1 / 14

SPIE 2014 conference, Ocean Sensing and Monitoring 5–9 May, 2014, Baltimore Convention Center, MD

SPIE 2014 conference, Ocean Sensing and Monitoring 5–9 May, 2014, Baltimore Convention Center, MD. Towards Cal/Val of Sentinel-3 SST in NOAA SST quality monitor (SQUAM): initial evaluation of (A) ATSR reprocessing for climate (ARC) http://www.star.nesdis.noaa.gov/sod/sst/squam. SPIE 2014

zander
Download Presentation

SPIE 2014 conference, Ocean Sensing and Monitoring 5–9 May, 2014, Baltimore Convention Center, MD

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. SPIE 2014 conference, Ocean Sensing and Monitoring5–9 May, 2014, Baltimore Convention Center, MD Towards Cal/Val of Sentinel-3 SST in NOAA SST quality monitor (SQUAM): initial evaluation of (A)ATSR reprocessing for climate (ARC)http://www.star.nesdis.noaa.gov/sod/sst/squam SPIE 2014 Ocean Sensing and Monitoring Sensing Sea Surface Temperature Paper 9111-20, 6 May 2014, 5:10-5:30 PM P. Dash1,2, A. Ignatov1, B. Petrenko1,3, Y. Kihai1,3 1NOAA NESDIS, NCWCP College Park, MD 2 Colorado State Univ, CIRA 3 GST, Inc, MD, USA (Emails: FirstName.LastName@noaa.gov) SQUAM objective: A global, web-based, community, quasi NRT, monitor for SST producers & users !

  2. Acknowledgments • Level-2 SST: VIIRS/AVHRR/MODIS • NESDIS SST Team :ACSPO (GAC: 5 platforms, FRAC: Metop-A & B, VIIRS: NPP, MODIS: Terra/Aqua) • P. LeBorgne, H. Roquet :O&SI SAF Metop-A FRAC • D. May, B. McKenzie : NAVO SEATEMP • S. Jackson :IDPS (NPP) • Level-3 SST: AVHRR/(A)ATSR: • K. Casey, R. Evans, J. Vazquez, E. Armstrong:PathFinder v5.0 • C. Merchant, Owen Embury:ARC (ongoing effort – current presentation) • Level 4 SSTs: • R. Grumbine, B. Katz :RTG (Low-Res & Hi-Res) • R. Reynolds, V. Banzon :OISSTs (AVHRR & AVHRR+AMSRE) • M. Martin, J. R. Jones :OSTIA foundation, GHRSST Median Product Ensemble, OSTIA Reanalysis • D. May, B. McKenzie :NAVO K10 • J.-F. Piollé, E. Autret :ODYSSEA • E. Maturi, A. Harris, J. Mittaz :POES-GOES blended • B. Brasnett :Canadian Met. Centre, 0.2 foundation • Y. Chao :JPL G1SST • H. Beggs :ABOM GAMSSA • J Hoyer :DMI OISST • M. T. Chin, J. Vazquez, E. Armstrong :JPL MUR • GHRSST support:Peter Minnett, Craig Donlon, Alexey Kaplan Definitions of levels: L2: at observed pixels (satellite) L3: gridded with gaps (satellite) L4: gap-free gridded, time-averaged CMC

  3. Outline

  4. 1. Space-based SST products Schematic overview of the space-based GOS (source: http://www.wmo.int/pages/prog/sat/globalplanning_en.php) Many SST products (see www.ghrsst.org for more details) (overview of SST products; next slide) Operational producers of global satellite SST CMC

  5. 1. SST datasets Level 4 • Reynolds (AVHRR; +AMSR-E*) • RTG (Low, High Resolution) • OSTIA, Opr+ Retro (UKMO) • ODYSSEA (France) • GMPE (GHRSST) • NAVOK10 • NESDIS POES-GOES Blended • JPL G1SST, JPL MUR • NCODA (NRL) • CMC 0.2, Opr+Reproc • GAMSSA (ABoM) • MGDSST (JAXA, Japan) • RSS (MW, MW+MODIS) • DMISST (Danish Met. Inst.) Level 2/3 • Polar • AVHRR (NESDIS, NAVO, O&SISAF, U. Miami, NODC) • VIIRS (NESDIS, IDPS,NAVO),MODIS,ATSR, • Microwave • Geostationary • GOES (NESDIS, NAVO, O&SISAF) • SEVIRI (NESDIS, O&SISAF) • MTSAT (NESDIS, JAXA) In situ • Sources • GTS, ICOADS, GODAE/FNMOC • Platforms • Drifters, Moorings, Ships, ARGO Floats • Quality Control • May be unavailable or non-uniform To monitor and cross-evaluate these products, SQUAM was set-up, as a community online tool.

  6. 2. SQUAM objective and overview • Cross-evaluate all major global SST products and validate against a consistent reference standard, in NRT • Report their summary statistics online • SQUAM is organized into three major modules: L2, L3, and L4 • The diagnostics aimed at assessing (relative) performance of • Cloud mask • SST Algorithm • Ice-mask .. • Methodology • Analyze global differences, ΔTS = TSminus expected TR • Evaluate global maps for “uniformity” • Distributions for Normality (X~N(µ,σ)) • Compare and Trend parameters in time

  7. 2. SQUAM – web interface Locate this website: Google: “SST + SQUAM” L2: The SST Quality Monitor (SQUAM), J.Tech, 27, 1899-1917, 2010 L4: GHRSST Analysis fields intercomparison, DSR-2, 77–80, 31–43, 2012

  8. 3. Sentinel-3 (S3) mission • Sentinel-3 (source: www.esa.int) • Scheduled: early 2015. builds on the ERS-2/Envisat heritage • SLSTR instrument (Donlon et al., GHRSST XIII ST meeting, Tokyo, 2012): • aims at continuity of SST as good as (A)ATSR or better; SLSTR~ATSR4 • Key improvements over AATSR: increased # of bands, swath and spatial res. for VIS/SWIR, improved coverage < 4 days global ocean • Role of NOAA and SQUAM • NOAA and ESA partnership for sharing L2 data. We will monitor SLSTR SSTs and evaluate it for anchoring (less accurate) ACSPO SST • (A)ATSR Reprocessing for Climate (ARC) data as a test-bed • ARC L2P data is analyzed in SQUAM as prep. for S3 SST. [QF GE 3] • Main objective is to establish a set-up for S3 data; in the process, ARC is being compared with other high-resolution products in HR-SQUAM • Data src.: ftp://ats-ftp-ds.eo.esa.int (search www.esa.int for more info)

  9. 4. ARC SST in HR-SQUAM – preliminary analysis Night: ACSPO MetopAminus OSTIA L4, 30-Mar-2012 • Deviation from TR is flat & close to 0 • Residual Cloud/Aerosol leakages seen in the Tropics, and some in mid-latitudes

  10. 4. ARC SST in HR-SQUAM – preliminary analysis Night: ARC AATSRminus OSTIA L4, 30-Mar-2012 • Deviation from TR is flat & close to 0 • Much narrower swath and lesser coverage (known)

  11. 4. ARC SST in HR-SQUAM – preliminary analysis “ACSPO MetopA– OSTIA” - Night 30-Mar-2012 - Ref. = OSTIA - Metop-A-AVHRR FRAC t(op) ARC AATSR (bottom) “ARC AATSR – OSTIA” • ~Gaussian (both) • Comparable stats (values ~expected) • factor pf ~4 fewer NOBS in ARC

  12. 4. ARC SST in HR-SQUAM – preliminary analysis • Dailyvalidation wrt. Drifters (night) • - Comparable performances (mean & Std dev wrt drifters) for all products • ATSR1 (pink) had sensor issues and should be used with caution • Similar plots available against gap-free L4 fields and will be shown online after further discussions (next time)

  13. 4. ARC SST in HR-SQUAM – preliminary analysis

  14. 5. Summary and Future Work • Preliminary comparisons against high-quality L4 fields and QC’ed drifters from iQuam (www.star.nesdis.noaa.gov/sod/sst/iquam/) show that ARC data performance is comparable with other high resolution products (Metop-A FRAC, S-NPP VIIRS) • Global coverage and number of observations is factor of ~3 to ~6 smaller for (A)ATSR, because of its narrow swath • This work is preliminary and not conclusive. We are in touch with ARC data producers to improve our analyses • Future Work: The major objective of this ARC set-up SQUAM is preparing towards analyses of Sentinel-3 SLSTR SST product, soon after it becomes available. THANK YOU!

More Related