55 Enterprise Solutions for Joint Polar Satellite System (JPSS) Science Products Algorithms and Calibration/Validation

Monday, 15 August 2016
Grand Terrace (Monona Terrace Community and Convention Center)
Lihang Zhou, NOAA STAR, College Park, MD

Enterprise Solutions for Joint Polar Satellite System (JPSS) Science Products Algorithms and Calibration/Validation

Lihang Zhou1, Murty Divakarla2, Xingpin Liu2, Valerie Mikles2 Ivan Csiszar1, Walter Wolf1, Fuzhong Weng1, Mitch Goldberg1, and Arron Layns 1NOAA/NESDIS Center for Satellite Applications and Research, College Park, Maryland, USA. 2IM Systems Group, Inc., Rockville, Maryland, USA.


The Joint Polar Satellite System (JPSS) program anticipates the launch of the JPSS-1 satellite in 2017. In preparation of this launch, the JPSS at the Center for Satellite Applications and Research (JSTAR) program has developed plans for algorithm development, calibration, and validation that will span from pre-launch testing through post-launch validation and long-term monitoring. The JSTAR teams have also developed the necessary schedules, deliverables and infrastructure for routing JPSS-1 science product algorithms for operational implementation. This paper presents these efforts giving details of the lessons learnt from the products calibration and validation for the Suomi National Polar-orbiting Partnership (S-NPP) satellite, which was launched in 2011 as a predecessor to the JPSS-1 platform. This paper also highlights the development of the enterprise algorithms that help to streamline consistent science to be applied to multiple satellite platforms. As NESDIS is transitioning into a new ground system paradigm where data product processing is consistent across all possible sensor suites by leveraging enterprise algorithm approaches for products, it will provide both cost savings in enterprise processing hardware as well as development time for Center for Satellite Applications and Research (STAR) algorithm teams since redundant and slightly different data product approaches will not be needed. Since October 2014 STAR JPSS science teams have been given the direction by NOAA JPSS Office (NJO) to continue work on enterprise science algorithms for L2 products. Much progress has been made since then. The paper will share the lessons learned during the transition process and discuss detailed pass forward for future developments of NOAA Enterprise Algorithms. Plans for the L2 Land Products yet to be transitioned, as well as product precedence and interdependency will also be discussed. The paper will also describe the comparisons of the current operational products to the planned Enterprise algorithms. An update of the other NOAA enterprise algorithms and for JPSS products and the corresponding cal val activities will also be presented.

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