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ORNL DAAC Tool Provides Updated SMAP NEE Data

Submitted by ORNL DAAC Staff on 2020-11-11
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Level 4 SMAP Net Ecosystem Exchange (SPL4CMDL) Global daily 9km Gross Primary Productivity (GPP) mean subset for the Colorado Slate River Crested Butte site as graphed from the Fixed Sites Subsets Tool.

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The ORNL DAAC's Fixed Sites Subsets Tool now provides updated version 5 of the SPL4CMDL carbon product.

Sectored Annual and Hourly Estimates of CO2 from 2010-2015

Submitted by ORNL DAAC Staff on 2020-10-05
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Vulcan v3.0 FFCO2 annual total emissions (tC/km2/year) for the United States in 2011 at a 1 km resolution.  Source: Figure 3(a) in Gurney et al., 2020.

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Two new datasets provide high-resolution estimates of carbon dioxide sector emissions from fossil fuels and cement production for the USA.

Tidal Wetlands Productivity for Conterminous US Based on Blue Carbon

Submitted by ORNL DAAC Staff on 2020-10-05
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Example of average daily gross primary production (GPP) per m2 at 250 m resolution shown for wetlands in the North and South Ten Thousand Islands in the Florida Everglades. Mapped values are an average of all 16-day periods from 2000-2019. Source: Feagin et al., 2020.

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Tidal wetland gross primary production estimates across the Conterminous US derived with the spatially-explicit Blue Carbon model.

Greenhouse Gases Measured from Instrumented Communication Towers

Submitted by ORNL DAAC Staff on 2020-10-05
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The communication tower at the Wessington, South Dakota site. This site was instrumented from January of 2017 to September of 2019.

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Level 1 atmospheric greenhouse gas concentrations are available for towers across the central and eastern USA.

High-Quality Forest Inventory Data for Gabon, Africa

Submitted by Welch, Jessica on 2020-09-28
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Gridded Land, Vegetation, and Ice Sensor (LVIS) instrument data products at 25 m spatial resolution over the Mondah Forest (left) and Mabounie (right) sites in Gabon.

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NASA's airborne Land, Vegetation, and Ice Sensor (LVIS) instrument was used to collect inventory data for Gabon's forests.