Center for Satellite Applications and Research External Review

1. Center for Satellite Applications and Research External Review Alfred M. Powell, Jr Director Mike Kalb Deputy Director

2. Rules of Engagement • Review Board Chair • Regulates discussion & questions • Ensures member’s views are adequately represented • Ensures board members receive answers to questions • Review Board Members • Only board members may ask questions • Only the person(s) called upon will answer unless a question is deferred to another individual • Guests, Visitors and Observers • No questions/responses from guests, visitors, and observers • Invited representatives • May provide comments to reviewers during lunch or breaks • Will provide comments when the reviewers go to deliberate on the last day 2

3. Purpose • To externally review the Center for Satellite Applications and Research (formerly ORA) • Using guidelines set by NOAA’s Committee for Monitoring Research • Will be performed every four years • Using the criteria of: • Quality • Relevance • Performance 3

4. Rating Criteria • Quality • Assess the quality of the research and development to ensure that high-quality work will be performed. • Relevance • Assess the degree to which the research and development is relevant to NOAA’s mission, priorities and of value to the Nation • Performance • Assess the effectiveness of the office’s plans, research and development, given the resources provided, to meet NOAA’s objectives and the needs of the nation. 4

5. Quality, Relevance &PerformanceAssess and Advise • Scientific Quality & Productivity • Science Portfolio • Accomplishments and Measures • External Engagement, Programs, & Functions (who you work with and who wants to work with you) • Inter-Agency, Intra-Agency, International, Academia • Relevance: Service to NOAA, society & community (Alignment with goals, needs & priorities) • Relevance to Commerce, NOAA & NESDIS priorities, operations, missions, objectives • Broader Science Community (National & International) • National, State and Local Decision Making & Policies and Societal benefit • Organization • Management, Staffing, Resources • Challenges • Core Capabilities, Strengths, and Ability to Leverage Between Programs • Innovation & Impacts • Future Directions (Opportunities) 5

6. Strategic Questions Looking to the Future PLEASE COMMENT ON ANY AREA THE REVIEW TEAM THINKS APPROPRIATE • ARE WE DOING OUR BEST SCIENCE, PLANNING AND COLLABORATION? • ARE WE VISIONARY ENOUGH? ARE WE REALISTIC ENOUGH? • DO WE ARTICULATE A WINNING BUSINESS MODEL? • HAVE WE PROPERLY VALUED OUR CORE CAPABILITIES? • CAN WE LEVERAGE OUR CORE CAPABILITIES BETTER? • WHERE ARE OUR OPPORTUNITIES FOR CONTRIBUTION AND RELEVANCE? • WHERE IS OUR POTENTIAL FOR GREATEST CONTRIBUTIONS & GROWTH? • ARE WE RESOURCED AND ORGANIZED TO SUCCEED? GROW? LEAD? 6

7. STAR REVIEW INTRODUCTION Director Alfred M Powell, Jr Deputy Director Mike Kalb

8. Center for Satellite Applications and Research (STAR) Mission To accelerate the transfer satellite observations of the land, atmosphere, ocean, and climate from scientific research and development into routine operations, and offer state-of-the-art data, products, and services to decision-makers. 8

9. Satellite Constellation Example International Systems MSG EuropeINSAT India METEOSAT JapanFengYunChina LEO GEO Jason-2/3 France CLARREO NASA DESDnylNASA SMAP NASA ICESat-II NASA COSMIC Taiwan NOAA Operational GOES East GOES-RGOES West DMSPMetop NOAA JPSS LEO GEO 9

10. What is Unique about STAR and our Environment? STAR is NOT your typical research office: • STAR focuses on applied research with an eye on the future requirements • Must judge/ weigh the best science, and participant in the broader science community • Must have a Research to Operations Perspective • Must have a Project Management Perspective • Must develop strong, repeatable software engineering process 10

11. NOAA NESDIS Cooperative Institutes Geographical Locations C.I. Leads: U.. Of Wisconsin U. Of Maryland Colorado State University Oregon State University City College of New York (NOAA’s Educational Partnership Program) CIOSS CIOSS CIRA * CIMSS CIRA-RAMMB * * * CIMSS-ASPB CREST CICS • CREST • City College of NY • City Univ NY • Columbia Univ • Lehman College CICS CICS U of Maryland North Carolina State U.. Hampton Univ Bowie State Univ U. Of Puerto Rico Univ. Puerto Rico NOAA’s university partners support scientific research for satellite applications

12. NOAA Organizational Chart 12

13. NESDIS Organizational Chart Mary E. KiczaAssistant Administrator for Satellite & Information Services Charles S. BakerDeputy Assistant Administrator for Satellite & Information Services Abigail D. HarperDeputy Assistant Administrator, Systems Katy Vincent(Acting)Chief of Staff VACANT NPOESS Program Executive Officer BECOMING JPSS W. Stanley WilsonSenior Scientist Helen WoodSenior Advisor for Systems and Services Zachary GoldsteinChief Information Officer Michael Abreu Chief Financial Officer Jane D’AguannoCommercial Remote Sensing Regulatory Affairs Office D. Brent Smith International & Interagency Affairs Office Charles S. Baker (Acting) Office of Space Commercialization Kathy Kelly(Acting) Office of Satellite Data Processing & Distribution Gary K. DavisOffice of Systems Development Kathy KellyOffice of Satellite Operations Al Powell Center for Satellite Applications and Research Thomas Karl National Climatic Data Center Vacant JPSS or NPOESS Integrated Program Office Margarita Gregg National Oceanographic Data Center Christopher Fox National Geophysical Data Center Gregory Mandt GOES-R Program Office 13

14. STAR ORGANIZATION Director Al Powell Administrative, Budget & Grants Staff (Tina East, Patty Mayo, Susan Devine, Tammie Herrin, Juanita and Trivita Horton) Deputy Director Michael Kalb Senior Scientist Vacant Executive Officer Mike Goldberg Technical Support Joe Brust Senior Data Assimilation Scientist Sid Boukabara Cooperative Research Program Division Ingrid Guch 19 Satellite Meteorology & Climatology Division Mitch Goldberg 35 Satellite Oceanography & Climatology Division Paul Digiacomo 23 Environ. Monitoring and Climate Branch Ivan Csizar 12 Regional & Mesoscale Meteorology Branch Mark DeMaria 6 Advanced Satellite Products Branch Jeff Key 7 Satellite Climate Studies Branch Ralph Ferraro 5 Ocean Dynamics & Data Assimilation Branch – Laury Miller 9 Cooperative Institute for Meteorological Satellite Studies (CIMSS) Cooperative Institute For Climate Studies (CICS) Cooperative Institute for Research In the Atmosphere (CIRA) Satellite Calibration & Data Assimilation Branch Fuzhong Weng 12 Marine Ecosystems & Climate Branch Celso Barrientos (act) 7 Cooperative Remote Sensing Science & Technology Center (CREST) Cooperative Institute for Oceanographic Satellite Studies (CIOSS) Operational Products Development Branch Jaime Daniels (acting) 9 Satellite Ocean Sensors Branch Sasha Ignatov 6 14

15. STAR’s Tenets 15

16. Where Satellite Data Acquires Value • OSD plans and acquires systems • OSO manages satellite ingest & communications • STAR turns satellite data into scientific information • OSDPD makes information accessible STAR: where the transformation of satellite data into useful environmental information occurs 16

17. Lubchenco’s New VisionNational Oceanic and Atmospheric Administration Dr. Jane Lubchenco STAR will adapt to the changing priorities NOAA Mission To understand and predict changes in Earth’s environment and conserve and manage coastal and marine resources to meet our nation’s economic, social, and environmental needs • NOAA’s Priorities • Ensure continuity of climate, weather, and ocean observations, both in situ and from space • Development of a National Climate Service • Improve weather forecasts & disaster warnings • Eliminate overfishing and ensure the sustainability of marine fisheries • Promote sustainable, resilient, and healthy coastal communities • Strengthen Arctic science and stewardship 17

18. 2010 Annual Guidance Memorandum 1. Enhancing NOAA's climate services and working with OSTP and relevant federal agencies toward the establishment of a National Climate Service, in support of the nation’s need for sound, scientifically-backed policies and programs to respond to climate change; 2. Supporting comprehensive marine spatial planning, where NOAA can help the nation reconcile competing demands on ocean and coastal resources; 3. Ensuring the sustainability of marine fisheries, where NOAA can simultaneously strengthen ocean ecosystems and local economies; 4. Strengthening Arctic science and stewardship, where NOAA can help to improve our understanding of changing climate and environmental conditions and better inform policy options and management responses to the unique challenges in the Arctic region; and 5. Sustaining satellite-based earth observations, where NOAA’s unique observing systems and partnerships provide irreplaceable, mission-critical environmental data for the nation and the world. 18

19. How STAR Connects to NOAA NESDIS StrategicSatellite Plan (December 2007) NESDIS Strategic Plan(link to PDF – 1-10-2005) Leverage unique role as leaders, innovators, and integrators to support NOAA in achieving an integrated Earth observation and data management system. NOAAStrategic Plan FY 2009-2014(link to PDF – 12-2008)Understand and predict changes in Earth’s environment and conserve and manage coastal and marine resources to meet our Nation’s economic social and environmental needs. Satellite Flyout Schedule (December 2007 , web link) NOAA’s 20-YearResearch Vision NOAA Research Council20-Year Research Vision(link to PDF – 5-26-2005) Provide the public with easy-to-use, integrated products and information services that will vastly improve the way Americans lead their daily lives and the nation manages its natural resources. STAR Strategic Plan(link to PDF – 1-10-2005) Provide NOAA with scientific research and development to accelerate the transition of state-of-the-art satellite products, data systems, and services to operations or use by land, atmosphere, ocean, & climate user communities. JCSDARoadmap (6-15-2009web & PDF) STAR Program PlanSTAR Roadmap (link to PDF – 8-2006) JCSDAStrategic Plan (FY 2009-2013link to PDF) NOAA’s 5-YearResearch PlanNOAA Research Council5-Year Research Plan(link to PDF – 1-14-2008) Support mission goal areasIdentified in NOAA Strategic Plan –Ecosystems, Climate, Weather and Water, and Commerce and Transportation — while underscoring the importance of research that cuts across traditional disciplinary boundaries. STARDivisionRoadmaps(last revised 2006) SMCDSOCDCoRP JCSDA Program Plan STAR Research Project Plans The 2007 version of these plans is available internally, but a redacted version will be publicly available for the 2010 plans. JCSDAOperating Plan (FY 2009-2013link to PDF) 19

20. NOAA Strategic Plan (FY 09-14) Critical missions, science, and collaboration help prioritize STAR’s efforts • NOAA’s 5 mission goals were derived from stakeholder input and internal assessments of our mandates and mission • For each mission goal, the Strategic Plan lists the relevant: • Performance, Programs, Outcomes & Objectives • NOAA’s Next Generation Strategic Plan is expected in early 2010 • NOAA’s research enterprise works to support requirements needed for each goal to achieve its mission and associated outcomes in NOAA’s Strategic Plan 20

21. NOAA Research Context (from NOAA’s 5-Year Research Plan) US / IEOS Societal Benefits Improve Weather Forecasting Reduce Loss of Life and Property from Disasters Protect and Monitor Our Ocean Resource Understand, Assess, Predict, Mitigate, & Adapt to Climate Variability and Change Support Sustainable Agriculture and Forestry and Combat Land Degradation Understand the Effect of Environmental Factors on Human Health and Well-Being Develop the Capacity to Make Ecological Forecasts Protect and Monitor Water Resources Monitor and Manage Energy Resources NOAA Research Questions STAR’s research reflects NOAA’s research questions, societal benefits and priorities • What factors, human and otherwise, influence ecosystem processes and impact our ability to manage marine ecosystems and forecast their future state? • What is the current state of biodiversity in the oceans, and what impacts will external forces have on this diversity and how we use our oceans and coasts? • What are the causes and consequences of climate variability and change? • What improvements to observing systems, analysis approaches, and models will allow us to better analyze and predict the atmosphere, ocean, and hydrological land processes? • How are uncertainties in our analyses and predictions best estimated and communicated? • How can the accuracy and warning times for severe weather and other high-impact environmental events be increased significantly? 21

22. Supporting NOAA’s Goals STAR’s external review presentations are organized by the goal themes and targets associated satellite applications 22

23. The Mission Support Goal (from 5 year plan) Captures core observations and their infrastructure needs for NOAA Develops ship, aircraft, and satellite systems that ensure continuous observation of critical environmental conditions. Four key areas guide research in: • Advancing space-based data collection capabilities and associated platforms and systems • Advancing in situ and surface-based data collection capabilities and associated platforms and systems • Overall observing systems architecture design • Data management, associated visualization technology and models, and related high performance computing and communication 23

24. STAR’S ROLESatellite Mission Support Critical missions, science, and collaboration help prioritize STAR’s efforts • NESDIS: Operational Satellite Mission • POEs, GOES, JPSS (NPOESS), GOES-R, EUMETSAT, DMSP, JASON, etc • All NOAA’s Goals: crosscutting mission • Interagency Applications: scientific collaboration • NASA, NIST, DoD, DoE, EPA, etc. • Readiness for the Decadal Survey Missions • International Connectivity: programmatic linkages • CEOS, GEOS, GEO, GSICS, WMO, etc 24

25. STAR Threads STAR threads help us focus on critical areas for improvement • Algorithm & Product Development • Transition Processes Research to Operations / Applications (R20) • Internal NOAA (SPSRB, OSIP, Test Beds, Coast Watch, ) • External NASA (Transition interface congressionally mandated) • Calibration / Validation • Monitoring & Analysis • Modeling Support and Assimilation • Model Validation, Data Assimilation, Data Impacts • Integrated Observations, Products and Synthesis • Multi-Spectral, Multi Sensor / Platform / in situ / model / blended products • External Engagement & Partnerships • Cooperative Institutes, Educational Partnership Program, etc. • NASA Science teams • International collaboration • Observing Mission Development & Support • Processing System Design & Development • Data Integration / Blending / Merging 25

26. Changing Paradigms Adapt science achievements to be compatible with program needs in order to maximize STAR’s effectiveness • Single Threaded to Multi-Threaded Applications • Software Engineering processes • Program/project management • Same Science approach to software • Repeatable processes (CMMI certification) • Earned value management • Improved management & documentation • PDR, CDR, etc • Better Research to Operations • Transition Scientist program with NASA • Satellite Products & Services Review Board 26

27. Key ProgramSelected Examples Joint Center for Satellite Data Assimilation Existing program (since 2000) GOES-R Algorithm Working Group New program (started 2006, funding in 2007) Satellite Operation Algorithm Readiness Vetted concept for satisfying the Global Earth Observation System of Systems (GEOSS) capability for NOAA satellites and their data applications National Calibration Center New concept (under formulation) These programs reflect the breadth and scope of STAR’s efforts to improve our capability and change the paradigm 27

28. JCSDA Science Priorities Radiative Transfer Modeling (CRTM) Preparation for assimilation of data from new instruments Clouds and precipitation Assimilation of land surface observations Assimilation of ocean surface observations Atmospheric composition; chemistry and aerosol Overarching goal: Help the operational services improve the quality of their prediction products via improved and accelerated use of satellite data & related research Recently, new interim goals to improve JCSDA’s output by: (1) emphasizing global model forecast skill and (2) ensuring JCSDA projects link research to operations Research activity areas have driven the JCSDA since 2001 and were approved by the Science Steering Committee 28

29. Joint Center for Satellite Data Assimilation (JCSDA) Agency Executives NASA, NOAA, Department of the Navy, and Department of the Air Force Management Oversight Board NOAA / NWS / NCEP (Uccellini) NASA/GSFC/Earth Sciences Division (Einaudi) NOAA / NESDIS / STAR (Powell) NOAA / OAR (Atlas) Department of the Air Force / Air Force Director of Weather (Zettlemoyer) Department of the Navy / N84 and NRL (Chang, Curry) JCSDA Executive Team Director (Riishojgaard) Deputy Director (Boukabara) Partner Associate Directors (Lord, Rienecker, Phoebus, Zapotocny) JCSDA Management Structure • JCSDA improves: • Data assimilation & forecast skill • Research to operations • NOAA & interagency collaboration Advisory Panel Science Steering Committee 29

30. GOES-R Algorithm Working Group (AWG) STAR Office of Primary Responsibility ADEB Algorithm Development Executive Board CHAIR – STAR DIR. GOES-R AWG Program Manager - STAR SMCD Chief Deputy Program Manager - STAR SOCD Chief TechnicalAdvisory Committee GOES-R Risk Reduction Program Lead - STAR Chief Scientist Deputy Program Lead –STAR CoRP Chief Conducts program reviews, leads IV&V, recommends changes and provides direction GOES-R Ground Segment Project GOES-R Program Management GOES-R GS Project Manager Functional Responsibility AWG Mgt & Execution - Alg Selection & Program Guidance Establishes requirements, standards, infrastructure, architecture, integrates software from the product development teams, and prepares deliveries to system prime Scientific Guidance Integration Team Risk Reduction effort Risk Reduction effort (includes exploratory algorithms, processes and improved data utilization) Selects specialty area algs and provides special guidance in area of expertise Application Teams Cooperative Institutes JCSDA & Others Development Teams AWG Program Structure changed the way STAR interacts with satellite programs Implements alg runoff, code dev, testing, etc. 30 30

31. Satellite Operational Algorithm Readiness (SOAR) - Purpose • Proposed a STAR-led Satellite Operational Algorithm Readiness (SOAR) Program to provide: • Cross-cutting and cost effective interoperable multi-sensor and multi-platform algorithms • Prelaunch and post launch instrument calibration/validation. • User readiness, training and value-added applications. • Repeatable mature process for all activities. • Transition NOAA, NASA, DOD, USGS, international& academic satelliteresearch to NOAA operations. (Supports NOAA’s Global Earth Observation System of System [GEOSS] concept) • To improve the development and transition of satellite derived products to operations by integrating the algorithm development process across satellite programs (domestic and international) and engage the user community throughout the process. SOAR concept extends the successful GOES-R AWG approach to all satellite programs used by NOAA

32. Proposed SOAR Matrix Organizational Structure SOAR Acquistion Interface STAR becomes a ‘client’ of the satellite programs JPSS/NPOESS Program Manager NASA Program Managers International Satellite Program Managers GOES-R Program Manager Interface with program GOES-R SOAR Project Scientists NPOESS SOAR Project Scientists NASA SOAR Project Scientists International SOAR Project Scientists Algorithm Development Evaluation Board (Independent Review) SOAR Program Office Director Program Managers Project Scientists Algorithm Integration Managers NCC Manager User Readiness Manager National Calibration Center (NOAA, NIST, NASA) Quality Assurance and Standards Committee LEGEND RED = Today’s GOES-R AWG Algorithm Development and User Readiness Testbed

33. National Calibration CenterProposal NESDIS/STAR Executive Review Board Science Steering Committee NATIONAL CALIBRATION CENTER Director (NOAA) Agency Associate Directors (NASA, NIST, NOAA, others) Scientific & Support Staff Agency Technical Liaisons International -WMO/GSICS -CEOS/GEO NWP centers, data centers & JCSDA Operational support (NOAA) Collaborative R&D, R2O, R2O2R -Participating agencies/labs/ universities Service-based projects for all satellite applications Acquisition Programs User community: NWP centers, operational & acquisition programs, data centers, climate science community, GEOSS, CEOS, general data users, and others. The planned NOAA-led NCC will be at a working level to provide support services to our satellite programs 33 33

34. STAR Partnerships Government Connections NASA’s planned Decadal Survey Missions DoD missions (DMSP & JPSS/NPOESS-next) International Missions Leveraging measurements from other nations Global Precipitation Mission (GPM), OCEANSAT II, etc. Cooperative Institutes & Partnerships Achieving research success through our university partners: U of WI, OSU, CSU, UMd, CCNY 34

35. Key Satellite Research to Operations Transition Efforts STAR supports opportunities for satellite instrument and algorithm collaboration OSVW from QuikSCAT – October 14, 2009 • GPS Radio Occultation • Proposed COSMIC partnership follow-on mission • Ocean Surface Vector Winds • Proposed Japanese Space Agency (JAXA) partnership for dual frequency scatterometer on GCOM missions • Letter of intent signed with Indian Space Research Organization for sharing Oceansat-2 data • Solar Wind • Proposed partnership to refurbish and fly existing DSCOVR satellite and subsequent follow-on mission • STAR is negotiating to pickup space environmental algorithm development 35

36. Pathways for Research to Operations (R2O) The improved R2O process reduced the transition time and increased products Satellite Products Systems Review Board (SPSRB) Algorithm Working Group (AWG) Processes NWS Ops Sat Improvement Program Testbeds and Proving Grounds 36

37. STAR FACTS Taking a brief look at STAR via: • Who we are and where we are • What we do • How we train • Our people • Our key accomplishments • Our resources STAR is more than numbers; we’re good people doing creative and interesting work

38. STAR WORKFORCE • It takes a lot of people to make an office run smoothly PLUS….. • Trained personnel • Highly qualified scientists • Competent Managers • A Coordinated Program • A vision and clear purpose • Efficient processes • An understanding of what needs to be done • A team willing to do what’s needed Emphasizes scientific & technical services plus the supporting functions 38

39. STAR FACTSEducation Profile Civil Servants Contractor PhD (48%), MS (32%), BS (14%) , AS/HS (6%), PhD (50%), MS (24%), BS (15%) , AS/HS(6%), STAR staff’s education level is consistent with mission • Ph.D. and M.S. Master’s degreed staff with academic specialties • Atmospheric, Oceanic, Geological, Geophysical, Hydrological, Cryospheric, Biophysical, Ecological, Space Environment (new), and technical sub-specialties in computational science and Information Systems • Experienced in theoretical & practical aspects of a scientific enterprise • Versed in principles & investigative methods common to all sciences • Proficient in applying state-of-the-art mathematical, computational, and analytical methods and tools used in their technical specialty 39

40. Where We Work Where We Work Camp Springs, WWB (57,101, 158) Camp Springs, Airman’s Bldg (2,24, 26) Silver Spring, SSMC-1 (10,8, 18) Offsite (0,18,18) Univ. Maryland (4,5, 9) Univ. Wisconsin Madison (6,0, 6) Colorado State University (5,0, 5) Suitland, Satellite Ops Facility (3, 3, 6) EROS Data Center (1,0, 1) Our Workforce Future Home Of STAR & NCEP NEW BUILDING: NATIONAL CENTER FOR WEATHER AND CLIMATE PREDICTION (NCWCP) Managing a workforce in multiple locations requires excellent managers KEY = ( GOVT #,Contractor or Visiting Scientist #,TOTAL) 88 Civil Servants (of 101 possible) 27 Visiting Scientists & Postdocs 132 Contractors (132 / 88 =1.50) 247 Total 40

41. STAR WORKFORCE Age Distribution Approximately40% of STAR’s workforce retired in the last 5 years 40% of STAR’s workforce MAY RETIRE in the next 5 years 41

42. STAR WORKFORCE NUMBER OF RECENT HIRES • 2005 11 hires • 2006 12 hires • 2007 8 hires • 2008 5 hires • 2009 6 hires • Total: 42 Turnover of STAR workforce will impact future readiness 42

43. STAR Training Office Tng Management Specialty Functions IT Technical STAR training efforts helped prepare us for today’s mission Now we need to prepare for tomorrow’s mission 43

44. STAR FACTS Peer Reviewed Publications Measure of scientific knowledge gained is reflected in STAR’s publications 44

45. STAR FACTS RESEARCH TO OPERATIONS • PRIOR TO 2006 STAR transitioned 1 to 3 products to operations/year • AFTER 2006: product process was modified resulting in more product transitions, reduced costs, improved schedules • Typical product develop time ranges from 1 to 3 years (includes research, code development, user engagement, etc) • CHALLENGE: Getting operational users to use the products when available Example Transition times from data availability to NESDIS operations AIRS: 2-3 mos, IASI: 2-3 mos CRIS: Est 1-3 mos JASON 2: about 1 month Improved: satellite transition times, number of products transitioned, algorithm documentation, process & priorities due to Satellite Products & Services Review Board 45

46. STAR FACTS Awards and Medals Primarily Department of Commerce Awards STAR’s personnel receive recognition for their achievements 46

47. Govt FTEs, Contractors & Visiting Scientist (VS) CONTRACTOR AND VS DATA INCONSISTENT PRIOR TO SCITECH CONTRACT VEHICLE By invitation: two university scientists spent their sabbaticals with STAR in 2008 (Dr. Ackerman – U of WI and Dr. Green - Desert Research Institute) STAR manpower stabilized for a few years utilizing contract scientific and visiting scientific staff as the resource pool 47

48. STAR FACTSCivil Servant Staffing Available 1987 FTE positions: 140 YEAR: STAR workforce planning is essential to maintain a viable science office 48

49. Succession Planning Why? • Our workforce needs to be ready and positioned to meet future challenges • People, priorities and the satellite constellation are changing NESDIS Succession Planning Phases How? • Leverage larger NESDIS effort • 10yr horizon + multiple growth scenarios • NESDIS had 56% increase in scientists for moderate growth • STAR @ 62% (or a minimum of 109 scientists) for moderate growth • STAR-specific “perspectives” of the scientific workforce (Ex: “Instrument Spectrum”) - Analyze data, adjust strategies STAR 2009-2019 analysis based on several budget growth scenarios STAR, working with NESDIS, gathers and analyzes extensive workforce data to make hiring and training decisions as well as determine strategic directions 49

50. STAR FACTS NESDIS & STAR GRANTS GRANT DOLLAR VALUE ($M) NUMBER OF GRANTS AND… we must now complete MOUs to transfer funds between organizations. They take about 4-5 months to complete. GRANTS are an essential component of STAR’s scientific role 50