Validation of GOES-R LAP algorithm with GOES-13 Sounder Yong-Keun Lee, Zhenglong Li, and Jun Li CIMSS, UW-Madison

Abstract The Advance Baseline Imager (ABI) will be on board the next generation of GOES satellite (GOES-R) which has finer temporal and spatial resolutions, and more spectral channels than the current GOES Imager. It will introduce a new era for geostationary satellite remote sensing. Due to the lack of sounders, the Legacy Atmospheric Profile (LAP) will be retrieved using ABI measurements. Compared with the GOES Sounders, the ABI has less spectral bands, but much better spatial and temporal resolutions. These new features improve the capability to monitor the short-term severe storms. At CIMSS, the GOES-R ABI LAP algorithm has been developed under the GOES-R Algorithm Working Group (AWG). And the algorithm has been delivered for pre-operation implementation. The main focus is the validation of the GOES-R LAP product. The algorithm has been validated using the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard the Meteosat Second Generation (MSG) satellites, because of the similarity between ABI and SEVIRI. As a continuation of the algorithm validation, the GOES-R LAP algorithm is applied to GOES-13 Sounder measurements. This study will 1) indirectly validate the GOES-R LAP algorithm; and 2) reveal how the combination of low spectral resolution and better spatial/temporal resolutions affect the sounding retrievals.