Model output associated with "Inter-comparison of Atmospheric Trace Gas Dispersion Models: Barnett Shale Case Study", Atmospheric Chemistry and Physics, 2019.
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DOI Access to: Model output associated with "Inter-comparison of Atmospheric Trace Gas Dispersion Models: Barnett Shale Case Study"
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| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "006:55" ] |
| contactPoint |
{ "fn": "Anna Karion", "hasEmail": "mailto:anna.karion@nist.gov" } |
| description | Please refer to the publication, particularly the information in the Supplementary Information, for details on the model configuration. Footprint files: Footprints generated every 30 seconds along flight paths using different models are archived as netCDF files. Each tar.gz file contains all the netCDF footprints for a particular flight and model combination, and is named after the model combination and flight date (YYYYMMDD). For example the WRF-HYSPLIT combination for the flight on 10/19/2013 referenced in the paper is in: WRF-HYSPLIT/WRFHYS_Footprints_20131019.tar.gz Most flight footprints were run for 24 hours back in time but there are a few exceptions, so the files must be opened to see how far back the footprints go. A few flights use shorter times, and on 10/28/2013 WRF-HYSPLIT was run for 36 hours. The HYSPLIT footprint files are numbered consecutively in order of time. The location and time of the receptor is in the NetCDF file itself, not in the filename. The STILT filenames have location and time information but only to the nearest minute, so the numerical order in the filename indicates their time order, because there are two footprints each minute. STILT and HYSPLIT footprints all also contain particle trajectories. The receptor location and time is in the NetCDF file as origutctime, origlat, origlong, etc. The files include footprints from basic model runs referenced in Figures 4 and 7, that is NAMS-HYSPLIT, WRF-HYSPLIT, and WRF-STILT. WRF-STILT for flights on 3/25, 3/27, 3/30 and 10/16 uses instantaneous wind output; WRF-STILT for 10/19, 10/20, 10/25, and 10/28 flights uses averaged wind fields (see the SI in the manuscript for details). For WRF2-Flexpart footprints, please contact Wayne.Angevine@noaa.gov. For CarbonTracker Lagrange WRF-STILT footprints, contact Arlyn.Andrews@noaa.gov. For WRF-LPDM footprints, contact Thomas Lauvaux (thomas.lauvaux@lsce.ipsl.fr). WRF-Chem output files: WRF-Chem output for 4 flights in October 2013 is also included here, both in native NetCDF format and in ARL format. These contain 3-km resolution, hourly WRF-Chem output. ARL files can be used to run HYSPLIT or STILT. The NetCDF formatted files include the tracer variables for CH4 from both the EPA inventory (tracer_1 variable) and the EDF inventory used in the paper (tracer_2 variable). The third tracer (tracer_3) is using the EPA inventory but masked so that emissions outside the domain of the EDF inventory are zero (so that they can be directly compared). Only tracer_2 is used in the manuscript. The NetCDF output files are combined into tar.gz files. Please contact Thomas Lauvaux (thomas.lauvaux@lsce.ipsl.fr) for details regarding WRF-Chem. Observations: Observations from the Barnett flight campaign are made available by NOAA/ESRL, please contact Colm.Sweeney@noaa.gov. |
| distribution |
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| identifier | 808B2042D1696C0BE05324570681AB642018 |
| keyword |
[ "Barnett", "HYSPLIT", "WRF-Chem", "dispersion", "greenhouse gas", "methane" ] |
| landingPage | https://data.nist.gov/od/id/808B2042D1696C0BE05324570681AB642018 |
| language |
[ "en" ] |
| license | https://www.nist.gov/open/license |
| modified | 2019-01-28 00:00:00 |
| programCode |
[ "006:047" ] |
| publisher |
{ "name": "National Institute of Standards and Technology", "@type": "org:Organization" } |
| references |
[ "https://doi.org/10.5194/acp-2018-736" ] |
| spatial | -100, 31, -96, 34.5 |
| temporal | 2013-03-25/2013-10-29 |
| theme |
[ "Environment:Greenhouse gas measurements" ] |
| title | Model output associated with "Inter-comparison of Atmospheric Trace Gas Dispersion Models: Barnett Shale Case Study", Atmospheric Chemistry and Physics, 2019. |