Overview
DOI | https://doi.org/10.3334/ORNLDAAC/1896 |
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Version | 1 |
Project | |
Published | 2021-12-08 |
Usage | 151 downloads |
Description
This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) Footprint data products for receptors (observations) located at positions along flight paths and at various fixed observing sites at circumpolar locations at northern latitudes during 2016-2019. Each aircraft and station position is treated as an independent receptor in the WRF-STILT model in order to simulate the land surface influence on observed atmospheric constituents. The footprints are independent of chemical species and can be applied to different flux models and incorporated into formal inversion frameworks. The particle trajectories that determine the footprint field are constrained only by the outer edges of the WRF modeling domain. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by the thawing of Arctic permafrost.
Science Keywords
- ATMOSPHERE
- ATMOSPHERIC CHEMISTRY
- CARBON AND HYDROCARBON COMPOUNDS
- METHANE
- ATMOSPHERE
- ATMOSPHERIC CHEMISTRY
- CARBON AND HYDROCARBON COMPOUNDS
- ATMOSPHERIC CARBON DIOXIDE
- CLIMATE INDICATORS
- CARBON FLUX
- ATMOSPHERE
- ATMOSPHERIC WINDS
- WIND DYNAMICS
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 3 companion files.
- stilt2015x10x15x02x00x69.6246Nx162.3022Ex00027.mp4
- stilt2015x04x24x04x00x69.6246Nx162.3022Ex00027.mp4
- ABoVE_Footprints_WRF_AK_NWCa.pdf