IN13C-3647:
JPSS Cryosphere Algorithms: Integration and Testing in Algorithm Development Library (ADL)
Monday, 15 December 2014
Marina Tsidulko1, Robert L Mahoney2, Paul Meade3, Daniel Baldwin4, Mark A Tschudi4, Bigyani Das1, Valerie Mikles1, Weizhong Chen1, Youhua Tang1, Kristina Sprietzer1, Yunhui Zhao1, Walter Wolf5 and Jeff Key6, (1)IMSG, College Park, MD, United States, (2)Northrop Grumman-Aerospace Systems, Redondo Beach, CA, United States, (3)Computational Physics Inc., Springfield, VA, United States, (4)University of Colorado at Boulder, CCAR, Boulder, CO, United States, (5)NOAA/NESDIS/STAR, College Park, MD, United States, (6)NOAA/NESDIS/STAR, Madison, WI, United States
Abstract:
JPSS is a next generation satellite system that is planned to be launched in 2017. The satellites will carry a suite of sensors that are already on board the Suomi National Polar-orbiting Partnership (S-NPP) satellite. The NOAA/NESDIS/STAR Algorithm Integration Team (AIT) works within the Algorithm Development Library (ADL) framework which mimics the operational JPSS Interface Data Processing Segment (IDPS). The AIT contributes in development, integration and testing of scientific algorithms employed in the IDPS. This presentation discusses cryosphere related activities performed in ADL. The addition of a new ancillary data set – NOAA Global Multisensor Automated Snow/Ice data (GMASI) – with ADL code modifications is described. Preliminary GMASI impact on the gridded Snow/Ice product is estimated. Several modifications to the Ice Age algorithm that demonstrates mis-classification of ice type for certain areas/time periods are tested in the ADL. Sensitivity runs for day time, night time and terminator zone are performed and presented. Comparisons between the original and modified versions of the Ice Age algorithm are also presented.
