a. FY12-13 GIMPAP Project Proposal Title Page version 04 August 2011

1. a.FY12-13 GIMPAP Project Proposal Title Pageversion 04 August 2011 Title:Utilizing GSICS Radiance Corrections in Operational Products Status: New Duration: 2 years Project Leads: Mat Gunshor / CIMSS/SSEC/UW-Madison / matg@ssec.wisc.edu Tim Schmit / NOAA/NESDIS/STAR/ASPB / tim.schmit@noaa.gov Other Participants: Jim Nelson / CIMSS Tony Schreiner / CIMSS Andy Heidinger / NOAA/NESDIS/STAR/ASPB Fred Wu / NOAA/NESDIS Fangfang Yu / ERT, Inc.

2. b. Project Summary • The Global Space-based Inter-Calibration System (GSICS) generates files with calibration corrections based on comparisons of GOES to AIRS and IASI. • There has not been a concerted effort in the GOES project to make use of these improved, calibrated radiances. • We believe that the use of radiances with improved calibration could improve GOES product accuracy.

3. GSICS comparison of GOES-15 Imager 10.7um IR Window to AIRS and IASI

4. c. Motivation / Justification • We know there are calibration errors with measured GOES radiances that range from minor (on order of 0.1K) to major (greater than 1K). • GOES products use bias corrections • Bias corrections currently based on forward model comparisons; independent of high spectral resolution observations • GOES product accuracy could be improved using better calibrated data

5. d. Methodology • GSICS-corrected radiance data will be used to produce parallel versions of Imager cloud products (Effective Cloud Amount and Cloud Top Pressure). • This will be done as a reanalysis for a representative sample of data • Cloud product accuracy can be verified by comparison to data from CALIPSO • We expect to add Sounder products to the effort in the 2nd year.

6. GOES-11 Sounder Cloud Top Pressure for 7 September 2010, nominal 18UTC image, generated using: GSICS coefficients as bias correction. The “Simple Bias” correction. The difference (GSICS-Simple) in the bias correction methods, which demonstrates that with the GSICS bias some of the high clouds (north, southeast portions of the image) get higher and some of the lower clouds (Pacific) get lower (higher pressure). It also appears that the GSICS bias takes out more of the noise.

7. e. Expected Outcomes • Improvement in Imager cloud products when using better calibrated radiances. • Determine what “time-scale” of GSICS corrections (today’s, yesterday’s, last week’s, averaged) are needed to get the best results and/or “good-enough” results. • Reanalysis vs Operations • “Better” bias adjustments in products • Calibration vs forward model

8. e. Possible Path to Operations • GSICS calibration files are available via FTP and could be used to adjust radiances that are used in generating products. • At this point in the GOES program we see it as “very unlikely” that GSICS coefficients could be implemented in GVAR; that does not preclude this having an operational impact. • Research would still need to be done to determine which GSICS coefficients would go in (yesterday’s, last week’s, etc). • The time lapse between operational product generation and when GSICS products are available may determine how this could be implemented in Operations.

9. f. Milestones Year 1. Build the Process Month 1. Obtain and use GSICS to adjust GOES-13 Imager Radiances Month 1. Implement GSICS radiances as preprocessing step in Clouds Month 1-2. Compare GSICS- vs non-GSICS-adjusted products Month 3-4. Validate products vs truth data. Reanalysis of GOES Imager cloud products Month 5-7. Produce clouds with/without GSICS with: Today’s GSICS Yesterday’s GSICS Previous 7 days GSICS Previous 30 days GSICS 7 day average (“today” is day 4) Month 8-9. Validate vs truth data sets Month 10. Determine new bias corrections Month 10-11. Statistical analysis to determine the best use of GSICS for operational use and reanalysis. August 2012 Report

10. f. Milestones Year 2. Build the Process Month 1. Obtain and use GSICS to adjust GOES-13 Sounder Radiances Month 1. Implement GSICS radiances as preprocessing step in Clouds Month 1-2. Compare GSICS- vs non-GSICS-adjusted products Month 3-4. Validate products vs truth data. Reanalysis of GOES Sounder cloud products Month 5-7. Produce clouds with/without GSICS with: Today’s GSICS Yesterday’s GSICS Previous 7 days GSICS Previous 30 days GSICS 7 day average (“today” is day 4) Month 8-9. Validate vs truth data sets Month 10. Determine new bias corrections Month 10-11. Statistical analysis to determine the best use of GSICS for operational use and reanalysis. Month 10-11. Validate for operational West satellite (presumably GOES-15) August 2013 Report

11. g. Funding Request (K)

12. g. Spending Plan FY12 • FY12 $75,000 Total Project Budget • Grant to CI - $75,000 • 70% FTE - $75,000 • Travel - $0 • Publication charge - $0 • Federal Travel – • Federal Publication Charges – • Federal Equipment - • Transfers to other agencies – • Other -

13. g. Spending Plan FY13 • FY13 $80,000 Total Project Budget • Grant to CI - $80,000 • 70% FTE - $80,000 • Travel - $0 • Publication charge - $0 • Federal Travel – • Federal Publication Charges – • Federal Equipment - • Transfers to other agencies – • Other -