Pre-ABoVE: Particle Trajectories for WRF-STILT Model, Barrow, AK, 1982-2011

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.

Resources

Name Format Description Link
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/1571
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F1571
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/above/Alaska_L4_WRF_STILT_Particle/
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/ABOVE/guides/Alaska_L4_WRF_STILT_Particle.html
21 ABoVE project site https://above.nasa.gov
33 A PDF of the guide document https://data.ornldaac.earthdata.nasa.gov/public/above/Alaska_L4_WRF_STILT_Particle/comp/Alaska_L4_WRF_STILT_Particle.pdf
34 Browse Image https://daac.ornl.gov/ABOVE/guides/Alaska_L4_WRF_STILT_Particle_Fig1.png

Tags

  • atmosphere
  • atmospheric-chemistry
  • atmospheric-winds
  • earth-science

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