Overview
| DOI | https://doi.org/10.3334/ORNLDAAC/1571 |
|---|---|
| Version | 1 |
| Project | |
| Published | 2018-05-15 |
| Usage | 68 downloads |
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.
Science Keywords
- ATMOSPHERE
- ATMOSPHERIC WINDS
- SURFACE WINDS
- ATMOSPHERE
- ATMOSPHERIC CHEMISTRY
- CARBON AND HYDROCARBON COMPOUNDS
- ATMOSPHERIC CARBON DIOXIDE
- ATMOSPHERE
- ATMOSPHERIC CHEMISTRY
- CARBON AND HYDROCARBON COMPOUNDS
- METHANE
Data Use and Citation
This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.
Data Files
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Companion Files
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Dataset Companion Files
Dataset has 1 companion files.
- Alaska_L4_WRF_STILT_Particle.pdf