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.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Documents
GENERAL DOCUMENTATION | ABoVE: Level-4 WRF-STILT Footprint Files for Circumpolar Receptors, 2016-2019: ABoVE_Footprints_WRF_AK_NWCa.pdf | |
GENERAL DOCUMENTATION | ABoVE: Level-4 WRF-STILT Footprint Files for Circumpolar Receptors, 2016-2019: stilt2015x04x24x04x00x69.6246Nx162.3022Ex00027.mp4 | |
GENERAL DOCUMENTATION | ABoVE: Level-4 WRF-STILT Footprint Files for Circumpolar Receptors, 2016-2019: stilt2015x10x15x02x00x69.6246Nx162.3022Ex00027.mp4 | |
USER'S GUIDE | ORNL DAAC Data Set Documentation |