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NACP MCI: CO2 Flux from Inversion Modeling, Upper Midwest Region, USA, 2007

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, earth-science
Identifier
nacp-mci-co2-flux-from-inversion-modeling-upper-midwest-region-usa-2007-ebaa9
Landing Page
http://reverb.echo.nasa.gov/reverb?selected=C179126425-ORNL_DAAC
Maintainers
PLEASE CONTACT ORNL DAAC User Services ornldaac@ornl.gov
Theme
NORTH AMERICAN CARBON PROGRAM
Language
en-US

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Description

ABSTRACT: This data set provides estimates of Net Ecosystem Exchange (NEE) flux for the U.S. Upper Midwest at 0.5-degree resolution for the year 2007. Estimates were produced by two atmospheric CO2 inversion systems (top-down), referenced as the continental Colorado State University (CSU) inversion and the mesoscale Pennsylvania State University (PSU) inversion. This modeling work was performed in support of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) experimental campaign in the U.S. Upper Midwest designed to evaluate innovative methods for CO2 flux inversion and data assimilation. The experiment was performed over a relatively flat, heavily managed agricultural landscape which features a high density of atmospheric CO2 observation measurements. Among the CO2 observations used by the inversion systems were results from a network of instrumented tall towers in the region. The NEE estimates were produced for comparison with CO2 fluxes derived from bottom-up inventory estimates.There are five data files with this data set. The NEE estimates are provided in two NetCDF files, one for each inversion system. Boundary CO2 inflow data used by each inversion system are provided in three comma-separated-format files (.csv).


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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