Dissolved organic carbon, and chromophoric and fluorescent DOM measurements of sea surface microlayer and subsurface samples from the R/V Hugh R. Sharp cruises HRS2213, HRS2215 and HRS2407 in the Northwestern Atlantic Ocean in 2022 and 2024

Website: https://www.bco-dmo.org/dataset/986840
Data Type: Cruise Results
Version: 1
Version Date: 2025-12-10

Project
» Collaborative Research: Impacts of surface ocean surfactant sources and transformations on their chemical composition and air-sea relevant properties (SOAPI)
ContributorsAffiliationRole
Wozniak, Andrew S.University of DelawarePrincipal Investigator
Frossard, AmandaUniversity of Georgia (UGA)Co-Principal Investigator
Agblemanyo, Felix EdufiaUniversity of DelawareStudent
Ammer, DanielUniversity of Georgia (UGA)Student
Birt, Amber E.University of Georgia (UGA)Student
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Data includes dissolved organic carbon, as well as chromophoric and fluorescent dissolved organic matter (DOM) concentrations, of sea surface microlayer (SML) and subsurface samples collected across four hydrographic regions in the western North Atlantic. Sample information, including date and time, location (longitude and latitude), and oceanographic measurements such as salinity, temperature, wind speed, and humidity at the time of collection, is provided. SML samples were collected with a modified glass plate sampler, the Rosette-Based Glass Plate (RGP) Sampler, while subsurface samples were collected from a depth of 0.5 m using a pump. These data were generated as part of the Surfactants at the Ocean-Atmosphere Physical Interface (SOAPI) project to investigate the the composition, structure, and interfacial properties of surfactant organics at the sea surface. Data were collected by Dr. Andrew Wozniak (University of Delaware).


Coverage

Location: Western North Atlantic
Spatial Extent: N:38.76335 E:-73.55657318 S:35.98858259 W:-75.435128
Temporal Extent: 2022-08-24 - 2024-08-19

Methods & Sampling

Sea surface microlayer (SML) samples were collected using the rosette-based glass plate sampler aboard the R/V Hugh R. Sharp. Subsurface seawater (SSW) was collected from the starboard side of the ship using a modified pump profiler system (Hudson et al. 2019) from ~0.5 meters (m) depth, immediately after each SML sampling. The samples were filtered using 0.7 micrometer (µm) pre-combusted glass fiber filters. An aliquot of filtered were frozen at -20 degrees Celsius (C) for DOC measurements, while another portion was stored in the fridge at 4 degrees C for colored dissolved organic matter (CDOM) and fluorescent dissolved organic matter (FDOM) analysis.

To measure dissolved organic carbon (DOC) concentrations, ~20 milliliters (mL) filtered water samples were acidified to a pH of ~2 using 4 drops of 2 molar (M) HCl. DOC was then quantified using the non-purgeable organic carbon method on a high temperature combustion instrument (Shimadzu TOC-V) that has a low blank (<5 micromolar (µM) C) and high precision (~1% RSD; (Qian and Mopper 1996)), following published studies (e.g., (Wozniak et al. 2012)). Sample responses were calibrated and validated against consensus surface seawater reference material from the Hansell laboratory at the University of Miami. DOC enrichment factors were calculated as a ratio of DOC concentration in the SML to DOC concentration in the paired SSW sample.

To characterize the optical properties of the SML and SSW DOM, both absorbance and excitation emission matrix (EEMs) fluorescence spectra were collected using a Horiba Aqualog spectrofluorometer. Absorbance spectra were acquired from 230 to 700 nanometers (nm) at 2 nm intervals. DOM aromaticity was estimated using SUVA254, which was calculated by dividing the absorption coefficient at 254 nm (a254) by DOC concentration (milligrams carbon per liter) (mg C L⁻¹). EEMs were obtained by scanning excitation wavelengths at 2 nm intervals between 230 and 700 nm, with emission spectra recorded at 4.65 nm intervals from 254 to 822 nm. The humification and biological indices (HIX and BIX) were calculated from the EEMs data using the staRdom and eemR R packages following standard procedures (Ohno 2002; Ouyang et al. 2024).

Additional measurements of the physical properties of seawater and meteorological conditions were made with the ship's instrumentation. Sea surface temperature and salinity were measured and recorded continuously with the shipboard instrumentation (SBE 45, Sea-Bird, at 3.7 m depth). Chlorophyll a concentrations were continuously measured with the shipboard fluorometer (AU10, Turner). Discrete water samples were also collected and used for chlorophyll a concentration measurements in the lab, using the spectrophotometric method described by Aminot and Rey (2000), to calibrate the shipboard fluorometer measurements. Wind velocity and air temperature were measured and recorded continuously with the ship's meteorological station (RM Young 26700).


BCO-DMO Processing Description

- Imported original file "SOAPI_1-3_DOC_CDOM.xlsx" into the BCO-DMO system.
- Renamed fields to comply with BCO-DMO naming conventions.
- For all columns except Latitude and Longitude, if more than 3 decimal places in numerical values, values were rounded to 3 decimal places.
- Saved the final file as "986840_v1_soapi_doc_and_cdom.csv".


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Related Publications

A. Aminot; F. Rey. (2001). Chlorophyll a: Determination by spectroscopic methods. ICES. https://doi.org/10.17895/ICES.PUB.5080 https://doi.org/10.17895/ices.pub.5080
Methods
Hudson, J. M., MacDonald, D. J., Estes, E. R., & Luther, G. W. (2019). A durable and inexpensive pump profiler to monitor stratified water columns with high vertical resolution. Talanta, 199, 415–424. doi:10.1016/j.talanta.2019.02.076
Methods
Ohno, T. (2002). Fluorescence Inner-Filtering Correction for Determining the Humification Index of Dissolved Organic Matter. Environmental Science & Technology, 36(4), 742–746. doi:10.1021/es0155276
Methods
Ouyang, T., McKenna, A. M., & Wozniak, A. S. (2024). Storm-driven hydrological, seasonal, and land use/land cover impact on dissolved organic matter dynamics in a mid-Atlantic, USA coastal plain river system characterized by 21 T FT-ICR mass spectrometry. Frontiers in Environmental Science, 12. https://doi.org/10.3389/fenvs.2024.1379238
Methods
Qian, J., & Mopper, K. (1996). Automated High-Performance, High-Temperature Combustion Total Organic Carbon Analyzer. Analytical Chemistry, 68(18), 3090–3097. https://doi.org/10.1021/ac960370z
Methods
Wozniak, A. S., Bauer, J. E., & Dickhut, R. M. (2012). Characteristics of water-soluble organic carbon associated with aerosol particles in the eastern United States. Atmospheric Environment, 46, 181–188. https://doi.org/10.1016/j.atmosenv.2011.10.001
Methods

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Parameters

ParameterDescriptionUnits
Cruise

Cruise name. SOAPI1 = Summer 2022 cruise; SOAPI2 = Fall 2022 cruise; SOAPI3 = Summer 2024 cruise.

unitless
Cruise_ID

Cruise identifier

unitless
Sample_Number

Sample ID number

unitless
Station_and_Day

Station and Day ID, with "S#" denoting the station number and the accompanying letter indicating the sampling day at that station during the cruise.

unitless
Station

The station names are Virginia Coast, Delaware Coast, Continental Slope, and Open Ocean.

unitless
ISO_DateTime_UTC

Station timestamp (UTC) in ISO 8601 format

unitless
Time_of_Day

Time of the day during sample collection (afternoon, evening, morning, night)

unitless
Type

Sample type where ML = sea surface microlayer sample and SS = subsurface seawater sample

unitless
Latitude

Station latitude, south is negative

decimal degrees
Longitude

Station longitude, west is negative

decimal degrees
Salinity

Surface seawater salinity during sample collection

practical salinity units
Surface_Temp

Surface seawater temperature during sample collection

degrees Celsius
Air_Temperature

Air temperature during sample collection

degrees Celsius
Humidity

Humidity during sample collection

percent
WindSpeed_knots

Windspeed during sample collection in knots

knots
Windspeed_m_s

Windspeed during sample collection in meters per second

meters per second (m s-1)
Chlorophyll_a

Chlorophyll-a concentration

microgram per liter (ug L-1)
DOC_uM

Dissolved organic carbon concentration (micromolar)

micromolar (uM)
DOC_mg_L

Dissolved organic carbon concentration (milligrams per liter)

milligram per liter (mg L-1)
BIX

Biological Index from FDOM analysis

unitless
FI

Fluorescence Index from FDOM analysis

unitless
HIX

Humification Index from FDOM analysis

unitless
a254

Napierian absorption coefficient at 254nm

per meter (m-1)
a300

Napierian absorption coefficient at 300nm

per meter (m-1)
S275_295

Spectral slope of wavelength region (275–295 nm)

per nanometer (nm -1)
SR

Slope ratio

unitless
SUVA254

Specific UV absorbance at 254nm

liters per milligram of carbon per meter (L mg-C-1)


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Instruments

Dataset-specific Instrument Name
modified pump profiler system
Generic Instrument Name
CTD - profiler
Dataset-specific Description
Subsurface seawater (SSW) was collected from the starboard side of the ship using a modified pump profiler system (Hudson et al. 2019). The system permits the collection of ~15 L of water in one minute without exposure to O2 from air for discrete sampling of chemical, microbial and other constituents as well as for real time analyses using sensors.
Generic Instrument Description
The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast. This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934.

Dataset-specific Instrument Name
Horiba Aqualog spectrofluorometer
Generic Instrument Name
Horiba Aqualog spectrofluorometer
Dataset-specific Description
Fluorescence spectra were collected using a Horiba Aqualog spectrofluorometer.
Generic Instrument Description
A benchtop optical spectrometer suitable for measuring coloured dissolved organic matter (CDOM). Outputs include absorbance spectra, fluorescence emission spectra, and fluorescence excitation-emission matrices. This instrument simultaneously measures absorbance spectra and fluorescence Excitation-Emission Matrices. It employs the Absorbance-Transmission Excitation Emission Matrix (A-TEEM) technique to acquire an Excitation Emission Matrix.

Dataset-specific Instrument Name
RM Young 26700
Generic Instrument Name
Meteorological Station
Dataset-specific Description
Wind velocity and air temperature were measured and recorded continuously with the ship’s meteorological station (RM Young 26700).
Generic Instrument Description
MET station systems are designed to record meteorological information on board ships or mounted on moorings. These are commonly referred to as EMET (Electronic Meteorological Packages) or IMET (Improved Meteorological Packages) systems. These sensor packages record measurements of sea surface temperature and salinity, air temperature, wind speed and direction, barometric pressure, solar and long-wave radiation, humidity and precipitation.

Dataset-specific Instrument Name
SBE 45, Sea-Bird
Generic Instrument Name
Sea-Bird SBE 45 MicroTSG Thermosalinograph
Dataset-specific Description
Sea surface temperature and salinity were measured and recorded continuously with the shipboard instrumentation (SBE 45, Sea-Bird, at 3.7 m depth).
Generic Instrument Description
A small externally powered, high-accuracy instrument, designed for shipboard determination of sea surface (pumped-water) conductivity and temperature. It is constructed of plastic and titanium to ensure long life with minimum maintenance. It may optionally be interfaced to an external SBE 38 hull temperature sensor. Sea Bird SBE 45 MicroTSG (Thermosalinograph)

Dataset-specific Instrument Name
Shimadzu TOC-V
Generic Instrument Name
Shimadzu TOC-V Analyzer
Dataset-specific Description
Used to quantify DOC concentrations.
Generic Instrument Description
A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.

Dataset-specific Instrument Name
AU10, Turner
Generic Instrument Name
Turner Designs Fluorometer 10-AU
Dataset-specific Description
Chlorophyll a concentrations were continuously measured with the shipboard fluorometer (AU10, Turner).
Generic Instrument Description
The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA).


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Deployments

HRS2213

Website
Platform
R/V Hugh R. Sharp
Start Date
2022-08-29
End Date
2022-09-03
Description
See more information from R2R: https://www.rvdata.us/search/cruise/HRS2213

HRS2215

Website
Platform
R/V Hugh R. Sharp
Start Date
2022-11-09
End Date
2022-11-11
Description
See more information at R2R: https://www.rvdata.us/search/cruise/HRS2215

HRS2407

Website
Platform
R/V Hugh R. Sharp
Start Date
2024-08-11
End Date
2024-08-21
Description
See more information at R2R: https://www.rvdata.us/search/cruise/HRS2407


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Project Information

Collaborative Research: Impacts of surface ocean surfactant sources and transformations on their chemical composition and air-sea relevant properties (SOAPI)

Coverage: Western North Atlantic surface waters


NSF abstract:
The surface microlayer (SML), the thin layer of water at the interface between the ocean and the atmosphere, controls the exchange of materials to and from the ocean. As a result, it can profoundly influence biogeochemical cycles and global climate. One type of chemical species that accumulates at this interface are surfactant molecules, which influence the surface tension of and the rate of material exchange at air-water interfaces. Biological and chemical production and degradation processes represent surfactant sources and removal pathways, but the relative importance of those processes for determining surfactant quantities and molecular composition remains unclear. Similarly, the relationship between surfactant molecule composition and surface tension at the air-water interface has not been established. As a result, their effects on material exchange at the interface cannot currently be predicted. This work will use measurements at sea, laboratory experiments, and high-resolution analyses to measure the chemical and physical characteristics of surfactants and their properties at the air-sea interface. An improved understanding of surfactant processes and surface ocean will benefit society by improving our understanding of the exchange of climate-relevant gases and particles. Two early career PIs will advance their established collaboration and gain further experience leading research projects and mentoring students. Students will receive valuable hands-on training in oceanographic field collections, state-of-the-science analytical techniques, data interpretation, and data dissemination. The results and methodologies from this work will be featured in courses at the University of Georgia and the University of Delaware and will be developed into content for K-12 students, enhancing infrastructure for education.

This work includes the unique pairing of state-of-the-science measurements across time and spatial scales to assess the influence of oceanographic processes on surfactant chemical composition and physical air-sea relevant properties. SML and subsurface waters will be collected from estuarine, coastal ocean, and open ocean sites during high and low productivity conditions to establish surfactant molecular characteristics over a range of space, time, and ocean biological activity. The effects of light will be assessed via diurnal sampling efforts and laboratory experiments. Samples will be analyzed for their detailed chemical, biological, and physical characteristics. The surface tension of the SML is expected to be inversely correlated with the abundance of lipid-like compounds (low O content, high H/C ratios, e.g., sulfur-containing lipids) produced during periods of high biological activity. Prolonged exposure to light is hypothesized to result in photo-oxidation of surfactant compounds, higher abundances of oxygenated and lower molecular weight aliphatic compounds, and increased surface tension. Multivariate statistical approaches will be used to reveal a mechanistic understanding of the links between biological and photochemical processes and the resulting surfactant and SML chemical and physical characteristics. This new knowledge will represent a first step toward improved models of the air-sea exchange of climate relevant gases which currently have large uncertainties. It will inform future work on the exchange of volatile and aerosol organics with significant potential impacts for our understanding of the climate system.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)

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