GOES-R/ABI legacy profile algorithm evaluation using MSG/SEVIRI and AMSR-E

摘要

The algorithm for the current Geostationary Operational Environmental Satellite (GOES) Sounders has been adapted to produce atmospheric temperature and moisture legacy profiles from simulated infrared radiances of the Advanced Baseline Imager (ABI) onboard the next generation GOES-R. The Spinning Enhanced Visible and InfraRed Imager (SEVIRI) onboard the Meteosat Second Generation (MSG) Meteosat-8/9 is used as proxy to test the algorithm because it has many of the same spectral and spatial features as ABI. The impact of radiative transfer model on the algorithm is evaluated by comparing two models: the PFAAST and the RTTOV9.1. It is found that RTTOV9.1 is better than PFAAST. The selection of numerical forecast profiles as first guess in the retrieval is another key factor. We compared the retrievals by using a global model (ECMWF 12H forecast) and a regional (RAM-3H forecast) as first guess, respectively. It is found that the retrieval of low-level water vapor by regional model is better than global model because of the higher spatial/temporal resolution of regional model.