Pre-ABoVE: Particle Trajectories for WRF-STILT Model, Barrow, AK, 1982-2011
This dataset provides Stochastic Time-Inverted Lagrangian Transport model outputs for receptors located at the NOAA Barrow Alaska Observatory for 12 selected years (15 August to 15 October) across the 30-year, 1982 to 2011, study timeframe. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio (ppm --- CO2; ppb --- CH4) per (umol m-2 s-1 --- CO2; nmol m-2 s-1 --- CH4), quantifies the influence of upwind surface fluxes on concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. The simulation results included in this dataset are crucial for understanding changes in Arctic carbon cycling and are part of a retrospective analysis to link changes in atmospheric composition at Arctic receptor sites with shifts in ecosystem structure and function.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"026:00"
]
|
| contactPoint |
{
"fn": "Earthdata Forum",
"@type": "vcard:Contact",
"hasEmail": "mailto:earthdata-support@nasa.gov"
}
|
| description | This dataset provides Stochastic Time-Inverted Lagrangian Transport model outputs for receptors located at the NOAA Barrow Alaska Observatory for 12 selected years (15 August to 15 October) across the 30-year, 1982 to 2011, study timeframe. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio (ppm --- CO2; ppb --- CH4) per (umol m-2 s-1 --- CO2; nmol m-2 s-1 --- CH4), quantifies the influence of upwind surface fluxes on concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. The simulation results included in this dataset are crucial for understanding changes in Arctic carbon cycling and are part of a retrospective analysis to link changes in atmospheric composition at Arctic receptor sites with shifts in ecosystem structure and function. |
| distribution |
[
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"downloadURL": "https://daac.ornl.gov/ABOVE/guides/Alaska_L4_WRF_STILT_Particle_Fig1.png"
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"downloadURL": "https://doi.org/10.3334/ORNLDAAC/1571"
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|
| identifier | 10.3334/ORNLDAAC/1571 |
| keyword |
[
"earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car",
"earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-methane",
"earth-science-atmospheric-winds-atmosphere-surface-winds"
]
|
| landingPage | https://search.earthdata.nasa.gov/search?q=Alaska_L4_WRF_STILT_Particle_1571&ac=true |
| modified | 2026-02-17 |
| programCode |
[
"026:000"
]
|
| publisher |
{
"name": "ORNL_DAAC",
"@type": "org:Organization"
}
|
| spatial |
"[[{"WestBoundingCoordinate":-180.0,"NorthBoundingCoordinate":90.0,"EastBoundingCoordinate":180.0,"SouthBoundingCoordinate":30.0}],"CARTESIAN"]"
|
| temporal | 1982-08-10/1982-08-10 |
| theme |
[
"Earth Science"
]
|
| title | Pre-ABoVE: Particle Trajectories for WRF-STILT Model, Barrow, AK, 1982-2011 |
