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Learn how satellite and atmospheric data are used to trace carbon dioxide emissions and understand the carbon balance. Explore the geostatistical inverse modeling method for estimating carbon sources and sinks at fine spatial scales.
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New tools for carbon detectivesUsing satellite and atmospheric datato track carbon emissions and sequestration Anna M. Michalak University of Michigan
Global concentrationof carbon dioxideincreases each year Seasonal cyclereflects large landmass in Northernhemisphere Annual CO2 growth rate is very variable
Inverse modeling is used to trace carbon dioxide observationsbackwards in time and space to understand carbon balance Photosynthesis Ecosystem Respiration ? Measurement location Fossil Fuel Emissions Disturbance + Landuse Change Total CO2 flux Kim Mueller, University of Michigan
Tyler Erickson, MTRI New Geostatistical Inverse Modeling (GIM) method makes it possible to directly integrate atmospheric observations, atmospheric transport information, and remote sensing data to estimate carbon sources and sinks at fine spatial scales.
Forest cover Cropland cover Gross primary productivity Enhanced vegetation index New Geostatistical Inverse Modeling (GIM) method makes it possible to directly integrate atmospheric observations, atmospheric transport information, and remote sensing data to estimate carbon sources and sinks at fine spatial scales.
May June August July 3 0 • GIM estimates include human and natural emissions and uptake • New estimates provide information at 1o x 1o resolution • Approach can be used to understand key processes and potentially to assess the effect of carbon management -5 mol/(m2s) Sharon Gourdji, University of Michigan