CO2 vertical profile data products from simultaneous retrievals of OCO and AIRS
Charles
Miller, Jet Propulsion Laboratory, California Institute of Technology, charles.e.miller@jpl.nasa.gov
(Presenting)
Fabiano
Oyafuso, Jet Propulsion Laboratory, California Institute of Technology, fabiano.a.oyafuso@jpl.nasa.gov
Yuk
Yung, Division of Geological and Planetary Sciences, California Institute of Technology, yly@gps.caltech.edu
Le
Kuai, Division of Geological and Planetary Sciences, California Institute of Technology, kl@gps.caltech.edu
We are implementing a state of the art retrieval algorithm on the COLUMBIA supercomputer to generate atmospheric CO2 vertical profile data products from simultaneous retrievals of OCO and AIRS satellite observations. This unique data set will significantly improve the estimation of atmospheric carbon sources and sinks by providing observational constraints on vertical as well as horizontal and temporal distributions of atmospheric CO2 in data assimilation and data fusion approaches: accurate vertical transport is essential within the source/sink inversion to avoid systematic flux errors of up to 2 GtC/yr since convection over land is strongly correlated in time with photosynthesis, the dominant surface sink for CO2. We will also quantify the accuracy of simulated CO2 vertical profiles from the Caltech/JPL 2D chemical transport model (CTM) and selected 3D CTMs by comparison against aircraft and AIRS CO2 data. We will leverage these analyses to develop and implement improved atmospheric transport schemes. Our investigation will also provide a framework with which to evaluate the potential impact of higher resolution vertical profile data that will become available in the post-2010 timeframe from active CO2 remote sensing systems such as the ASCENDS mission recommended by the NRC Decadal Survey.
NASA Carbon Cycle & Ecosystems Active Awards Represented by this Poster: