Overview
| DOI | https://doi.org/10.3334/ORNLDAAC/1572 |
|---|---|
| Version | 1 |
| Projects |
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| Published | 2018-05-25 |
| Updated | 2018-05-25 |
| Usage | 280 downloads |
| Citations | 1 publication cited this dataset |
Description
This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) footprint data products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. The data are gridded footprints on a 1-km grid congruent with the ACES emissions inventory. 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, quantifies the influence of upwind surface fluxes on CO2 and CH4 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.
Science Keywords
- 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.
- WRF_STILT_Footprints_Boston.pdf