HR: 1330h
AN: H32B-0574    [PDF]
TI: Infrared Atmospheric Spectroscopy using AIRS
AU: * Machado, S D
EM: sergio@umbc.edu
AF: Physics Department/JCET University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250 United States
AU: Hannon, S
EM: hannon@umbc.edu
AF: Physics Department/JCET University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250 United States
AU: Strow, L L
EM: strow@umbc.edu
AF: Physics Department/JCET University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250 United States
AU: Motteler, H
EM: motteler@umbc.edu
AF: Physics Department/JCET University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250 United States
AB: The high radiometric accuracy of the Atmospheric Infrared Sounder (AIRS) on AQUA, coupled with it's high spectral resolving power of $\sim$1200 has provided a very demanding dataset for testing the accuracy of clear air atmospheric radiative transfer models and their associated spectroscopy. Since AIRS uses a physical retrieval, the accuracy of the AIRS products are directly dependent on the accuracy of the forward radiative transfer algorithm (RTA). Extensive validation of the AIRS RTA using dedicated radiodsonde launches and the European Center for Medium Range Forecasting (ECMWF) model data has highlighted several shortcomings in the spectroscopy used in the AIRS RTA, especially with regard to carbon dioxide lineshape and the water vapor continuum. Reanalysis of existing laboratory spectra of carbon dioxide and a recent analysis of DOE ARM measurements of high spectral resolution down-welling radiance using the AERI radiometer largely confirm the AIRS validation results. Together these studies will provide the community with significantly improved clear air spectroscopy that will potentially impact a wide range of infrared remote sensors. A by-product of this work is the creation of a large 1-year dataset of nominally clear AIRS FOVS over ocean that may prove useful for a wide range of atmospheric studies.
DE: 3359 Radiative processes
DE: 3360 Remote sensing
SC: Hydrology [H]
MN: 2003 Fall Meeting