1 GOES R Introduction and Overview: The Requirements Process Satellite Direct Readout Conference for the Americas Miami, FL December 12, 2002.

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GOES R Introduction and Overview: The Requirements Process
Presentation transcript:

1 GOES R Introduction and Overview: The Requirements Process Satellite Direct Readout Conference for the Americas Miami, FL December 12, 2002

2 Other Data Integrated Approach to Observations Polar POES (Today) w/METOP (2005) NPOESS (2009) Geostationary GOES I-Series (Today) GOES N-Series (2004) GOES R-Series (2012) Other Satellites NASA DoD International Commercial User Needs

3 GOES Launch Planning AvailabilityPlanning Launch SatelliteDateDate GOES NJan 2004Apr 2004 GOES OApr 2005Apr 2007 GOES PApr 2007Oct 2008 GOES RApr 2012Apr 2012 GOES SApr 2013Apr 2015

4 Need for GOES R Advanced Instruments Current Imager cannot monitor developing severe local storms and still provide simultaneous global surveillance and products Current Sounder cannot see CONUS and ocean area in time required Imager resolution insufficient to see details of storm formation; wind accuracy too low for new model requirements Vertical moisture structure inadequately measured – improvements needed for flash flood forecasts and severe weather information modeling Current Imager has limited ability to monitor volcanic ash, aviation icing hazards, snow/cloud discrimination, mid-level moisture tracking Current instruments technology and parts obsolescence

5 GOES: A Critical Asset in Hurricane Forecasting Hurricane Floyd

El Nino Winter Storm Forecasting GOES Atmospheric moisture during El Nino Winter Storms of December 1997

7 2 Satellite GOES-R Architecture West East Advanced Baseline Imager Hyperspectral Environmental Suite Space Environment Monitor Solar X-ray Imager Services Multi-Function Sensor Lightning Mapper Microwave Sounder Coronagraph Additional Instruments Under Consideration Advanced Baseline Imager Hyperspectral Environmental Suite Space Environment Monitor Solar X-ray Imager Services

8 First Solar X-Ray Imager (SXI) Image September 7, 2001

9 Opportunities & Challenges for GOES-R Observation Requirements Temporal Resolution Spectral Coverage & Resolution Spatial Resolution Radiometric Performance User Needs Opportunities & Challenges Instruments Processing & Communication Technologies End-to-End Architectures Architecture Solutions

10 Opportunities & Challenges for GOES-R Instruments Multispectral Hyperspectral Passive Microwave Active Multi-mode suites Observation Requirements Temporal Resolution Spectral Coverage & Resolution Spatial Resolution Radiometric Performance User Needs Opportunities & Challenges Instruments Processing & Communication Technologies End-to-End Architectures Architecture Solutions

11 Opportunities & Challenges for GOES-R Communications & Processing 2 Orders of Magnitude increase in instrument data throughput  Product distribution and throughput Integration of multiple instruments & platforms On-board processing options Observation Requirements Temporal Resolution Spectral Coverage & Resolution Spatial Resolution Radiometric Performance User Needs Opportunities & Challenges Instruments Processing & Communication Technologies End-to-End Architectures Architecture Solutions

12 End-to-End Architectures Formation vs single satellite Multi-mode operations Replenishment & sparing strategies Distribution between on- board & ground processing Data distribution options Opportunities & Challenges for GOES-R Observation Requirements Temporal Resolution Spectral Coverage & Resolution Spatial Resolution Radiometric Performance User Needs Opportunities & Challenges Instruments Processing & Communication Technologies End-to-End Architectures Architecture Solutions

13 Multi-Satellite GOES-R Architecture West East Advanced Baseline Imager Solar X-ray Imager Services Additional Instruments could be flown on existing satellites or as free-flyers -Microwave Sounder-Coronagraph -Lightning Mapper Advanced Baseline Imager Solar X-ray Imager Services Hyperspectral Environmental Suite Space Environment Monitor Multi-Function Sensor Services Hyperspectral Environmental Suite Space Environment Monitor Multi-Function Sensor Services

14 Requirements Flow to GOES-R Architecture Development Cost Performance User Needs Architecture I 2 GEO Satellite Constellation Architecture II Multi-Satellite Constellation Architecture III Med Earth Orbit Constellation Recommend Alternative(s) Cost Performance Cost Performance Potential solutions to fulfill mission needs Comprehensive assessment with Cost Benefit Analysis as cornerstone End-to-End Systems Space & Launch Command & Control Product Generation & Distribution Archive & Access User Interface & Assimilation

15 Cost and Benefit Analysis Strategy/Methodology Focus analysis on determining –Linkages from improved GOES-R sensors to economic benefits –Avoidable economic losses due to improved advanced warnings of events and improved forecast accuracy Characterize information flow from sensors to "end-users” Determine impacts of the instrument improvements on our products - current emphasis on ABI/HES Identify key benefit domains Hold user forums to elicit insight into improved product benefits

16 Benefit Areas Investigated Agriculture Reduction of temperature error –Reduce unnecessary and expensive frost/freeze mitigation activities Improved soil moisture measurement accuracy –Reduce over-irrigation Aviation Improve convective weather forecasts –Improve route planning –Reduce delays/deviations/cancellations; reduce fuel consumption Volcanic Ash Avoidance –Reduce $M in damage and potential loss of lives

17 Dust Over Southwest U.S.

18 Volcano Detection & Tracking February 2001, Mount Cleveland Eruption

19 Benefit Areas Investigated Recreational Boating Improve hurricane lead time: Reduce boat loss and damage Trucking Improve severe weather lead time / location: Reduce # of accidents/deaths Utilities (Electric, Natural Gas) Improve temperature accuracy: Improve load forecasting and reduce expensive spot purchases

20 Ongoing Benefit Areas Analysis - Not Yet Included in Report Commercial Shipping Improve tropical cyclone track and intensity forecasts; Improve ship routing Emergency Management Increase lead time on severe weather forecasts and hazardous environmental matter; Improve planning and deployment *

21 Economic Benefits* Summary for GOES-R Series ( ) *These benefits are over and above those achieved by the current GOES baseline

22 GOES-R System Selection Timeline Cost & Performance Spectrum Variety of Instrument Combinations 3 Basic Space Architectures Variety of Ground Architectures Apr 03 Architecture I 2 GEOs Architecture III MEOs Reduced Scope of Instrument Combinations Architecture I Reduced Scope of Ground Architectures Architecture II Selected Instrument Suite Selected System Architecture II Multi-Satellites Sep 04Dec 05

23 GOES R Planning Schedule

24 Goal - Transition from Individual Systems to “System of Systems” Architecture Polar Satellites Geo Satellites Other Data Sources Today Formulate integrated system – GOES R with Defined NPOESS Structured approach to including Other Data Sources GOES R NPOESS Other Data Sources Integrated System Programs formulated independent of one another Programs formulated as one integrated system