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2017 Space Symposium Big Ideas and Architectures, Part 2 3 April 2017 NOAA Satellite Observing System Architecture (NSOSA) Study Update Dr. Karen St. Germain Director NOAA/NESDIS Office of System Architecture and Advanced Planning (OSAAP)
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NOAA Satellite Observing System Architecture (NSOSA… · NOAA Satellite Observing System Architecture (NSOSA) Study Update Dr. Karen St. Germain ... NOAA Satellite Observing System

Jul 30, 2018

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Page 1: NOAA Satellite Observing System Architecture (NSOSA… · NOAA Satellite Observing System Architecture (NSOSA) Study Update Dr. Karen St. Germain ... NOAA Satellite Observing System

2017 Space Symposium

Big Ideas and Architectures, Part 2

3 April 2017

NOAA Satellite Observing System

Architecture (NSOSA) Study Update

Dr. Karen St. GermainDirector

NOAA/NESDIS

Office of System Architecture and Advanced Planning (OSAAP)

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Agenda

• OSAAP Overview

• Background to the NSOSA study

• NSOSA Value Model (requirements) Process

• NSOSA Study Follow-ons

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OSAAP Overview & Responsibilities

Strategy, Prioritization, Consistency, and Communication

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Architecting the Future

Global Earth Observing Satellite System

OSGS OSPO

JPSS

GOES-R COSMIC, Jason

NWS NOS

Next Generation Integrated & Adaptive Ground Operations

Integrated & Assimilated Operational Data Flow

Defining the next

observations

Defining the integrated operations and data

management system

Merging the data with

models to meet user

needs

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How is NESDIS Approaching This?

• How to Find Balance: Capabilities vs Cost, New Technology vs

Continuity?

NOAA Satellite Observing System Architecture (NSOSA)

Study

• How to Fuse More Sources?

Enterprise Systems Engineering

Enterprise Ground Architecture

Transparency

• How to Effectively Engage with New Entrants?

Commercial Space Activities

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Agenda

• OSAAP Overview

• Background to the NSOSA study

• NSOSA Value Model (requirements) Process

• NSOSA Study Follow-ons

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NSOSA Study Background

• The NSOSA study is examining the space segment

architecture decisions for space systems post GOES-R/S/T/U

and JPSS-1/2/3/4

➢Which observation functions should be allocated to which orbits?

➢Should we retain the legacy architecture or seek major change?

➢Which observation functions should be improved?

• Primarily addressing NOAA operational needs

➢Observations that result in warnings, watches, baseline weather and

space weather forecasts, and ocean or fisheries actions

• Scoped to NOAA systems, with a backdrop of partner

contributions and relationships

• Intended to result in Pre-Phase-A program activities

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Planning for the Future

Architecture Analysis

Operational Considerations(NOAA/DoD/ Partners)

Strategic Priorities

Technology Opportunities

Policies & Standards

NOAA User Prioritized Requirements

National Weather ServiceNational Marine Fisheries ServiceNational Ocean ServiceOffice of Oceanic and Atmospheric Research

Commercial

Engagement

Enterprise

Ground

Pre-Phase A

Partner

Sources

Program(s) of

Record

Instrument Capabilities Allocated to Orbits

Assurance / Replenishment / Launch policies

High Level Cost estimates

Technology and Integrated roadmaps

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Baseline and Timing

2020 2025 2030 2035 2040 2045 2050

GOES

JPSS

MTG

JMA-GEO

EPS-SG

Ocean Altimetry

POR2025 Assumed Partner Continuation

Radarsat

COSMIC

NSOSA Scope

DSCOVR/SWFO

EC-Sentinel

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Study Methodology

Functions / GoalsNOAA Operational

NOAA Non-Operational (Science)

Enterprise GroundSoftware and Hardware

capability and capacity

SPRWGSpace Platform

Requirements Working

Group

NSOSAResults

High-Value

Alternative

Architectures

• Architectures

• Cost Estimates

• Integrated Roadmaps

• Technology Roadmaps

NOAA

Leadership

PrioritiesStrategic & Cost Goals

Obs Mission Value

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Study Schedule

AA J A OM J S FJ M

CY 2016

External

ADT

Design Cycle

N D

Mission Value Model

Instr. Catalog Devel.

CY 2017

J J AM

Architecture Design Cycle 1 Cycle 2a Cycle 2b

Industry

SPRWG Meeting

MarginEDR Value Model

Industry Engagement

Design Cycle Prep

S

Roadmap(s) Devel.

Stakeholder Review

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Agenda

• OSAAP Overview

• Background to the NSOSA study

• NSOSA Value Model (requirements) Process

• NSOSA Study Follow-ons

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Linking NOAA Requirements to the NESDIS

Architecture Study

• NSOSA team selected a value model (Environmental Data

Record [EDR] Value Model) based on classes of environmental

observations

• This value model expresses relative mission value of

performance choices and drives the analysis

• Satellite Platform Requirements Working Group (SPRWG)

established to support NOAA leadership in developing this model

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SPRWG Membership

• Rick Anthes, Chair (UCAR)

• Steve Ackerman (U Wisconsin,

CIMSS)

• Bob Atlas (NOAA, AOML)

• Dan Baker (CU, LASP)

• Lisa Callahan (NASA GSFC)

• Jerry Dittberner (Consultant)

• Rich Edwing (NOAA, NOS)

• Pam Emch (Northrop Grumman)

• Michael Ford (NOAA, NMFS)

• Bill Gail (Global Weather Corp)

• Mitch Goldberg (NOAA liaison)

• Steve Goodman (NOAA liaison)

• Chris Kummerow (CSU)

• Terry Onsager (NOAA, NWS, SWPC)

• Kevin Schrab (NOAA, NWS)

• Chris Velden (U Wisconsin, CIMSS)

• Tom Vonderhaar (CSU)

• Jim Yoe (NOAA, NWS, NCEP liaison)

• Jeff Reaves (Executive Assistant)

SPRWG Members Represents Deep Knowledge of NOAA Missions, Current

Operational Models, and Future Model Directions

NOAA Line Offices, NASA, Academia, and Private Sector

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EDR Value Model Objectives Overview

Core Capability Objectives• Regional Real-Time Imaging of CONUS

• Two out of three of: Global IR Sounding, Global MW Sounding, and GNSS-RO

Strategic Objectives (6 Objectives)• Assurance of core capabilities

• Compatibility with fixed budgets

• Assurance of all (remaining) capabilities

• Programmatic responsiveness and adaptability

• Develop and maintain international partnerships

• Low Risk at Constellation Level

Weather and Ocean Objectives (19 Objectives)• 3-D and Ocean Surface Winds

• Imagery and Soundings

• Ocean Color

• Lightning

• Chemical Concentration

• SW/LW Radiation

Space Weather Objectives (18 Objectives)• Coronographs and other Imagery

• In situ space measurements

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EDR Value Model Objectives

Terrestrial / Ocean Objectives Space Weather Objectives

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EDR Value Model Objectives

Strategic Objectives

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NSOSA Value Model Case Study

Space Weather Objectives

Assess (and trade) building a sustained off-Earth-Sun-Axis

observation platform into the next generation architecture

•EVM has 5 off-axis-observations,

mostly associated with CME warning

•Supplying these observations

requires a continuous presence off

the Earth-Sun-Axis (sustained flights)

•A dollar spent on this is a dollar not

spent on terrestrial weather function

improvement (e.g., spectral and

spatial resolution enhancement for

Real-Time Regional Weather Imagery)

•If cost is equal, which is preferred?

•EVM can answer that question

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Agenda

• OSAAP Overview

• Background to the NSOSA study

• NSOSA Value Model (requirements) Process

• NSOSA Study Follow-ons

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After the Study

•NSOSA will inform NOAA’s selection of a future architecture

➢ NSOSA will recommend an allocation of functions to orbits in high

value, cost-effective configuration(s), along with roadmaps

➢NSOSA will identify key cost and value driving instruments and

associated technologies

➢NSOSA will not recommend any particular instrument vendor or data

service provider.

Architecture Analysis

Commercial

Engagement

NOAA Ground

Pre-Phase A

Partner

Sources

Program(s) of

Record

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Pre-Formulation

Architecture Element

Pre-Formulation Activity Acquisition Activity Potential Examples

Commercial Service

▪ Sample Data Buy for System Engineering and Quality Evaluation

▪ Operational Mission Data Buy

▪ Radio Occultation Data▪ Communication Services

New Technology insertion (e.g. Lab-developed)

▪ Technology transition, producibility & manufacturability

▪ Concept competition

▪ System Procurement

▪ EON to mature Small Microwave Sounder to TRL 7 for operational system following NASA-funded MIRADA

Heritage Instrument

▪ Obsolescence Mitigation

▪ System Procurement ▪ EO Focal Planes

Use-driven Data Product

▪ Algorithm transition/development

▪ Operational Data Exploitation Algorithm, End-to-End Validation

▪ Urgent data products (e.g. volcanic eruptions, oil spills)

▪ Pre-Formulation bridges the gap between tech development (typically NASA, National Labs, FFRDCs) & operational system acquisition

▪ Reduces costs thru design concept studies and tech demos▪ Detailed activities will be based on Architecture Study results

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Thank you!