ORCAS Stochastic Time-Inverted Lagrangian Transport (STILT) Model Trajectories and Campaign Mean Footprints
Summary
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.
Data access
- ORDER data to made available for download
- user agreement required
Additional information
| Identifier | |
| Data Quality | final |
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| Spatial Type | unknown |
| Language | English |
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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 <datahelp@eol.ucar.edu>
Additional contact information
Citation
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://doi.org/10.26023/CRSN-CZEJ-YN01. Accessed 26 Apr 2025.
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