Discrete data on hydrography (from CTD casts) and chemical analyses of dissolved nutrients and organic carbon on the Louisiana-Texas shelf in the Gulf of Mexico from R/V Acadiana cruise 18-21 September 2017

Website: https://www.bco-dmo.org/dataset/844709
Data Type: Cruise Results
Version: 1
Version Date: 2021-03-10

Project
» Collaborative Research: A RAPID response to Hurricane Harvey's impacts on coastal carbon cycle, metabolic balance and ocean acidification (HarveyCarbonCycle)
ContributorsAffiliationRole
Roberts, BrianLouisiana Universities Marine Consortium (LUMCON)Principal Investigator
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Discrete data on hydrography (from CTD casts) and chemical analyses of dissolved nutrients and organic carbon on the Louisiana-Texas shelf in the Gulf of Mexico from R/V Acadiana cruise 18-21 September 2017.


Coverage

Spatial Extent: N:29.64179 E:-90.2275 S:28.3825 W:-93.42667
Temporal Extent: 2017-09-18 - 2017-09-21

Dataset Description

Usage note: Time zone information was not received by BCO-DMO so it is unknown if the dates and times in this dataset are local or UTC. Please contact the dataset PI if you have questions about this.


Methods & Sampling

Conductivity, Temperature and Depth (CTD) data and water samples were collected at various depths across 23 stations (total n = 68) from the Louisiana-Texas shelf in the Gulf of Mexico using the R/V Acadiana between September 18, 2017 and September 21, 2017. At all stations, a vertical profile of salinity, dissolved oxygen concentration and temperature was collected using a CTD. The CTD rosette was equipped with 6, 4 L Niskin bottles for collecting aqueous samples at specific depths. Water samples were collected using a single Niskin bottle per depth and were analyzed across various analytical instruments for nutrient concentrations.

Water samples were collected using a single Niskin bottle per depth on the CTD rosette. Samples for dissolved inorganic nutrients and dissolved organic carbon / total nitrogen were analyzed following the methods detailed in Roberts and Doty (2015) and Mason et al. (2016). Specifically, one niskin bottle, water samples for dissolved inorganic nutrients (NO₃⁻ + NO₂⁻, NO₂⁻, PO₄³−, SiO₂, and NH₄⁺) were analyzed in duplicate using a Lachat Instruments QuikChem FIA+ 8000 Series Automated Ion Analyzer with an ASX-400 Series XYZ autosampler after being filtered through acid-cleaned (10% HCl), 47 mm diameter, 0.2 µm pore size, membrane filters (Pall SuporR-200) under low vacuum pressure. Samples were analyzed for dissolved NO₃⁻ + NO₂⁻ (by Cu-Cd reduction followed by azo dye colorimetry), PO₄³ (by the automated ascorbic acid reduction method), SiO₂⁻, and dissolved NH₄⁺ (by phenate colorimetry) (APHA, 1992). Dissolved NO₂⁻ was determined separately by azo dye colorimetry (without Cu−Cd reduction). Standard curves were prepared using certified standard stock solutions (Hach, Loveland CO) and yielded r² values of ≥ 0.999. NO₃⁻ concentration was determined by difference between NO₃⁻ + NO₂⁻ and NO₂⁻.

Dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) concentrations were measured at least in triplicate on a Shimadzu TOC-VCSH Analyzer with TNM-1 Module (MDL 1.5 μmol C L−1, 0.3 μmol N L−1; Shimadzu Scientific Instruments, Columbia, MD) after being filtered through combusted (450°C), 47mm diameter Whatman GF/F filters under low vacuum pressure. Concentrations of dissolved organic nitrogen (DON) were determined by difference [DON=TDN−DIN].

All water chemistry data went through quality control checks. CTD instrument probes were calibrated prior to cruise departure.


Data Processing Description

CTD data were processed on Seabird's SBEDataProcessing-Win32.

BCO-DMO Processing:
- renamed fields to conform with BCO-DMO naming conventions;
- changed year from 2019 to 2017 for station F7, bottle 1.


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Data Files

File
sept_2017_discrete.csv
(Comma Separated Values (.csv), 10.82 KB)
MD5:af4acb227331fd8f89a8e12547b60f27
Primary data file for dataset ID 844709

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Related Publications

APHA. 1992. Standard Methods for the Examination of Water and Wastewater, 18th Edn. Washington, DC : American Public Health Association.
Methods
Mason, O. U., Canter, E. J., Gillies, L. E., Paisie, T. K., & Roberts, B. J. (2016). Mississippi River Plume Enriches Microbial Diversity in the Northern Gulf of Mexico. Frontiers in Microbiology, 7. doi:10.3389/fmicb.2016.01048
Methods
Roberts, B. J., & Doty, S. M. (2015). Spatial and Temporal Patterns of Benthic Respiration and Net Nutrient Fluxes in the Atchafalaya River Delta Estuary. Estuaries and Coasts, 38(6), 1918–1936. doi:10.1007/s12237-015-9965-z
Methods

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Related Datasets

IsRelatedTo
Roberts, B. (2022) Discrete data on hydrography (from CTD casts) and chemical analyses of dissolved nutrients and organic carbon on the Louisiana-Texas shelf in the Gulf of Mexico from R/V Pelican cruise 28 September – 11 October 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-03-17 doi:10.26008/1912/bco-dmo.844721.1 [view at BCO-DMO]

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Parameters

ParameterDescriptionUnits
CruiseCruise identification unitless
TypeType of cast (CTD) unitless
DateTimeDate and time of sample collection unitless
DateDate of sample collection unitless
TimeTime of sample collection unitless
StationLocation of sample collection unitless
Bottle_DepthDepth of the sample bottle at collection meters (m)
LongitudeLongitude, west is negative decimal degrees North
LatitudeLatitude, south is negative decimal degrees East
BottleBottle number on the CTD unitless
DepthDepth of CTD at sample collection meters (m)
TemperatureCTD water temperature in degrees Celsius degrees C
SalinityCTD salinity in practical salinity units (PSU) PSU
OxygenSBECTD dissolved oxygen concentration micromoles per kilogram (umol/kg)
NO3_NO2Sample total NOx (nitrate + nitrite) concentration micromoles per liter (umol N/L)
NO2Sample nitrite concentration micromoles per liter (umol N/L)
NO3_calculatedCalculated sample nitrate concentration micromoles per liter (umol N/L)
NH4Sample ammonium concentration micromoles per liter (umol N/L)
DIN_calculatedCalculated dissolved inorganic nitrogen concentration micromoles per liter (umol N/L)
PO4Sample phosphate concentration micromoles per liter (umol P/L)
SiO2Sample silicate concentration micromoles per liter (umol Si/L)
DOCSample dissolved organic carbon concentration micromoles per liter (umol C/L)
TDNSample total dissolved nitrogen concentration micromoles per liter (umol N/L)
DON_calculatedCalculated dissolved organic nitrogen concentration micromoles per liter (umol N/L)


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Instruments

Dataset-specific Instrument Name
4 L Niskin bottles
Generic Instrument Name
Niskin bottle
Dataset-specific Description
At all stations, a vertical profile of salinity, dissolved oxygen concentration and temperature was collected using a Seabird SBE 19plus V2 SeaCAT Profiler CTD. The CTD was on an ECO55 water sampler with 6 4 L Niskin bottles for collecting aqueous samples at specific depths.
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
Shimazdu Instruments TOC-VCSH and TNM-1
Generic Instrument Name
Total Organic Carbon Analyzer
Dataset-specific Description
Water samples were analyzed for dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) content using a Shimazdu Instruments TOC-VCSH and TNM-1 with attached ASI-V auto sampler.
Generic Instrument Description
A unit that accurately determines the carbon concentrations of organic compounds typically by detecting and measuring its combustion product (CO2). See description document at: http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/bs116.pdf

Dataset-specific Instrument Name
Lachat Instruments QuikChem® FIA+ 8000 Series Automated Ion Analyzer
Generic Instrument Name
Flow Injection Analyzer
Dataset-specific Description
Water samples were analyzed for NO₃⁻ + NO₂⁻, NO₂⁻, PO₄³−, SiO₂, and NH₄⁺ using a Lachat Instruments QuikChem® FIA+ 8000 Series Automated Ion Analyzer with an ASX-400 Series XYZ autosampler.
Generic Instrument Description
An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques.

Dataset-specific Instrument Name
Seabird SBE 19plus V2 SeaCAT Profiler CTD
Generic Instrument Name
CTD Sea-Bird SBE SEACAT 19plus
Dataset-specific Description
At all stations, a vertical profile of salinity, dissolved oxygen concentration and temperature was collected using a Seabird SBE 19plus V2 SeaCAT Profiler CTD. The CTD was on an ECO55 water sampler with 6 4 L Niskin bottles for collecting aqueous samples at specific depths.
Generic Instrument Description
Self contained self powered CTD profiler. Measures conductivity, temperature and pressure in both profiling (samples at 4 scans/sec) and moored (sample rates of once every 5 seconds to once every 9 hours) mode. Available in plastic or titanium housing with depth ranges of 600m and 7000m respectively. Minature submersible pump provides water to conductivity cell.


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Deployments

AC18-12

Website
Platform
R/V Acadiana
Start Date
2017-09-17
End Date
2017-09-21


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Project Information

Collaborative Research: A RAPID response to Hurricane Harvey's impacts on coastal carbon cycle, metabolic balance and ocean acidification (HarveyCarbonCycle)

Coverage: Northwestern Gulf of Mexico


NSF Award Abstract:
Understanding how extreme events, like hurricanes, impact coastal ecosystems and the cycling of elements like carbon and oxygen, is important for improving our ability to predict how the global carbon cycle will respond to climate. This team of investigators, who have already been working together on understanding the carbon cycle in the Gulf of Mexico continental shelves, have important recent data against which to measure the effects of the passage of Hurricane Harvey in August, 2017. They will sample the waters and sediments of the northwestern Gulf of Mexico in September, October, and January to assess Harvey's impacts on a timescale of weeks to months.

The researchers pose three specific questions: 1. Will the region become a major source of carbon dioxide to the atmosphere, releasing carbon accumulated in the bottom water and sediments, and will this potential impact be faster and greater than during normal fall and winter mixing events? Will this process acidify the surface water and for how long? 2. Will the metabolic balance be substantially pushed toward net heterotrophy as a result of the storm in comparison to other years? 3. Can the amount of material delivered or redeposited across the continental shelf by a tropical cyclone be considerably larger than that related to winter storm systems? The PIs will measure water column nutrients, oxygen, organic carbon, and inorganic carbon system parameters; determine water column and benthic metabolic and nutrient flux rates; and sediment organic matter deposition rates. They will also collect end member river samples. They will compare the immediate (mid-Sept) but limited post-hurricane data and one-month post-hurricane, more detailed data with those collected in July and April to study the impacts of the storms. they will also compare 2017-2018 seasonal data to seasonal data over the same region collected in the past (2006-2008 and 2009-2010). They will also compare the impacts of Hurricane Harvey to those of Hurricanes Katrina and Rita (2005) and Tropical Storm Cindy (June 2017). The project will involve graduate and postdoctoral research and work to communicate results to the public.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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