ORCAS Stochastic Time-Inverted Lagrangian Transport (STILT) Model Trajectories and Campaign Mean Footprints
These files were generated by Martin Hoecker-Martinez (formerly U. Michigan, now University of Redlands) for the atmospheric transport model STILT. The back trajectories use TOGA sample points as receptors. Input data is from the ORCAS (The O2/N2 Ratio and CO2 Airborne Southern Ocean Study) Project. This dataset also includes the Campaign Mean Footprints. For more information please see the included readme file and the included gridded_campaign_total_footprints for supplemental information.
Only one data file can be ordered at a time due to size restrictions. Files have been compressed by research flight number and vary in size from 14 to 80 GB.
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|Begin datetime||2016-01-10 00:00:00|
|End datetime||2016-03-01 23:59:59|
Map data from IBCSO, IBCAO, and Global Topography.
Maximum (North) Latitude:
Minimum (South) Latitude:
Minimum (West) Longitude: -105.00, Maximum (East) Longitude: -30.00
Additional contact information
CitationExample citation following ESIP guidelines:
Hoecker-Martinez, M. 2017. ORCAS Stochastic Time-Inverted Lagrangian Transport (STILT) Model Trajectories and Campaign Mean Footprints. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://data.eol.ucar.edu/dataset/490.037. Accessed 03 Dec 2020.
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