HR: 1340h
AN: B23A-0923    [Abstracts]
TI: A CO$_2$ Differential Absorption LIDAR System
AU: * Gates, A M
EM: gates@code916.gsfc.nasa.gov
AF: NRC/Atmospheric Chemistry and Dynamics, NASA Goddard Space Flight Center Code 916, Greenbelt, MD 20771 United States
AU: Burris, J F
EM: John.F.Burris@nasa.gov
AF: Atmospheric Chemistry and Dynamics, NASA Goddard Space Flight Center Code 916, Greenbelt, MD 20771 United States
AU: Andrews, A E
EM: Arlyn.Andrews@noaa.gov
AF: NOAA CMDL, 325 Broadway, Boulder, CO 80305 United States
AU: Krainak, M A
EM: Michael.A.Krainak@nasa.gov
AF: Laser Remote Sensing, NASA Goddard Space Flight Center Code 924, Greenbelt, MD 20771 United States
AU: Riris, H
EM: hriris@pop900.gsfc.nasa.gov
AF: Sigma Space, 9801 Greenbelt Rd. Suite 105, Greenbelt, MD 20706 United States
AU: Sun, X
EM: xsun@pop900.gsfc.nasa.gov
AF: Laser Remote Sensing, NASA Goddard Space Flight Center Code 924, Greenbelt, MD 20771 United States
AU: Abshire, J B
EM: James.B.Abshire@nasa.gov
AF: Laser Remote Sensing, NASA Goddard Space Flight Center Code 924, Greenbelt, MD 20771 United States
AU: Collatz, G J
EM: Jim.Collatz@nasa.gov
AF: Biospheric Sciences, NASA Goddard Space Flight Center Code 923, Greenbelt, MD 20771 United States
AU: Denning, S
EM: denning@atmos.colostate.edu
AF: Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523 United States
AU: Prihodko, L
EM: lara@atmos.colostate.edu
AF: Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523 United States
AU: Nicholls, M
EM: nicholls@atmos.colostate.edu
AF: Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523 United States
AB: We are developing a CO$_2$ Differential Absorption LIDAR (DIAL) profiler at the NASA Goddard Space Flight Center (GSFC). This instrument is designed to provide continuous, range resolved, measurements of trace gas concentrations through the depth of the planetary boundary layer (PBL), providing the frequency and vertical resolution needed in order to capture diurnal variations in CO$_2$ and determine the relationship between the CO$_2$ diurnal cycles and the turbulent mixing occurring in the PBL. Three dimensional CO$_2$ distributions from a high resolution chemical transport model along with a line-by-line model are used to generate expected signal returns which are then used to quantify the measurement requirements of the DIAL technique. We present the results of this modeling study including error sources and the accuracy, precision, and sampling frequency necessary to resolve CO$_2$ variability.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
SC: Biogeosciences [B]
MN: 2004 AGU Fall Meeting