HR: 0800h
AN: A51B-0756 [Abstracts]
TI: ARM Site Atmospheric State Best Estimates for AIRS Forward Model and Retrieval Validation
AU: * Tobin, D C
EM: dave.tobin@ssec.wisc.edu
AF: Space Science and Engineering Center, University of Wisconsin-Madison, 1225 West Dayton St., Madison,
WI 53706-1695
United States
AU: Revercomb, H E
EM: hankr@ssec.wisc.edu
AF: Space Science and Engineering Center, University of Wisconsin-Madison, 1225 West Dayton St., Madison,
WI 53706-1695
United States
AU: Knuteson, R O
EM: bobk@ssec.wisc.edu
AF: Space Science and Engineering Center, University of Wisconsin-Madison, 1225 West Dayton St., Madison,
WI 53706-1695
United States
AU: Feltz, W F
EM: waynef@ssec.wisc.edu
AF: Space Science and Engineering Center, University of Wisconsin-Madison, 1225 West Dayton St., Madison,
WI 53706-1695
United States
AU: Lesht, B
EM: bmlesht@anl.gov
AF: Argonne National Laboratory, uilding 203, ER
Environmental Research Division, Argonne, IL 60439
United States
AU: Cress, T
EM: cress@pnl.gov
AF: Pacific Northwest National Laboratory, PO Box 999, K9-38, Richland, WA 99352
United States
AU: Strow, L
EM: strow@umbc.edu
AF: Department of Physics, University of Maryland Baltimore County, Baltimore, 1000 Hilltop Circle,
Baltimore, MD 21250
United States
AU: Hannon, S E
EM: hannon@umbc.edu
AF: Department of Physics, University of Maryland Baltimore County, Baltimore, 1000 Hilltop Circle,
Baltimore, MD 21250
United States
AU: Fetzer, E J
EM: Eric.J.Fetzer@jpl.nasa.gov
AF: NASA Jet Propulsion Laboratory, MS 169-237, 4800 Oak Grove Dr., Pasadena, CA 91109
United States
AB:
The high accuracy retrieval goals of AIRS (1K rms in 1km layers below 100mbar for temperature, 10% rms in 2km layers below
100 mbar for water vapor, 0.5K for surface skin temperature), combined with the large temporal and spatial variability of the
atmosphere and difficulties in making accurate measurements of the atmospheric state, necessitates careful and detailed
validation using well characterized ground based sites. As part of on-going AIRS Science Team efforts and a collaborative
effort between NASA and ARM, data from various ARM and other observations are used to create best estimates of the
atmospheric state at the Aqua overpass times. This draws upon previous and on-going studies and careful characterization of
the ARM data streams. For some overpasses which meet specific view angle and weather related requirements, dedicated
radiosondes are launched just before (~45 minutes) and at the overpass time. Estimates of the spectral surface emissivity and
local skin temperatures are also constructed. These products and auxiliary plots are made available on the web for each
satellite overpass. These profiles and collocated clear sky AIRS data are being used to study observed minus calculated AIRS
spectra, aimed at evaluation of the AIRS forward model, AIRS radiances and retrievals, and the input atmospheric state.
This paper presents material on how the best estimate profiles are constructed, analyses demonstrating the accuracy of the
products, and example applications of the products, focusing on clear sky forward model and retrieval validation.
DE: 3300 METEOROLOGY AND ATMOSPHERIC DYNAMICS
DE: 1610 Atmosphere (0315, 0325)
DE: 1640 Remote sensing
DE: 0365 Troposphere--composition and chemistry
DE: 0394 Instruments and techniques
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting