Edward Armstrong Jorge Vazquez Mike Chin Mike Davis James Pogue JPL PO.DAAC California Institute of Technology 28 May 2009 GHRSST Symposium, Santa Rosa,

Slides:

Advertisements

Similar presentations

OSTIA : Transition to an Operational System John Stark, Craig Donlon. GlobColour / Medspiration Workshop, 4-6 Dec

Advertisements

Pathfinder –> MODIS -> VIIRS Evolution of a CDR Robert Evans, Peter Minnett, Guillermo Podesta Kay Kilpatrick (retired), Sue Walsh, Vicki Halliwell, Liz.

1 High resolution SST products for 2001 Satellite SST products and coverage In situ observations, coverage Quality control procedures Satellite error statistics.

1 Overview LTSRF Status GHRSST Reanalysis Example L4 Analyses Future Activities GlobColour Connection Villefranche sur mer,

Medspiration user meeting, dec 4-6 Use of Medspiration and GHRSST data in the Northern Seas Jacob L. Høyer & Søren Andersen Center for Ocean and Ice, Danish.

Characterizing and comparison of uncertainty in the AVHRR Pathfinder SST field, Versions 5 & 6 Robert Evans Guilllermo Podesta’ RSMAS Nov 8, 2010 with.

1 High Resolution Daily Sea Surface Temperature Analysis Errors Richard W. Reynolds (NOAA, CICS) Dudley B. Chelton (Oregon State University)

1 A High Resolution Daily SST Analysis Richard W. Reynolds (NOAA, CICS) Dudley B. Chelton (Oregon State University) Thomas M. Smith (NOAA, STAR)

NOAA Climate Obs 4th Annual Review Silver Spring, MD May 10-12, NOAA’s National Climatic Data Center 1.SSTs for Daily SST OI NOAA’s National.

1 Improved Sea Surface Temperature (SST) Analyses for Climate NOAA’s National Climatic Data Center Asheville, NC Thomas M. Smith Richard W. Reynolds Kenneth.

1 NOAA’s National Climatic Data Center April 2005 Climate Observation Program Blended SST Analysis Changes and Implications for the Buoy Network 1.Plans.

1 Overview LTSRF Status GHRSST Reanalysis Example L4 Analyses Future Activities Beijing, October 2006 The GODAE High Resolution.

1 Comparisons of Daily SST Analyses for NOAA’s National Climatic Data Center Asheville, NC Richard W. Reynolds (NOAA, NCDC) Dudley B. Chelton.

MISST FY1 team meeting April 5-6, Miami, FL NOAA: Gary Wick, Eric Bayler, Ken Casey, Andy Harris, Tim Mavor Navy: Bruce Mckenzie, Charlie Barron NASA:

Assessment of one year of Medspiration L4 fields J. Tournadre, J.F. Piollé and E. Autret.

MODIS Sea-Surface Temperatures for GHRSST-PP Robert H. Evans & Peter J. Minnett Otis Brown, Erica Key, Goshka Szczodrak, Kay Kilpatrick, Warner Baringer,

Discovery and Web Services in Support of SST Datasets at the PO.DAAC Edward Armstrong, Jorge Vazquez Toshio M. Chin, Charles Thompson Jet Propulsion Laboratory/California.

ECOOP-WP3 Better use of remote-sensing data and in situ measurements Francis Gohin, Ifremer T3.1 Optimal synergy between altimetry and tide gauge data.

AN ENHANCED SST COMPOSITE FOR WEATHER FORECASTING AND REGIONAL CLIMATE STUDIES Gary Jedlovec 1, Jorge Vazquez 2, and Ed Armstrong 2 1NASA/MSFC Earth Science.

General Objective: Conduct R&D activities to improve the quality of SST products used by MERSEA modeling and assimilation centers and produce global, Atlantic.

DMI-OI analysis in the Arctic DMI-OI processing scheme or Arctic Arctic bias correction method Arctic L4 Reanalysis Biases (AATSR – Pathfinder) Validation.

Application of in situ Observations to Current Satellite-Derived Sea Surface Temperature Products Gary A. Wick NOAA Earth System Research Laboratory With.

GHRSST XIV STM – AUS TAG. Woods Hole 18 June 2013, Cape Cod, MA 1 GHRSST 2013 Annual Meeting – AUS TAG breakout session 18 June, 2013, Woods Hole, MA SQUAM.

Sea surface temperature gradient comparisons from MODIS and AVHRR sensors Ed Armstrong 1, Grant Wagner, Jorge Vazquez, Mike Chin, Gregg Foti, Ben Holt,

Introduction to CMUG assessments, SST and plans for phase 2 Roger Saunders 4 th Integration Meeting.

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.

AMSR-E SSTs in the Multi-sensor Improved SST (MISST) for GODAE : A US contribution to GHRSST-PP Research, Data, and Impacts.

Progresses in IMaRS Caiyun Zhang Sept. 28, SST validation over Florida Keys 2. Potential application of ocean color remote sensing on deriving.

MARACOOS - International Constellation of Satellites – Since 1992 X-Band (installed 2003) L-Band (installed 1992) Sea Surface Temperature - SST Ocean.

Page 1 Validation Workshop, 9-13 th December 2002, ESRIN ENVISAT Validation Workshop AATSR Report Marianne Edwards Space Research Centre Department of.

Sea-surface Temperature from GHRSST/MODIS – recent progress in improving accuracy Peter J. Minnett & Robert H. Evans with Kay Kilpatrick, Ajoy Kumar, Warner.

Evaluation of the Real-Time Ocean Forecast System in Florida Atlantic Coastal Waters June 3 to 8, 2007 Matthew D. Grossi Department of Marine & Environmental.

Meeting Description 8th GHRSST-PP Science Team MeetingMelbourne, Victoria - 14th - 18th May 2007 Status and Application of the HR-DDS Dave Poulter Ocean.

AQUA AMSR-E MODIS POES AVHRR TRMM TMI ENVISAT AATSR GOES Imager Multi-sensor Improved SST (MISST) for GODAE Part I: Chelle Gentemann, Gary Wick Part II:

1 Daily OI Analysis for Sea Surface Temperature NOAA’s National Climatic Data Center Asheville, NC Richard W. Reynolds (NOAA, NCDC) Thomas M. Smith (NOAA,

1 Overview LTSRF Status GHRSST Reanalysis Example L4 Analyses Future Activities D.C., Nov 2006 Long Term Stewardship and Reanalysis.

Yi Chao Jet Propulsion Laboratory, California Institute of Technology

Infrared and Microwave Remote Sensing of Sea Surface Temperature Gary A. Wick NOAA Environmental Technology Laboratory January 14, 2004.

Quality Flags: Two separate sets of QFs are provided in IDPS Product: (1) SST QFs; and (2) VIIRS Cloud Mask. Analyses were aimed at identifying a suitable.

BLUElink> Regional High-Resolution SST Analysis System – Verification and Inter-Comparison Helen Beggs Ocean & Marine Forecasting Group, BMRC, Bureau of.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Ship SST data for satellite SST and ocean.

GHRSST HL_TAG meeting Copenhagen, March 2010 Validation of L2P products in the Arctic Motivation: Consistent inter-satellite validation of L2p SST observations.

Page 1© Crown copyright 2004 Three-way error analysis between AATSR, AMSR-E and in situ sea surface temperature observations

Report to GHRSST11 from Australia – BLUElink> and IMOS Helen Beggs 1,2, Leon Majewski 2, George Paltoglou 1,2, Ian Barton 3, Eric Schulz 1,2 and Ruslan.

Report from the Australian Regional Data Assembly Centre Helen Beggs 1, Leon Majewski 2 and Justin Freeman 1 1 Centre for Australian Weather and Climate.

Multi-sensor Improved SST (MISST) for GODAE : A US contribution to GHRSST-PP Research, Data, and Impacts.

Currents variability on the northern Patagonia continental shelf Alberto R. Piola Daniel Valla Depto. Oceanografía SHN y Depto Cs. Atmósfera y los Océanos,

A comparison of AMSR-E and AATSR SST time-series A preliminary investigation into the effects of using cloud-cleared SST data as opposed to all-sky SST.

Use of high resolution global SST data in operational analysis and assimilation systems at the UK Met Office. Matt Martin, John Stark,

9th June 2008 GHRSST-9, Perros-Guirec SST framework at European level Medspiration, Marine Core Services & SAF O&SI Status and products Jean-François Piollé.

How to Access Data from the Group for High Resolution Sea Surface Temperature (GHRSST) at the Global Data Assembly Center (GDAC) and the Long Term Stewardship.

Martin Rutherford Technical Director Oceanography and Meteorology Royal Australian Navy 02 Jun 2009 Towards a Bias Corrected L4 Median.

International GHRSST User Symposium Santa Rosa, California, USA 28-29th May 2009 MODIS Sea-Surface Temperatures Peter J Minnett & Robert H. Evans With.

2 Jun 09 UNCLASSIFIED 10th GHRSST Science Team Meeting Santa Rosa, CA 1 – 5 June Presented by Bruce McKenzie Charlie N. Barron, A.B. Kara, C. Rowley.

Edward Armstrong, Jorge Vazquez, Andrew Bingham, Thomas Huang, Chris Finch, Charles Thompson, Tim McKnight, and Cynthia Chen JPL PO.DAAC / GDAC California.

Towards the utilization of GHRSST data for improving estimates of the global ocean circulation Dimitris Menemenlis 1, Hong Zhang 1, Gael Forget 2, Patrick.

Characterizing and comparison of uncertainty in the AVHRR Pathfinder Versions 5 & 6 SST field to various reference fields Robert Evans Guilllermo Podesta’

Uncertainty estimation from first principles: The future of SSES? Gary Corlett (University of Leicester) Chris Merchant (University of Edinburgh)

1 Santa Rosa, CA, June 2009 Kenneth S. Casey, Tess Brandon NOAA National Oceanographic Data Center Nick Rayner Met Office Hadley Centre June 2010 GHRSST.

Validation in Arctic conditions Steinar Eastwood (met.no) David Poulter (NOCS) GHRSST9, Perros-Guirec OSI SAF METOP SST, days mean.

Sandra Castro and Gary Wick.  Does direct regression of satellite infrared brightness temperatures to observed in situ skin temperatures result in.

Michael Steele Polar Science Center / APL University of Washington Jan 14, 2009 AOMIP WHOI Mechanisms of Upper Ocean Warming in the Arctic and the Effect.

Edward Armstrong, Jorge Vazquez, Andrew Bingham, Thomas Huang, Chris Finch, Charles Thompson, Tim Stough, Tim McKnight, and Cynthia Chen JPL PO.DAAC /

Sea Surface Temperature Distribution from the Physical Oceanography DAAC Ed Armstrong JPL PO.DAAC MODIS Science Team Meeting.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Systematic biases in satellite SST observations.

GHRSST-9 Perros-Guirec, France 9-13 June Intercomparisons Among Global Daily SST Analyses NOAA’s National Climatic Data Center Asheville, NC, USA.

GHRSST interest in upgraded drifters - Summary from the GHRSST Joint Workshop Melbourne Andrea Kaiser-Weiss, Gary Corlett, Chris Merchant, Piere LeBorgne,

29 May 2009GHRSST User's Symp - SQUAM1 The SST Quality Monitor (SQUAM) 1 st GHRSST Int’l User’s Symposium May 2009, Santa Rosa, CA Alexander “Sasha”

Validation of Satellite-derived Lake Surface Temperatures

NASA Ocean Salinity Science Team Meeting , Santa Rosa, August 2018

Presentation transcript:

Edward Armstrong Jorge Vazquez Mike Chin Mike Davis James Pogue JPL PO.DAAC California Institute of Technology 28 May 2009 GHRSST Symposium, Santa Rosa, CA

Introduction From GHRSST project web site: SST product validation/verification should be based on inter-comparisons: With in situ SST observations made using ships (e.g., radiometers, thermistors, thermosalinographs) and buoys (drifting and moored)... How good are GHRSST L4 products in dynamic coastal regimes. ? How do they intercompare ? Compare 4 GHRSST products in US coastal waters over 1 year (Jun June 2008) GHRSST products: AVHRR_OI, AVHRR_AMSR_OI, OSTIA, mw_ir_OI 28 May 2009GHRSST Symposium, Santa Rosa, CA

GHRSST Level 4 Foundation Temperature 28 May 2009GHRSST Symposium, Santa Rosa, CA

GHRSST Level 4 products AVHRR_OI Blends AVHRR Pathfinder SST with in situ SST from buoys and ships. Daily 28 km resolution. “blend” SST. AVHRR_AMSR_OI Same as above but with addition of AMSRE SST OSTIA Blends AVHRR, AATSR, AMSRE,. TMI, SEVIRI and in situ data. Daily 6 km resolution. Foundation SST. mw_ir_OI Blends AMSRE and MODIS SST. Daily 9 km resolution. Foundation SST. 28 May 2009GHRSST Symposium, Santa Rosa, CA

The Challenge ! SST frontal probability – Mar May 2009GHRSST Symposium, Santa Rosa, CA

SST frontal probability – Sep May 2009GHRSST Symposium, Santa Rosa, CA

NDBC Buoy Locations 28 May 2009GHRSST Symposium, Santa Rosa, CA

Gulf of Mexico matchup statistics over 1 year Bias: GHRSST_SST - buoy_SST Std Deviation of Bias Legend: AVHRR_AMSR_OI AVHRR_OI OSTIA mw_ir_OI 28 May 2009GHRSST Symposium, Santa Rosa, CA

Southwest Atlantic Bias: GHRSST_SST - buoy_SSTStd Deviation of Bias Legend: AVHRR_AMSR_OI AVHRR_OI OSTIA mw_ir_OI 28 May 2009GHRSST Symposium, Santa Rosa, CA

Northeast Pacific Bias: GHRSST_SST - buoy_SSTStd Deviation of Bias Legend: AVHRR_AMSR_OI AVHRR_OI OSTIA mw_ir_OI 28 May 2009GHRSST Symposium, Santa Rosa, CA

24 hour vs. night only matchups Legend: AVHRR_OI AVHRR_AMSR_OI OSTIA mw_ir_OI Do nighttime only comparison improve matchup statistics ?? 28 May 2009GHRSST Symposium, Santa Rosa, CA

Satellite vs. insitu independence mw_ir_OI: no buoys used in assimilation OSTIA: buoys used 28 May 2009GHRSST Symposium, Santa Rosa, CA

Conclusions Most satellite Level 4 products are characterized by larger errors in dynamic areas of coastal regimes near shelf breaks, upwelling and strong eddy areas as compared to offshore areas. Overall the errors are on the order of 0.5 degC although can be as large as 1.0 degC There is generally no improvement in nighttime only comparisons Differences are less than 0.1 degC. Still the representation of foundation temperature in these regions must be treated with some caution. Buoy assimilation inhibits independence of comparisons. Data producers must document which buoy they have used. Future: Include more L4 products such as ODYSSEA, K10_SST, and GAMSSA Investigate seasonal and interannual comparisons Made more possible with new GDAC L4 validation system in support of MUR L4 products May 2009GHRSST Symposium, Santa Rosa, CA

GHRSST L4 validation 28 May 2009

GHRSST L4 validation 28 May 2009GHRSST Symposium, Santa Rosa, CA