Dataset: 2017 Wire Flyer 4Hz data

Name: 4Hz data from 12 Wire Flyer deployments conducted on R/V Sikuliaq cruise SKQ201701S in the Eastern Tropical North Pacific from January to February 2017
Published: 2022-05-03
Keywords: oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.860216.1

Spatial Extent: N:22.60449 E:-117.01326 S:21.22662 W:-118.58995

Temporal Extent: 2017-01-25 - 2017-02-12

Project:

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

Principal Investigator:

Christopher Neil Roman (University of Rhode Island, URI)

BCO-DMO Data Manager:

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

Version:

Version Date:

2022-05-03

Restricted:

Validated:

Yes

Current State:

Final no updates expected

4Hz data from 12 Wire Flyer deployments conducted on R/V Sikuliaq cruise SKQ201701S in the Eastern Tropical North Pacific from January to February 2017

Abstract:

This dataset includes the 4Hz data from 12 Wire Flyer deployments conducted on R/V Sikuliaq cruise SKQ201701S in the Eastern Tropical North Pacific from January to February 2017. Data are from a Seabird 49 Fast-CAT CTD, an Aanderaa Optode 4831F, and a Wet Labs Flbb-2k.

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Archival Copy

Version Date	Archive	Persistent Identifier	Date Assigned
2022-05-03	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.860216.1	2022-05-03

Methods & Sampling

Data were collected from Wire Flyer deployments from R/V Sikuliaq cruise SKQ201701S in the Eastern Tropical North Pacific during January and February 2017. These data are reported directly from the sensors or were calculated using the seawater toolbox. The data have not been corrected for any time lags.

Known Problems/Issues:
There is some difference in the fluorometer data between the up and down casts. We are not sure what is causing this just yet. This can be seen as an obvious striping pattern in the profile plots. The oxygen sensor has a time lag of 5-7 seconds. Applying this amount of lag helps align the up and down casts well. The data here are not time shifted.

Data Processing Description

These data have not been processed to any significant extent. The latitude and longitude positions reported are for the Wire Flyer vehicle, and not the ship. This position was calculated using measurements of the clump weight depth and the wire payout.

BCO-DMO Processing:
- concatenated data from 12 separate files into one dataset;
- created new column "deployment_id" (based on original file name);
- converted date/time field to ISO8601 format.

Data Files

File
4Hz_2017.csv (Comma Separated Values (.csv), 316.62 MB) MD5:b64e619094b123d2df88e8c92c6e9db3 Primary data file for dataset ID 860216

Supplemental Files

File
SKQ201701S Wire Flyer Summary Plots filename: summary_plots.zip (ZIP Archive (ZIP), 16.49 MB) MD5:81e1ebe72d60bf253110a9aa93a5fc21 Summary plots of data from 12 Wire Flyer deployments conducted on R/V Sikuliaq cruise SKQ201701S. There is one PDF for each deployment. The file naming convention is YYYYMMDD_HHMMSS, set at the start of the deployment, e.g. 20170125_151748. The times are all in GMT, not local time.
Wire Flyer Launch and Recover Document filename: flyer_launch_and_recover_document.pdf (Portable Document Format (.pdf), 7.26 MB) MD5:f9274b8c8b003b9a39083191e4f2c76b Document describing the Wire Flyer launch and recovery procedures.
Wire Flyer Overview 2019 filename: Wire_flyer_overview_2019.pdf (Portable Document Format (.pdf), 15.84 MB) MD5:7c3c14f839142f115c5aa467894395d7 Slides from a presentation by Christopher Roman titled "The Wire Flyer vehicle system and high resolution hydrographic sections".

More Information about this dataset

Funding Sources

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

Deployments

Deployment	Synonyms	Start Date	Platform	Investigator
SKQ201701S		2017-01-19	R/V Sikuliaq	Brad Seibel (Chief Scientist)	data info

Instruments

Aanderaa 4831F (fast-response) oxygen optode

Supplied Name: Aanderaa Optode 4831F

Supplied Description:

Oxygen data is from an Aanderaa Optode 4831F.

Instrument Type

Generic Name: Aanderaa 4831F (fast-response) oxygen optode

Acronym: Aanderaa 4831F

Generic Description:

A stand-alone oxygen optode with integrated temperature sensor, manufactured by Aanderaa. This instrument exploits the physio-chemical principle of dynamic fluorescence quenching to measure absolute oxygen concentration and percent saturation. Depth rating: 300 m, 3000 m or 6000 m; oxygen concentration accuracy of < 8 uM or 5 %, and resolution of < 1 uM; air saturation accuracy of < 5 %, and resolution of 0.4 %; response time (63 %): < 8 s.

Sea-Bird SBE 49 FastCAT CTD Sensor

Supplied Name: Seabird 49 Fast-CAT CTD

Supplied Description:

Temperature, salinity and depth are from a Seabird 49 Fast-CAT CTD.

Instrument Type

Generic Name: Sea-Bird SBE 49 FastCAT CTD Sensor

Acronym: SBE-49

Generic Description:

The SBE 49 FastCAT is a CTD sensor for use in autonomous platforms. It contains a SBE 3P temperature sensor, a SBE 4C conductivity sensor and a strain-gauge pressure sensor as standard. It can operate in autonomus (16 Hz per sec) or polled mode (transmits each sample). The sensor is depth-rated to 350 m (plastic housing) or 7000 m (titanium housing). Accuracy: +/- 0.002 deg C (temperature), +/- 0.0003 S/m (conductivity), 0.1% of full scale range (pressure).

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

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

Supplied Name	Supplied description	Supplied Units	Standard Name
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) Format: %Y-%m-%dT%H:%M:%S.%fZ	unitless	ISO_DateTime_UTC
Depth_m	depth calculated using seawater toolbox	meters (m)	depth
Lat	latitude of the Wire Flyer	degrees North	lat
Lon	longitude of the Wire Flyer	degrees East	lon
Pot_density	potential density calculated using seawater toolbox	kilograms per cubic meter (kg/m^3)	density
Air_sat_percent	air percent saturation	unitless (percent)	no_bcodmo_term
Chlorophyll_ug_per_L	chlorophyll	micrograms per liter (ug/L)	chl_a
Conductivity_sm	conductivity	siemens-meter (sm)	cond
Time_string	date-time string (GMT) in format where xxx represent milliseconds: YYYY-MM-DD hh:mm:ss.xxx	unitless	DateTime
deployment_id	identifier for the deployment; indicates the start date and time of deployment in format: YYYYMMDD_hhmmss (time zone is GMT)	unitless	deployno
Julian_day	Julian day	unitless	julian_day
optode_temp_C	optode temperature	degrees Celsius	temp
O2_con_umol	oxygen concentration	micromoles (umol)	O2
Pot_temperature_C	potential temperature calculated using seawater toolbox	degrees Celsius	potemp
Pressure_db	pressure	decibars (db)	press
Salinity_PSU	salinity calculated using seawater toolbox	PSU	sal
Sound_velocity_m_per_sec	sound velocity calculated using seawater toolbox	meters per second (m/s)	sound_vel
Temperature_C	temperature	degrees Celsius	temp
Turbidity_NTU	turbidity	NTU	turbidity
Unix_time_sec	Unix time	seconds	time
Vertical_velocity_m_per_sec_pos_down	vertical velocity	meters per second (m/s)	vtvel

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Dataset: 2017 Wire Flyer 4Hz data