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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.

Archive note

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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Additional information

Data Quality final
  • 1.0 (2017-10-20)
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Related projects
Spatial Type unknown
Language English
Related links

Temporal coverage

Begin datetime 2016-01-10 00:00:00
End datetime 2016-03-01 23:59:59

Spatial coverage

Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: -30.00, Minimum (South) Latitude: -80.00
Minimum (West) Longitude: -105.00, Maximum (East) Longitude: -30.00

Primary point of contact information

EOL Data Support <>

Additional contact information


Example 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. Accessed 03 Dec 2020.

Today's date is shown: please replace with the date of your most recent access.

This dataset does not have a DOI. If you plan to cite this dataset, please email us to request a DOI, which will improve the searchability and cross-referencing of the citation.

Ancillary information

Metadata download

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