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TransCom 3: Seasonal CO2 Flux Estimates from Atmospheric Inversions (Level 2)

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Release Date
26 February 2015
Modified Date
31 August 2015
Update Frequency
irregular
Publishers
National Aeronautics and Space Administration
Keywords
atmosphere, atmospheric-chemistry, atmospheric-chemistry-carbon-and-hydrocarbon-compounds, earth-science, national-geospatial-data-asset, ngda
Identifier
transcom-3-seasonal-co2-flux-estimates-from-atmospheric-inversions-level-2-23c6c
Landing Page
http://reverb.echo.nasa.gov/reverb?selected=C179126265-ORNL_DAAC
Maintainers
PLEASE CONTACT ORNL DAAC User Services ornldaac@ornl.gov
Theme
geospatial
Language
en-US

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Description

This data set provides model outputs and seasonal mean CO2 fluxes from the Atmospheric Carbon Cycle Inversion Intercomparison (TransCom 3), Level 2 inversion experiment. Inversion methods can be used to estimate surface CO2 fluxes from atmospheric CO2 concentration measurements, given an atmospheric transport model to relate the two. This Level 2 experiment inverted for the spatial and temporal pattern of the residual CO2 sources and sinks. There were 12 atmospheric tracer transport models utilized in this experiment. The data inverted were mean CO2 concentration data from 75 sites from the GLOBALVIEW-CO2 2000 data set for the period 1992-1996. The seasonal inversion consists of a 3 year forward simulation (365 days per year) containing 4 presubtracted tracers, 11 SF6 tracers, and 22 CO2 tracers (11 terrestrial, 11 oceanic) (Gurney et al., 2000). Carbon fluxes were estimated for each month of an average year determined as the mean of the 1990-1996 time period from an intercomparison of 12 different atmospheric tracer transport models. This data set provides input data, model output data,the cyclo inversion code, a basis function map, and estimated fluxes.


General Information


Legal Information

This dataset has been created by US Government which means it is required to be in the public domain. However US copyright law only allows open access by US citizens, we have assumed the data is equivalently licensed as CC0 for the rest of the world as this is in the spirit of the US Government’s Open Data policy.
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Technical Information


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