ORCAS Stochastic Time-Inverted Lagrangian Transport (STILT) Model Trajectories and Campaign Mean Footprints. Version 1.0

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.