Dissolved inorganic carbon (DIC), total alkalinity (TA) and other parameters collected from discrete sample and profile observations during the USCGC Healy cruise HLY1801 (EXPOCODE 33HQ20180807) in the Bering Sea, Chukchi Sea and Beaufort Sea along transect lines in the Distributed Biological Observatory (DBO) from 2018-08-07 to 2018-08-24 (NCEI Accession 0221911)
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title: Dissolved inorganic carbon (DIC), total alkalinity (TA) and other parameters collected from discrete sample and profile observations during the USCGC Healy cruise HLY1801 (EXPOCODE 33HQ20180807) in the Bering Sea, Chukchi Sea and Beaufort Sea along transect lines in the Distributed Biological Observatory (DBO) from 2018-08-07 to 2018-08-24 (NCEI Accession 0221911)
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abstract: This dataset includes chemical data from discrete samples and physical data from a profiling CTD collected during the USCGC Healy cruise HLY1801 (EXPOCODE 33HQ20180807) in the Bering Sea, Chukchi Sea and Beaufort Sea along transect lines in the Distributed Biological Observatory (DBO) from 2018-08-07 to 2018-08-24. Data was collected along transect lines in the Distributed Biological Observatory (DBO) areas DB01, 03, 04, and 05. These data include water temperature, CTD salinity, dissolved inorganic carbon (DIC), total alkalinity (TA), CTD dissolved oxygen, and nutrients (nitrate, nitrite, phosphate, silicate, and ammonium). The cruise was funded by the National Oceanic and Atmospheric Administration (NOAA) Arctic Research Program (ARP) and supported by numerous agencies and institutions including the National Science Foundation (NSF). The carbon data were collected from the Niskin Bottles and run using equipment from the Ocean Acidification Research Center (OARC) at the University of Alaska Fairbanks (UAF). The measurements of carbon-related parameters were funded by NOAA's Arctic Research Program and by the Cooperative Institute for Alaska Research and the Alaska Ocean Observing System. The CTD operations on the cruise were managed by personnel from the Woods Hole Oceanographic Research Institute (WHOI). Nutrient data were analyzed by the researchers from University of Washington Joint Institute for the Study of the Atmosphere (JISAO) and funded by the Ecosystems and Fisheries-Oceanography Coordinated Investigations (EcoFOCI) Program and NOAA's ARP. Phyllis Stabeno is co-Principal Investigator of the EcoFOCI program.
purpose: The Distributed Biological Observatory (DBO) is envisioned as a change detection array along a latitudinal gradient extending from the northern Bering Sea to the Barrow Arc. DBO sampling is focused on transects centered on locations of high productivity, biodiversity and rates of biological change.
credit: Funding Information: National Oceanic and Atmospheric Administration (NOAA) (Distributed Biological Observatory (DBO): Linking Physics and Biology)
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beginPosition: 2018-08-07
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description: Parameter or Variable: Dissolved Inorganic Carbon; Abbreviation: TCARBN; Unit: UMOL/KG; Observation type: Discrete sample; Measured or calculated: Measured; Sampling instrument: Discrete samples were drawn from a CTD Niskin; Analyzing instrument: Discrete samples were run on an AIRICA; Detailed sampling and analyzing information: The Automated Infra Red Inorganic Carbon Analyzer (AIRICA) by Marianda paired with a LiCOR LI-7000 Automated CO2 Analyzer was used to conduct an IR-detection of carbon dioxide with a carrier gas.; Standardization description: The samples were standardized using Certified Reference Materials (CRMs) provided by Dr. A. Dickson of Scripps Institution of Oceanography.; Standardization frequency: Daily; CRM manufacturer: Dr. A. Dickson of Scripps Institution of Oceanography; CRM batch number: 173-180; Preservation method: Mercuric chloride; Preservative volume: 200 uL; Uncertainty: 2 umol kg-1; Quality flag convention: Data flags: 1 = Shipboard, 2 = good, 3 = questionable, 4 = bad, 5 = no sample taken; Method reference: Mathis, J.T., J.N. Cross, W. Evans, and S.C. Doney. 2015. Ocean acidification in the surface waters of the Pacific-Arctic boundary regions. Oceanography 28(2):122-135, https://doi.org/10.5670/ oceanog.2015.36.; Researcher name: Jessica N. Cross; Researcher institution: NOAA PMEL.
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description: Parameter or Variable: Total alkalinity; Abbreviation: ALKALI; Unit: UMOL/KG; Observation type: Discrete sample; Measured or calculated: Measured; Sampling instrument: Discrete samples were drawn from a CTD Niskin; Analyzing instrument: Discrete samples were run on a VINDTA 3S; Type of titration: Potentiometric; Cell type (open or closed): Open; Curve fitting method: GRAN plot; Detailed sampling and analyzing information: The Versatile INstrument for the Determination of Total inorganic and titration of Alkalinity (VINDTA) by Marianda was used to conduct a potentiometric alkalinity titration with an open cell.; Standardization description: The samples were standardized using Certified Reference Materials (CRMs) provided by Dr. A. Dickson of Scripps Institution of Oceanography.; Standardization frequency: Daily; CRM manufacturer: Dr. A. Dickson of Scripps Institution of Oceanography; CRM batch number: 173-180; Preservation method: Mercuric chloride; Preservative volume: 200 uL; Uncertainty: 2 umol kg-1; Quality flag convention: Data flags: 1 = Shipboard, 2 = good, 3 = questionable, 4 = bad, 5 = no sample taken; Method reference: Mathis, J. T., Cross, J. N., Bates, N. R., Bradley Moran, S., Lomas, M. W., Mordy, C. W., and Stabeno, P. J. 2010. Seasonal distribution of dissolved inorganic carbon and net community production on the Bering and Chukchi Sea shelf, Biogeosciences, 7, 1769-1787, https://doi.org/10.5194/bg-7-1769-2010.; Researcher name: Jessica N. Cross; Researcher institution: NOAA PMEL.
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description: Parameter or Variable: Temperature; Abbreviation: CTDTMP_ITS90_DEG_C; Unit: DEG C (ITS-90); Observation type: Measured; Analyzing instrument: Seabird CTD; Detailed sampling and analyzing information: A profiling CTD 911 was used to collect the conductivity, temperature, and depth data at each station. Data are processed using Seabird CTD software and calibration file. Post-processing at WHOI includes filtering extreme outliers, extrapolation of values from the top value collected at ~3-5m to the surface. Each cast is visually reviewed for reasonableness and density inversions (greater than 0.02 sigma-t) caused by spurious measurements. This process is facilitated by comparison of the outputs of the 2 temperature and conductivity sensors. Profile data are bin-averaged to 1 meter.; Quality flag convention: Data flags: 1 = Shipboard, 2 = good, 3 = questionable, 4 = bad, 5 = no sample taken; Researcher name: Robert S. Pickart; Researcher institution: WHOI.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Salinity; Abbreviation: CTDSAL_PSS78; Unit: PSU (PSS-78); Observation type: Calculated; Analyzing instrument: Seabird CTD; Detailed sampling and analyzing information: A profiling CTD 911 was used to collect the conductivity, temperature, and depth data at each station. Data are processed using Seabird CTD software and calibration file. Post-processing at WHOI includes filtering extreme outliers, extrapolation of values from the top value collected at ~3-5m to the surface. Each cast is visually reviewed for reasonableness and density inversions (greater than 0.02 sigma-t) caused by spurious measurements. This process is facilitated by comparison of the outputs of the 2 temperature and conductivity sensors. Profile data are bin-averaged to 1 meter.; Quality flag convention: Data flags: 1 = Shipboard, 2 = good, 3 = questionable, 4 = bad, 5 = no sample taken; Researcher name: Robert S. Pickart; Researcher institution: WHOI.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Dissolved Oxygen; Abbreviation: CTDOXY_UMOL_KG; Unit: UMOL/KG; Observation type: Calculated; Analyzing instrument: Seabird 43; Detailed sampling and analyzing information: In situ data was collected from a profiling CTD 911 paied with a SBE 43 to collect dissolved oxygen data at each depth. Data were originally proceseed to filter out extreme outliers and reviewed for reasonableness, along with other profile data.; Uncertainty: 1 UMOL/KG; Quality flag convention: Data flags: 1 = Shipboard, 2 = good, 3 = questionable, 4 = bad, 5 = no sample taken; Researcher name: Calvin Mordy; Researcher institution: NOAA-PMEL.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Silicic acid; Abbreviation: SILCAT_UMOL_KG; Unit: UMOL/KG; Observation type: Measured; Sampling instrument: Discrete samples were drawn from a CTD Niskin; Analyzing instrument: Discrete samples were run on a continuous flow analyzer.; Detailed sampling and analyzing information: Samples were collected in 50 ml high-density polyethylene bottles that were rinsed first with 10% HCl prior to each station, and rinsed at least three times with sample before filling. Some samples were refrigerated for 3-12 hours prior to analysis. Nutrient samples were analyzed according to the methods of Gordon, et al (1993). Ammonium was measured using an indophenol blue method modified from Mantoura and Woodward (1983).; Replicate information: In a direct comparison of EcoFOCI and BASIS methods, replicate frozen samples from the Bering and Chukchi Sea were analyzed with each method and found to be within 0.5 μM nitrate, 0.04 μM nitrite, and 0.7 μM ammonium (SD, n = 13).; Quality flag convention: Data flags: 1 = Shipboard, 2 = good, 3 = questionable, 4 = bad, 5 = no sample taken; Method reference: Gordon, I., Jennings, J.C., Ross, J.A., Krest, J. 1993. A Suggested Protocol for Continuous Flow Automated Analysis of Seawater Nutrients (Phosphate, Nitrate, Nitrite and Silicic Acid) in the WOCE Hydrographic Program and the Joint Global Ocean Fluxes Study. Methods Manual WHPO. 91-1. Mantoura, R.F.C., Woodward, E.M.S., 1983. Optimization of the indophenol blue method for the automated determination of ammonia in estuarine waters. Estuar. Coast. Shelf Sci. 17, 219-224.; Researcher name: Calvin Mordy; Researcher institution: NOAA-PMEL.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Nitrate; Abbreviation: NITRAT_UMOL_KG; Unit: UMOL/KG; Observation type: Measured; Sampling instrument: Discrete samples were drawn from a CTD Niskin; Analyzing instrument: Discrete samples were run on a continuous flow analyzer.; Detailed sampling and analyzing information: Samples were collected in 50 ml high-density polyethylene bottles that were rinsed first with 10% HCl prior to each station, and rinsed at least three times with sample before filling. Some samples were refrigerated for 3-12 hours prior to analysis. Nutrient samples were analyzed according to the methods of Gordon, et al (1993). Ammonium was measured using an indophenol blue method modified from Mantoura and Woodward (1983).; Replicate information: In a direct comparison of EcoFOCI and BASIS methods, replicate frozen samples from the Bering and Chukchi Sea were analyzed with each method and found to be within 0.5 μM nitrate, 0.04 μM nitrite, and 0.7 μM ammonium (SD, n = 13).; Quality flag convention: Data flags: 1 = Shipboard, 2 = good, 3 = questionable, 4 = bad, 5 = no sample taken; Method reference: Gordon, I., Jennings, J.C., Ross, J.A., Krest, J. 1993. A Suggested Protocol for Continuous Flow Automated Analysis of Seawater Nutrients (Phosphate, Nitrate, Nitrite and Silicic Acid) in the WOCE Hydrographic Program and the Joint Global Ocean Fluxes Study. Methods Manual WHPO. 91-1. Mantoura, R.F.C., Woodward, E.M.S., 1983. Optimization of the indophenol blue method for the automated determination of ammonia in estuarine waters. Estuar. Coast. Shelf Sci. 17, 219-224.; Researcher name: Calvin Mordy; Researcher institution: NOAA-PMEL.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Nitrite; Abbreviation: NITRIT_UMOL_KG; Unit: UMOL/KG; Observation type: Measured; Sampling instrument: Discrete samples were drawn from a CTD Niskin; Analyzing instrument: Discrete samples were run on a continuous flow analyzer.; Detailed sampling and analyzing information: Samples were collected in 50 ml high-density polyethylene bottles that were rinsed first with 10% HCl prior to each station, and rinsed at least three times with sample before filling. Some samples were refrigerated for 3-12 hours prior to analysis. Nutrient samples were analyzed according to the methods of Gordon, et al (1993). Ammonium was measured using an indophenol blue method modified from Mantoura and Woodward (1983).; Replicate information: In a direct comparison of EcoFOCI and BASIS methods, replicate frozen samples from the Bering and Chukchi Sea were analyzed with each method and found to be within 0.5 μM nitrate, 0.04 μM nitrite, and 0.7 μM ammonium (SD, n = 13).; Quality flag convention: Data flags: 1 = Shipboard, 2 = good, 3 = questionable, 4 = bad, 5 = no sample taken; Method reference: Gordon, I., Jennings, J.C., Ross, J.A., Krest, J. 1993. A Suggested Protocol for Continuous Flow Automated Analysis of Seawater Nutrients (Phosphate, Nitrate, Nitrite and Silicic Acid) in the WOCE Hydrographic Program and the Joint Global Ocean Fluxes Study. Methods Manual WHPO. 91-1. Mantoura, R.F.C., Woodward, E.M.S., 1983. Optimization of the indophenol blue method for the automated determination of ammonia in estuarine waters. Estuar. Coast. Shelf Sci. 17, 219-224.; Researcher name: Calvin Mordy; Researcher institution: NOAA-PMEL.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Phosphate; Abbreviation: PHSPHT_UMOL_KG; Unit: UMOL/KG; Observation type: Measured; Sampling instrument: Discrete samples were drawn from a CTD Niskin; Analyzing instrument: Discrete samples were run on a continuous flow analyzer.; Detailed sampling and analyzing information: Samples were collected in 50 ml high-density polyethylene bottles that were rinsed first with 10% HCl prior to each station, and rinsed at least three times with sample before filling. Some samples were refrigerated for 3-12 hours prior to analysis. Nutrient samples were analyzed according to the methods of Gordon, et al (1993). Ammonium was measured using an indophenol blue method modified from Mantoura and Woodward (1983).; Replicate information: In a direct comparison of EcoFOCI and BASIS methods, replicate frozen samples from the Bering and Chukchi Sea were analyzed with each method and found to be within 0.5 μM nitrate, 0.04 μM nitrite, and 0.7 μM ammonium (SD, n = 13).; Quality flag convention: Data flags: 1 = Shipboard, 2 = good, 3 = questionable, 4 = bad, 5 = no sample taken; Method reference: Gordon, I., Jennings, J.C., Ross, J.A., Krest, J. 1993. A Suggested Protocol for Continuous Flow Automated Analysis of Seawater Nutrients (Phosphate, Nitrate, Nitrite and Silicic Acid) in the WOCE Hydrographic Program and the Joint Global Ocean Fluxes Study. Methods Manual WHPO. 91-1. Mantoura, R.F.C., Woodward, E.M.S., 1983. Optimization of the indophenol blue method for the automated determination of ammonia in estuarine waters. Estuar. Coast. Shelf Sci. 17, 219-224.; Researcher name: Calvin Mordy; Researcher institution: NOAA-PMEL.
processStep: (LE_ProcessStep)
description: Parameter or Variable: Ammonium; Abbreviation: AMMONIUM_UMOL_KG; Unit: UMOL/KG; Observation type: Measured; Sampling instrument: Discrete samples were drawn from a CTD Niskin; Analyzing instrument: Discrete samples were run on a continuous flow analyzer.; Detailed sampling and analyzing information: Samples were collected in 50 ml high-density polyethylene bottles that were rinsed first with 10% HCl prior to each station, and rinsed at least three times with sample before filling. Some samples were refrigerated for 3-12 hours prior to analysis. Nutrient samples were analyzed according to the methods of Gordon, et al (1993). Ammonium was measured using an indophenol blue method modified from Mantoura and Woodward (1983).; Replicate information: In a direct comparison of EcoFOCI and BASIS methods, replicate frozen samples from the Bering and Chukchi Sea were analyzed with each method and found to be within 0.5 μM nitrate, 0.04 μM nitrite, and 0.7 μM ammonium (SD, n = 13).; Quality flag convention: Data flags: 1 = Shipboard, 2 = good, 3 = questionable, 4 = bad, 5 = no sample taken; Method reference: Gordon, I., Jennings, J.C., Ross, J.A., Krest, J. 1993. A Suggested Protocol for Continuous Flow Automated Analysis of Seawater Nutrients (Phosphate, Nitrate, Nitrite and Silicic Acid) in the WOCE Hydrographic Program and the Joint Global Ocean Fluxes Study. Methods Manual WHPO. 91-1. Mantoura, R.F.C., Woodward, E.M.S., 1983. Optimization of the indophenol blue method for the automated determination of ammonia in estuarine waters. Estuar. Coast. Shelf Sci. 17, 219-224.; Researcher name: Calvin Mordy; Researcher institution: NOAA-PMEL .
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metadataMaintenance: (MD_MaintenanceInformation)
maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) asNeeded
maintenanceNote: Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
maintenanceNote: NCEI Accession 0221911 was revised and a new version of the archival package was published. Updates to existing archival packages may provide additional files or replace obsolete files. The latest version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession. Please see journal.txt in the /about directory for additional details on changes made.
contact: (CI_ResponsibleParty)
organisationName: NOAA National Centers for Environmental Information
role: (CI_RoleCode) custodian
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acquisitionInformation: (MI_AcquisitionInformation)
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: carbon dioxide (CO2) gas analyzer
type: carbon dioxide (CO2) gas analyzer
description: measures gaseous carbon dioxide Carbon dioxide gas analyzer has often been referred to as LI-COR, because a lot of researchers choose to use products manufactured by LI-COR incorporation for their carbon dioxide measurement. The main component of a carbon dioxide analyzer is a nondispersive infrared (NDIR) spectroscopic sensors to detect CO2 in a gaseous environment by its characteristic absorption. Carbon dioxide (CO2) gas analyzer works together with carbon dioxide (CO2) equilibrator (insttypes_id 184) to measure carbon dioxide in the water. To measure water carbon dioxide, water needs to be continuously supplied to a showerhead inside an equilibrator. As the water flows through the equilibrator chamber, dissolved carbon dioxide exchanges quickly with air in the headspace. This air is then sampled by the carbon dioxide analyzer to determine the mole fraction of CO2 in water.
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: CTD
type: CTD
description: Conductivity-Temperature-Depth probe
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: Niskin bottle
type: Niskin bottle
description: Device for obtaining samples of seawater at a specific depth Why special entry for Niskin bottle but no entry for Nansen bottle?
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: nutrient autoanalyzer
type: nutrient autoanalyzer
description: Laboratory Instrument Nutrient Autoanalyzer is a generic term describing an automated flow-thru system used to conduct analyses of several different nutrients (nitrate, ammonium, orthophosphate, and silicate) simultaneously from a seawater sample. For example: SEAL AutoAnalyzer 3 HR Continuous Segmented Flow Analyzer
platform: (MI_Platform)
identifier: (MD_Identifier)
code: USCGC Healy
description: There are two US platforms named HEALY: - 33HQ is the identifier for the USCGC HEALY (operational 1999 to present) - 32H1 is the identifier for USS HEALY (operational 1943-1958). Updated information confirmed in ICES database by NOAA on 21 Jan 2011. PLEASE NOTE: This platform ID (33HQ) *is* the USCGC HEALY that was launched on November 15, 1997. Updated information confirmed in ICES database by NOAA on 21 Jan 2011. Title: USCGC Pennant: WAGB-20 Flag: United States of America Vessel Type: Icebreaker DOB: Nov 1999 IMO: 9083380 The HEALY's home page URL is http://www.uscg.mil/pacarea/healy.
instrument: (missing)
