Dataset: 2017 Wire Flyer ECOpuck Fluorometer data
Deployment: SKQ201701S

ECOpuck fluorometer data from 12 Wire Flyer deployments in 2017

Principal Investigator:

Christopher Neil Roman (University of Rhode Island, URI)

BCO-DMO Data Manager:

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

Project:

Collaborative Research: A metabolic index to predict the consequences of climate change for midwater ecosystems (Metabolic Index)

Data URL:

https://www.bco-dmo.org/dataset-deployment/859985/data

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Description

Methods & Sampling

Dataset acquisition description

Data were collected from an ECOpuck fluorometer on Wire Flyer deployments from R/V Sikuliaq cruise SKQ201701S in the Eastern Tropical North Pacific during January and February 2017. The data have not been corrected for any time lags. The Chl and turbidity are from a Wet Labs Flbb-2k (470/695 nm Chl-a and 700nm turbidity).

The Wire Flyer position was calculated using measurements of the clump weight depth and the wire payout. The layback distance is the Flyer's distance behind the ship. The raw count values were converted with the following coefficients:

self.turb_darkcount=50

self.turb_scalefactor=0.0747

self.chloro_darkcount=41.

self.chloro_scalefactor=0.0072

self.lcm_msg.turb = self.turb_scalefactor * (turb_data - self.turb_darkcount)

self.lcm_msg.chl = self.chloro_scalefactor * (chloro_data - self.chloro_darkcount)

Known Problems/Issues:
There is an asymmetry between the up and down directions, likely due to the flow over the sensor. We have not yet determined a correction for this.

Data Processing Description

Dataset Processing Description

BCO-DMO Processing:
- concatenated data from 12 separate files into one dataset;
- replaced "NaN" with "nd" (no data);
- created new column "deployment_id" (based on original file name);
- converted date/time field to ISO8601 format.

More information about this dataset deployment

Funding

Award Number	Funding Source
OCE-1458967	NSF Division of Ocean Sciences

Instruments

Wet Labs ECO Puck

Supplied Name: ECOpuck fluorometer

Supplied Description:

Instrument Type

Generic Name: Wet Labs ECO Puck

Generic Description:

The Puck is a miniature version of the ECO series of sensors, specifically designed for use in AUVs, profiling floats, and Slocum gliders with a dry science bay. This compact optical sensor is available in combinations of backscattering and fluorescence measurements.
Manufacturer's website: https://www.seabird.com/auv-rov-sensors/eco-puck/family?productCategoryId=55352274651

WETLabs ECO FLBB scattering fluorescence sensor

Supplied Name: Wet Labs Flbb-2k

Supplied Description:

The Chl and turbidity are from a Wet Labs Flbb-2k, 470/695 nm Chl-a and 700nm turbidity.

Instrument Type

Generic Name: WETLabs ECO FLBB scattering fluorescence sensor

Acronym: WETLabs ECO FLBB

Generic Description:

A dual-optical-sensor that carries a single-wavelength chlorophyll fluorometer (470nm ex/695nm em) and backscattering sensor (700 nm) that measures phytoplankton and particle concentration. It operates by using blue (470nm) and red (700 nm) LEDs that alternately flash. The blue LED stimulates chlorophyll fluorescence in plants while the red light illuminates the total particle field. The backscattering sensor has an in-water centroid angle of 142 degrees and can be calibrated to measure turbidity. The fluorometer can typically measure phytoplankton concentrations in the range 0-30 ug/l, with a sensitivity of 0.015 ug/l. The backscattering sensor can measure within the range 0-3 m-1, with a sensitivity of 0.0015 m-1. The instrument output in the standard version is digital and uses a low power mode and stores data. Other variants are used. The instrument is rated to a depth of 600m as standard, with the options of deeper instruments rated up to 6000m and instruments with bio-wipers, rated to 300 m.

This instrument comes in the following optional models: FLbb(RT), FLbb(RT)D, FLbbB, FLbbS, FLbbBS, FLbb2k. Refer to the datasheet from the manufacturer: https://www.seabird.com/asset-get.download.jsa?id=55460873804

Wire Flyer Towed Profiling System

Supplied Name: Wire Flyer

Supplied Description:

Instrument Type

Generic Name: Wire Flyer Towed Profiling System

Acronym: Wire Flyer

Generic Description:

Description from Roman et al. (2019):
The Wire Flyer towed vehicle is a platform able to collect high-resolution water column sections. The vehicle is motivated by a desire to effectively capture spatial structures at the submesoscale. The Wire Flyer profiles up and down along a ship-towed cable autonomously using controllable wings for propulsion. At ship speeds between 2 and 5 kt (1.02–2.55 m s−1), the vehicle is able to profile over prescribed depth bands down to 1000 m. The vehicle carries sensors for conductivity, temperature, depth, oxygen, turbidity, chlorophyll, pH, and oxidation reduction potential. During normal operations, the vehicle is typically commanded to cover vertical regions between 300 and 400 m in height with profiles that repeat at kilometer spacing. The vertical profiling speed can be user-specified up to 150 m min−1. During operations, an acoustic modem is used to communicate with the vehicle to provide status information, data samples, and the ability to modify the sampling pattern.

Detailed information can be found in the following publication:
Roman, C., Ullman, D. S., Hebert, D., & Licht, S. (2019). The Wire Flyer Towed Profiling System. Journal of Atmospheric and Oceanic Technology, 36(2), 161–182. doi:10.1175/jtech-d-17-0180.1

Parameters

Supplied Name	Supplied description	Supplied Units	Standard Name
deployment_id	identifier for the deployment; indicates the start date and time of deployment in format: YYYYMMDD_hhmmss (time zone is GMT)	unitless	deployno
temp_counts	raw temperature data	unitless	temp
timestamp	time stamp in microunix seconds	microunix seconds	time
chl	chlorophyll	micrograms per liter (ug/L)	chl_a
turb_counts	raw turbidity reading	unitless	turbidity
chl_counts	raw chl-a reading	unitless	chl_a
turb	turbidity; calculated from the raw count value	NTU	turbidity
datestring	date-time string (GMT) in format where xxx represent milliseconds: YYYY-MM-DD hh:mm:ss.xxx	unitless	DateTime
ISO_DateTime_UTC	date-time string converted to ISO8601 format: YYYY-MM-DDThh:mm:ss.xxxxxxZ. Note that data are accurate to milliseconds (not microseconds)	unitless	ISO_DateTime_UTC
lat	Latitude. This is either the ship or the flyer position, but it is the best position available. If the Flyer position was known, accounting for the tow cable, this is the value used here. If the flyer position was not known (e.g. maybe the winch cable counter failed), the ship position was recorded	degrees North	lat
lon	Longitude. This is either the ship or the flyer position, but it is the best position available. If the Flyer position was known, accounting for the tow cable, this is the value used here. If the flyer position was not known (e.g. maybe the winch cable counter failed), the ship position was recorded	degrees East	lon

Database

Contribute Data

Dataset: 2017 Wire Flyer ECOpuck Fluorometer data
Deployment: SKQ201701S

Dataset acquisition description

Dataset Processing Description

Database

Contribute Data

Dataset: 2017 Wire Flyer ECOpuck Fluorometer dataDeployment: SKQ201701S

Dataset acquisition description

Dataset Processing Description

Dataset: 2017 Wire Flyer ECOpuck Fluorometer data
Deployment: SKQ201701S