GOES-R Algorithm Working Group Mitch Goldberg NOAA/NESDIS/Center for SaTellite Applications and...
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![Page 1: GOES-R Algorithm Working Group Mitch Goldberg NOAA/NESDIS/Center for SaTellite Applications and Research (STAR) June 2, 2006 - All Hands Meeting.](https://reader036.fdocuments.in/reader036/viewer/2022062803/56649f445503460f94c6522b/html5/thumbnails/1.jpg)
GOES-R Algorithm Working GroupMitch Goldberg
NOAA/NESDIS/Center for SaTellite Applications and Research (STAR)
June 2, 2006 - All Hands Meeting
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GOES-R Algorithm Working Group (AWG)
•MISSION: To develop, demonstrate and
recommend end-to-end capabilities for the GOES-R Ground Segment and to provide sustained life cycle validation and product enhancements
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End-to-End Capabilities
• Instrument Trade Studies
• Proxy Dataset Development
• Algorithm Development and Testing
• Product Demonstration Systems
• Development of Cal/Val Tools
• Integrated Cal/Val Enterprise System
• Sustained Radiance and Product Validation
• Algorithm and application improvements
• User Readiness and Education
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Management Structure
GOES-R PROGRAM OFFICEGOES-R Program Manager
Application Teams
GOES-R3Program Lead - STAR Chief Scientist
Deputy Program Lead –STAR CoRP Chief
GOES-R AWGProgram Manager - STAR SMCD Chief
Deputy Program Manager - STAR SOCD Chief
Technical Advisory Committee
Science Dev. WG
AlgorithmDevelopment
Executive BoardCHAIR – STAR DIR.
Software Dev. WG
Development Teams
Cooperative Institutes
JCSDA & Others
GOES-R Program Mgt
AWG Mgt & Execution - Alg Selection & Program Guidance
Implements alg runoff, code dev, testing, etc.
Selects specialty area algs and provides special guidance in area of expertise
Validates overall scientific direction and recommends programmatic changes
Scientific Guidance
Risk Reduction effort
Conducts program reviews, recommends changes and provides direction
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• The Application Teams are responsible for planning and executing the activities to develop, assess, select, and recommend candidate algorithms.
• Development teams are responsible for testing candidate algorithms in a scalable operational demonstration environment.
• Outcome -- Recommended and demonstrated algorithms delivered to the System Prime pre-operational code with all supporting materials – test
plans, software and implementation documentation
Responsibilities and Outcome
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Application Teams
• Imagery
• Soundings (Chris Barnet)• Winds (Jaime Daniels)• Clouds (Andy Heidinger)• Aviation (Ken Pryor)
• Aerosols / Air Quality / Atmospheric Chemistry (Shoba Kondragunta)• Hydrology (Robert Kuligowski)• Land Surface (Dan Tarpley)• Ocean Color (Menghua Wang)• SST (Alexander Ignatov)• Cryosphere (Jeff Key)
• Radiation Budget (Istvan Lazslo)• Lightning
• Space Environment (Steven Hill)
• Proxy Data (Fuzhong Weng) • Cal/Val• Data Processing
BOLD are the teams initiated
AAA Application Team
Kondragunta, Shobha (STAR), ChairAckerman, Steven (CIMSS)Hoff, Raymond (UMBC)Pierce, Brad (NASA)Szykman, James (EPA)Laszlo, Istvan (STAR)Lyapustin, Alexie (NASA)Li, Zhanqing (CICS))Schmidt, Chris (CIMSS)
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Application Team Assessment
• Review and Comment on the MRD Spec.
• Current state of algorithms and any deficiencies
• Identify candidate algorithms for GOES-R
• Discuss instrument requirements to meet MRD
• Define proxy data requirements
• Discuss expectations for interaction and inputs from other teams
• Algorithm Action Plan How are you going to reach consensus? What issues must be resolved? How are you going to intercompare algorithms? Description of the testbed environment needed to select the algorithm Schedule of activities needed to meet deliverables
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Common Algorithm Delivery Schedule Template
• 04/06 to 05/07 Algorithm Development Phase
04/06 – 08/06: Algorithm Design Review Preparation 08/06: Algorithm Design and Review (including validation approach) 08/06 – 04/07: Algorithm Development 02/07 – 05/07: Algorithm Testing 05/07: Code is ready for Demonstration
• 05/07 to 09/07 : Demonstration Phase 05/07 – 06/07: Development of test plan 06/07 – 09/07: Hosting of algorithms 07/07: Algorithm Demonstration Walk Through 09/07: Algorithm Recommendation to AWG
• 09/07 to 02/08 : Documentation Phase 09/07: Software Documentation, 12/07: Algorithm Theoretical Basis Document 01/08: Algorithm Implementation and Test Plan Document 02/08: Documentation Walkthrough
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06 07 08 09 10 11 12 13
GOES-R AWG Milestones
Application Teams Assessments
AlgorithmDevelopment,Proxy Data
CollaborativeEnvironment CE Req.
System Prime CE Development
Cal/Val Enterprise System
IV&V of System Integration
AWG Executive Board Review Annual Review and Reassessment of Priorities
V1 V2 V3 V4
P1 P2
RequirementAnalysis
V1 V2 V3
Proxy Data.
V4
*Milestones will be realigned based on Launch & System Prime schedules
Fiscal Years
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Other Key Opportunities
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Objectives
• To improve the use of space-based global observations for weather, climate and environmental applications through operational inter-calibration of satellite sensors.
• To provide for the ability to re-calibrate archived satellite data using the GSICS intercalibration system to enable the creation of stable long-term climate data sets
• To ensure that instruments meet specification, pre-launch tests are traceable to SI standards, and the on-orbit satellite instrument observations are well calibrated by means of careful analysis of instrument performance, satellite intercalibration, and validation with reference sites
Next Steps: Global Space-based Inter-Calibration System (GSICS)
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NOAA-NIST Climate Calibration & Measurement Program
GOAL
Reduced measurement uncertainties to meet climate monitoring requirements
On-orbit cal/val and satellite intercalibration
Standards for absolute instrument characterization & calibration
Chemical and physical reference standards for aerosols & GHGs
Reference sites & vicarious calibration
Climate monitoring measurements, including aerosols & GHG
DATA MANAGEMENT
2008 2009 2010 2011 2012
*Pre-launch calibration standards
*Post-launch calibration standards
*Extra terrestrial standards * Field standards
*Reference metrology & standards for critical atmospheric constituents *Reference data & standards to validate climate models *Lifecycles of aerosols * Mitigation Strategies
*Continue operations Marine Optical Buoy (MOBY) for ocean color *Carbon measurements from aircraft and towers coincident with satellite *Benchmark balloon measurements coincident with satellite overpass *Field campaigns
*METOP/IASI cal/val system *Cal/Val Framework *NPP cal/val system *NPOESS cal/val sys.
* IASI GHG maps (CO2, CO, CH4) * CrIS GHG maps * VIIRS aerosol maps
NOAA Lead NIST Lead In current NOAA program
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Next Steps: ASIC3 National Roadmap
• By developing a National Roadmap for improving satellite instrument calibration and intercalibration, which will advance the nation’s ability to monitor, understand and predict our natural environment
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Climate Mission GoalUnderstand climate variability and change to enhance society’s ability to plan and respond
Climate Mission GoalUnderstand climate variability and change to enhance society’s ability to plan and respond
GEOSS Societal BenefitsRequires integration and understanding of Earth Observations
GEOSS Societal BenefitsRequires integration and understanding of Earth Observations
Derived Overarching RequirementsEnable the assessment, understanding, and prediction of climate variability and change to enhance society’s ability to plan and respond by providing accurate, needed, and trusted information to policy and decision makers
Integrate and Characterize Earth Observations for critical and demanding applications on all time scales
Derived Overarching RequirementsEnable the assessment, understanding, and prediction of climate variability and change to enhance society’s ability to plan and respond by providing accurate, needed, and trusted information to policy and decision makers
Integrate and Characterize Earth Observations for critical and demanding applications on all time scales
Pillars:• Appropriate observing systems which satisfy
accuracy, precision, and stability requirements• System of systems intercalibration, interoperability,
and integration• Data and metadata creation, sustainment, access and
management• Collaboration across organizations and agencies• User community engagement and feedback• Independent validation
Pillars:• Appropriate observing systems which satisfy
accuracy, precision, and stability requirements• System of systems intercalibration, interoperability,
and integration• Data and metadata creation, sustainment, access and
management• Collaboration across organizations and agencies• User community engagement and feedback• Independent validation
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Form a Joint Center for Satellite Instrument Calibration
Pillars:
Appropriate observing systems which satisfy
accuracy, precision, and stability requirements
System of systems intercalibration,
interoperability, and integration
Data and metadata creation, sustainment,
access and management
Collaboration across organizations, agencies,
and nations
User community engagement and
feedback
Independent validation
Pillars:
Appropriate observing systems which satisfy
accuracy, precision, and stability requirements
System of systems intercalibration,
interoperability, and integration
Data and metadata creation, sustainment,
access and management
Collaboration across organizations, agencies,
and nations
User community engagement and
feedback
Independent validation
Build calibration (requirements, approach, SI traceability,
validation) into programs from beginning
Implement repeatable cal/val independent inter-agency certification process and
board (with approval gates)
Participate in Global Space-based Inter-Calibration System
(GSICS)