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VIIRS SST Products John Stroup STAR JPSS SST Team:

JPSS Mission Partners Forum 10-12 June 2014, Raytheon Facility, Riverdale MD. VIIRS SST Products John Stroup STAR JPSS SST Team: Alexander Ignatov (Lead), Yury Kihai, Boris Petrenko, Prasanjit Dash, Xingming Liang, Irina Gladkova, Marouan Bouali, Karlis Mikelsons ,

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VIIRS SST Products John Stroup STAR JPSS SST Team:

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  1. JPSS Mission Partners Forum10-12 June 2014, Raytheon Facility, Riverdale MD VIIRS SST Products John Stroup STAR JPSS SST Team: Alexander Ignatov (Lead), Yury Kihai, Boris Petrenko, Prasanjit Dash, Xingming Liang, Irina Gladkova, Marouan Bouali, KarlisMikelsons, John Sapper, Feng Xu, Xinjia Zhou NOAA; CIRA; GST Inc; STG, Inc.; CUNY CMC02 L4 analysis: Bruce Brasnett CMC VIIRS SST Products

  2. JPSS SST Team VIIRS SST Products

  3. ACSPO Users NOAA/National: CRW, NOS, CW, geo-polar blend, NCDC, JPL MUR International: CMC, BoM, EUMETSAT, UK MO, JMA, DMII, IFREMER JPSS Program – Mitch Goldberg, Kathryn Schontz, Bill Sjoberg NASA S-NPP Project Scientist – Jim Gleason NOAA NDE Team – Tom Schott, Dylan Powell, Bonnie Reed JPSS DPA – Eric Gottshall, Janna Feeley, Bruce Gunther VIIRS SDR & GSICS – Changyong Cao, Frank DeLuccia, Jack Xiong, Mark Liu, Fuzhong Weng NESDIS/STAR JPSS Team – Ivan Csiszar, Lihang Zhou, Paul DiGiacomo, Veronica Lance NOAA CRTM Team – Yong Han, Yong Chen, Mark Liu Acknowledgements VIIRS SST Products

  4. VIIRS SST Products IDPS– NOAA Interface Data Processing Segment (IDPS) • NPOESS SST EDR, Developed by NGAS; Operated by Raytheon; Archived at NOAA CLASS; Now owned by NOAA • Jan 2014: NOAA recommends “discontinue the IDPS EDR and concentrate on ACSPO sustainment, development, and Cal/Val” • Will be phased out as soon as ACSPO SST is archived at JPL/NODC ACSPO–NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) • NOAA heritage SST system (AVHRR 4km/GAC & 1km/FRAC) • Jan 2012: Experimental: S-NPP VIIRS and Terra/Aqua MODIS • Mar 2014: Operational SNPP VIIRS; May 2014: GDS2 archived @JPL/NODC • Processes each pixel (0.75km), Full swath, Has RTM & Destriping capabilities • Reported in 10min granules (aggregated from original 86sec granules) NAVO–SEATEMP • Builds on NAVO AVHRR (NOAA pre-ACSPO) heritage • Mar 2013: Operational; May 2013: GDS2 archived @JPL/NODC • Processes 2×2 pixels (1.5km), VZA<54°, conservative cloud mask • Reported in native 86sec granules VIIRS SST Products

  5. There are 2 Products – NAVO and ACSPO. • Which VIIRS SST Do I Use? • ACSPO and NAVO products • Have been compared using SQUAM • Assimilated in CMC L4 (Bruce Brasnett) – Backup Slides VIIRS SST Products

  6. This presentation • Compare ACSPO/NAVO SST Domain & Performance against two global reference SSTs • L4 SST – Canadian Met Centre CMC0.2 Analysis. (Note that VIIRS data are not yet assimilated in CMC0.2) • in situ SST – QCed drifting buoys in iQuam www.star.nesdis.noaa.gov/sod/sst/iquam/ • …using one day of globally representative data • – 23 April 2014 – in SST Quality Monitor (SQUAM) • www.star.nesdis.noaa.gov/sod/sst/squam/ VIIRS SST Products

  7. NIGHT: ACSPO L2 minus CMC L4 23 April 2014 • Delta close to zero as expected • Cold spots – Residual Cloud/Aerosol leakages VIIRS SST Products

  8. NIGHT: NAVOL2 minus CMC L4 23 April 2014 • Retrievals limited to VZA<54° VIIRS SST Products

  9. NIGHT: ACSPO L2 minus CMC L4 23 April 2014 • Shape close to Gaussian VIIRS SST Products

  10. NIGHT: NAVOL2 minus CMC L4 23 April 2014 • NAVO STD slightly better than ACSPO STD • NAVO domain is ~34% of ACSPO VIIRS SST Products

  11. NIGHT: ACSPO L2 minus in situ SST 23 April 2014 • In situ data provide much sparser coverage • May not be fully representative of the globe VIIRS SST Products

  12. NIGHT: NAVOL2 minus in situ SST 23 April 2014 • Smaller coverage with match-ups compared to ACSPO VIIRS SST Products

  13. NIGHT: ACSPO L2 minus in situ SST 23 April 2014 • Shape close to Gaussian, a hint of cold tail (residual cloud) • Performance Stats well within specs (Bias<0.2K, STD<0.6K) VIIRS SST Products

  14. NIGHT: NAVOL2 minus in situ SST 23 April 2014 • Performance Stats comparable with ACSPO • Number of match-ups is ~37% of ACSPO VIIRS SST Products

  15. NIGHT – Summary ΔT = “VIIRS minus CMC” SST (expected ~0) • IDPS: SST domain is +1% larger than ACSPO, All stats degraded • NAVO: SST domain is factor of 3x smaller than ACSPO, stats improved ΔT = “VIIRS minus in situ” SST (expected ~0) • IDPS: SST domain is +13% larger than ACSPO, All stats degraded • NAVO: SST domain is factor of 3x smaller than ACSPO, stats comparable VIIRS SST Products

  16. DAY – Summary ΔT = “VIIRS minus CMC” SST (expected ~0) • IDPS: SST domain is comparable with ACSPO, All stats degraded • NAVO: SST domain is factor of 3x smaller than ACSPO, stats comparable ΔT = “VIIRS minus in situ” SST (expected ~0) • IDPS: SST domain is +5% larger than ACSPO, All stats degraded • NAVO: SST domain is factor of 3x smaller than ACSPO, stats improved VIIRS SST Products

  17. Examples of ACSPO – NAVO Imagery Comparison VIIRS SST Products

  18. ACSPO_V2.30b01_NPP_VIIRS_2014-01-18_0440-0450_20140314.145310_NAVOACSPO_V2.30b01_NPP_VIIRS_2014-01-18_0440-0450_20140314.145310_NAVO Missed lines? Triangular shape? China Korea SEATEMP VIIRS SST Products

  19. ACSPO_V2.30b01_NPP_VIIRS_2014-01-18_0440-0450_20140314.145310_NAVOACSPO_V2.30b01_NPP_VIIRS_2014-01-18_0440-0450_20140314.145310_NAVO China Korea ACSPO VIIRS SST Products

  20. ACSPO_V2.30b01_NPP_VIIRS_2014-01-18_1440-1450_20140314.174252_NAVOACSPO_V2.30b01_NPP_VIIRS_2014-01-18_1440-1450_20140314.174252_NAVO Africa Missed lines? SEATEMP VIIRS SST Products Rectangular shapes?

  21. ACSPO_V2.30b01_NPP_VIIRS_2014-01-18_1440-1450_20140314.174252_NAVOACSPO_V2.30b01_NPP_VIIRS_2014-01-18_1440-1450_20140314.174252_NAVO Africa ACSPO VIIRS SST Products

  22. ACSPO has destriping capability Currently under testing for NOAA Operations VIIRS SST Products

  23. DAY – SST from original BTs in M15 and M16 Striping affects quality of SST imagery and Ocean Dynamics Analyses VIIRS SST Products

  24. DAY – SST from destriped BTs in M15 and M16 Destriping is applied to brightness temperatures and improves SST VIIRS SST Products

  25. DAY – SST from original BTs – effect on cloud mask Striping affects cloud mask (including pattern recognition improvements) VIIRS SST Products

  26. DAY – SST from destriped BTs – effect on cloud mask Destriping required for improved cloud masking – I. Gladkova’s presentation VIIRS SST Products

  27. Conclusion and Near-Future Work • ACSPO and NAVO are two VIIRS SST choices for users • Both are GDS2, available (or shortly will be) via JPL/NODC • ACSPO organized into 10min, NAVO into 86sec granules • ACSPO domain is ~3x NAVO (due to NAVO narrow swath VZA<54°, 2×2 pixel processing, and conservative cloud mask) • ACSPO SSTs comparable to NAVO, with a narrow performance margin Near-Term ACSPO tasks • Focus on users – work individually, address concerns • Reprocess ACSPO L2P back to Jan 2012 / Archive @JPL/NODC • Generate L3 ACSPO product / Reprocess / Archive @JPL/NODC • Focus on improvements in dynamic/coastal areas & high-latitudes • Improve Quality Flags/Levels • Implement destriping operationally VIIRS SST Products

  28. Backup Slides VIIRS SST Products

  29. Some Early Results Assimilating ACSPO VIIRS L2P Datasets Bruce Brasnett Canadian Meteorological Centre May, 2014

  30. ACSPO VIIRS L2P Datasets • Received courtesy of colleagues at STAR • Two periods: 1 Jan – 31 Mar 2014 & 15 Aug – 9 Sep 2013 • Daily coverage is excellent with this product • Experiments carried out assimilating VIIRS data only and VIIRS data in combination with other satellite products • Rely on independent data from Argo floats to verify results • Argo floats do not sample coastal regions or marginal seas VIIRS SST Products

  31. Assessing relative value of 2 VIIRS datasets: NAVO vs. ACSPO Using ACSPO instead of NAVO improves assimilation VIIRS SST Products

  32. CMC Summary • ACSPO VIIRS L2P is an excellent product • Based on the Jan – Mar 2014 sample, VIIRS contains more information than either the OSI-SAF MetOP-A or the RSS AMSR2 datasets • L2P ancillary information: quality level flags and wind speeds are useful but experiment with SSES bias estimates was inconclusive • Current plan at CMC is to assimilate ACSPO VIIRS L2P dataset when it becomes available VIIRS SST Products

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