Bottle sample data and water processing samples from CTD casts from the first cruise of SPIROPA project, R/V Neil Armstrong cruise AR29, to the New England Shelfbreak in April 2018.

Website: https://www.bco-dmo.org/dataset/863240
Data Type: Cruise Results
Version: 2
Version Date: 2022-06-08

Project
» Collaborative Research: Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications (SPIROPA)
ContributorsAffiliationRole
McGillicuddy, Dennis J.Woods Hole Oceanographic Institution (WHOI)Principal Investigator, Contact
Petitpas, ChristianMassachusetts Division of Marine FisheriesCo-Principal Investigator
Smith, Walker O.Virginia Institute of Marine Science (VIMS)Co-Principal Investigator
Sosik, Heidi M.Woods Hole Oceanographic Institution (WHOI)Co-Principal Investigator
Stanley, RachelWellesley CollegeCo-Principal Investigator
Turner, JeffersonUniversity of Massachusetts Dartmouth (UMass Dartmouth)Co-Principal Investigator
Zhang, Weifeng GordonWoods Hole Oceanographic Institution (WHOI)Co-Principal Investigator
Kosnyrev, OlgaWoods Hole Oceanographic Institution (WHOI)Data Manager
Soenen, KarenWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Bottle sample data and water processing samples from CTD casts from the first cruise of SPIROPA project, R/V Neil Armstrong cruise AR29, to the New England Shelfbreak in April 2018.


Coverage

Spatial Extent: N:41.391 E:-70.0012 S:39.1242 W:-71.337
Temporal Extent: 2018-04-17 - 2018-04-29

Dataset Description

Cast numbers in version 1 are [29, 31:40]

Cast numbers in version 2 are: [1:11, 13:17, 19, 29:44, 56:70, 72:74, 76:102, 19, 111:126, 128:129,  131:132, 140:160, 162:167, 172:175]


Methods & Sampling

Location: New England Shelfbreak 40 S 71W depth : 0-2000m.

Twenty-four 10 L Niskin bottles fitted with Teflon-coated external closures were used for water column sampling. At each station, samples were typically collected at 12 discrete depths for assessment of nutrient concentrations. These samples were syringe-filtered and stored at -20°C  until analysis at the WHOI Nutrient Analytical Facility. Nitrate and silicate were measured using standard AutoAnalyzer techniques. To measure ammonium concentrations, site water was cartridge-filtered (0.1 µm, Pall Co.) directly from Niskin bottles using a peristaltic pump. Filtrate was collected in FalconTM tubes that were pre-treated with orthophthaldialdehyde (OPA) and measured on-board via the OPA method (Holmes et al., 1999) with a detection limit of 10 nM.

To measure particulate organic carbon and nitrogen, water was collected from the Niskin bottles and filtered through combusted 0.7 µm glass fiber filters (Whatman GF/F), rinsed with a weak acid (0.01 N HCl in seawater) to remove carbonates, then dried in combusted glass vials at 60 °C. Diatom biomass was assessed by sampling for biogenic silica. Samples were filtered through 0.6 µm polycarbonate filters, dried at 60°C in plastic Petri dishes, and dissolved in strong acid. 

For incubation-based primary productivity, water samples were taken from Niskin bottles at known isolumes, then placed in sterile 285 mL Qorpak bottles, then ~20 µCi NaH14CO3 was added. An on-deck incubator holding the bottles had surface seawater flowing through it, with irradiance attenuated by neutral density filters to the light levels at the isolumes sampled. Blue filters were used for isolumes below 30% Eo. After 24 h, samples were filtered through GFF filters and placed in 7 mL scintillation vials. Size fractionations were conducted at all stations using 20 µm Poretics filters on subsamples from each bottle. 100 µL 1N HCl was added to volatilize absorbed inorganic 14C. Ecolume (5 mL) was then added to each vial, and all vials were counted after 24 h on a liquid scintillation counter. Total activity was measured by counting 100 μL of non-acidified sample in β-phenethanylamine. 


Data Processing Description

CTD Sea-Bird Software:
* Data acquisition: SBE Seasave, version 7.23.2
* Data processing: SBE Data Processing, version 7.26.7.114

BCO-DMO data manager processing notes version 1 :
- added ISO_DateTime_UTC column
- Added cruise ID to the data
- Made longitude values negative to represent values west of the UTC line.

BCO-DMO data manager processing notes version 2 (replaces version 1):
* Data imported into the BCO-DMO dataset system from file ar29_bottle_data_Nov_2020.txt
* Constructed ISO_DateTime_UTC from year, month, day and time columns which were NMEA UTC times. 


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Data Files

File
ar29_bottle_v2.csv
(Comma Separated Values (.csv), 500.01 KB)
MD5:e0d65c5666ae2312cae9b1a99c8ace27
Primary data file for dataset ID 863240

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Related Datasets

IsRelatedTo
Kosnyrev, O., McGillicuddy, D. J., Zhang, W. G. (2021) Bottle data from CTD casts from the first cruise of SPIROPA project on April 27, 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-06-17 doi:10.26008/1912/bco-dmo.815450.1 [view at BCO-DMO]
Relationship Description: Bottle files of first SPIROPA cruise taken in April 2018 - Transect 24, in different file format.
McGillicuddy, D. J., Sosik, H. M., Zhang, W. G., Smith, W. O., Stanley, R., Turner, J., Petitpas, C. (2022) Bottle sample data from CTD casts from the second cruise of SPIROPA project, R/V Ronald H. Brown cruise RB1904, to the New England Shelfbreak in May of 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-05-04 doi:10.26008/1912/bco-dmo.873854.1 [view at BCO-DMO]
Relationship Description: Bottle data of the second SPIROPA cruise taken in May 2019.
McGillicuddy, D. J., Sosik, H. M., Zhang, W. G., Smith, W. O., Stanley, R., Turner, J., Petitpas, C. (2022) Bottle sample data from CTD casts from the third cruise of SPIROPA project, R/V Thomas G. Thompson cruise TN368, to the New England Shelfbreak in July of 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2022-06-08 doi:10.26008/1912/bco-dmo.849340.2 [view at BCO-DMO]
Relationship Description: Bottle data of the third cruise of the SPIROPA project taken in July 2019.
McGillicuddy, D. J., Sosik, H. M., Zhang, W. G., Smith, W. O., Stanley, R., Turner, J., Petitpas, C. (2022) CTD casts from the SPIROPA project from R/V Neil Armstrong cruise AR29, Ronald H. Brown cruise RB1904 and R/V Thomas G. Thompson cruise TN368 to the New England Shelfbreak in 2018 and 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 4) Version Date 2022-08-10 doi:10.26008/1912/bco-dmo.807119.4 [view at BCO-DMO]
Relationship Description: CTD profiles measurements (down casts) of the three SPIROPA cruises.

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Parameters

ParameterDescriptionUnits
cruise

Cruise identifier

unitless
cast

CTD cast number

unitless
station

Station number

unitless
station_id

Station ID: 1-A, 2-B, 3-AUV, 4-AL-CTD, 5-P, 6-NS, 7-EW, 8-NS6A, 9-A10z, 10-SLP, 11-SSF, 12-ALF, 13-AC, 14-AL, 15-HS, 16-S, 17-L'; E.g.: st#=14, stId=1 => stName=14A

unitless
year

NMEA UTC time

hhmm
month

NMEA UTC year

year
day

NMEA UTC month

month number
time

NMEA UTC day

day of month
ISO_DateTime_UTC

Cast start time in ISO8601 format yyyy-mm-ddTHH:MMZ (UTC time)

unitless
latitude

NMEA latitude

degrees N
longitude

NMEA longitude

degrees W
target_depth

target depth

m
depth

depth

m
press

pressure

db
niskin_used

The number of niskin bottles used for CTD BTL data averaging

unitless
sigmat

Sigma-theta density from primary sensors

kg/m^3
sigmat2

Sigma-theta density from secondary sensors

kg/m^3
oxy

Dissolved oxygen concentration

ml/l
oxyM

Dissolved oxygen saturation

Mm/Kg
oxySat

Dissolved oxygen concentration

Mm/Kg
potTemp

Potential temperature from primary sensor

ITS-90, deg C
potTemp2

Potential temperature from secondary sensor

ITS-90, deg C
sal

Salinity practical from primary sensors

unitless
sal2

Salinity practical from secondary sensors

unitless
dens

Density00; density from primary sensors

kg/m^3
dens2

Density11; density from secondary sensors

kg/m^3
svCM

Sound velocity (chen-millero) from primary sensors

m/s
svCM2

Sound velocity (chen-millero) from secondary sensors

m/s
temp

temperature from primary sensor

ITS-90, deg C
temp2

temperature from secondary sensor

ITS-90, deg C
cond

conductivity from primary sensor

S/m
cond2

conductivity from secondary sensor

S/m
oxyV

oxygen raw

Volt
fluor1

Fluorescence, WET Labs ECO-AFL/FL

mg/m^3
turb

turbWETntu0: Turbidity, WET Labs ECO

NTU
spar

SPAR/surface irradiance

microEinsteins/m^2/second
par

PAR/irradiance

microEinsteins/m^2/second
cpar

CPAR/Corrected Irradiance

%
Proc_io_PP

irradiance/surface irradiance ratio

%
Dep_PP

POC/PP/Productivity data: depth apparently taken from the previous Bottle file and rounded

m
Prod

primary productivity

mg m^-3 h^-1
ChlPP

POC/PP/Productivity data: calculated Chlorphyll concentration

ug L^-^1
AN

??

??
Prod_20um

primary productivity (20um)

mg m^-3 h^-1
POC

particulate organic Carbon

umol L^-1
PON

particulate organic Nitrogen

umol L^-1
Bsi

biogenic silica

umol L^-1
CN_ratio

Carbon/Nitrogen ratio

mol/mol
IntProd

integrated primary productivity per day

mg C m^-2 d^-1
IntProd_20um

integrated primary productivity per day (20um)

mg C m^-2 d^-1
Ratio

Carbon/silacate ratio

umol kg ^-1
bottle_nuts

CTD bottle number for nutrient analyses

unitless
NO3

Nitrate concentration

umol L^-1
NH4

Ammonium concentration

umol L^-1
PO4

Phosphate concentration

umol L^-1
Si

Silicate concentration

umol L^-1
bottle_toi

CTD bottle number for Triple Oxygen Isotope (TOI) analyses

unitless
D17

D17

per meg
Littled17

Littled17

per mil
Littled18

Littled18

per mil
O2Ar

O2Ar

umol kg ^-1 ?
Sample_toi

TOI sample number

unitless
Vial_toi

TOI vial number

unitless
bottle_alk

CTD bottle number for Alkalinity analyses

unitless
CO3

Carbon trioxide

umol/kg
HCO3

Bicarbonate

umol/kg
OAr

Aragonite

umol / kg
OCa

Calcium

umol / kg
Alk

Alkalinity

umol / kg
Dic

dissolved inorganic carbon

umol / kg
PCO2

Partial Pressure of Carbon Dioxide

uatm
PH

PH total

total scale
bottle_chl

CTD bottle number for Chlorophyll analyses

unitless
Filt_0

Filt_0 ID=0; 0 = whole seawater

unitless
Chl_x_0

Chlorophyll Filt_0

ug L^-^1
Chl_y_0

Chlorophyll Filt_0 (replicates)

ug L^-^1
Phaeo_x_0

total phaeopigment Filt_0

ug L^-^1
Phaeo_y_0

total phaeopigment Filt_0 (replicates)

ug L^-^1
QCflag_x_0

Filt_0 Quality flag: 1-inspected, 2-some question

unitless
QCflag_y_0

Filt_0 (replicates) Quality flag: 1-inspected, 2-some question

unitless
Filt_10

Filt_10 ID=10; 10 = <10um size fractionated chl

unitless
Chl_x_10

Chlorophyll Filt_10

ug L^-^1
Chl_y_10

chlorophyll Filt_10 (replicates)

ug L^-^1
Phaeo_x_10

total phaeopigment Filt_10

ug L^-^1
Phaeo_y_10

total phaeopigment Filt_10 (replicates)

ug L^-^1
QCflag_x_10

Filt_10 Quality flag: 1-inspected, 2-some question

unitless
QCflag_y_10

Filt_10 (replicates) Quality flag: 1-inspected, 2-some question

unitless


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Instruments

Dataset-specific Instrument Name
SeaBird 911+ Rosette 24-position
Generic Instrument Name
CTD Sea-Bird 911
Dataset-specific Description
SeaBird 911+ Rosette 24-position, 10-liter bottle Rosette with dual T/C sensors At each station, CTD casts measured temperature, salinity and PAR. Water samples collected at depths of 500, 300, 250, 200, 150, 120, 100, 80, 60, 40, 30, 20, 10 m, and the surface were filtered, processed or preserved for further analysis.
Generic Instrument Description
The Sea-Bird SBE 911 is a type of CTD instrument package. The SBE 911 includes the SBE 9 Underwater Unit and the SBE 11 Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). More information from Sea-Bird Electronics.

Dataset-specific Instrument Name
LI-COR Biospherical PAR
Generic Instrument Name
LI-COR Biospherical PAR Sensor
Generic Instrument Description
The LI-COR Biospherical PAR Sensor is used to measure Photosynthetically Available Radiation (PAR) in the water column. This instrument designation is used when specific make and model are not known.

Dataset-specific Instrument Name
Pressure, Digiquartz with TC
Generic Instrument Name
Pressure Sensor
Generic Instrument Description
A pressure sensor is a device used to measure absolute, differential, or gauge pressures. It is used only when detailed instrument documentation is not available.

Dataset-specific Instrument Name
SBE 43 Dissolved Oxygen
Generic Instrument Name
Sea-Bird SBE 43 Dissolved Oxygen Sensor
Generic Instrument Description
The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics

Dataset-specific Instrument Name
Turbidity, WET Labs ECO
Generic Instrument Name
Turbidity Meter
Dataset-specific Description
WET Labs offers the Environmental Characterization Optics (ECO) series of meters that incorporate a common set of options with a single basic design to make them ideal for a wide variety of deployments. The NTU provides: Unparalleled sensitivity of the ECO in an optical scattering measurement at 660 nm for determining turbidity. Turbidity measurement data that is not affected by CDOM concentration, unlike instruments that attempt to measure turbidity by using blue wavelengths. The option of analog output for easy integration into CTD packages. Excellent precision, reliability and overall performance at a fraction of the cost and size of similar instruments.
Generic Instrument Description
A turbidity meter measures the clarity of a water sample. A beam of light is shown through a water sample. The turbidity, or its converse clarity, is read on a numerical scale. Turbidity determined by this technique is referred to as the nephelometric method from the root meaning "cloudiness". This word is used to form the name of the unit of turbidity, the NTU (Nephelometric Turbidity Unit). The meter reading cannot be used to compare the turbidity of different water samples unless the instrument is calibrated. Description from: http://www.gvsu.edu/wri/education/instructor-s-manual-turbidity-10.htm (One example is the Orion AQ4500 Turbidimeter)

Dataset-specific Instrument Name
ECO-AFL/FL
Generic Instrument Name
Wet Labs ECO-AFL/FL Fluorometer
Dataset-specific Description
The Environmental Characterization Optics (ECO) series of single channel fluorometers delivers both high resolution and wide ranges across the entire line of parameters using 14 bit digital processing. The ECO series excels in biological monitoring and dye trace studies. The potted optics block results in long term stability of the instrument and the optional anti-biofouling technology delivers truly long term field measurements. more information from Wet Labs
Generic Instrument Description
The Environmental Characterization Optics (ECO) series of single channel fluorometers delivers both high resolution and wide ranges across the entire line of parameters using 14 bit digital processing. The ECO series excels in biological monitoring and dye trace studies. The potted optics block results in long term stability of the instrument and the optional anti-biofouling technology delivers truly long term field measurements. more information from Wet Labs


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Deployments

AR29

Website
Platform
R/V Neil Armstrong
Start Date
2018-04-16
End Date
2018-04-29


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Project Information

Collaborative Research: Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications (SPIROPA)


Coverage: Shelf break south of New England, OOI Pioneer Array


NSF award abstract:

The continental shelf break of the Middle Atlantic Bight supports a productive and diverse ecosystem. Current paradigms suggest that this productivity is driven by several upwelling mechanisms at the shelf break front. This upwelling supplies nutrients that stimulate primary production by phytoplankton, which in turn leads to enhanced production at higher trophic levels. Although local enhancement of phytoplankton biomass has been observed in some circumstances, such a feature is curiously absent from time-averaged measurements, both from satellites and shipboard sampling. Why would there not be a mean enhancement in phytoplankton biomass as a result of the upwelling? One hypothesis is that grazing by zooplankton prevents accumulation of biomass on seasonal and longer time scales, transferring the excess production to higher trophic levels and thereby contributing to the overall productivity of the ecosystem. However, another possibility is that the net impact of these highly intermittent processes is not adequately represented in long-term means of the observations, because of the relatively low resolution of the in-water measurements and the fact that the frontal enhancement can take place below the depth observable by satellite. The deployment of the Ocean Observatories Initiative (OOI) Pioneer Array south of New England has provided a unique opportunity to test these hypotheses. The combination of moored instrumentation and autonomous underwater vehicles will facilitate observations of the frontal system with unprecedented spatial and temporal resolution. This will provide an ideal four-dimensional (space-time) context in which to conduct a detailed study of frontal dynamics and plankton communities needed to examine mechanisms controlling phytoplankton populations in this frontal system. This project will also: (1) promote teaching, training and learning via participation of graduate and undergraduate students in the research , (2) provide a broad dissemination of information by means of outreach in public forums, printed media, and a video documentary of the field work, and (3) contribute to improving societal well-being and increased economic competitiveness by providing the knowledge needed for science-based stewardship of coastal ecosystems, with particular emphasis on connecting with the fishing industry through the Commercial Fisheries Research Foundation.

The investigators will conduct a set of three cruises to obtain cross-shelf sections of physical, chemical, and biological properties within the Pioneer Array. Nutrient distributions will be assayed together with hydrography to detect the signature of frontal upwelling and associated nutrient supply. The investigators expect that enhanced nutrient supply will lead to changes in the phytoplankton assemblage, which will be quantified with conventional flow cytometry, imaging flow cytometry (Imaging FlowCytobot, IFCB), optical imaging (Video Plankton Recorder, VPR), traditional microscopic methods, and pigment analysis. Zooplankton will be measured in size classes ranging from micro- to mesozooplankton with the IFCB and VPR, respectively, and also with microscopic analysis. Biological responses to upwelling will be assessed by measuring rates of primary productivity, zooplankton grazing, and net community production. These observations will be synthesized in the context of a coupled physical-biological model to test the two hypotheses that can potentially explain prior observations: (1) grazer-mediated control and (2) undersampling. Hindcast simulations will also be used to diagnose the relative importance of the various mechanisms of upwelling. The intellectual merit of this effort stems from our interdisciplinary approach, advanced observational techniques, and integrated analysis in the context of a state-of-the-art coupled model. The project will address longstanding questions regarding hydrodynamics and productivity of an important ecosystem, leading to improved understanding of physical-biological interactions in a complex continental shelf regime. Given the importance of frontal systems in the global coastal ocean, it is expected that knowledge gained will have broad applicability beyond the specific region being studied.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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