With its fine spatial sampling, Carbon-I can peek through cloud gaps, dramatically increasing data availability in regions with the largest carbon fluxes, greatest uncertainties and climate feedback. Frequent shallow cumulus clouds in the tropics have cloud gaps that are smaler than 1km, dramatically reducing the data yield of current greenhouse gas missions. Read more about clouds in the tropics in our GRL paper.
With its fine spatial sampling, Carbon-I can peek through cloud gaps, dramatically increasing data availability in regions with the largest carbon fluxes, greatest uncertainties and climate feedback
Bottom-up methane emissions distributions show key regions, which dominate global emissions (red colors=50%ile of total emissions). However, hypothesized sources in the inventory may be entirely wrong. Carbon-I will use the global and target modes in concert to identify and focus on local verified sources driving global fluxes.
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Carbon-I will investigate hotspots and flux heterogeneity globally and use the target mode as a magnifying glass. The detection of localized plumes across various source types (airborne on the left, EMIT on the right) enables applications and field campaigns (bottom left).
Closing tropical data gaps to resolve global carbon-budget uncertainties