HR: 1330h
AN: A52B-0790    [PDF]
TI: An Adjoint-Based Analysis of the Sampling Footprints of Tall Tower, Aircraft and Potential Future Lidar Observations of CO2
AU: * Andrews, A E
EM: Arlyn.Andrews@nasa.gov
AF: NASA Goddard Space Flight Center, Code 916 Atmospheric Chemistry and Dynamics Branch, Greenbelt, MD 20771 United States
AU: Kawa, S R
EM: kawa@maia.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, Code 916 Atmospheric Chemistry and Dynamics Branch, Greenbelt, MD 20771 United States
AU: Zhu, Z
EM: zhu@maia.gsfc.nasa.gov
AF: Science Systems Applications, Inc., 10210 Greenbelt Road, Suite 600, Lanham, MD 20706 United States
AU: Burris, J F
EM: John.F.Burris@nasa.gov
AF: NASA Goddard Space Flight Center, Code 916 Atmospheric Chemistry and Dynamics Branch, Greenbelt, MD 20771 United States
AU: Abshire, J B
EM: James.B.Abshire@nasa.gov
AF: NASA Goddard Space Flight Center, Laser Remote Sensing Branch, Greenbelt, MD 20117 United States
AU: Krainak, M A
EM: Michael.A.Krainak@nasa.gov
AF: NASA Goddard Space Flight Center, Laser and Electro-Optics Branch, Greenbelt, MD 20771 United States
AU: Baker, D F
EM: dfb@cgd.ucar.edu
AF: National Center for Atmospheric Research, Climate and Global Dynamics Division 1850 Table Mesa Drive, Boulder, CO 80305 United States
AB: A detailed mechanistic understanding of the sources and sinks of CO2 will be required to reliably predict future CO2 levels and climate. A commonly used technique for deriving information about CO2 exchange with surface reservoirs is to solve an "inverse problem", where CO2 observations are used with an atmospheric transport model to find the optimal distribution of sources and sinks. Synthesis inversion methods are powerful tools for addressing this question, but the results are disturbingly sensitive to the details of the calculation. Studies done using different atmospheric transport models and combinations of surface station data have produced substantially different distributions of surface fluxes. Adjoint methods are now being developed that will more effectively incorporate diverse datasets in estimates of surface fluxes of CO2. In an adjoint framework, it will be possible to combine CO2 concentration data from longterm surface and aircraft monitoring stations with data from intensive field campaigns and with proposed future satellite observations. We have recently developed an adjoint for the GSFC 3-D Parameterized Chemistry and Transport Model (PCTM). Here, we will present results from a PCTM Adjoint study comparing the sampling footprints of tall tower, aircraft and potential future lidar observations of CO2. The vertical resolution and extent of the profiles and the observation frequency will be considered for several sites in North America.
DE: 0315 Biosphere/atmosphere interactions
DE: 0322 Constituent sources and sinks
DE: 0345 Pollution--urban and regional (0305)
DE: 0368 Troposphere--constituent transport and chemistry
DE: 3260 Inverse theory
SC: Atmospheric Sciences [A]
MN: 2003 Fall Meeting