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GOES USERS’ CONFERENCE III: Discussion Highlights Climate Presenter: Paul Try

GOES USERS’ CONFERENCE III: Discussion Highlights Climate Presenter: Paul Try. TOP 5 ISSUES. Visible Calibration, commonality of channels SDS which include cross-calibration and metadata HES hourly full disk vs. rapid scan 570 CWI for 3 time per day conus

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GOES USERS’ CONFERENCE III: Discussion Highlights Climate Presenter: Paul Try

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  1. GOES USERS’ CONFERENCE III:Discussion HighlightsClimatePresenter: Paul Try

  2. TOP 5 ISSUES • Visible Calibration, commonality of channels • SDS which include cross-calibration and metadata • HES hourly full disk vs. rapid scan • 570 CWI for 3 time per day conus • Microwave sounder is critical climate application

  3. Concept of scientific stewardship should begin now with current GOES data as part of risk reduction for GOES-R and following Academy recommendations Observing system performance monitoring Detect problems early Long-term stability and instrument specifications Production of near real-time CDRs Monitor current state of climate system and short -term variations Reprocessing of CDRs for long-term records Consistent, seamless, high quality time series with minimized bias Climate research and applications Joint activities with external community Archive and distribution Includes output of above activities, metadata, and timely distribution Cross-calibration of different satellite sensors International coordination Scientific Data Stewardship

  4. Need calibrated and stable data Reiterate need for visible calibration Need to generate CDRs using a separate CDR processing system, as recommended by the Academy Study. Archiving needs to save all instrument data as soon as instrument is turned on with any ancillary data The mechanics of the archive and distribution of data should be addressed by CLASS via CLASS sponsored user workshops. 1) Needs for Data and Product Distribution

  5. 1) Needs for Data and Product Distribution (Continued) • Adhere to GCOS principles – make sure there is adequate overlap • Metadata – capture history of all instrument data, performance monitoring data. Archive event logs • Metadata should include knowledge of the stability and uncertainty of the measurements, knowledge of the errors.

  6. Educate and train climate community to use GOES-R climate products and complement other satellite and insitu derived climate products Expand existing training programs (Comet, Vista,etc) to include climate modules 2) User Community Training

  7. GOES-R well included in international forums. NESDIS should establish educational outreach for climate 3) NOAA/NESDIS Preparation for GOES-R

  8. Concept of scientific stewardship should begin now with current GOES data as part of risk reduction for GOES-R and following Academy recommendations Observing system performance monitoring Detect problems early Long-term stability and instrument specifications Production of near real-time CDRs Monitor current state of climate system and short -term variations Reprocessing of CDRs for long-term records Consistent, seamless, high quality time series with minimized bias Climate research and applications Joint activities with external community Archive and distribution Includes output of above activities, metadata, and timely distribution Cross-calibration of different satellite sensors International coordination 4) GOES-R Risk Reduction

  9. Budget in place to begin SDS risk reduction in 2007, so training can begin in 2009. 5) User Readiness Timeline

  10. Reiterate need for visible calibration Archiving needs to save all instrument data as soon as instrument is turned on with any ancillary data The NESDIS Instrument Performance Monitoring system under development needs to be connected to CLASS. Cross-calibration with LEO – we want prelaunch intercalibration between GOES and NPOESS. Matching channels (bandpasses) between GOES-R and NPOESS to optimize satellite intercalibration whenever possible. - extremely important and study is underway!!! Adhere to GCOS principles – make sure there is adequate overlap 6) Other Issues

  11. 6) Other issues (Continued) • Metadata – capture history of all instrument data, performance monitoring data. Archive event logs. • GOES-N (13) –capture and archive all test data. • Need to have a working group/plan for cross-calibration between LEO and GEO. Plan for system of systems calibration. Include international community and recognize international standards. • Need to define standards for long-term stability that can accepted by international space agencies. • Need to have strong calibration/radiance performance monitoring element for satellite intercalibration

  12. 6) Other issues (Continued) • Need to ensure sufficient budget for climate processing and reprocessing. Need to budget scientific data stewardship for GOES-R. • Current GOES-R Risk Reduction activities should include SDS • 0.47 channels is critical for climate application • HES may not have the capability to have full disk and mesoscale rapid scan at the same time, but full disk every hour is desirable for climate. • Cal/val working group – make sure calibration and validation satisfies science requirements, recommendation to include academic community and to make sure that long-term stability requirements are included.

  13. 6) Other issues (Continued) • Explain to climate community on possible sensor technology limitations for not meeting long-term stability requirement for GOES-R • How do we ensure absolute calibration between different satellites. • Importance of 570 band for CWI (300 m res) and observe CONUS at least 3 times a day to improve modeling of carbon exchange between surface/vegetation and boundary layer. • Need subsetting tools for users, specify lat/lon boxes -- CLASS function. • Adequately document and identify climate parameters needing high temporal refresh rates.

  14. 6) Other (Continued) • List climate data records from GOES-R and how it complements NPOESS. Color code based on performance - climate matrix for GOES-R EDRs • Metadata should include information to allow easy imager and sounder integration (collocation) • Imager and sounder should be coregistered within some time constraint. • Algorithms must be documented and archived. • Microwave similar to AMSU-A would be very useful for climate applications.

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