Description
This data set provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) Footprint data products for particle receptors located at positions along Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) flight paths (2012 - 2015) and various meteorological stations in Alaska and the Canadian Arctic. Each product consists of multiple NetCDF footprint files packaged as a TAR/GZIP file. These aircraft and station positions were treated as receptors in the WRF-STILT model in order to simulate the land surface influence on observed atmospheric constituents. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| The dataset's project home page | HTML | CARVE campaign site | Open resource |
| Download this dataset | HTML | This link allows direct data access via Earthdata login | Open resource |
| Get a related visualization | JPG | Surface contours (50% --- blue; 80% --- purple) for the average WRF-STILT influence functions (mid-afternoon averages 2012-2014) show CO2 and CH4 measurements from the CARVE tower have a high sensitivity to the boreal forests and lowlands of interior Alaska. Cyan and red circles are shown for the footprints after filtering (from Karion et al., 2016). | Open resource |
| View documentation related to this dataset | HTML | ORNL DAAC Data Set Documentation | Open resource |
| View documentation related to this dataset | CARVE: L4 Gridded Footprints from WRF-STILT model, 2012-2016: CARVE_L4_WRF-STILT_Footprint.pdf | Open resource | |
| View documentation related to this dataset | CSV | CARVE: L4 Gridded Footprints from WRF-STILT model, 2012-2016: carve_wrf-stilt_inventory.csv | Open resource |
| This dataset's landing page | HTML | Data set Landing Page DOI URL | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |