Regional Retrieval Processor for Direct Broadcast High Resolution Infrared Data

Abstract

he Space Science Engineering Center, in collaboration with the Mauna Kea Weather Center of the University of Hawaii has developed a regional retrieval processor for high spectral resolution infrared data. The core of the processor makes use of an inversion system, hereafter referred to as Mirto, which combines, in a Bayesian way, the a-priori knowledge of the atmospheric state, based on available Numerical Weather Prediction forecasts, with the physical information embedded in satellite observations. Forecasted temperature and water vapor mixing ratio fields over the Central North Pacific Ocean are adjusted to produce synthetic radiances closer and closer to the Suomi-NPP CrIS observations taken in clear sky conditions. The paucity of synoptic observations over this area and the highly homogeneous background represented by the ocean, provide a good framework for the implementation of this hyper-spectral data inversion system. Nearly real-time (less than 60 minutes from overpass time) web publication of retrieved atmospheric profiles is made possible by the availability of a Direct Broadcast system that provides data from the Suomi-NPP platform (CrIS and VIIRS). The main goal for the implemented system is to provide the forecasting community with products suitable for nowcasting applications, and for optimal data assimilation. The implemented processor has been running routinely since August 2013. Validation based on the comparisons of retrievals with rawinsonde data from Hilo and Lihue, and GPS derived Total Precipitable Water from 4 stations, performed over a time period of more than one year, shows a statistically significant improvement on the background atmospheric state used as a-priori information.