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Summary of GOES-R Activities at CIMSS/ASPB and Recommendations for the Future Steven Ackerman, Tom Achtor GOES-R Algorithm Working Group GOES-R Algorithm.

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Presentation on theme: "Summary of GOES-R Activities at CIMSS/ASPB and Recommendations for the Future Steven Ackerman, Tom Achtor GOES-R Algorithm Working Group GOES-R Algorithm."— Presentation transcript:

1 Summary of GOES-R Activities at CIMSS/ASPB and Recommendations for the Future Steven Ackerman, Tom Achtor GOES-R Algorithm Working Group GOES-R Algorithm Working Group GOES-R Risk Reduction GOES-R Risk Reduction GOES-R Proving Ground GOES-R Proving Ground High Impact Weather High Impact Weather

2 GOES-R Algorithm Working Group (AWG) 19 Tasks with direct responsibility for 19 Tasks with direct responsibility for 22 baseline algorithms developed by CIMSS/ASPB science teams 22 baseline algorithms developed by CIMSS/ASPB science teams 11 option 2 algorithms developed by CIMSS/ASPB science teams 11 option 2 algorithms developed by CIMSS/ASPB science teams 5 hemispheric and regional simulated data sets created leveraging supercomputer time (Proxy) 5 hemispheric and regional simulated data sets created leveraging supercomputer time (Proxy) Instrument performance and waiver Instrument performance and waiver requests through GRAFIIR requests through GRAFIIR Visualization and analysis Visualization and analysis through McIDAS-V through McIDAS-V

3 GOES-R Risk Reduction 12 tasks exploring ideas, testing innovative approaches and demonstrating utility of GOES-R measurements 12 tasks exploring ideas, testing innovative approaches and demonstrating utility of GOES-R measurements 1 EPO task 1 EPO task 2 travel grants 2 travel grants Ability to explore and innovate has enabled new approaches to be developed and tested (FAA, NASA, NextGen, DOD) Ability to explore and innovate has enabled new approaches to be developed and tested (FAA, NASA, NextGen, DOD) Volcanic Cloud Alert System Volcanic Cloud Alert System Nowcasting system development Nowcasting system development Convective Storm Forecast Improvement Convective Storm Forecast Improvement Fusion / Synergy of multiple observations Fusion / Synergy of multiple observations

4 GOES-R Proving Ground Test and validate technologies and products to enable transition to operational use Test and validate technologies and products to enable transition to operational use Work in collaboration with AWG and R3 teams to evaluate baseline and option 2 products Work in collaboration with AWG and R3 teams to evaluate baseline and option 2 products Provide user assessments and feedback to product developers Provide user assessments and feedback to product developers Expand partnerships with GOES-R data and product users Expand partnerships with GOES-R data and product users Emphasis on NWS and NCEP Emphasis on NWS and NCEP Centers Centers

5 GOES-R High Impact Weather Focus on combined use of hyperspectral sounder data from POES with imaging products from ABI Focus on combined use of hyperspectral sounder data from POES with imaging products from ABI Research conducted on scales from mesoscale storms to tropical systems to mid latitude cyclones Research conducted on scales from mesoscale storms to tropical systems to mid latitude cyclones Focus on nowcasting and short range forecast improvement Focus on nowcasting and short range forecast improvement Excellent example of fusion/synergy approach to using multiple sources of information in product development Excellent example of fusion/synergy approach to using multiple sources of information in product development

6 GOES-R Activities: Recommendations for the Future GOES-R research and development must be well supported now and beyond launch GOES-R research and development must be well supported now and beyond launch Science tests – post launch and ongoing calibration/validation studies are crucial Science tests – post launch and ongoing calibration/validation studies are crucial Build upon the early GOES GIMPAP project as a model for future development Build upon the early GOES GIMPAP project as a model for future development Option 2 (SO 2, turbulence, cryospheric, convection, icing, fog, etc) cutting edge GOES-R satellite based decision support needs adequate resources to continue development for innovative integration into operations prior to launch Option 2 (SO 2, turbulence, cryospheric, convection, icing, fog, etc) cutting edge GOES-R satellite based decision support needs adequate resources to continue development for innovative integration into operations prior to launch Post launch research and development will continue to exploit the new measurements with improved products Post launch research and development will continue to exploit the new measurements with improved products

7 GOES-R Activities: Recommendations for the Future Continue Proving Ground to support end-to-end research to operations Continue Proving Ground to support end-to-end research to operations Continue to leverage NESDIS CIs’ research infrastructure and data processing capabilities to further the success of the GOES-R program Continue to leverage NESDIS CIs’ research infrastructure and data processing capabilities to further the success of the GOES-R program Validation will be a key post launch component Validation will be a key post launch component Expand on education and training, from the professional level to EPO Expand on education and training, from the professional level to EPO


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