Dataset: Model-building biogeochemical data set from ASPIRE

Name: ASPIRE station data used to develop 1-D and 3-D numerical models from the Nathaniel B. Palmer in the Amundsen Sea from 2010-12-14 through 2011-01-05
Published: 2019-04-17
Keywords: oceans

Cite This Dataset

DOI:10.1575/1912/bco-dmo.765081.1

Spatial Extent: N:-72.72 E:-112 S:-73.97 W:-118.03

Temporal Extent: 2010-12-14 - 2011-01-05

Project:

Collaborative Research: Investigating the Role of Mesoscale Processes and Ice Dynamics in Carbon and Iron Fluxes in a Changing Amundsen Sea (INSPIRE) (INSPIRE)

Principal Investigator:

Patricia L. Yager (University of Georgia, UGA)

Co-Principal Investigator:

Robert M. Sherrell (Rutgers University)

Contact:

Hilde Oliver (University of Georgia, UGA)

BCO-DMO Data Manager:

Mathew Biddle (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2019-04-17

Restricted:

Validated:

Yes

Current State:

Final no updates expected

ASPIRE station data used to develop 1-D and 3-D numerical models from the Nathaniel B. Palmer in the Amundsen Sea from 2010-12-14 through 2011-01-05

Abstract:

Hydrographic profiles and discrete water samples were collected from each station using a conventional shipboard conductivity-temperature-depth (CTD; Sea-Bird 911+) sensor and a 24 × 10 L Niskin bottle rosette sampler (General Oceanics). Potential temperature (θ) and salinity (S) were recorded continuously as a function of depth and at the moment of Niskin bottle closure (see Yager et al., 2016). Trace-metal samples were collected similarly using a trace-metal-clean CTD-rosette system (see Sherrell et al., 2015) that was deployed at the same location just before or after the conventional CTD.

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Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2019-04-17	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.1575/1912/bco-dmo.765081.1	2019-04-17

Description

Trace-metal samples were collected similarly using a trace-metal-clean CTD-rosette system (see Sherrell et al., 2015) that was deployed at the same location just before or after the conventional CTD.

Methods & Sampling

Dissolved inorganic nutrient samples were pre-filtered through 0.45-μm polycarbonate syringe filters, kept refrigerated, and analyzed onboard the ship within 1 day of sampling. Nitrate (NO3−), nitrite (NO2−), am- monium (NH4+), phosphate (HPO42−), and silicic acid (Si(OH)4) were measured using a five-channel Lachat Instruments QuikChem FIA+ 8000s series autoanalyzer in conjunction with a Lachat Instruments XYZ AutoSampler (ASX-500 Series), two Lachat Instruments RP-100 Series peristaltic Reagent Pumps, and Omnion Software, version 3.0.220.02.

Seawater samples were analyzed for dissolved Fe over the period of January to August 2012, using an automated flow injection ICP-MS method developed at Rutgers University (Lagerström et al., 2013). Briefly, the automated device loaded a 9 mL aliquot of seawater, buffered online to pH 7.0 with 3 mL of acetic acid/ammonium hydroxide buffer, onto a column packed with Nobias PA1 chelating resin (Hitachi High-Technologies). The column was eluted with 1.5 M nitric acid directly into the nebulizer of an Element-1 sector field ICP-MS (Thermo-Finnigan, Bremen, Germany). The eluate, a 200-fold concentrate of the sample, was analyzed in medium resolution and temporal peak integration was performed in Matlab using a script written in-house. Quantification was carried out using isotope dilution (Fe, Ni, Cu and Zn) or a matrix-matched external standard curve (Mn).

Samples for particulate organic carbon (POC) and nitrogen (PN) were collected by cleanly filtering 100–600 mL of seawater onto a 25-mm diameter, combusted GF/F filter (nominal pore size of 0.7 μm) which was then folded sample side in and frozen at −80°C. Samples were processed at Rutgers University and analyzed using a Carlo-Erba CHN analyzer (Hedges and Stern, 1984).

Water column Chl a concentration (used as a proxy for algal biomass) was measured onboard ship using acetone extraction and a spectrofluorometer (Alderkamp et al., 2015). Shipboard values were calibrated against a second set of samples collected similarly, flash-frozen in liquid N2, stored at −80°C, and analyzed at Mote Marine Lab using HPLC (Wright et al., 1991; see Alderkamp et al., 2015).

Data Processing Description

BCO-DMO Processing Notes:
- combined data files on columns LocalDate, Station, and Depth
- appended latitude and longitude coordinates for each station
- sorted data by LocalDate, Station, Depth
- added conventional header with dataset name, PI name, version date

Data Files

File
combined.csv (Comma Separated Values (.csv), 12.21 KB) MD5:bab82fc18adae4a0ff01a06b10aab864 Primary data file for dataset ID 765081

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Antarctic Sciences	ANT-0839069
NSF Antarctic Sciences	ANT-0838995
NSF Antarctic Sciences	ANT-0838975
NSF Antarctic Sciences	ANT-0839012
NSF Antarctic Sciences	ANT-0944727
NSF Office of Polar Programs (formerly NSF PLR)	OPP-1443657
NSF Office of Polar Programs (formerly NSF PLR)	OPP-1443604
NSF Office of Polar Programs (formerly NSF PLR)	OPP-1443315
NSF Office of Polar Programs (formerly NSF PLR)	OPP-1443569

Deployments

Deployment	Synonyms	Start Date	Platform	Investigator
NBP1005	ASPIRE OSO 2010-11	2010-11-26	RVIB Nathaniel B. Palmer	Patricia L. Yager (Chief Scientist)	data info

Instruments

CHN Elemental Analyzer

Supplied Name: Carlo-Erba CHN analyzer

Supplied Description:

Samples were processed at Rutgers University and analyzed using a Carlo-Erba CHN analyzer (Hedges and Stern, 1984).

Instrument Type

Generic Name: CHN Elemental Analyzer

Acronym: CHN_EA

Generic Description:

A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.

CTD Sea-Bird SBE 911plus

Supplied Name: Sea-Bird 911+

Supplied Description:

Hydrographic profiles and discrete water samples were collected from each station using a conventional shipboard conductivity-temperature-depth (CTD; Sea-Bird 911+) sensor.

Instrument Type

Generic Name: CTD Sea-Bird SBE 911plus

Acronym: CTD SBE 911plus

Community Identifier: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0058/

Generic 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

Niskin bottle

Supplied Description:

24 × 10 L Niskin bottle rosette sampler (General Oceanics)

Instrument Type

Generic Name: Niskin bottle

Community Identifier: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/

Generic Description:

A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.

Nutrient Autoanalyzer

Supplied Name: Lachat Instruments QuikChem FIA+ 8000s series autoanalyzer

Supplied Description:

Nitrate (NO3−), nitrite (NO2−), am- monium (NH4+), phosphate (HPO42−), and silicic acid (Si(OH)4) were measured using a five-channel Lachat Instruments QuikChem FIA+ 8000s series autoanalyzer in conjunction with a Lachat Instruments XYZ AutoSampler (ASX-500 Series)

Instrument Type

Generic Name: Nutrient Autoanalyzer

Community Identifier: http://vocab.nerc.ac.uk/collection/L05/current/LAB04/

Generic Description:

Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.

Parameters

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

Supplied Name	Supplied description	Supplied Units	Standard Name
Station	ASPIRE station identifier	unitless	sta
LocalDate	Date of ASPIRE sampling in yyyy-mm-dd format	unitless	date
Depth	Depth of sampling	meters (m)	depth
Chla	Chlorophyll a concentration	miligram per meter cubed (mg m-3)	chl_a
DissFe	Particulate organic nitrogen.	milimole per meter cubed (mmol m-3)	Fe
TotalDIN	Total dissolved inorganic nitrogen	milimole per meter cubed (mmol m-3)	DIN
PON	Particulate organic nitrogen.	mmol m-3	PON
lons	longitude with east values positive	decimal degrees	lon
lats	latitude with north values positive	decimal degrees	lat