GOES R Introduction and Overview: The Requirements Process
Satellite Direct Readout Conference for the Americas

Miami, FL
December 12, 2002
Integrated Approach to Observations
GOES Launch Planning
Availability Planning Launch Satellite Date Date

GOES N Jan 2004 Apr 2004
GOES O Apr 2005 Apr 2007
GOES P Apr 2007 Oct 2008

GOES R Apr 2012 Apr 2012
GOES S Apr 2013 Apr 2015
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

1997-98 El Nino Winter Storm Forecasting
2 Satellite GOES-R Architecture
First Solar X-Ray Imager (SXI) Image September 7, 2001
Opportunities & Challenges for GOES-R
Opportunities & Challenges for GOES-R
Opportunities & Challenges for GOES-R
Opportunities & Challenges for GOES-R
Multi-Satellite GOES-R Architecture
Requirements Flow to GOES-R Architecture Development
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
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

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

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 *

Economic Benefits* Summary for GOES-R Series (2013-2027)
GOES-R System Selection Timeline
GOES R Planning Schedule
Goal – Transition from Individual Systems to System of Systems Architecture

Categories: News