Dataset: Bio-optical measurements

Name: Bio-optical measurements made using the shipboard flow-through system within three hours of CTD casts conducted on R/V Robert Gordon Sproul cruises along the Southern California coast during July and August 2023
Published: 2025-02-18
Keywords: wildfire, ash leachate, phytoplankton, Coastal, Thomas fire, ac-s, bb3, oceans

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Spatial Extent: N:35.21268 E:-118.402 S:33.54503 W:-122.2133

Southern California coast

Temporal Extent: 2023-08-02 - 2023-08-19

Project:

Postdoctoral Fellowship: OCE-PRF: Smoke on the water: the impacts of wildfire ash deposition on surface ocean biology (Smoke on the water)

Principal Investigator:

Nicholas Baetge (Oregon State University, OSU)

Scientist:

Jason Graff (Oregon State University, OSU)

Allen J. Milligan (Oregon State University, OSU)

Student:

Parker Hansen (Oregon State University, OSU)

Brian Ver Wey (Oregon State University, OSU)

BCO-DMO Data Manager:

Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2025-02-18

Restricted:

Validated:

Current State:

Data not available

Bio-optical measurements made using the shipboard flow-through system within three hours of CTD casts conducted on R/V Robert Gordon Sproul cruises along the Southern California coast during July and August 2023

Abstract:

These data include bio-optical measurements made using the shipboard flow-through system within three hours of CTD casts conducted on the R/V Robert Gordon Sproul (SP2319, SP2320) between dates 2023-07-28 and 2023-08-19 along the Southern California coast. These data were collected to provide context for the incubation experiments that were also conducted on board. Incubations were comprised of dilution experiments to assess phytoplankton growth and microzooplankton grazing rates and dissolved organic carbon (DOC) remineralization bioassays to assess bacterioplankton growth and DOC degradation. Deposition of wildfire ash on the ocean can fertilize microbial production but also has the potential to inhibit microbial growth due to heavy metal toxicity. The data collected from these field experiments can contribute to elevating understanding of wildfire-driven material transfer from the terrestrial system to the ocean and its impact on carbon and energy flow in marine food webs. These data were collected by Dr. Nicholas Baetge, Dr. Jason Graff, Dr. Allen Milligan, Brian Ver Wey, and Parker Hansen of Oregon State University. Data were also collected by Dr. Craig Carlson, Elisa Halewood, and Keri Opalk of the University of California Santa Barbara.

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Methods & Sampling

Bio-optical measurements of surface seawater were made using the shipboard flow-through system within three hours of a CTD cast. Measurements of particulate attenuation (cp) and particulate absorption (ap) at three wavelengths (λ = 470, 532, and 660 nanometers (nm)) were made with an AC-S spectrophotometer (serial number 94; Sea-Bird Scientific [WET Labs, Inc.]). Coincident measurements of particulate backscattering (bbp) at three wavelengths (λ = 470, 532, and 660 nm) were made with an ECO-BB3 (serial number 349; Sea-Bird Scientific [WET Labs, Inc.]) set in a custom enclosure (Dall’Olmo et al., 2009).

Data Processing Description

Bio-optical data were processed using InLineAnalysis available from the Maine In-situ Sound & Color Lab (https://github.com/OceanOptics/InLineAnalysis; Boss et al, 2019).

BCO-DMO Processing

- Imported original file "BIO-OPTICS.csv" into the BCO-DMO system.
- Flagged "NA" as a missing data value; missing data are empty/blank in the final CSV file.
- PI applied rounding to numeric values and provided a new file.
- Saved final data file as "953193_v1_bio-optical_measurements.csv".

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-2306993

Deployments

Deployment	Synonyms	Start Date	Platform	Investigator
SP2319	Redfield ratio 2023 cruise	2023-07-28	R/V Robert Gordon Sproul	Allen J. Milligan (Chief Scientist)	data info
SP2320	Redfield ratio 2023 cruise	2023-08-14	R/V Robert Gordon Sproul	Allen J. Milligan (Chief Scientist)	data info

Instruments

WET Labs AC-S in-situ spectrophotometer

Supplied Name: AC-S spectrophotometer

Supplied Description:

Measurements of particulate attenuation (cp) and particulate absorption (ap) at three wavelengths (λ = 470, 532, and 660 nm) were made with an AC-S spectrophotometer (serial number 94; Sea-Bird Scientific [WET Labs, Inc.]).

Instrument Type

Generic Name: WET Labs AC-S in-situ spectrophotometer

Acronym: AC-S

Generic Description:

The WET Labs {Sea-Bird WETLabs} AC-S in-situ spectrophotometer is based on the AC-9 flow-through sensor offering increased spectral resolution of in-situ absorption and beam attenuation. The AC-S can have 80 (+/- 5) wavelength outputs with a range of 400-730 nm. The AC-S consists of a 10 or 25-centimeter (cm) pathlength, a 4-nanometer (nm) resolution, an accuracy of 0.001 - 10 m-1, an operational temperature range of 0 - 30 degrees Celsius, and an operational depth rating of 500 meters.

WET Labs ECO BB3SLO scattering sensor

Supplied Name: ECO-BB3

Supplied Description:

Coincident measurements of particulate backscattering (bbp) at three wavelengths (λ = 470, 532, and 660 nm) were made with an ECO-BB3 (serial number 349; Sea-Bird Scientific [WET Labs, Inc.]) set in a custom enclosure (Dall’Olmo et al., 2009).

Instrument Type

Generic Name: WET Labs ECO BB3SLO scattering sensor

Acronym: ECO-BB3

Generic Description:

The WET Labs {Sea-Bird WETLabs} ECO Puck Triplet BB3SLO scattering sensor is a variant of the ECO Puck Triplet. The BB3 is a three-optical-sensor, user-defined instrument that carries 3 scattering meters. ECO Pucks are real‐time only sensors as they are integrated onto the OEM platform that provides power and data handling. The SLO designation signifies this is a 1st generation model that is specific for integration into Slocum gliders. The fluorometers and scattering meter are single wavelength sensors. The model is depth-rated to 600 meters.

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
stn	station number	unitless	station
lat	latitude	degrees North	lat
lon	longitude	degrees East	lon
dt	datetime (UTC) in ISO 8601 format Format: %Y-%m-%dT%H:%M:%SZ	unitless	ISO_DateTime_UTC
bbp_470	particulate backscattering at 470 nm	reciprocal meters (1/m)	bbp470
bbp_532	particulate backscattering at 532 nm	reciprocal meters (1/m)	bbp532
bbp_660	particulate backscattering at 660 nm	reciprocal meters (1/m)	bbp660
ap_470	particulate absorption at 470 nm	reciprocal meters (1/m)	ap470
ap_532	particulate absorption at 532 nm	reciprocal meters (1/m)	ap532
ap_660	particulate absorption at 660 nm	reciprocal meters (1/m)	ap660
cp_470	particulate attenuation at 470 nm	reciprocal meters (1/m)	no_bcodmo_term
cp_532	particulate attenuation at 532 nm	reciprocal meters (1/m)	no_bcodmo_term
cp_660	particulate attenuation at 660 nm	reciprocal meters (1/m)	no_bcodmo_term
poc_cp_660	Particulate organic carbon concentration estimated from particulate attenuation at 660 nm	milligrams per cubic meter (mg/m3)	no_bcodmo_term
chl_ap676lh	Chlorophyll concentration estimated from the line height of particulate absorption at 676 nm	milligrams per cubic meter (mg/m3)	no_bcodmo_term
gamma_cp	The mean particle size index	unitless	no_bcodmo_term

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Dataset: Bio-optical measurements