The AIRS instrument is currently the best space-based tool to simultaneously monitor the vertical distribution of
key climatically important atmospheric parameters as well as surface properties, and has provided high
quality data for more than 5 years. AIRS analysis results produced at the GODDARD/DAAC, based on
Versions 4 & 5 of the AIRS retrieval algorithm, are currently available for public use. Here, first we present
an assessment of interrelationships of anomalies (proxies of climate variability based on 5 full years, since Sept.
2002) of various climate parameters at different spatial scales. We also present AIRS-retrievals-based global,
regional and 1x1 degree grid-scale "trend"-analyses of important atmospheric parameters for this 5-year period.
Note that here "trend" simply means the linear fit to the anomaly (relative the mean seasonal cycle) time series
of various parameters at the above-mentioned spatial scales, and we present these to illustrate the usefulness of
continuing AIRS-based climate observations. Preliminary validation efforts, in terms of intercomparisons of
interannual variabilities with other available satellite data analysis results, will also be addressed. For example,
we show that the outgoing longwave radiation (OLR) interannual spatial variabilities from the available state-of-the-art CERES measurements and from the AIRS computations are in remarkably good agreement. Version
6 of the AIRS retrieval scheme (currently under development) promises to further improve bias agreements for
the absolute values by implementing a more accurate radiative transfer model for the OLR computations and by
improving surface emissivity retrievals.