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Data for: "Apportionment and Inventory Optimization of Agriculture and Energy Sector Methane Emissions using Multi-month Trace Gas Measurements in Northern Colorado"

This dataset contains 1) the methane, ethane, ammonia, and water mixing ratio time series recorded at the Platteville Atmospheric Observatory site, 2) the hourly mean energy and agriculture apportioned methane mixing ratio time series, and 3) the atmospheric transport matrix H used for the Bayesian inversion analysis.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2023-05-15 00:00:00
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

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Table representation of structured data
Title Data for: "Apportionment and Inventory Optimization of Agriculture and Energy Sector Methane Emissions using Multi-month Trace Gas Measurements in Northern Colorado"
Description This dataset contains 1) the methane, ethane, ammonia, and water mixing ratio time series recorded at the Platteville Atmospheric Observatory site, 2) the hourly mean energy and agriculture apportioned methane mixing ratio time series, and 3) the atmospheric transport matrix H used for the Bayesian inversion analysis.
Modified 2023-05-15 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:[email protected]
Keywords frequency comb , Bayesian inversion , dynamic linear model , methane , emissions inventory , ethane , oil and natural gas , ammonia , agriculture
{
    "identifier": "ark:\/88434\/mds2-3020",
    "accessLevel": "public",
    "contactPoint": {
        "hasEmail": "mailto:[email protected]",
        "fn": "Griffin Mead"
    },
    "programCode": [
        "006:045"
    ],
    "landingPage": "",
    "title": "Data for: \"Apportionment and Inventory Optimization of Agriculture and Energy Sector Methane Emissions using Multi-month Trace Gas Measurements in Northern Colorado\"",
    "description": "This dataset contains 1) the methane, ethane, ammonia, and water mixing ratio time series recorded at the Platteville Atmospheric Observatory site, 2) the hourly mean energy and agriculture apportioned methane mixing ratio time series, and 3) the atmospheric transport matrix H used for the Bayesian inversion analysis.",
    "language": [
        "en"
    ],
    "distribution": [
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3020\/Hourly_mean_sector-apportioned_methane.csv",
            "description": "Time series for hourly mean agriculture and oil and natural gas apportioned methane mixing ratios observed at the Platteville Atmospheric Observatory. Used for Bayesian inversion analysis; units of [ppm]; time series for hours between 11-16 local time.",
            "mediaType": "text\/csv",
            "title": "Hourly mean sector-apportioned methane"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3020\/PAO_TimeSeries.csv",
            "description": "Contains the full time series of retrieved concentrations (*_[ppm]), temperatures (*_[K]), and pressures (*_[mbar]) for water, methane, and ethane measured with the mid-infrared dual comb spectrometer. The numeral \"_1_\" indicates the first HITRAN202 isotopologue of each molecule was used for analysis (e.g. H2O_1_ == H_{2}O^{16}). Ammonia and methane mixing ratios measured with cavity ring-down spectrometers are denoted \"_CRDS_[ppm]\". Data are interpolated onto the MIR-DCS time base.Meteorological data from the NOAA PVL station are denoted with the prefix \"PVL_\". Data are interpolated onto the MIR-DCS time base.",
            "mediaType": "text\/csv",
            "title": "PAO Time Series"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3020\/README.txt",
            "format": "text file",
            "description": "This dataset contains 1) the methane, ethane, ammonia, and water mixing ratiotime series recorded at the Platteville Atmospheric Observatory site, 2) thehourly mean energy and agriculture apportioned methane mixing ratio time series,and 3) the atmospheric transport matrix H used for the Bayesian inversionanalysis.",
            "mediaType": "text\/plain",
            "title": "README"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3020\/H_matrix.npy.zip",
            "format": "zipped numpy binary",
            "description": "Zipped numpy binary containing the STILT-R footprints.",
            "mediaType": "application\/zip",
            "title": "H matrix binary zip file"
        }
    ],
    "bureauCode": [
        "006:55"
    ],
    "modified": "2023-05-15 00:00:00",
    "publisher": {
        "@type": "org:Organization",
        "name": "National Institute of Standards and Technology"
    },
    "theme": [
        "Environment:Greenhouse gas measurements"
    ],
    "keyword": [
        "frequency comb",
        "Bayesian inversion",
        "dynamic linear model",
        "methane",
        "emissions inventory",
        "ethane",
        "oil and natural gas",
        "ammonia",
        "agriculture"
    ]
}