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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

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Additional information

Homepage
Data Quality final
Versions
  • 1.0 (2017-10-20)
Metadata download

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Related projects
Spatial Type unknown
Language English
Categories
Documentation
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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 <eol-datahelp@ucar.edu>

Additional contact information

Citation

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. https://data.eol.ucar.edu/dataset/490.037. Accessed 15 Nov 2019.

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