End-to-End Ozone Mapping and Profiler Suite (OMPS) Mission Data Modeling and Simulation Angela Li, Jizhong Chen*, Gary Smith, Lesyle Boyce, Christopher.

Slides:

Advertisements

Similar presentations

© Telelogic AB Modeling DoDAF Compliant Architectures Operational Systems Technical.

Advertisements

Integration of MBSE and Virtual Engineering for Detailed Design

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

During spacecraft-level environmental testing, after all instruments were integrated, the government assembled a data clerk team to support test data collection.

NASA DRL Support for S-NPP Direct Broadcast Users

GOES Direct Services. Topics  Direct Broadcast Services  GOES Data Collection Services  Search and Rescue.

May 17, Capabilities Description of a Rapid Prototyping Capability for Earth-Sun System Sciences RPC Project Team Mississippi State University.

Agent-Based Services (ABS) for Network-Centric Communities of Interest This Phase II SBIR project has demonstrated efficient and effective agent-based.

ARCS Data Analysis Software An overview of the ARCS software management plan Michael Aivazis California Institute of Technology ARCS Baseline Review March.

GLAST LAT Project ISOC Peer Review - March 2, 2004 Document: LAT-PR Section 2.3 Verification and Validation 1 Gamma-ray Large Area Space Telescope.

Integrating Changes to JPSS Cross-Track Infrared Sounder (CrIS) SDR Algorithm using the Algorithm Development Library (ADL) Vipuli Dharmawardane 1, Bigyani.

End-to-End Design of Embedded Real-Time Systems Kang G. Shin Real-Time Computing Laboratory EECS Department The University of Michigan Ann Arbor, MI

NASA Space Launch System (SLS) Independent Verification and Validation (IV&V) Analysis Processes within Enterprise Architecture (EA) September 11, 2013.

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.

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.

Joint Polar Satellite System Harry Cikanek Director, Joint Polar Satellite System March 18, Science Week.

JWST Integrated Modeling Environment James Webb Space Telescope.

JPSS CGS IDPS Product Generation

SSFS Test Plan/Report Overview of the test cases What “success” means for a data format type test How the tests were conducted Key results and conclusions.

Zhonghua Qu and Ovidiu Daescu December 24, 2009 University of Texas at Dallas.

NOAA Satellite Conference April 8-12, 2013 Mary Kicza Assistant Administrator for Satellite & Information Services.

NASA’s Goddard Space Flight Center LRO Operations Concept Richard Saylor Jr. HTSI/Code 444 August 16-17, 2005.

U.S. Army Research, Development and Engineering Command Review of the Joint Polar Satellite System (JPSS) and the Defense Weather Satellite System (DWSS)

MASSACHUSETTS INSTITUTE OF TECHNOLOGY NASA GODDARD SPACE FLIGHT CENTER ORBITAL SCIENCES CORPORATION NASA AMES RESEARCH CENTER SPACE TELESCOPE SCIENCE INSTITUTE.

1 Next Generation of Operational Earth Observations From the National Polar-Orbiting Operational Environmental Satellite System (NPOESS): Program Overview.

June 2004 SIW-4 - IP in Space Implementation Guide 1 Handbook for Using IP Protocols for Space Missions James Rash - NASA/GSFC Keith Hogie, Ed Criscuolo,

Reginald Lawrence, NOAA/NESDIS/OSD NOAA Direct Readout Conference

NOAA Satellite Proving Ground/User Readiness Meeting

Space Engineering 2 © Dr. X Wu, Space Engineering 2 Lecture 1.

Final Version Micro-Arcsecond Imaging Mission, Pathfinder (MAXIM-PF) Mission Operations Tim Rykowski Jeffrey Hosler May 13-17, 2002.

Space Systems Engineering: Functional Analysis Module Functional Analysis Module Space Systems Engineering, version 1.0.

Ocean Observatories Initiative OOI Cyberinfrastructure Architecture Overview Michael Meisinger September 29, 2009.

JAG/ODAA Fall 2008 James Vermeulen & Jon Whiteside JAG-ODAA Co-Chairs Recommend NCEP's Bradley Ballish replace Jon Whiteside (term completed)

© 2012 xtUML.org Bill Chown – Mentor Graphics Model Driven Engineering.

Interface Data Processing Segment ArchitectureFigure David Smith, JPSS CGS Chief Architect Kerry Grant, JPSS CGS Chief Engineer Raytheon Intelligence.

BACKUP XDRs and NDE PRODUCTS Fall 2010 COPC Meeting (AFWA – Offutt AFB) Jim Vermuelen FNMOC - Data Ingest Team Supervisor WG-CSAB Member JAG/ODAA Co-Chair.

COPC Meeting, May 27 – 28 th 2015 NDE Operational Status and PDA Update Prepared by: Chris Sisko, NDE Operational Status.

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.

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.

NPP High Rate Data (HRD) Broadcast: Preparing for the Future Timothy Trenkle Patrick Coronado October 6, 2005.

NASA’s Goddard Space Flight Center Lunar Reconnaissance Orbiter Ground System Requirements.

Architecture View Models A model is a complete, simplified description of a system from a particular perspective or viewpoint. There is no single view.

1 Earth Science Technology Office The Earth Science (ES) Vision: An intelligent Web of Sensors IGARSS 2002 Paper 02_06_08:20 Eduardo Torres-Martinez –

Adrian Gardner, NASA GSFC CIO August 16, 2011 Strategic Computing Strategy for Goddard Space Flight Center.

August 2003 At A Glance The IRC is a platform independent, extensible, and adaptive framework that provides robust, interactive, and distributed control.

March /5/2016 At A Glance STARS is a real-time, distributed, multi-spacecraft simulation system for GN&C technology research and development. It.

XASTRO-2 Presentation CCSDS SAWG th November 2004.

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

Suomi National Polar-orbiting Partnership (NPP) Martha Maiden Suomi NPP Workshop Sponsored by NASA Applied Sciences Program June 21, 2012.

This document contains proprietary and controlled information of National Space Organization (NSPO) of Taiwan and shall not be duplicated in whole or in.

DOD NPOESS Data Exploitation COPC Action Item ,11 Jim Vermeulen 21 October 2008.

NPP / NPOESS Product Profile of HDF5 Richard Ullman NASA / Goddard NPOESS Integrated Program Office.

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.

National Aeronautics and Space Administration 1 CCSDS Information Architecture Working Group Daniel J. Crichton NASA/JPL 24 March 2005.

Transition of Science Algorithms into Enterprise Product Generation Operations 2016 AMS Annual Meeting Dylan Powell, Ph.D. Lockheed Martin ESPDS Science.

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.

Space Science and Engineering Center University of Wisconsin-Madison Space Science and Engineering Center University of Wisconsin-Madison 1 NPP Atmosphere.

1 The XMSF Profile Overlay to the FEDEP Dr. Katherine L. Morse, SAIC Mr. Robert Lutz, JHU APL

NOAA Transition to New Direct Readout Systems for JPSS Presented to CGMS-44 Working Group 1, agenda item 3.2.

Satellite Information Flow

Joint Polar Satellite System Common Ground System (JPSS CGS)

Technology for a NASA Space-based Science Operations Grid Internet2 Members Meeting Advanced Applications Track Session April, 2003 Robert N. Bradford.

Land Surface Dynamics Workshop

Analysis models and design models

Presentation transcript:

End-to-End Ozone Mapping and Profiler Suite (OMPS) Mission Data Modeling and Simulation Angela Li, Jizhong Chen*, Gary Smith, Lesyle Boyce, Christopher Roberts NASA Goddard Space Flight Center, Software Engineering Division, Mail Code *Columbus Technologies and Services 01/08/121 Pending NASA Code 500 Review

Benefits Requirements traceability to design, code and test in integrated environment Consistent architecture, design, code and documentation of both Flight and Ground Software Subsystems – Reverse engineer C, C++ or Java code for capturing existing Flight and Ground systems developed without a standardized methodology Facilitates automated Verification and Validation(V&V) and gap analysis through the use of model checking tools 2

Benefits (Continued…) Full behavioral code generation for C, C++ and Java applications targeting real-time operating systems Interface Definition and Management -System -to- System and External Interfaces -Verification of information flow between key Interfaces SysML provides flexible allocation tables that supports requirements allocation, functional allocation, and structural allocation SysML provides linkage with DoDAF, MODAF or UPDM support 3

JPSS Program External NASA Organizations \ Launch Services Program (LSP) Near Earth Network (NEN) Space Network (SN) Flight Dynamics Facility (FDF) NASA Science Data Segment (SDS) - NPP Only LaRC for CERES Development Customers IDPS Consumers – AFWA, FNMOC, NAVO, NESDIS/NDE, CLASS - National Weather Service, USDA, EPA, Agriculture, Fisheries, DoD Branches of Service etc. Direct Readout Consumers – Civilian, Military, Int’l Search and Rescue Cross Support Ground Systems JAXA Ops EUMETSAT Ops AFSCN Cross Support Flight Segment DMSG – DMSP-x JAXA – GCOM-x EUMETSAT – METOP-x DMSG – DWSS-x NRL – WINDSAT NASA – NPP JPSS Context Diagram March 2, 2011 JPSS-1 JPSS-2 Free Flyer  TSIS FF  Services FF − SARSAT − A-DCS JPSS Flight Projects External NOAA Organizations OSPO STAR Climate Service OSD NWS JPSS Ground Project Flight Operations – NPP, JPSS, DWSS, Free Flyer Data Acquisition Product Generation and Distribution NPP, JPSS, DWSS, GCOM, Free Flyer Data Acquisition and Routing Only DMSP, METOP, WINDSAT NPP (Instruments)

JPSS-n DWSS-n GCOM-n TDRSS (Example of Use) Stored Mission Data Telemetry Tracking & Control Legend: Retain Intermediate product (RIP) Data Quality Report Argos Beacon / HK Data/ SARSAT Mission Support Data * Implementation dependent KSAT KSAT GCOM SMD WSC DR Terminals JPSS Ground System Operational Flows OV-1 Field Terminals March 2, 2011 HRD LRD MSD Operations Coordination Launch Support, Commissioning & Contingency MSD P r o v i d e s M i s s i o n P l a n n i n g, S p a c e c r a ft C o n tr o l, D a t a A c q u i s it i o n, R o u ti n g, a n d P r o c e s s i n g, P r o d u c t G e n e r a ti o n a n d D i s tr i b u ti o n, C a li b r a ti o n, V a li d a ti o n, a n d E n t e r p ri s e M a n a g e m e n t FDF Ancillary Data, ODAD, SDAD, CODAD GCOM Ops (JAXA) GCOM Ops (JAXA) EUMETSAT xDRs / Metadata X-Band Ka-Band X-Band L/X-Band X-Band S-Band NWS TOC (NOAA) FNMOC AFWA Field Terminal Users functions Joint Polar Satellite System (JPSS) Ground System NSA GPS Crypto Keys GPS STAR (NOAA) STAR (NOAA) Algorithm Updates Free Flyers*: TSIS/A-DCS/ SARSAT Ka-Band McMurdo Launch Support Launch Support NESDIS/ NDE (NOAA) NESDIS/ NDE (NOAA) NAVO X-Band DMSP-n MetOp-n NPP X-Band WindSat / Coriolis Security DMSP Ops (NOAA / 6 SOPS) DMSP Ops (NOAA / 6 SOPS) WindSat DP (NRL/ FNMOC) WindSat DP (NRL/ FNMOC) DMSP DP (AFWA) DMSP DP (AFWA) CLASS (NOAA) CLASS (NOAA) Coriolis Ops (AFSPC) Coriolis Ops (AFSPC) SDS (NPP) Backup TT&C

Mission Data Formats The Consultative Committee for Space Data Systems (CCSDS) Packet Multiplexing Protocol Data Unit (MPDU) Coded Virtual Channel Data Unit (CVCDU) Channel Access Data Unit (CADU) Raw Data Record (RDR) Science Data Record (SDR) Environmental Data Record (EDR) Intermediate Product (IP) 6

OMPS Total Column Data Flow 7 01/08/12

Strategies Rapid prototyping of behavioral model – Enable early proof of concept and requirement verification and validatin Leverages NASA reusable assets to rapidly create executable models – Provides simulation of the runtime environments – Verify adequacy of real-time performance requirements Provides capability for early detection and isolation of potential data flow bottleneck – Providing a model view of the system that is scalable to simulate worst case demand loading 8

Strategies (Continued…) Document the format and timing of information flows between systems and/or subsystems in standardized graphical format – Provide automated interface-to-interface verification and validation Support subsystem testing and verification – By providing high fidelity modeling of external stimulus to the unit- under-test in a controlled environment 9

Approaches Flight Vehicle Test Suite (FVTS) – Hardware based Engineering Model (EM) class – Software or COTS hardware based Operations (OPS) class End-to-End Data Modeling – Capture data format change from CCSDS packet to CADU – Use UML tools – Generate code for simulation – Verify the FVTS simulation results independently – Object Oriented (OO) model Easy to extend – Data driven simulation 10 01/08/12

OMPS Class Diagram 11 01/08/12

OMPS Sequence Diagram 12 01/08/12

Path Forward Integrate the model with an XML Parser Initialize the model with real OMPS science RDR files – Done Run the Simulation from Packet to CADU Make the model simulation data driven Run simulation side-by-side with FVTS Or feed the simulation data into FVTS 13 01/08/12

Summary OMPS End-to-end Data Modeling provide us a clear, visual way to understand mission science data format The Simulation capability of the data model provide us a way to inject real science data into FVTS The object oriented nature of the model is very easy to be extended to any instrument, any data product, including: – Spacecraft house keeping – Instrument calibration 14

Acknowledgement Holly Abraham – Columbus Technologies and Services Brett Mathews - Columbus Technologies and Services Larry Barrett – Orbital Science Corp. Richard Cember – Computational Physics Inc. Timothy Dorman – Computational Physics Inc. 15