ORCAS Stochastic Time-Inverted Lagrangian Transport (STILT) Model Trajectories and Footprints These files were generated by Martin Hoecker-Martinez (formerly U. Michigan, now University of Redlands), who is still working on a complete readme file. In the meantime, the brief descriptive information on hand is summarized here: The back trajectories use TOGA sample points as receptors Individual trajectory file names are of the format model.STILT_UnivMich.YYYYmmdd0000.000_TOGAmergepppp+BB.nc3 YYYY = Four digit year mm = Two digit month dd = Two digit day pppp = Four digit TOGA point index BB = Two digit length of backtrajectory in days files are in netCDF3 format There are also 10 files with total gridded footprints for the entire campaign, over 1-10 days back. These file names are of the format TOGAgridBB.nc BB= Two digit length of backtrajectories in days There are also 12 png files with images of the total gridded footprints over 1-12 days back Further information on how to get a footprint from the trajectory files: STILT gives a footprint for each particle (i) at each time step (t_j) as it's raw output. Think of it as the amplitude of a delta function [delta(lat,lon,t_j,i)] associated with each particle (i) and time step (t_j). To convert the delta functions to gridded footprints you simply integrate over each grid cell and sum over the time steps. Martin has prepared hourly gridded footprint files for each TOGA receptor, which are currently available on request in R data object format. Martin is working on converting these to netCDF at which point they will be posted here.