Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 1 The 15 th GHRSST 2014 meeting, ST-VAL Breakout session 2–6.

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Presentation transcript:

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 1 The 15 th GHRSST 2014 meeting, ST-VAL Breakout session 2–6 Jun, 2014, Cape Town, South Africa Monitoring and validation of high-resolution Level 2 SSTs from AVHRR FRAC, MODIS, (A)ATSR and VIIRS in SQUAM Prasanjit Dash 1,2, Alex Ignatov 1, Yuri Kihai 1,3, John Stroup 1,4, John Sapper 1, Boris Petrenko 1,3 1 NOAA NESDIS, NCWCP College Park, MD 2 Colorado State Univ, CIRA 3 GST, Inc, MD, USA 4 STG, Inc, VA, USA ( s: SQUAM objective: A global, web-based, community, quasi NRT, monitor for SST producers & users ! ST VAL breakout GHRSST XV, Jun 2014, X:XX-X:XX AM

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 2 Major SST data providers: Projects and international group 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) -C. Merchant, Owen Embury: L2P ARC (ongoing effort as a prep for Sentinel-3 SLSTR) Level-3 SST: AVHRR/(A)ATSR: -K. Casey, R. Evans, J. Vazquez, E. Armstrong: PathFinder v5.0 -C. Merchant, Owen Embury: L3 ARC (future work) 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

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 3 Outline 1. High-resolution (HR) SQUAM 2. Example Monitoring of L2 SST with SQUAM metric Maps, Histograms, Time series, Dependence 3. Time-series Validation against QC’ed drifters 3.1. Sensitivity to space-time window for monthly stats 4. Persistent features in monthly maps 5. Drifter error from triple collocation method and correlation between residuals (satellite SST minus Drifters) 6. Summary and future work p: 4 p: 5 p: 6-10 p: p: 13 p: slides

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 4 Locate this website: Google: “SST + SQUAM + HR” L2: The SST Quality Monitor (SQUAM), J.Tech, 27, , High-res (HR) SQUAM and SST products

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 5 MapsHistogramsTime-seriesDependenciesHovmöller ACSPO Metop-A – CMC L4 Some -ve residuals suggesting possible cloud leakages Maps used to check cloud leakage, coverage, and other anomalous situations 2. Monitoring in HR-SQUAM (Example 15 May 2014, Night) ACSPO Metop-A – CMC L4

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 6 MapsHistogramsTime-seriesDependenciesHovmöller 3. Monthly Nighttime VAL vs. iQuam Drifters (20km × 4hr) NAVO: Smaller Domain Improved Std Dev

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 7 MapsHistogramsTime-seriesDependenciesHovmöller Now including ARC (QF GE 3) ATSR1 sensor issue 3. Monthly Nighttime VAL vs. iQuam Drifters (20km × 4hr)

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 8 MapsHistogramsTime-seriesDependenciesHovmöller Reduced window size ×½ space ×½ time Sample size reduced by ×½ Std Dev reduced but not significantly 3. Monthly Nighttime VAL vs. iQuam Drifters (10km × 2hr)

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 9 MapsHistogramsTime-seriesDependenciesHovmöller 3. Monthly Nighttime VAL vs. iQuam Drifters ( 5km × 1hr) Reduced window size ×¼ space ×¼ time Sample size reduced by ×¼ Std Dev reduced not significantly

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa Validation (20 km 4 hr, Mar 2014) : Summary** Products~ECT# of matchesMin / Max (◦C) Mean / MedianStd Dev / RSDSkew / Kurt ACSPO NPP 13: (night) (day) / / / / / / / / 4.46 NAVO NPP / / / / / / / / 5.89 IDPS NPP / / / / / / / / ACSPO Aqua / / / / / / / / 2.76 ACSPO Metop-A 9: / / / / / / / / 2.91 OSISAF Metop-A / / / / / / / / 4.12 ACSPO Metop-B 9: / / / / / / / / 2.56 ACSPO Terra 10: / / / / / / / 3.54 ARC AATSR 10: / / / / / / / / 8.89 ARC ATSR2 10: / / / / / / / / 6.17 * QC’ed drifters from iQuam: outliers not removedwww.star.nesdis.noaa.gov/sod/sst/iquam/ ** All Data for Feb 2014, except: ARC AATSR (Feb 2012), ARC ATSR2 (Feb 2003); ARC ATSR1 not shown (sensor issues)

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 11 MapsHistogramsTime-seriesDependenciesHovmöller Day: Metop-A (ACSPO) minus CMC L4, Apr Persistent features (monthly aggregated) Negative residuals possibly suggest cloud/aerosol leakages

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 12 MapsHistogramsTime-seriesDependenciesHovmöller Day: Metop-A (OSISAF) minus CMC L4, Apr Persistent features (monthly aggregated) More negative residuals possibly suggesting more cloud/aerosol leakages Coverage similar to ACSPO (at grid-level; # obs different)

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa Drifter error using Triple Collocation Method (TCM; O’Carroll et al., 2008) and correlation of residuals (Apr 2014) Residuals (SST – Drifters) ~ECTACSPO NPP IDPS NPP NAVO NPP ACSPO Metop-A OSISAF Metop-A ACSPO Metop-B ACSPO Terra ACSPO Aqua ACSPO NPP 13: (Night) 1.00 (Day) IDPS NPP NAVO NPP ACSPO Metop-A 9: OSISAF Metop-A ACSPO Metop-B 9: ACSPO Terra 10: ACSPO Aqua 13: Combinations for TCMAvg. Error in Drifters* (1x1 deg; may be an underestimate) OSISAF Metop-A, ACSPO Terra, Drifters ACSPO Metop-A, ACSPO Terra, Drifters OSISAF Metop-A, ACSPO Metop-B, Drifters NAVO VIIRS, ACSPO Aqua, Drifters 0.18 (Night) 0.27 (Day) * Drifter errors from different TCM combinations are close but not exactly same – may be due to some correlated errors. The table below shows correlation between residuals. Correlation higher for different products from the same sensor Correlation lower for the same product from different sensors

Monitoring/Validation of HR SSTs in SQUAM GHRSST-XV, 2-6 June 2014, Cape Town, South Africa 14  Monitoring/Validation against L4 fields and QC’ed iQuam drifters shows: o Most products show comparable performance o In preparation for SLSTR, ARC AATSR (QF GE 3) retrievals are evaluated: Domain is ~6-9 smaller than from Metop, performance statistics comparable o NAVO VIIRS has better VAL stats than ACSPO, but in a ~1/3 retrieval domain  Sensitivity to space-time window on monthly matchup shows: o At night, 20km/4hr, 10km/2hr, 5km/1hr, reduces # of matches but does not result in measurable improvements in VAL std dev  Triple-Collocation analysis and residual correlation o Random errors in 1°×1° drifter data ~0.18°C(night)/0.26°C(day), globally o Many products show a high degree of correlation in residuals (SST – drifters). The L4 producers may use this to minimize redundancy in input L2Ps THANK YOU! 6. Summary