ABoVE: Level-4 WRF-STILT Footprint Files for Circumpolar Receptors, 2016-2019 : Arctic-Boreal Vulnerability Experiment (ABoVE)

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 2...

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Bibliographic Details
Main Authors: Henderson, J., Mountain, M., Dayalu, A., McKain, K., Hu, L., Nehrkorn, T.
Format: Article in Journal/Newspaper
Language:English
Published: ORNL Distributed Active Archive Center 2021
Subjects:
ATMOSPHERE, ATMOSPHERIC CHEMISTRY, CARBON AND HYDROCARBON COMPOUNDS, METHANE
ATMOSPHERE, ATMOSPHERIC CHEMISTRY, CARBON AND HYDROCARBON COMPOUNDS, ATMOSPHERIC CARBON DIOXIDE
ATMOSPHERE, ATMOSPHERIC WINDS, WIND DYNAMICS,
CLIMATE INDICATORS, CARBON FLUX, ,
OCO-2, OCO-2
MODELS, Computer
WRF, Computer
OCO2 receptors
WRF model
carbon dioxide
footprint file
PolarVPRM model
methane
surface-atmosphere flux
WRF-STILT footprint
CARVE
greenhouse gases
Arctic
permafrost
Online Access:https://dx.doi.org/10.3334/ornldaac/1896
https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1896
Description
Summary: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.

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