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Abstract. Methodology is explored for the reconstructed radiances from the Infrared Atmosphere Sounding (IASI) for the purpose of assimilation into numerical weather prediction models. A principal component based fast radiative transfer model has been implemented into the WRF data assimilation system, thus allow the investigation of the reconstructed radiances from the IASI observations. Testing of a prototype system with 165 reconstructed channel radiances in band 1 shows marginal improvement as there are a few channel-correlated errors existed in the reconstructed radiances even the noise reduced much. The method implemented in this regard is examined and the potential for channel selection for reconstructed radiances is explored.