Previous Abstract Return to Session Next Abstract

Session : COSMIC/FORMOSAT

NESDIS STAR GNSS RO Processing, Validation, and Monitoring System: Initial Validation of the COSMIC-2 Data Products and their Applications for Numerical Weather Prediction and Climate Studies
Shu-peng Ho, NOAA National Environmental Satellite, Data, and Information Service, Center for Satellite; Xinjia Zhou, Global Science & Technology, Inc.; Xi Shao and Bin Zhang, Cooperative Institute for Satellite Earth System Studies (CISESS), Earth System Science Interdisciplinary Center, University of Maryland

Global Navigation Satellite System (GNSS) Radio Occultation (RO) is becoming an essential component of National Oceanic and Atmospheric Administration (NOAA) observation systems. A COSMIC-1/FORMOSAT-3 (Constellation Observing System for Meteorology, Ionosphere, and Climate-1 and Formosa Satellite Mission 3) follow-on mission, COSMIC-2/FORMOSAT-7, had been successfully launched into low-inclination orbits on 25 June 2019. COSMIC-2 is equipped with the advanced TriG (Global Positioning System—GPS, GALILEO, and GLObal NAvigation Satellite System - GLONASS) GNSS (Global Navigation Satellite System) RO Receiver System (TGRS). COSMIC-2 has a significantly increased Signal-to-Noise ratio (SNR) compared to other RO missions. The Center for Satellite Applications and Research (STAR) is NOAA’s dedicated RO monitoring/re-processing and science center. To better quantify how the observation uncertainty from clock error and geometry determination may propagate to bending angle and refractivity profiles, STAR has developed the GNSS RO Data Processing and Validation System. This study uses the STAR RO Data Processing and Validation System to assess the COSMIC-2 product quality. In this study, we describe i) STAR’s conversion of COSMIC-2 carrier phase to excess phase, ii) bending angle inversion algorithm, and iii) one-dimension variational approach to convert refractivity to temperature and moisture profiles. We also provide the initial validation of the STAR’s processed results for the COSMIC-2 mission. We also demonstrated the usefulness of COMIC-2 data for the numerical weather prediction system through data assimilation and potential climate and atmospheric applications.

Previous Abstract Return to Session Next Abstract