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The Gulf Coast Intensive: Progress towards high-fidelity, regional-scale inverse estimates of the North American terrestrial carbon budget.
Kenneth
James
Davis, The Pennsylvania State University, kjd10@psu.edu
(Presenter)
Martha
Butler, Penn State, mpbutler@psu.edu
George
James
Collatz, NASA GSFC, jim.collatz@nasa.gov
Aijun
Deng, The Pennsylvania State University, axd157@psu.edu
Liza
Ivelisse
Diaz-Isaac, Penn State University, lzd120@psu.edu
Thomas
Lauvaux, Jet Propulsion Laboratory, tul5@meteo.psu.edu
Natasha
Miles, Penn State University, nmiles@met.psu.edu
Caroline
Normile, The Pennsylvania State University, cpn107@psu.edu
Stephen
M
Ogle, Colorado State University, ogle@nrel.colostate.edu
Scott
Richardson, Penn State University, srichardson@psu.edu
Andrew
Schuh, Colorado State University, aschuh@kiwi.atmos.colostate.edu
Tristram
O.
West, White House Council on Environmental Quality, tristram_o_west@ceq.eop.gov
Christopher
A
Williams, Clark University, cwilliams@clarku.edu
The NACP MidContinent Intensive (MCI) established atmospheric inversions as a viable approach for high-fidelity, regional-scale atmospheric inverse estimates of terrestrial carbon sources and sinks. We have deployed a similar mesoscale CO2 observational network in the southeastern United States, the most biologically productive region of the North American continent. This network, in combination with data to become available from the Orbiting Carbon Observatory - 2 (OCO-2), will be used to infer the carbon balance of this region. We will compare these atmospheric inferences to regional estimates determined from terrestrial carbon cycle models merged with forest and agricultural inventory data. The surface fluxes of CO2 derived from atmospheric inversions is also dependent on our ability to quantify atmospheric transport and the associated uncertainties. We are also developing calibrated transport ensembles that will enable rigorous quantification of transport errors in atmospheric inversions. We present initial measurements from the Gulf Coast Intensive. We also show that atmospheric transport and surface CO2 flux differences have comparable and significant impacts on atmospheric CO2 mole fractions. We show comparisons of a 42-member numerical weather model reanalysis ensemble to meteorological observations across the U.S. midcontinent, and suggest approaches for creating a calibrated transport ensemble to explore transport error uncertainty in atmospheric inversions.
Presentation Type: Poster
Session: General Contributions
(Tue 4:35 PM)
Associated Project(s):
- Davis, Ken: Quantification of the Regional Impact of Terrestrial Processes on the Carbon Cycle Using Atmospheric Inversions ...details
- Davis, Ken: Regional Atmospheric Inversions to determine Land-Atmosphere Carbon fluxes in the SouthEastern Forests of the United States ...details
Poster Location ID: 138
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