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Band 14 (11um) Winds Low-Level >700 mb Mid-Level 400-700 mb High-Level 100-400 mb   NPP VIIRS Polar Winds Products The GOES-R AWG Derived Motion Winds.

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Presentation on theme: "Band 14 (11um) Winds Low-Level >700 mb Mid-Level 400-700 mb High-Level 100-400 mb   NPP VIIRS Polar Winds Products The GOES-R AWG Derived Motion Winds."— Presentation transcript:

1 Band 14 (11um) Winds Low-Level >700 mb Mid-Level 400-700 mb High-Level 100-400 mb   NPP VIIRS Polar Winds Products The GOES-R AWG Derived Motion Winds algorithm has been transitioned to operations for VIIRS Polar Winds at NDE in May 8, 2014   GOES Winds Products The GOES-R AWG Derived Motion Winds algorithm has been transitioned to operations at OPSO. The official operational products will be available in the near future. ASSISTT R2O Tool: STAR Algorithm Processing Framework Zhuo Zhang 1,2, Mike Walters 1,2, Rickey Rollins 1,2, Shanna Sampson 1,2, Walter Wolf 2, Aiwu Li 1,2 1 IMSG, College Park, Maryland, 20740 2 NOAA/NESDIS/STAR, College Park, Maryland, 20740 Abstract The STAR Algorithm Processing Framework (SAPF) developed at NOAA/NESDIS/STAR is currently being used in transitioning algorithms to operations. The framework was designed and implemented as a plug-and-play type system for integration of scientific algorithms by enabling the algorithm to be developed and/or tested in both the framework and the scientist’s offline research system with little modification or addition to either system. Since the framework is an all-in-one system, it allows algorithms access to a variety of data sets with minimal effort once they have been integrated into the system. Many of the algorithms require external data from GFS model forecasts, SST analysis, and static data such as elevation and land surface type. A number of enterprise algorithms at STAR are taking advantage of these benefits and are being transitioned to operations.   JPSS Risk Reduction Products The JPSS Risk Reduction project includes eleven selected algorithms which produce total of twenty VIIRS products in three different product areas: Cloud, Aerosol, and Cryosphere. R2O in Framework Motivation US National Weather Service requests continuity of NOAA product between current and future NOAA operational satellites These projects demonstrate cost effective processing for NOAA JPSS products. They also support NOAA’s goal of enterprise solutions by employing the same algorithms for “POES” and “GOES”. This further assists in NWS OS&T implementation strategy of multi-sensor algorithms and products. Current and Past Projects   Ground Enterprise Architecture System (GEARS) Algorithm Prototype Project NESDIS Ground Enterprise Architecture System (GEARS) will comprise a single, integrated architecture, offering cost-   Himawari AHI Winds products The Advanced Himawari Imager ( AHI), as a close approximate to the Advanced Baseline Imager (ABI), provides the best proxy data for ABI testing. The GOES-R ABI algorithms are tailored to run on AHI data for algorithm verification and product validation. Ongoing Development in Framework Issue Found Edge effects are found in algorithm results caused by segmented processing of the framework. Buffering Configuration Framework on Clusters Buffering Output Processor OutputsUsers Solution Strategy Future Plans for the Framework Objective   Next generation of framework Resource management Multi-processing & multi-threading   Build a system that utilizes and unites ASSISTT’s resources, hardware, software, and database. A system for managing flexible, scalable, near real-time products. Scale-up in an efficient, and cost-effective manner. Validate latency for an “Operational” community. Goals DataJob Scheduler Hardware & Software Tracking Data Management Job Setup & Processing Database Output Distribution ↑ and ↓ in size as needed.↑ and ↓ in size as needed. Cost Effective Authentication system.Authentication system. System integrity monitoring.System integrity monitoring. Reliable Easy to deploy and manageEasy to deploy and manage Maintainable Manages load-balancing.Manages load-balancing. Single-point interface for users.Single-point interface for users. Simple effective, secure and sustainable support for NESDIS’ mission. The AWG Framework features reusable commonalities for new algorithm implementation and product generation. Among the four selected projects, three of them uses Framework as their algorithm integration and test-bed for transitioning to product operations. Framework The Algorithm Scientific Software Integration and System Transition Team (ASSISTT) bridges the gap between research and operations, targets to bring scientific consistency between all products, to yield software consistency to all algorithm software and to addresses short latency requirements for the products. PCF Generator or Researcher Ancillary Data Gathering System Satellite Data L1b Processing System or Data Server Algorithm Packages File Server ASSISTT Framework PCF Files Ancillary Data Satellite Data Products Satellite Ancillary Data Products Framework Context Level Diagram Framework System Level Diagram Framework written in C/C++ and has fully integrated Fortran90 interfaces Common data structures, libraries and ancillary data, including radiative transfer models, available for consistency across products One data format (NetCDF) for all inputs and outputs Products are run as precedence for other products


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