← Search

Data · dataset · 2026

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

Listed in National Center for Atmospheric Research

These files were generated by Martin Hoecker-Martinez (formerly U. Michigan, now University of Redlands) for the atmospheric transport model STILT.

Description

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.

Links

Get the data

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Research2692745c-1074-4a6b-b235-128ff2d993b712 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0