CTD profiles for OC449-03 from R/V Oceanus cruise OC449-03 in the Coastal transect between Cape Verde and Mauritanian coast from 2008 to 2008 (SIRENA project)

Website: https://www.bco-dmo.org/dataset/3469
Version: 18 May 2011
Version Date: 2011-05-18

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 profile data for OC449-03  Up/Down Casts

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_001.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 08 2008 20:13:41
* NMEA Latitude = 17 23.63 N
* NMEA Longitude = 024 30.16 W
* NMEA UTC (Time) = Sep 08 2008  20:13:39
* Store Lat/Lon Data = Append to Every Scan
# nquan = 28
# nvalues = 1410                        
# units = specified
# name 0 = timeS: Time, Elapsed [seconds]
# name 1 = prDM: Pressure, Digiquartz [db]
# name 2 = depSM: Depth [salt water, m]
# name 3 = t090C: Temperature [ITS-90, deg C]
# name 4 = t190C: Temperature, 2 [ITS-90, deg C]
# name 5 = sal00: Salinity [PSU]
# name 6 = sal11: Salinity, 2 [PSU]
# name 7 = c0S/m: Conductivity [S/m]
# name 8 = c1S/m: Conductivity, 2 [S/m]
# name 9 = sbeox0V: Oxygen Voltage, SBE 43
# name 10 = sbeox0ML/L: Oxygen, SBE 43 [ml/l]
# name 11 = xmiss: Beam Transmission, Chelsea/Seatech/Wetlab CStar [%]
# name 12 = density00: Density [density, Kg/m^3]
# name 13 = potemp090C: Potential Temperature [ITS-90, deg C]
# name 14 = flECO-AFL: Fluorescence, Wetlab ECO-AFL/FL [mg/m^3]
# name 15 = upoly0: Upoly 0, WetLabs Turbidity
# name 16 = altM: Altimeter [m]
# name 17 = density00: Density [density, Kg/m^3]
# name 18 = n2satML/L: Nitrogen Saturation [ml/l]
# name 19 = oxsatML/L: Oxygen Saturation [ml/l]
# name 20 = sbeox0ML/L: Oxygen, SBE 43 [ml/l], WS = 2
# name 21 = potemp090C: Potential Temperature [ITS-90, deg C]
# name 22 = pta090C: Potential Temperature Anomaly [ITS-90, deg C], a0 = 0, a1 = 0, salinity
# name 23 = sal00: Salinity [PSU]
# name 24 = specc: Specific Conductance [uS/cm]
# name 25 = sva: Specific Volume Anomaly [10^-8 * m^3/Kg]
# name 26 = tsa: Thermosteric Anomaly [10^-8 * m^3/Kg]
# name 27 = flag: flag
# span 0 =     23.405,   2569.116       
# span 1 =      2.000,    707.000       
# span 2 =      1.985,    701.589       
# span 3 =     7.7612,    27.6712       
# span 4 =     7.7608,    27.6938       
# span 5 =    34.9570,    36.6071       
# span 6 =    34.9590,    36.6155       
# span 7 =   3.626457,   5.771784       
# span 8 =   3.626659,   5.774208       
# span 9 =     1.0208,     3.0432       
# span 10 =    1.35904,    5.02562      
# span 11 =    95.7500,    98.8836      
# span 12 =  1023.4971,  1030.4829      
# span 13 =     7.6887,    27.6701      
# span 14 =     0.0041,     1.1170      
# span 15 =  0.0293903,  0.0768421      
# span 16 =      43.04,     101.61      
# span 17 =  1023.4971,  1030.4829      
# span 18 =    8.37490,   11.93137      
# span 19 =    4.48666,    6.64550      
# span 20 =    1.36085,    5.00431      
# span 21 =     7.6887,    27.6703      
# span 22 =     7.6887,    27.6703      
# span 23 =    34.9562,    36.6008      
# span 24 =  54744.414,  55468.490      
# span 25 =     90.827,    439.837      
# span 26 =     78.871,    439.874      
# span 27 = 0.0000e+00, 0.0000e+00      
# interval = decibars: 1                
# start_time = Sep 08 2008 20:13:41
# bad_flag = -9.990e-29
# 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 08 2008 22:58:19, 7.15
# datcnv_in = c:ctd_processingoc449-03_001.hex c:ctd_processingoc449-03_001.con
# datcnv_skipover = 0
# wildedit_date = Sep 08 2008 22:58:26, 7.15
# wildedit_in = c:ctd_processingoc449-03_001.cnv
# wildedit_pass1_nstd = 2.0
# wildedit_pass2_nstd = 20.0
# wildedit_pass2_mindelta = 1.000e+000
# wildedit_npoint = 100
# wildedit_vars = prDM depSM t090C t190C sal00 sal11 c0S/m c1S/m sbeox0V sbeox0ML/L xmiss density00 potemp090C flECO-AFL upoly0 altM
# wildedit_excl_bad_scans = yes
# filter_date = Sep 08 2008 22:58:34, 7.15
# filter_in = c:ctd_processingoc449-03_001.cnv
# filter_low_pass_tc_A = 0.030
# filter_low_pass_tc_B = 0.100
# filter_low_pass_A_vars = depSM sal00 sal11 c0S/m c1S/m sbeox0V sbeox0ML/L xmiss density00 potemp090C flECO-AFL upoly0
# filter_low_pass_B_vars = prDM
# alignctd_date = Sep 08 2008 22:58:51, 7.15
# alignctd_in = c:ctd_processingoc449-03_001.cnv
# alignctd_adv = sbeox0V 4.000, sbeox0ML/L 4.000                                                                                                                                                                                     
# celltm_date = Sep 08 2008 22:59:00, 7.15
# celltm_in = c:ctd_processingoc449-03_001.cnv
# celltm_alpha = 0.0300, 0.0300
# celltm_tau = 7.0000, 7.0000
# celltm_temp_sensor_use_for_cond = primary, secondary
# loopedit_date = Sep 08 2008 22:59:08, 7.15
# loopedit_in = c:ctd_processingoc449-03_001.cnv
# loopedit_minVelocity = 0.100                                                                                            
# loopedit_surfaceSoak: do not remove                                                                                     
# loopedit_excl_bad_scans = yes
# Derive_date = Sep 08 2008 22:59:20, 7.15
# Derive_in = c:ctd_processingoc449-03_001.cnv c:ctd_processingoc449-03_001.con
# derive_time_window_docdt = seconds: 2
# binavg_date = Sep 08 2008 22:59:32, 7.15
# binavg_in = c:ctd_processingoc449-03_001.cnv
# binavg_bintype = decibars
# binavg_binsize = 1
# binavg_excl_bad_scans = yes
# binavg_skipover = 0
# binavg_surface_bin = no, min = 0.000, max = 0.000, value = 0.000
# file_type = ascii
*END*
 

Data Processing Description

BCO-DMO Processing Notes
- Awk written to reformat original .cnv files contributed by Phoebe Lam
- AWK: OC449-03_CTDcnv_2_BCODMO.awk
 

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Data Files

File
CTDprf_OC449_03.csv
(Comma Separated Values (.csv), 7.94 MB)
MD5:9e010a0fe5eb69d389e96e9663c65357
Primary data file for dataset ID 3469

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Parameters

ParameterDescriptionUnits
CTD_DataSet_IdCTD Dataset Id text
dateStation date YYYYMMDD
timeStation time HHMMSS
latStation latitude (South is negative) decimal degrees
lonStation longitude (West is negative) decimal degrees
timeSTime Elapsed seconds
prDMPressure Digiquartz decibars
depSMDepth salt water meters
t090CTemperature ITS-90 deg C
t190CTemperature 2 ITS-90 deg C
sal00Salinity PSU
sal11Salinity 2 PSU
c0S_mConductivity S/m
c1S_mConductivity 2 S/m
sbeox0VOxygen Voltage SBE 43 volts
sbeox0ML_LOxygen SBE 43 ml/l
xmissBeam Transmission Chelsea/Seatech/Wetlab CStar percentage
density00Density Kg/m^3
potemp090CPotential Temperature ITS-90 deg C
flECO_AFLFluorescence Wetlab ECO-AFL/FL mg/m^3
upoly0Upoly 0 WetLabs Turbidity tbd
altMAltimeter meters
density01Density Kg/m^3
n2satML_LNitrogen Saturation ml/l
oxsatML_LOxygen Saturation ml/l
sbeox1ML_LOxygen SBE 43 WS 2 ml/l
potemp190CPotential Temperature ITS-90 deg C
pta090CPotential Temperature Anomaly ITS-90; a0_0; a1_0; salinity deg C
sal00_0Salinity PSU
speccSpecific Conductance uS/cm
svaSpecific Volume Anomaly 10^-8 * m^3/Kg
tsaThermosteric Anomaly 10^-8 * m^3/Kg
flagflag nd
castcast id/number integer
stationstation id/number integer


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Instruments

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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