Evolution of the JPSS Ground Project Calibration and Validation System Patrick Purcell, Gyanesh Chander and Peyush Jain JPSS Ground Project NASA, GSFC.

Slides:



Advertisements
Similar presentations
Figure 2 – ADL Concept of Usage Kerry Grant, JPSS CGS Chief Scientist Raytheon Intelligence and Information Systems, Aurora CO Gary Metz, IDPS ING/PRO.
Advertisements

Tom Sheridan IT Director Gas Technology Institute (GTI)
May 17, Capabilities Description of a Rapid Prototyping Capability for Earth-Sun System Sciences RPC Project Team Mississippi State University.
Summary Role of Software (1 slide) ARCS Software Architecture (4 slides) SNS -- Caltech Interactions (3 slides)
1 ITC242 – Introduction to Data Communications Week 12 Topic 18 Chapter 19 Network Management.
02/07/2001 EOSDIS Core System (ECS) COTS Lessons Learned Steve Fox
November 2011 At A Glance GREAT is a flexible & highly portable set of mission operations analysis tools that increases the operational value of ground.
Suomi National Polar-orbiting Partnership (SNPP) Data Access NOAA Satellite Conference April 8-12, 2013 Kevin Berberich NESDIS/OSD NDE Project Photographs.
March 2004 At A Glance ITOS is a highly configurable low-cost control and monitoring system. Benefits Extreme low cost Database driven - ITOS software.
System Design/Implementation and Support for Build 2 PDS Management Council Face-to-Face Mountain View, CA Nov 30 - Dec 1, 2011 Sean Hardman.
NASA Goddard Space Flight Center Direct Readout Laboratory NPP/JPSS HRD/LRD Status Patrick Coronado NASA Goddard Space Flight Center directreadout.sci.gsfc.nasa.gov/ipopp.
Effective Methods for Software and Systems Integration
Hands-On Microsoft Windows Server 2008 Chapter 1 Introduction to Windows Server 2008.
Kerry Grant, Wael Ibrahim, Paula Smit, JPSS CGS Raytheon Intelligence, Information, and Services, Aurora, CO Kurt Brueske, JPSS CGS Raytheon Intelligence,
JPSS CGS IDPS Product Generation
LIGO-G E ITR 2003 DMT Sub-Project John G. Zweizig LIGO/Caltech Argonne, May 10, 2004.
FP OntoGrid: Paving the way for Knowledgeable Grid Services and Systems WP8: Use case 1: Quality Analysis for Satellite Missions.
NOAA Satellite Conference April 8-12, 2013 Mary Kicza Assistant Administrator for Satellite & Information Services.
This presentation is the property of Paradigm Information Systems It is confidential to the intended recipient for the purpose of evaluating FMS Any other.
, Implementing GIS for Expanded Data Accessibility and Discoverability ASDC Introduction The Atmospheric Science Data Center (ASDC) at NASA Langley Research.
An Introduction to IBM Systems Director
At A Glance VOLT is a freeware, platform independent tool set that coordinates cross-mission observation planning and scheduling among one or more space.
1 Next Generation of Operational Earth Observations From the National Polar-Orbiting Operational Environmental Satellite System (NPOESS): Program Overview.
Cloud Computing in NASA Missions Dan Whorton CTO, Stinger Ghaffarian Technologies June 25, 2010 All material in RED will be updated.
Product Development Chapter 6. Definitions needed: Verification: The process of evaluating compliance to regulations, standards, or specifications.
Introduction to Apache OODT Yang Li Mar 9, What is OODT Object Oriented Data Technology Science data management Archiving Systems that span scientific.
Reginald Lawrence, NOAA/NESDIS/OSD NOAA Direct Readout Conference
The Namibia Flood Dashboard Satellite Acquisition and Data Availability through the Namibia Flood Dashboard Matt Handy NASA Goddard Space Flight Center.
OOI CI LCA REVIEW August 2010 Ocean Observatories Initiative OOI Cyberinfrastructure Architecture Overview Michael Meisinger Life Cycle Architecture Review.
LIGO-G9900XX-00-M ITR 2003 DMT Sub-Project John G. Zweizig LIGO/Caltech.
Computer Emergency Notification System (CENS)
April 2004 At A Glance CAT is a highly portable exception monitoring and action agent that automates a set of ground system functions. Benefits Automates.
Software Quality Assurance
Lecture 7: Requirements Engineering
EOS Terra MODIS Land Processing and Distribution Overview Joseph M Glassy, Director, MODIS Software Development at NTSG School of Forestry, Numerical Terradynamics.
Ames Research CenterDivision 1 Information Power Grid (IPG) Overview Anthony Lisotta Computer Sciences Corporation NASA Ames May 2,
NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.
Diane E. Wickland NPP Program Scientist NPP Science: HQ Perspective on VIIRS May 18, 2011.
March 2004 At A Glance NASA’s GSFC GMSEC architecture provides a scalable, extensible ground and flight system approach for future missions. Benefits Simplifies.
The Joint Polar Satellite System (JPSS) is the next generation polar-orbiting operational environmental satellite system. The first satellite in the JPSS.
Jianchun Qin, Liguang Wu, Michael Theobald, A. K. Sharma, George Serafino, Sunmi Cho, Carrie Phelps NASA Goddard Space Flight Center, Code 902 Greenbelt,
March 2004 At A Glance autoProducts is an automated flight dynamics product generation system. It provides a mission flight operations team with the capability.
March 2004 At A Glance SIMSS is a flexible & easily configurable collection of modules for mission testing, simulations, and real-time operations. Benefits.
Near Real-Time Verification At The Forecast Systems Laboratory: An Operational Perspective Michael P. Kay (CIRES/FSL/NOAA) Jennifer L. Mahoney (FSL/NOAA)
6/23/2005 R. GARDNER OSG Baseline Services 1 OSG Baseline Services In my talk I’d like to discuss two questions:  What capabilities are we aiming for.
August 2003 At A Glance The IRC is a platform independent, extensible, and adaptive framework that provides robust, interactive, and distributed control.
NOAA Plenary Agenda Item th CEOS Plenary Kyoto International Conference Center Kyoto, Japan 5 – 6 November 2015 NOAA Satellite and Information Service.
Joint Polar Satellite System (JPSS) Common Ground System (CGS) Rapid Algorithm Updates Kerry Grant, JPSS CGS Chief Engineer Raytheon Intelligence and Information.
Suomi National Polar-orbiting Partnership (NPP) Martha Maiden Suomi NPP Workshop Sponsored by NASA Applied Sciences Program June 21, 2012.
Page 1 Rapid Algorithm Integration in the Joint Polar Satellite System (JPSS) Common Ground System (CGS) Kerry Grant, Raytheon JPSS CGS Chief Scientist,
MODIS SDST, STTG and SDDT MODIS Science Team Meeting (Land Discipline Breakout Session) July 13, 2004 Robert Wolfe Raytheon NASA GSFC Code 922.
Implementation Review1 Archive Ingest Redesign March 14, 2003.
March 2004 At A Glance ITPS is a flexible and complete trending and plotting solution which provides user access to an entire mission full-resolution spacecraft.
March 2004 At A Glance Advanced Mission Design (AMD) researches and develops innovative trajectories and the mathematical methods used for optimal designs.
March 2004 At A Glance The AutoFDS provides a web- based interface to acquire, generate, and distribute products, using the GMSEC Reference Architecture.
SwCDR (Peer) Review 1 UCB MAVEN Particles and Fields Flight Software Critical Design Review Peter R. Harvey.
NASA Earth Exchange (NEX) A collaborative supercomputing environment for global change science Earth Science Division/NASA Advanced Supercomputing (NAS)
Physical Oceanography Distributed Active Archive Center THUANG June 9-13, 20089th GHRSST-PP Science Team Meeting GHRSST GDAC and EOSDIS PO.DAAC.
Band 14 (11um) Winds Low-Level >700 mb Mid-Level mb High-Level mb   NPP VIIRS Polar Winds Products The GOES-R AWG Derived Motion Winds.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 STAR Enterprise Synthesis.
SQL Database Management
NOAA Transition to New Direct Readout Systems for JPSS Presented to CGMS-44 Working Group 1, agenda item 3.2.
Software Project Configuration Management
Joseph JaJa, Mike Smorul, and Sangchul Song
Enterprise Computing Collaboration System Example
Oracle Solaris Zones Study Purpose Only
Applied Software Implementation & Testing
GSICS Data Management and Availability to Users
Course: Module: Lesson # & Name Instructional Material 1 of 32 Lesson Delivery Mode: Lesson Duration: Document Name: 1. Professional Diploma in ERP Systems.
Laura Bright David Maier Portland State University
Presentation transcript:

Evolution of the JPSS Ground Project Calibration and Validation System Patrick Purcell, Gyanesh Chander and Peyush Jain JPSS Ground Project NASA, GSFC Code 586, Science Data Systems Branch 8800 Greenbelt Road, Greenbelt, MD, USA ESIP Poster: (ID) JPSS Introduction The Joint Polar Satellite System (JPSS) is the NOAA’s next-generation operational Earth observation Program that acquires and distributes global environmental data from multiple polar-orbiting satellites The JPSS Program plays a critical role to NOAA’s mission to understand and predict changes in weather, climate, oceans, and coasts environments, which supports the nation’s economy and protects lives and property The NASA is acquiring and implementing the JPSS, comprised of flight and ground systems on behalf of NOAA The JPSS satellites are planned to fly in afternoon orbit and will provide operational continuity of satellite-based observations and products for NOAA Polar-orbiting Operational Environmental Satellites (POES) and the Suomi National Polar-orbiting Partnership (SNPP) satellite GRAVITE Overview GRAVITE stands for “Government Resource for Algorithm Verification, Independent Test, and Evaluation” GRAVITE is a mature NOAA system developed and deployed by JPSS Ground Project that supports SNPP mission and has been in operations since SNPP launch GRAVITE is: NOAA system 5048 Assessed as “moderate” security impact as per NIST 199 A mission data support system; Class “C” under NASA Procedural Requirements (NPR) A Data center class hardware housed at the NOAA Satellite Operations Facility GRAVITE Services facilitate: Algorithm Integration and Checkout Algorithm and Product Operational Tuning Instrument Calibration Product Validation Algorithm Investigation Data Quality Support and Monitoring GRAVITE Functions Figure 6. GRAVITE Version 4.0 (GV4.0) Figure 7. GRAVITE Search Interface and System Status Figure 7. GRAVITE Ingest and Orbital Statistics GRAVITE Subsystems Figure 1. Investigator-led Processing System (IPS). In-house developed. Production system, operator managed. Consists of Ingest, Automated Processing, and Distribution components. Runs Product Generation Executable (PGEs) for Cal/Val and Data Quality Monitoring Figure 2. GRAVITE Algorithm Development Area (G-ADA). Interface Data Processing Segment (IDPS) compliant development and testing platform for JPSS algorithms and Look-Up-Tables. After verification, proposed changes are sent to Common Ground System (CGS) as Algorithm Change Packages (ACP) for integration Figure 3. Investigator Computing Facility (ICF). Science tools and libraries, personal user space, access to data, computing power are provided to run CPU and memory intensive applications. Figure 4. GRAVITE Information Portal (GIP). Coordination and knowledge sharing for GRAVITE projects through Blogs, Wikis, Action trackers, etc. GRAVITE Evolution GRAVITE Version 1.0 (GV1.0): Evolved from NPOESS GRAVITE; originally not intended for formal Cal/Val but “play ground” for scientists GRAVITE Version 2.0 (GV2.0): Self-directed analysis of GRAVITE capabilities, design, and performance. Initiated and led improvements in storage design, defect corrections, and performance GRAVITE Version 3.0 (GV3.0): Major re-architecture that incorporated SNPP lessons learned. Addressed a number of issues related to data rights conflicts, performance issues (multiple databases, multiple file copies, redundant data storage), direct application access to database without validation, scale and maintenance, and multiple distribution mechanisms GRAVITE Version 4.0 (GV4.0): Requirement updates and minor enhancements that do not impact the overall design. Host Data Quality Assurance (DQA) Offline tool suite on GRAVITE GRAVITE Data Flow Figure 5. GRAVITE Version 4.0 (GV4.0) Data Flow Landing Zone: Data sources either push files to the Landing Zone or Pull Server pulls remote files and place them on the Landing Zone Ingest: Looks for new files on Landing Zone; Reads file metadata; writes metadata related entries to the database ; Archives files in GPFS storage Workflow Manager: Sends PGE information to the Planner. Planner checks to see if all pre-conditions are met for running a PGE. If conditions are met, Workflow Manager sends a task to Resource Manager Resource Manager: Executes task on available machine. Outputs are sent to the Landing Zone for ingest Job Manager: Executes repetitive task on available machine Goddard Mission Services Evolution Center (GMSEC): Events are written to and read from Message Bus GRAVITE Inventory: Includes Database and GPFS storage GRAVITE Purpose and Unique Features Summary GRAVITE is currently in operations and has been successfully supporting SNPP since its launch in Oct 2011 Exceeds GV3.0 ingest requirements of 5TB/day. Observed ingest rates up to 16TB/day Largest implementation of Apache OODT GRAVITE has evolved as a system with increased performance: Robust, stable, reliable, maintainable, scalable, and secure Supports development, test, and production strings Replaces proprietary and custom software Uses open source software Compliant with NASA and NOAA standards GV4.0 adds enhancements to GV3.0 to support JPSS Minor architecture updates are anticipated as a result of these requirements changes/additions Necessary interfaces and documents are baselined GRAVITE is on schedule to support JPSS Lanuch