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Global reconstruction of surface oceanic N2O disequilibrium and its associated flux from 1971-06-09 to 2018-06-04 (NCEI Accession 0288310)

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This dataset contains chemical, meteorological, and physical data collected in the Adriatic Sea, Aegean Sea, Arabian Sea, Arctic Ocean, Bali Sea, Baltic Sea, Bass Strait, Bay of Bengal, Bering Sea, Black Sea, Celebes Sea (Sulawesi Sea and Mindanao Sea), Coral Sea, East China Sea (Tung Hai), East Siberian Sea, English Channel, Great Australian Bight, Greenland Sea (including Iceland Sea and North Greenland Sea), Gulf of Aden, Gulf of Guinea, Gulf of Oman, Gulf of Suez, Indian Ocean, Ionian Sea, Japan Sea, Java Sea, Kattegat, The Sound, Great Belt, Little Belt, Laccadive Sea, Makassar Strait, Mediterranean Sea, Mediterranean Sea - Eastern Basin, Mediterranean Sea - Western Basin, Mozambique Channel, North Atlantic Ocean, North Pacific Ocean, North Sea, Norwegian Sea, Persian Gulf (Gulf of Iran), Philippine Sea, Red Sea, Sea of Okhotsk, Skagerrak, South Atlantic Ocean, South China Sea (Nan Hai), South Pacific Ocean, Southern Ocean, Sulu Sea, and Tasman Sea from 1971-06-09 to 2018-06-04. These data include Nitrous Oxide, barometric pressure, depth, salinity calculated from CTD primary sensors, and water temperature. The instruments used to collect these data include Gas Chromatograph and Isotope-ratio Mass Spectrometer. These data were collected by Daniele Bianchi and Simon Yang of University of California-Los Angeles as part of the "CAREER: Multiple Scales of Nitrogen Cycle in Oxygen Minimum Zones (Multiple Scales of Nitrogen Cycle in the Ocean)" project. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2020-05-01.

The following is the text of the dataset description provided by BCO-DMO:

Global reconstruction of surface oceanic N2O disequilibrium and its associated flux

Dataset Description:
Global reconstruction of surface oceanic N2O disequilibrium and its associated flux. The dataset includes 3 files:
(1) surfocean-n2o-compilation.csv : available as a .csv/.tsv file via the "Get Data" button on the BCO-DMO landing page. A global compilation of observed surface ocean nitrous oxide pressure, concentration, mixing ratio measurements and their implied nitrous oxide disequilibrium used to train the supervised learning algorithm. Also attached as a .mat file ( surfocean-n2o-compilation.mat ) under "Data Files".
(2) dn2o-mapped-Yang2020.nc : available under "Data Files". Predicted N2O disequilibrium.
(3) n2oFlux-Yang2020.nc : available under "Data Files". The predicted ocean to atmosphere N2O flux.

This dataset contains a compilation of data from multiple sources. A list of all datasets and the associated information, including cruise name, is included in the associated Supplemental File, "SuppCruiseTable_dec11.xlsx".
  • Cite as: Bianchi, Daniele; Yang, Simon (2024). Global reconstruction of surface oceanic N2O disequilibrium and its associated flux from 1971-06-09 to 2018-06-04 (NCEI Accession 0288310). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0288310. Accessed [date].
gov.noaa.nodc:0288310
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Distribution Formats
  • MAT-file
  • Open Excel
  • TSV
  • netCDF
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Distributor NOAA National Centers for Environmental Information
+1-301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 1971-06-09 to 2018-06-04
Spatial Bounding Box Coordinates
West: 0
East: 179.998
South: -70.451
North: 79.696
Spatial Coverage Map
General Documentation
Associated Resources
  • Biological, chemical, physical, biogeochemical, ecological, environmental and other data collected from around the world during historical and contemporary periods of biological and chemical oceanographic exploration and research managed and submitted by the Biological and Chemical Oceanography Data Management Office (BCO-DMO)
    • NCEI Collection
      Navigate directly to the URL for data access and direct download.
  • Bianchi, D., Yang, S. (2020) Global reconstruction of surface oceanic N2O disequilibrium and its associated flux. Dataset version 2020-04-27. https://doi.org/10.26008/1912/bco-dmo.810032.1
  • Parent ID (indicates this dataset is related to other data):
    • gov.noaa.nodc:BCO-DMO
Publication Dates
  • publication: 2024-02-02
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Supplemental Information
Acquisition Description:
We compiled surface (0m-12m depth) marine N2O concentrations and partial pressures measurements from a variety of sources. The core of the data is sourced from the MEMENTO database (Kock & Bange, 2015). We complement MEMENTO with additional published N2O measurements from the literature, and unpublished N2O measurements from 16 additional cruises (see Supplemental File "SuppCruiseTable_dec11.xlsx"), including 11 cruises from the Global Ocean Ship-Based Hydrographic Investigations Program (GO-SHIP). We do not perform any further quality control of the N2O data from published sources besides that performed by the individual contributors and the MEMENTO database administrators (Kock & Bange, 2015). A description of the quality control performed on new unpublished N2O data is reported as footnotes to the annotations labeled as qc1**, qc2**, or qc3** (see "SuppCruiseTable_dec11.xlsx"). We convert each marine N2O measurement to XwN2O (the N2O mixing ratio in seawater, in units of ppb) using, when needed, the N2O solubility coefficient (Weiss & Price, 1980). The coefficient is calculated using co-measured temperature, and salinity, as well as sea level pressure from the ERA5 reanalysis (Copernicus Climate Change Service, 2017), at the time (month and year), and location of the measurement. If the measurement time is not available in the ERA5 reanalysis prediction, we instead use the climatological atmospheric pressure at sea level, calculated from the monthly predictions for the years from 1979 through 2018. We then calculated N2O disequilibrium as DN2O = XwN2O − XaN2O, where XaN2O is the atmospheric N2O mixing ratio estimated by linear interpolation of NOAA’s flask measurement dataset (Hall et al., 2007) at the time and latitude of each marine N2O measurement.;

To convert sparse observations to a global climatology, we trained 100 ensembles of regressions trees (Random Forests) to predict DN2O based on its relationship to well-sampled physical and biogeochemical predictors. We note that, while the prediction of N2O disequilibrium is done in mixing ratio units (ppb), the results are reported in the more commonly used pressure units (natm): pN2O = XN2O . P, where P is the climatological atmospheric pressure at sea level in atm, predicted by ERA5, included as part of the relevant data file for easy conversion. (see Data File: dn2o-mapped-Yang2020.nc).

We calculate the N2O air-sea flux using two wind-speed dependent parameterizations: an updated version of a commonly-used quadratic formulation (Wanninkhof, 1992; Wanninkhof, 2014) and a recent formulation that explicitly accounts for the effect of bubble-mediated fluxes (Liang et al., 2013). We apply each parameterization to two high-resolution wind products (Copernicus Climate Change Service, 2017; Wentz et al., 2015), yielding four permutations of the piston velocity. In total, we obtain an ensemble of 400 global N2O air-sea flux estimates, from which we calculate a mean and uncertainty range (see Data File: n2oFlux-Yang2020.nc).

Sampling and analytical prodcedures:
The data is compiled from multiple sources, published and unpublished. Refer to the associated Supplemental File "SuppCruiseTable_dec11.xlsx" for a detailed description of sampling and analytical methods associated with new data and references associated with published data. "qc" refers to "qualtiy control and methods"; see related references and descriptions in the Supplemental File.

GOSHIP (qc1): N2O was measured using shipboard gas chromatography-electron capture detection (GC-ECD) using analytical techniques modified from those described in Bullister and Wisegarver (2008). N2O was purged from 200 mL seawater samples using N2 carrier gas and trapped onto a trap that included MS5A held at -60°C. The trap was subsequently heated to 175°C to release N2O, which was further separated and purified via two precolumns before being quantified using electron capture detection. (The carrier gas for the N2O analyses was a 95%Ar/5% CH4 mix) The analytical system was calibrated frequently using internal standards of known N2O compositions or standards from Working Group no. 143 of the Scientific Committee on Oceanic Research (SCOR) (Wilson et al. 2018). Concentrations of N2O in seawater samples and gas standards are reported relative to the SIO98 calibration scale.

SPOT (qc3): Dissolved N2O concentrations were measured using a headspace equilibration method modified from Laperriere et al. (2019). A 30-mL ultra-high purity N2 headspace was introduced into 160 mL seawater samples using a 30-mL syringe with a second empty 30-mL syringe inserted into the septum to collect displaced sample water. Each headspace was overpressured with 10 mL of ultra high purity N2 to minimize atmospheric contamination. Samples were analyzed on an SRI 8610 Greenhouse Gas Monitoring Gas Chromatograph (GC) equipped with an electron capture detector (ECD), dual HayeSep D packed columns, and a 1-mL sample loop (SRI Instruments, Torrance, California, USA). Ultra-high purity N2 gas was used as the carrier with the sample loop kept at 60 °C and the column oven kept at 100 °C. Two certified standards, 0.1 ppm and 1 ppm N2O (Matheson Tri-Gas) were used for daily calibration using a linear calibration scheme.

Others (qc2): N2O concentrations were measured with a GV IsoPrime Continuous Flow Isotope-Ratio Mass Spectrometer (CF-IRMS) as described in Bourbonnais et al. (2017). Briefly, seawater was pumped from sample bottles and completely extracted using a gas-extractor continuously sparged with He. N2O was then concentrated and purified in a purge-trap system. CO2 and H2O were removed with chemical and cryogenic traps. N2O was cryofocused with liquid N2 traps and passed through a gas chromatography (GC) column before IRMS analysis. N2O concentrations were calculated from relative peak heights between the samples and seawater standards of known N2O concentration equilibrated with the atmosphere at 5C and 20C. Equilibrium surface N2O concentrations were calculated based on the global mean atmospheric N2O dry mole fraction at the time of the cruise. The data were inter calibrated with samples also measured using purge-trap gas extraction systems coupled with either a GC-Electron Capture Detector (ECD) or a GC-quadrupole mass spectrometer (Fenwick et al., 2017) when available (e.g., P18 GO-SHIP, ArcticNet 2017 expedition) and yielded comparable N2O concentrations (generally less than 5% difference).

The data is compiled from multiple sources, published and unpublished. Refer to the Supplemental File, "SuppCruiseTable_dec11.xlsx", for a detailed description of sampling and analytical methods associated with new data and references associated with published data.
Purpose This dataset is available to the public for a wide variety of uses including scientific research and analysis.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Bianchi, Daniele; Yang, Simon (2024). Global reconstruction of surface oceanic N2O disequilibrium and its associated flux from 1971-06-09 to 2018-06-04 (NCEI Accession 0288310). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0288310. Accessed [date].
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Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
BCO-DMO Standard Parameters Global Change Master Directory (GCMD) Science Keywords Originator Parameter Names
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Instrument keywords NODC INSTRUMENT TYPES THESAURUS BCO-DMO Standard Instruments Global Change Master Directory (GCMD) Instrument Keywords Originator Instrument Names
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords
Project keywords BCO-DMO Standard Projects Provider Funding Award Information
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Bianchi, Daniele; Yang, Simon (2024). Global reconstruction of surface oceanic N2O disequilibrium and its associated flux from 1971-06-09 to 2018-06-04 (NCEI Accession 0288310). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0288310. Accessed [date].
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Access Constraints
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
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  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Processing Steps
  • 2024-02-02T15:19:26Z - NCEI Accession 0288310 v1.1 was published.
Output Datasets
Acquisition Information (collection)
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  • chromatograph
  • mass spectrometer
Last Modified: 2024-05-31T15:15:28Z
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