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The impact of atmospheric transport uncertainty on inverse studies of CO2 sources and sinks in regional atmospheric intensives
Kenneth
James
Davis, The Pennsylvania State University, kjd10@psu.edu
(Presenter)
Liza
Ivelisse
Diaz-Isaac, Penn State University, lzd120@psu.edu
Thomas
Lauvaux, Pennsylvania State University, tul5@meteo.psu.edu
Natasha
L
Miles, The Pennsylvania State University, nmiles@psu.edu
Scott
J
Richardson, The Pennsylvania State University, srichardson@psu.edu
Atmospheric inversions provide a powerful tool for inferring CO2 sources and sinks at global to regional scales. The surface fluxes of CO2 derived from these inversions, however, is dependent on our ability to quantify atmospheric transport. We investigate the role of atmospheric transport on CO2 mole fraction simulations and flux inversions from the US Midcontinent intensive regional campaign. We test this by running many different iterations of the WRF model modified for CO2 and comparing the results both to meteorological observations and tower- and aircraft-based CO2 measurements. Further, an observational design study is performed to evaluate the potential benefit of remote observations in the region. We find large differences in atmospheric boundary layer and column CO2 mole fractions as a function of the transport scheme in WRF. Meteorological observations are used to indicate the more plausible transport simulations. Further, flux inversion results are found to be sensitive to transport differences, even for column CO2 data. These results contradict the common assumption that column CO2 observations will not be sensitive to transport uncertainties. These results will be used to update inversions from the MCI and to run inversions for the emerging Gulf coast intensive.
Presentation Type: Poster
Session: Poster Session 1-A
(Tue 11:00 AM)
Associated Project(s):
Poster Location ID: 28
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