| Contributors | Affiliation | Role |
|---|---|---|
| Wozniak, Andrew S. | University of Delaware | Principal Investigator, Contact |
| Frossard, Amanda | University of Georgia (UGA) | Co-Principal Investigator |
| Agblemanyo, Felix Edufia | University of Delaware | Student |
| Ammer, Daniel | University of Georgia (UGA) | Student |
| Birt, Amber E. | University of Georgia (UGA) | Student |
| Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
CTD profile measurements collected from four hydrographic regions in the Northwestern Atlantic Ocean using various sensors during the R/V Hugh R. Sharp cruises HRS2213, HRS2215 and HRS2407 in summer and fall of 2022, and summer of 2024.
Raw CTD data collected with a Sea-Bird SBE 9plus system were converted from hexadecimal (.hex) format to a human-readable format (.cnv) files using Sea-Bird Seasave software (version 7.26.0.7). Standard Sea-Bird processing steps were applied, including sensor alignment, low-pass filtering, conductivity cell thermal mass correction, loop editing to minimize ship heave effects, and calculation of derived variables such as salinity, density, dissolved oxygen, and potential temperature. Data were binned into 1 dbar vertical intervals using downcast data only. The processed .cnv files were subsequently imported into R using the oce package, where timestamps were converted to ISO 8601 UTC format, cruise and station metadata were added, and all casts were combined into a single dataset. The .cnv files have been added as supplemental files.
* Treating empty strings and "nd" as missing values
* Renamed 11 fields to replace special characters in field names: points and é have been converted to underscores (_)
| File |
|---|
997528_v1_CTD.csv (Comma Separated Values (.csv), 546.03 KB) MD5:e7881a29cd5668570dec8170063b8ce6 Primary data file for dataset ID 997528, version 1 |
| File |
|---|
SOAPI_CTD_FILES.zip (ZIP Archive (ZIP), 238.94 KB) MD5:a9c7c0a9d32e4c5852060f5330ecd5a7 Processed .cnv files (Sea-Bird Output) |
| Parameter | Description | Units |
| source_file | name of the originators file | unitless |
| cruise | SOAPI1 = Summer 2022 cruise, SOAPI2 = Fall 2022 cruise, SOAPI3 = Summer 2024 cruise | Unitless |
| cruise_number | Cruise identifier | Unitless |
| station | The station names are Virginia Coast, Delaware Coast, Continental Slope, and Open Ocean. | Unitless |
| station_id | Station identifier | Unitless |
| ISO_DateTime_UTC | System date and time in UTC following ISO8601 format | yyyy-MM-dd'T'HH:mm:ss'Z' |
| scan | Scan Count | Unitless |
| timeS | Time, Elapsed | seconds (S) |
| depSM | Depth in salt water at specified latitude | meters (m) |
| prDM | Pressure, Digiquartz | decibar (db) |
| t090C | Temperature ITS-90 | degrees Celsius (C) |
| t190C | Temperature 2 ITS-90 | degrees Celsius (C) |
| c0S_m | Conductivity | Siemens per meter (S/m) |
| c1S_m | Conductivity, 2 | Siemens per meter (S/m) |
| sal00 | Salinity, Practical | Practical Salinity Units (PSU) |
| sal11 | Salinity, Practical, 2 | Practical Salinity Units (PSU) |
| timeQ | Time, NMEA | seconds |
| timeY | Time, System | seconds |
| latitude | Latitude | decimal degrees |
| longitude | Longitude | decimal degrees |
| svCM | Sound Velocity, Chen-Millero | m/s |
| flECO_AFL | Fluorescence, WET Labs ECO-AFL/FL | milligrams/meter^3 [mg/m^3] |
| sbeox0ML_L | Oxygen, SBE 43 | milliliters per liter (ml/l) |
| sbox0Mm_Kg | Oxygen, SBE 43 | micromole per kilogram [umol/kg] |
| sbeox0Mg_L | Oxygen, SBE 43 | miligram per liter (mg/l) |
| sigma_e00 | Density, sigma-theta, | kilogram per meter cubed [kg/m^3] |
| sigma_e11 | Density, 2, sigma-theta | kilogram per meter cubed [kg/m^3] |
| potemp090C | Potential temperature from ITS-90 | degrees Celsius |
| potemp190C | Potential temperature from ITS-190 | degrees Celsius |
| svCM_1 | Sound Velocity, Chen-Millero | meter per second (m/s) |
| sal00_1 | Salinity, Practical | Practical Salinity Units (PSU) |
| sal11_1 | Salinity, Practical, 2 | Practical Salinity Units (PSU) |
| flag | data quality flag; 0 indicates good value | Unitless |
| Dataset-specific Instrument Name | Sea-Bird SBE-911plus |
| Generic Instrument Name | CTD Sea-Bird SBE 911plus |
| Dataset-specific Description | Sea-Bird SBE-911plus CTD (Conductivity, Temperature, Depth) |
| 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 |
| 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 |
| 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 |
| 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 |
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.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) | |
| NSF Division of Ocean Sciences (NSF OCE) |