, focusing on a Cape Verde to Mauritanian Coast transect


We will test the hypothesis that the continental margin of northwest Africa provides a significant subsurface supply of iron to the open eastern tropical Atlantic that supplements dust.

We will test our continental margin hypothesis with a wintertime visit to the new Tropical Eastern North Atlantic Time-Series Observatory (TENATSO) near Cape Verde, located in the eastern tropical Atlantic about 850 km downstream of Mauritanian coastal upwelling, and a summertime cross-shelf transect from the Mauritanian coast to TENATSO with Ed Boyle, who is already funded to study iron in the tropical Atlantic. Our cross-shelf transect will closely examine the potential lateral source of Fe, and evaluate it against an atmospheric source of Fe. Our proposal takes advantage of a novel combination of measurements to uniquely determine the importance of lateral transport vs. dust inputs and subsurface remineralization as Fe sources to the surface ocean. These measurements include:

1) synchrotron x-ray analysis of particulate iron "hotspots": micron-size particles of iron detected with a synchrotron x-ray fluorescence microprobe have been previously shown to exhibit maxima at depths of continental margin input in two ocean basins. Further, the Ti:Fe ratios and the mineralogy of these particles of iron can distinguish dust-derived vs. continental margin iron. This is a qualitative tracer for a dust vs continental margin source of Fe.

2) radium isotopes: the major source of 228Ra into the study area is by diffusion from 232Th-bearing near shore and continental shelf sediments. An open-ocean to coastal transect of 228Ra activities will allow us to determine horizontal mass transfer. 228Ra will be used to quantify the lateral flux of iron from the shelf.

3) 234Th profiles: high vertical resolution 234Th profiles can be used to determine the depth of particle remineralization. This will be used to determine whether or not putative subsurface Fe maxima are from remineralization of Fe-bearing particles.

TENATSO (Tropical Eastern North Atlantic Time-Series Observatory) time series station
16°N, 24°W, North-east of Mindelo, Sao Vicente, Cape Verde

TENATSO Home

TENATSO/SIRENA at Cafe Thorium/WHOI



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Program Information

Ocean Carbon and Biogeochemistry (OCB)


Coverage: Global


The Ocean Carbon and Biogeochemistry (OCB) program focuses on the ocean's role as a component of the global Earth system, bringing together research in geochemistry, ocean physics, and ecology that inform on and advance our understanding of ocean biogeochemistry. The overall program goals are to promote, plan, and coordinate collaborative, multidisciplinary research opportunities within the U.S. research community and with international partners. Important OCB-related activities currently include: the Ocean Carbon and Climate Change (OCCC) and the North American Carbon Program (NACP); U.S. contributions to IMBER, SOLAS, CARBOOCEAN; and numerous U.S. single-investigator and medium-size research projects funded by U.S. federal agencies including NASA, NOAA, and NSF.

The scientific mission of OCB is to study the evolving role of the ocean in the global carbon cycle, in the face of environmental variability and change through studies of marine biogeochemical cycles and associated ecosystems.

The overarching OCB science themes include improved understanding and prediction of: 1) oceanic uptake and release of atmospheric CO2 and other greenhouse gases and 2) environmental sensitivities of biogeochemical cycles, marine ecosystems, and interactions between the two.

The OCB Research Priorities (updated January 2012) include: ocean acidification; terrestrial/coastal carbon fluxes and exchanges; climate sensitivities of and change in ecosystem structure and associated impacts on biogeochemical cycles; mesopelagic ecological and biogeochemical interactions; benthic-pelagic feedbacks on biogeochemical cycles; ocean carbon uptake and storage; and expanding low-oxygen conditions in the coastal and open oceans.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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