The Atmospheric Infrared Sounder (AIRS), launched on the EOS Aqua spacecraft on May 4, 2002, is a grating
spectrometer with 2378 channels in the range 3.7 to 15.4 microns. Spectra from grating spectrometers are capable of
unsurpassed absolute radiometric accuracy, which makes them excellent potential sources for climate data records used
in climate trending analyses. However, because each channel has its own detector and (partially) its own electronics,
some individual channels can suffer from higher noise than other channels and, in extreme cases, can fail completely.
Radiometric quality non-uniformity can complicate error and noise estimation for some products. In particular, crosscalibration
with other instruments, frequency interpolation, and frequency shifting are made more difficult. AIRS level
1B data are calibrated spectral radiances from each channel. This paper describes results of creating level 1C spectra
from level 1B data, where radiances from channels determined to be very noisy are replaced with values determined by
taking advantage of channel-to-channel correlations. Several methods are evaluated and validated.