Profiles of dissolved iron-binding ligands and their conditional stability constants from R/V Knorr KN199-04, KN204-01, subtropical North Atlantic Ocean, 2010-2011 (U.S. GEOTRACES NAT project)

Website: https://www.bco-dmo.org/dataset/3844
Data Type: Cruise Results
Version: 6
Version Date: 2016-12-08

Project
» U.S. GEOTRACES North Atlantic Transect (GA03) (U.S. GEOTRACES NAT)

Program
» U.S. GEOTRACES (U.S. GEOTRACES)
ContributorsAffiliationRole
Buck, KristenBermuda Institute of Ocean Sciences (BIOS)Principal Investigator
Copley, NancyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Dataset Description

Concentrations of dissolved iron-binding ligands and their respective conditional stability constants in water column samples from full depth stations occupied during the first leg (KN199-4) of the U.S. GEOTRACES North Atlantic zonal transect cruises on the R/V Knorr in 2010.

The FISH and BOTTLE data have been split into separate columns as per GEOTRACES Parameter Naming Conventions. The FISH data are to the far right.

Versions:

version 6, 2016-12-08: separate columns for Fish and Bottle samples; quality flags added.
version 5, 19 Nov. 2014: Added L3 data.
version 4, 14 April 2014: Revised values for KN204-1 measurements.
version 3, 26 June 2013: KN199-04 station 7 values corrected.
version 2, 10 June 2013: KN199-04 data updated, KN204-01 data added.
version 1, 31 Dec. 2012: Initial data submitted.


Methods & Sampling

Sample collection and filtering: Water column samples were collected by the U.S. GEOTRACES sampling team from 24 modified 12 L Teflon-lined GoFlo samplers (General Oceanics) deployed on the GEOTRACES clean CTD rosette system. The U.S. GEOTRACES sampling team filtered the samples through 0.2 µm Supor Acropak filter cartridges (Pall) inside the U.S. GEOTRACES clean-air laboratory van. Near-surface samples (~2 m depth) were collected underway either on approach or leaving each station using the Ken Bruland lab towfish (“GeoFish”) deployed to collect surface samples from outside the wake of the ship. Seawater from the towfish was pumped directly into the Bruland lab clean air laboratory van and filtered through 0.2 µm Supor Acropak filter cartridges. Filtered seawater samples for Fe speciation (organic complexation) analyses were collected in 500 mL acid-cleaned Nalgene narrow-mouth fluorinated high-density polyethylene bottles that were conditioned with a Milli-Q fill for at least two weeks, and rinsed three times with filtered sample prior to sample collection. All filtered seawater samples for dissolved iron speciation from leg 1 were provided directly to the PI (Buck), who either analyzed the sample shipboard or froze the sample at -20 ºC for laboratory-based analyses post cruise.

Dissolved iron speciation (organic complexation) analyses: Dissolved Fe speciation (organic complexation) was analyzed using a competitive ligand exchange- adsorptive cathodic stripping voltammetry (CLE-ACSV) method with salicylaldoxime as the added competing ligand (Buck et al. 2007, 2010, 2012), modified from the original Rue and Bruland (1995) method. Dissolved Fe additions of 0 to 7.5 nM were used in the titrations, for a total of at least 10 points in each titration. Deposition times of 90 to 120 s were applied to the analyses. All analyses were performed on Bioanalytical Systems (BASi) Controlled Growth Mercury Electrodes (static mercury drop setting, size 14) with Epsilon e2 (BASi) electrochemical analyzers. There are no reference samples available for iron speciation/ organic complexation measurements of iron in seawater, though this method was shown to compare well with other labs and techniques in the GEOTRACES intercalibration exercises (Buck et al. 2012, 2016).


Data Processing Description

Dissolved iron (DFe) concentrations determined by flow injection analysis (FIA) in Peter Sedwick’s lab at Old Dominion University were used in the data interpretation to calculate ligand concentrations and conditional stability constants from the sample titrations. The DFe values used for this dataset are provided in the speciation submission for reference, please see Sedwick et al. (2015) for the complete dissolved iron data and methods.

Titration data was interpreted with a combination of Scatchard (Scatchard 1949) and van den Berg-Ruzic (Ruzic 1982; van den Berg 1982) linearization techniques, as has been described previously (Buck et al. 2012, 2015, 2016). An inorganic side reaction coefficient, aFe¢, of 1010 was used in the iron speciation calculations (Buck et al. 2012). Ligand concentrations and conditional stability constants determined from each linearization of a titration dataset were then combined for a final ligand concentration and conditional stability constant for each sample. When available, results from replicate titration analyses were averaged together and the average with standard deviations of all sample titrations were then reported for each parameter in the spreadsheet.

The detection limit for the electroactive Fe-SA complex has been found to be 0.01 nM (Buck et al. 2007), calculated as three times the standard deviation of measured peak height from a 0.05 nM Fe addition to UV-oxidized and chelexed seawater with a 900 s deposition time. For a 90 s deposition time, the detection limit for Fe-SA is ~0.1 nM. Two stations from the US GTNA cruises (2010-Stn5 and 2010-Stn 9) were analyzed in triplicate complete titrations, typically two conducted shipboard and one in the laboratory after storing frozen (-20 ºC). Over the full water column from both stations, the average standard deviation from the triplicate titrations of each sample was 0.11 nM (n = 36 samples, 108 titrations), and three times this standard deviation estimates a detection limit for ligand concentrations of 0.33 nM. For log K1 values of this ligand class, from the same profiles, the average standard deviation was 0.15 (log units).

Related files and references: 

Buck, K. N., L. J. A. Gerringa, and M. J. A. Rijkenberg. 2016. An intercomparison of dissolved iron speciation at the Bermuda Atlantic Time-series Station (BATS): Results from the GEOTRACES Crossover Station A. Frontiers in Marine Biogeochemistry 3: article 262.

Buck, K. N., M. C. Lohan, C. J. M. Berger, and K. W. Bruland. 2007. Dissolved iron speciation in two distinct river plumes and an estuary: Implications for riverine iron supply. Limnology and Oceanography 52: 843-855.

Buck, K. N., K. E. Selph, and K. A. Barbeau. 2010. Iron-binding ligand production and copper speciation in an incubation experiment of Antarctic Peninsula shelf waters from the Bransfield Strait, Southern Ocean. Marine Chemistry 122: 148-159.

Buck, K. N., J. W. Moffett, K. A. Barbeau, R. M. Bundy, Y. Kondo, and J. Wu. 2012. The organic complexation of iron and copper: an intercomparison of competitive ligand exchange- adsorptive cathodic stripping voltammetry (CLE-ACSV) techniques. Limnology and Oceanography: Methods 10: 496-515.

Buck, K. N., B. Sohst, and P. N. Sedwick. 2015. The organic complexation of dissolved iron along the U.S. GEOTRACES (GA03) North Atlantic Section. Deep-Sea Research 116: 152-165.

Rue, E. L., and K. W. Bruland. 1995. Complexation of iron(III) by natural organic ligands in the Central North Pacific as determined by a new competitive ligand equilibration adsorptive cathodic stripping voltammetric method. Marine Chemistry 50: 117-138.

Ružić, I. 1982. Theoretical aspects of the direct titration of natural waters and its information yield for trace metal speciation. Analytica Chimica Acta 140: 99-113.

Scatchard, G. 1949. The attractions of proteins for small molecules and ions. Annals of the New York Academy of Sciences 51: 660-672.

Sedwick, P. N., B. M. Sohst, S. J. Ussher, and A. R. Bowie. 2015. A zonal picture of the water column distribution of dissolved iron(II) during the U.S. GEOTRACES North Atlantic transect cruise (GEOTRACES GA03). Deep-Sea Research II 116: 166-175.

van den Berg, C. M. G. 1982. Determination of copper complexation with natural organic ligands in sea water by equilibrium with MnO2: I. Theory. Marine Chemistry 11: 307-322.

 

FLAG: The standard Ocean Data View qualifying flags were used (reference all flags at https://www.bodc.ac.uk/data/codes_and_formats/odv_format/):

1: Good Value: Good quality data value that is not part of any identified malfunction and has been verified as consistent with real phenomena during the quality control process. [Used when data were shown to be reproducible]

2: Probably Good Value: Data value that is probably consistent with real phenomena but this is unconfirmed or data value forming part of a malfunction that is considered too small to affect the overall quality of the data object of which it is a part. [Used when the reported value reflects analysis of a single or unverified replicate]

3: Probably Bad Value: Data value recognized as unusual during quality control that forms part of a feature that is probably inconsistent with real phenomena. [Not used]

4: Bad Value: An obviously erroneous data value. [Not used]

5: Changed Value: Data value adjusted during quality control. [Not used]

6: Value Below Detection Limit: The level of the measured phenomenon was too small to be quantified by the technique employed to measure it. The accompanying value is the detection limit for the technique or zero if that value is unknown. [We report “not_detected” rather than zero or a detection limit value for this case]

7: Value in Excess: The level of the measured phenomenon was too large to be quantified by the technique employed to measure it. The accompanying value is the measurement limit for the technique. [Not used]

8: Interpolated Value: Tis value has been derived by interpoloation from other values in the data object. [Not used]

9: Missing Value: The data value is missing. Any accompanying value will be a magic number representing absent data. [Any missing data reflect samples that were not analyzed; “nd” = “no data” used for these parameters]

A: Value Phenomenon Uncertain: There is uncertainty in the description of the measured phenomenon associated with the value such as chemical species or biological entity. [Not used]

BCO-DMO Processing:
- added conventional header with dataset name, PI name, version date
- column names reformatted to comply with BCO-DMO or GEOTRACES standards
- joined submitted data with master event data: depth_GEOTRC_CTD, event_GEOTRC, instr, cast_GEOTRC, sample_GEOTRC, sample_bottle_GEOTRC, bottle_GEOTRC.
- changed 95%CI to stdev (standard deviation) in headers as per email 2016-12-007 from KB
- changed latitude and longitude for GeoFish samples from 'towfish position' to 'nd' (no data)
- converted longitude to negative degrees


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Data Files

File
Fe_spec_v6_fish_btl_joined.csv
(Comma Separated Values (.csv), 131.48 KB)
MD5:65235f5d91476909f6362ff314eb55e3
Primary data file for dataset ID 3844

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Parameters

ParameterDescriptionUnits
cruise_idOfficial cruise identifier e.g. KN199-04 = R/V Knorr cruise number 199-04. unitless
cruise_nameGEOTRACES cruise name unitless
station_GEOTRCGEOTRACES station number; ranges from 1 through 12 for KN199-04 and 1 through 24 for KN204-01. Stations 7 and 9 were skipped on KN204-01. PI-supplied values were identical to those in the intermediate US GEOTRACES master file. Originally submitted as 'STNNBR'; this parameter name has been changed to conform to BCO-DMO's GEOTRACES naming conventions. unitless
depth_GEOTRC_CTDsample collection depth below sea surface; . GeoFish sample assigned 2 m depth. Values were added from the intermediate US GEOTRACES master file (see Processing Description). meters
event_GEOTRCUnique identifying number for US GEOTRACES sampling events; ranges from 2001 to 2225 for KN199-04 events and from 3001 to 3282 for KN204-01 events. Values were added from the intermediate US GEOTRACES master file (see Processing Description). unitless
cast_GEOTRCCast identifier numbered consecutively within a station. Values were added from the intermediate US GEOTRACES master file (see Processing Description). unitless
latStation latitude; north is positive: position when sampling cast was started (2 m sample = underway sample collected typically on approach to station) decimal degrees
lonStation longitude; east is positive; position when sampling cast was started (2 m sample = underway sample collected typically on approach to station) decimal degrees
dateGMT date when rosette cast was started; formatted as yyyymmdd year-month-day
BTL_ISO_DateTime_UTCDate and time (UTC) variable recorded at the bottle sampling time in ISO compliant format. Values were added from the intermediate US GEOTRACES master file (see Processing Description). This standard is based on ISO 8601:2004(E) and takes on the following form: 2009-08-30T14:05:00[.xx]Z (UTC time) year-month-day-hour-minute-second
instrUnique identifying number for US GEOTRACES instruments. Added by BCO-DMO from the intermediate US GEOTRACES NAT master file. unitless
sample_GEOTRCUnique identifying number for US GEOTRACES samples. PI-supplied values were identical to those in the intermediate US GEOTRACES NAT master file unitless
sample_bottle_GEOTRCUnique identification numbers given to samples taken from bottles; ranges from 1 to 24; often used synonymously with bottle number. Values were added from the intermediate US GEOTRACES master file (see Processing Description). unitless
bottle_GEOTRCAlphanumeric characters identifying bottle type (e.g. NIS representing Niskin and GF representing GOFLO) and position on a CTD rosette. Values were added from the intermediate US GEOTRACES master file (see Processing Description). unitless
STORAGEsample storage prior to analyses are noted as follows: 1 = sample not analyzed; these are noted also as nd" = "no data"; 2 = sample analyzed shipboard (not frozen); 3 = sample analyzed frozen (-20 ºC); 4 = sample analyzed both shipboard and again after freezing." unitless
N_TITRATIONSnumber of titrations performed for sample analyses titrations
Fe_D_CONC_BOTTLEDissolved iron (Fe) concentration value from bottle samples used in the speciation data interpretation. Peter Sedwick’s lab at Old Dominion University; contact Sedwick for additional information. nanomoles/liter (10^-9 M)
L1Fe_D_CONC_BOTTLEconcentration of dissolved iron-binding ligand from bottle samples with log K1 >= 12. "not_detected" used when this parameter was not determined in sample analyses. nanomoles/liter (10^-9 M)
L1_FLAGL1 quality flag unitless
L1_stdevstandard deviation of averaged results from replicate analyses; only available for samples with n>1 titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses. nanomoles/liter (10^-9 M)
L1Fe_D_LogK_BOTTLElog conditional stability constant from bottle samples of L1 complexes with iron (logK^cond FeL1.Fe'). "not_detected" used when this parameter was not determined in sample analyses. No units; K1 has units of M-1
log_K1_FLAGlog K1 quality flag unitless
log_K1_stdevstandard deviation of averaged results from replicate analyses; only available for samples with n>1 titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses. No units; K1 has units of M-1
L2Fe_D_CONC_BOTTLEconcentration of dissolved iron-binding ligand with log K2 = 11-12 from bottle samples. "not_detected" used when this parameter was not determined in sample analyses. nanomoles/liter (10^-9 M)
L2_FLAGL2 quality flag unitless
L2_stdevstandard deviation of averaged results from replicate analyses; only available for samples with n>1 titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses. nanomoles/liter (10^-9 M)
L2Fe_D_LogK_BOTTLElog conditional stability constant of L2 complexes with iron (logK^cond FeL2.Fe') from bottle samples. "not_detected" used when this parameter was not determined in sample analyses. No units; K2 has units of M^-1
log_K2_FLAGlog K2 quality flag unitless
log_K2_stdevstandard deviation of averaged results from replicate analyses; only available for samples with n>1 titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses No units; K2 has units of M^-1
L3Fe_D_CONC_BOTTLEconcentration of dissolved iron-binding ligand with log K3 = 10-11 from bottle samples. "not_detected" used when this parameter was not determined in sample analyses. nanomoles/liter (10^-9 M)
L3_FLAGL3 quality flag unitless
L3_stdevstandard deviation of averaged results from replicate analyses; only available for samples with n>1 titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses. nanomoles/liter (10^-9 M)
L3Fe_D_LogK_BOTTLElog conditional stability constant of L3 complexes with iron (logK^cond FeL3.Fe') from bottle samples. "not_detected" used when this parameter was not determined in sample analyses. No units; K3 has units of M^-1
log_K3_FLAGlog K3 quality flag unitless
log_K3_stdevstandard deviation of averaged results from replicate titrations; only available for samples with replicate titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses. No units; K3 has units of M^-1
Fe_D_CONC_FISHDissolved iron (Fe) concentration value from bottle samples used in the speciation data interpretation. Peter Sedwick’s lab at Old Dominion University; contact Sedwick for additional information. nanomoles/liter (10^-9 M)
L1Fe_D_CONC_FISHconcentration of dissolved iron-binding ligand from bottle samples with log K1 >= 12. "not_detected" used when this parameter was not determined in sample analyses. nanomoles/liter (10^-9 M)
L1_FLAG_FISHL1 quality flag unitless
L1_stdev_FISHstandard deviation of averaged results from replicate analyses; only available for samples with n>1 titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses. nanomoles/liter (10^-9 M)
L1Fe_D_LogK_FISHlog conditional stability constant from bottle samples of L1 complexes with iron (logK^cond FeL1.Fe'). "not_detected" used when this parameter was not determined in sample analyses. No units; K1 has units of M-1
log_K1_FLAG_FISHlog K1 quality flag unitless
log_K1_stdev_FISHstandard deviation of averaged results from replicate analyses; only available for samples with n>1 titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses. No units; K1 has units of M-1
L2Fe_D_CONC_FISHconcentration of dissolved iron-binding ligand with log K2 = 11-12 from bottle samples. "not_detected" used when this parameter was not determined in sample analyses. nanomoles/liter (10^-9 M)
L2_FLAG_FISHL2 quality flag unitless
L2_stdev_FISHstandard deviation of averaged results from replicate analyses; only available for samples with n>1 titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses. nanomoles/liter (10^-9 M)
L2Fe_D_LogK_FISHlog conditional stability constant of L2 complexes with iron (logK^cond FeL2.Fe') from bottle samples. "not_detected" used when this parameter was not determined in sample analyses. No units; K2 has units of M^-1
log_K2_FLAG_FISHlog K2 quality flag unitless
log_K2_stdev_FISHstandard deviation of averaged results from replicate analyses; only available for samples with n>1 titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses No units; K2 has units of M^-1
L3Fe_D_CONC_FISHconcentration of dissolved iron-binding ligand with log K3 = 10-11 from bottle samples. "not_detected" used when this parameter was not determined in sample analyses. nanomoles/liter (10^-9 M)
L3_FLAG_FISHL3 quality flag unitless
L3_stdev_FISHstandard deviation of averaged results from replicate analyses; only available for samples with n>1 titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses. nanomoles/liter (10^-9 M)
L3Fe_D_LogK_FISHlog conditional stability constant of L3 complexes with iron (logK^cond FeL3.Fe') from bottle samples. "not_detected" used when this parameter was not determined in sample analyses. No units; K3 has units of M^-1
log_K3_FLAG_FISHlog K3 quality flag unitless
log_K3_stdev_FISHstandard deviation of averaged results from replicate titrations; only available for samples with replicate titrations. "nd = no data" used when standard deviations were not available either because of single replicate sample analyses or this ligand classes was not detected in the analyses. No units; K3 has units of M^-1


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Instruments

Dataset-specific Instrument Name
GO-FLO Teflon Trace Metal
Generic Instrument Name
GO-FLO Teflon Trace Metal Bottle
Dataset-specific Description
24 modified 12 L Teflon-lined GoFlo samplers (General Oceanics)
Generic Instrument Description
GO-FLO Teflon-lined Trace Metal free sampling bottles are used for collecting water samples for trace metal, nutrient and pigment analysis. The GO-FLO sampling bottle is designed specifically to avoid sample contamination at the surface, internal spring contamination, loss of sample on deck (internal seals), and exchange of water from different depths.

Dataset-specific Instrument Name
GeoFish
Generic Instrument Name
GeoFish Towed near-Surface Sampler
Generic Instrument Description
The GeoFish towed sampler is a custom designed near surface (

Dataset-specific Instrument Name
Autoanalyzer BASi EC-epsilon 2
Generic Instrument Name
BASi EC-epsilon 2 Autoanalyzer
Dataset-specific Description
All analyses were performed on Bioanalytical Systems (BASi) Controlled Growth Mercury Electrodes (static mercury drop setting, size 14) with Epsilon 2 (BASi) electrochemical analyzers.
Generic Instrument Description
The Bioanalytical Systems EC epsilon is a family of potentiostat/galvanostats for electrochemistry. The most basic epsilon instrument can be used for standard techniques, as well as chronopotentiometry for materials characterization (e.g., characterization of transition metal complexes by cyclic voltammetry and controlled potential electrolysis, or of biosensors by cyclic voltammetry and constant potential amperometry). Pulse, square wave, and stripping techniques can be added by a software upgrade, and a second channel can be added by a hardware upgrade. http://www.basinc.com/products/ec/epsilon/

Dataset-specific Instrument Name
BASi Controlled Growth Mercury Electrode
Generic Instrument Name
BASi Controlled Growth Mercury Electrode
Dataset-specific Description
Controlled Growth Mercury Electrodes on Static Mercury Drop Electrode (SMDE) setting, size 14.
Generic Instrument Description
Bioanalytical Systems (BASi) Mercury drop electrodes are generated by the BASi Controlled Growth Mercury Electrode (CGME) in three modes: DME (Dropping Mercury Electrode) - mercury is allowed to flow freely from the reservoir down the capillary and so the growth of the mercury drop and its lifetime is controlled by gravity. (The optional 100 um capillary is recommended for this mode.) SMDE (Static Mercury Drop Electrode) - the drop size is determined by the length of time for which the fast-response capillary valve is opened, and the drop is dislodged by a drop knocker. The dispense/knock timing is microprocessor-controlled and is typically coordinated with the potential pulse or square-wave waveform. This mode can also used to generate the Hanging Mercury Drop Electrode required for stripping experiments. CGME (Controlled Growth Mercury Electrode) - the mercury drop is grown by a series of pulses that open the capillary valve. The number of pulses, their duration, and their frequency can be varied by PC control, providing great flexibility in both the drop size and its rate of growth. This CGME mode can be used for both polarographic and stripping experiments. http://www.basinc.com/products/ec/cgme.php


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Deployments

KN199-04

Website
Platform
R/V Knorr
Report
Start Date
2010-10-15
End Date
2010-11-04
Description
This cruise constitutes the first survey section as part of the U.S. participation in an international program named GEOTRACES. Funding: NSF OCE award 0926423 Science Objectives: To obtain state of the art trace metal and isotope measurements on a suite of samples taken on a mid-latitude zonal transect of the North Atlantic. In particular, sampling targeted the oxygen minimum zone extending off the west African coast near Mauritania, the TAG hydrothermal field, and the western boundary current system along Line W. For additional information, please refer to the GEOTRACES program Web site (https://www.geotraces.org/) for overall program objectives and a summary of properties measured. Science Activities include seawater sampling via GoFLO and Niskin carousels, in situ pumping (and filtration), CTDO2 and transmissometer sensors, underway pumped sampling of surface waters, and collection of aerosols and rain. Hydrography, CTD and nutrient measurements were supported by the Ocean Data Facility (J. Swift) at Scripps Institution of Oceanography and funded through NSF Facilities. They provided an additional CTD rosette system along with nephelometer and LADCP. A trace metal clean Go-Flo Rosette and winch were provided by the group at Old Dominion University (G. Cutter) along with a towed underway pumping system. Additional cruise information is available from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/KN199-04 Other Relevant Links: List of cruise participants: [ PDF ] Cruise track: JPEG image (from Woods Hole Oceanographic Institution, vessel operator) ADCP data are available from the Currents ADCP group at the University of Hawaii: KN199-04 ADCP

KN204-01

Website
Platform
R/V Knorr
Report
Start Date
2011-11-06
End Date
2011-12-11
Description
The US GEOTRACES North Atlantic cruise aboard the R/V Knorr completed the section between Lisbon and Woods Hole that began in October 2010 but was rescheduled for November-December 2011. The R/V Knorr made a brief stop in Bermuda to exchange samples and personnel before continuing across the basin. Scientists disembarked in Praia, Cape Verde, on 11 December. The cruise was identified as KN204-01A (first part before Bermuda) and KN204-01B (after the Bermuda stop). However, the official deployment name for this cruise is KN204-01 and includes both part A and B. Science activities included: ODF 30 liter rosette CTD casts, ODU Trace metal rosette CTD casts, McLane particulate pump casts, underway sampling with towed fish and sampling from the shipboard "uncontaminated" flow-through system. Full depth stations are shown in the accompanying figure (see below). Additional stations to sample for selected trace metals to a depth of 1000 m are not shown. Standard stations are shown in red (as are the ports) and "super" stations, with extra casts to provide large-volume samples for selected parameters, are shown in green. Station spacing is concentrated along the western margin to evaluate the transport of trace elements and isotopes by western boundary currents. Stations across the gyre will allow scientists to examine trace element supply by Saharan dust, while also contrasting trace element and isotope distributions in the oligotrophic gyre with conditions near biologically productive ocean margins, both in the west, to be sampled now, and within the eastern boundary upwelling system off Mauritania, sampled last year. Funding: The cruise was funded by NSF OCE awards 0926204, 0926433 and 0926659. Additional cruise information is available from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/KN204-01 Other Relevant Links: ADCP data are available from the Currents ADCP group at the University of Hawaii at the links below:KN204-01A (part 1 of 2011 cruise; Woods Hole, MA to Bermuda)KN204-01B (part 2 of 2011 cruise; Bermuda to Cape Verde)


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Project Information

U.S. GEOTRACES North Atlantic Transect (GA03) (U.S. GEOTRACES NAT)


Coverage: Subtropical western and eastern North Atlantic Ocean (GA03)


Much of this text appeared in an article published in OCB News, October 2008, by the OCB Project Office.

The first U.S. GEOTRACES Atlantic Section will be specifically centered around a sampling cruise to be carried out in the North Atlantic in 2010. Ed Boyle (MIT) and Bill Jenkins (WHOI) organized a three-day planning workshop that was held September 22-24, 2008 at the Woods Hole Oceanographic Institution. The main goal of the workshop, sponsored by the National Science Foundation and the U.S. GEOTRACES Scientific Steering Committee, was to design the implementation plan for the first U.S. GEOTRACES Atlantic Section. The primary cruise design motivation was to improve knowledge of the sources, sinks and internal cycling of Trace Elements and their Isotopes (TEIs) by studying their distributions along a section in the North Atlantic (Figure 1). The North Atlantic has the full suite of processes that affect TEIs, including strong meridional advection, boundary scavenging and source effects, aeolian deposition, and the salty Mediterranean Outflow. The North Atlantic is particularly important as it lies at the "origin" of the global Meridional Overturning Circulation.

It is well understood that many trace metals play important roles in biogeochemical processes and the carbon cycle, yet very little is known about their large-scale distributions and the regional scale processes that affect them. Recent advances in sampling and analytical techniques, along with advances in our understanding of their roles in enzymatic and catalytic processes in the open ocean provide a natural opportunity to make substantial advances in our understanding of these important elements. Moreover, we are motivated by the prospect of global change and the need to understand the present and future workings of the ocean's biogeochemistry. The GEOTRACES strategy is to measure a broad suite of TEIs to constrain the critical biogeochemical processes that influence their distributions. In addition to these "exotic" substances, more traditional properties, including macronutrients (at micromolar and nanomolar levels), CTD, bio-optical parameters, and carbon system characteristics will be measured. The cruise starts at Line W, a repeat hydrographic section southeast of Cape Cod, extends to Bermuda and subsequently through the North Atlantic oligotrophic subtropical gyre, then transects into the African coast in the northern limb of the coastal upwelling region. From there, the cruise goes northward into the Mediterranean outflow. The station locations shown on the map are for the "fulldepth TEI" stations, and constitute approximately half of the stations to be ultimately occupied.

Figure 1. The proposed 2010 Atlantic GEOTRACES cruise track plotted on dissolved oxygen at 400 m depth. Data from the World Ocean Atlas (Levitus et al., 2005) were plotted using Ocean Data View (courtesy Reiner Schlitzer). [click on the image to view a larger version]

Hydrography, CTD and nutrient measurements will be supported by the Ocean Data Facility (J. Swift) at Scripps Institution of Oceanography and funded through NSF Facilities. They will be providing an additional CTD rosette system along with nephelometer and LADCP. A trace metal clean Go-Flo Rosette and winch will be provided by the group at Old Dominion University (G. Cutter) along with a towed underway pumping system.

The North Atlantic Transect cruise began in 2010 with KN199 leg 4 (station sampling) and leg 5 (underway sampling only) (Figure 2).

KN199-04 Cruise Report (PDF)

Figure 2. The red line shows the cruise track for the first leg of the US Geotraces North Atlantic Transect on the R/V Knorr in October 2010.  The rest of the stations (beginning with 13) will be completed in October-December 2011 on the R/V Knorr (courtesy of Bill Jenkins, Chief Scientist, GNAT first leg). [click on the image to view a larger version]
Atlantic Transect Station location map

The section completion effort resumed again in November 2011 with KN204-01A,B (Figure 3).

KN204-01A,B Cruise Report (PDF)

Figure 3. Station locations occupied on the US Geotraces North Atlantic Transect on the R/V Knorr in November 2011.  [click on the image to view a larger version]
Atlantic Transect/Part 2 Station location map

Data from the North Atlantic Transect cruises are available under the Datasets heading below, and consensus values for the SAFe and North Atlantic GEOTRACES Reference Seawater Samples are available from the GEOTRACES Program Office: Standards and Reference Materials

ADCP data are available from the Currents ADCP group at the University of Hawaii at the links below:
KN199-04   (leg 1 of 2010 cruise; Lisbon to Cape Verde)
KN199-05   (leg 2 of 2010 cruise; Cape Verde to Charleston, NC)
KN204-01A (part 1 of 2011 cruise; Woods Hole, MA to Bermuda)
KN204-01B (part 2 of 2011 cruise; Bermuda to Cape Verde)



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Program Information

U.S. GEOTRACES (U.S. GEOTRACES)


Coverage: Global


GEOTRACES is a SCOR sponsored program; and funding for program infrastructure development is provided by the U.S. National Science Foundation.

GEOTRACES gained momentum following a special symposium, S02: Biogeochemical cycling of trace elements and isotopes in the ocean and applications to constrain contemporary marine processes (GEOSECS II), at a 2003 Goldschmidt meeting convened in Japan. The GEOSECS II acronym referred to the Geochemical Ocean Section Studies To determine full water column distributions of selected trace elements and isotopes, including their concentration, chemical speciation, and physical form, along a sufficient number of sections in each ocean basin to establish the principal relationships between these distributions and with more traditional hydrographic parameters;

* To evaluate the sources, sinks, and internal cycling of these species and thereby characterize more completely the physical, chemical and biological processes regulating their distributions, and the sensitivity of these processes to global change; and

* To understand the processes that control the concentrations of geochemical species used for proxies of the past environment, both in the water column and in the substrates that reflect the water column.

GEOTRACES will be global in scope, consisting of ocean sections complemented by regional process studies. Sections and process studies will combine fieldwork, laboratory experiments and modelling. Beyond realizing the scientific objectives identified above, a natural outcome of this work will be to build a community of marine scientists who understand the processes regulating trace element cycles sufficiently well to exploit this knowledge reliably in future interdisciplinary studies.

Expand "Projects" below for information about and data resulting from individual US GEOTRACES research projects.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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