1 Sea Surface Temperature Analyses NOAA’s National Climatic Data Center Asheville, NC Richard W. Reynolds.

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.
GHRSST XI Science Team Meeting, ST-VAL, June 2010, Lima, Peru Recent developments to the SST Quality Monitor (SQUAM) and SST validation with In situ.
Hurricanes and Atlantic Surface Flux Variability Mark A. Bourassa 1,2, Paul J. Hughes 1,2, Jeremy Rolph 1, and.
Sea Surface Temperature and Coral Bleaching Using DevCoCast SST Data Yohana Shaghude (IMS/UDSM) and Valborg Byfield (NOCS ) Advanced DevCoCast Training.
Assimilation of sea surface temperature and sea ice in HIRLAM Mariken Homleid HIRLAM/AAA workshop on surface assimilation Budapest 13 November 2007.
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)
NOAA’s National Climatic Data Center 1 NOAA’s National Climatic Data Center – Resources Regarding Climate and Weather Extremes J. Neal Lott, Richard R.
Monthly Composites of Sea Surface Temperature and Ocean Chlorophyll Concentrations These maps were created by Jennifer Bosch by averaging all the data.
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.
Jonathan Edwards-Opperman.  Importance of climate-weather interface ◦ Seasonal forecasting  Agriculture  Water resource management.
Remember “normal” ocean circulation? El Nino? (warm) Trade winds weaken Thermocline drops Upwelling is cut off SST rises in E.Pacific High & Low pressure.
1 Comparisons of Daily SST Analyses for NOAA’s National Climatic Data Center Asheville, NC Richard W. Reynolds (NOAA, NCDC) Dudley B. Chelton.
ATMS 373C.C. Hennon, UNC Asheville Observing the Tropics.
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:
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 POES-GOES Blended SST Analysis.
What weather phenomena has the largest impact on our weather in Texas?
Assessment of one year of Medspiration L4 fields J. Tournadre, J.F. Piollé and E. Autret.
Michael Notaro U.W. Madison Center for Climatic Research OCT2004OCT2004.
Water mass tracking from the region of Hurricane Katrina by R.H. Weisberg, A. Alvera-Azcarate and the entire CMS-USF Ocean Circulation Group College of.
MODIS Sea-Surface Temperatures for GHRSST-PP Robert H. Evans & Peter J. Minnett Otis Brown, Erica Key, Goshka Szczodrak, Kay Kilpatrick, Warner Baringer,
Seasonal Cycle, Monsoons and Tropical Convergence Zones Vernon E. Kousky NOAA/ Climate Prediction Center February 2013.
Page 1© Crown copyright HadISST2: progress and plans Nick Rayner, 14 th March 2007.
General Objective: Conduct R&D activities to improve the quality of SST products used by MERSEA modeling and assimilation centers and produce global, Atlantic.
Initial Trends in Cloud Amount from the AVHRR Pathfinder Atmospheres Extended (PATMOS-x) Data Set Andrew K Heidinger, Michael J Pavolonis**, Aleksandar.
Analyzed Data Products Available from NCAR that Support Marine Climate Research JCOMM ETMC-III 9-12 February 2010 Steven Worley Doug Schuster.
DMI-OI analysis in the Arctic DMI-OI processing scheme or Arctic Arctic bias correction method Arctic L4 Reanalysis Biases (AATSR – Pathfinder) Validation.
1 Motivation Motivation SST analysis products at NCDC SST analysis products at NCDC  Extended Reconstruction SST (ERSST) v.3b  Daily Optimum Interpolation.
Sea surface temperature gradient comparisons from MODIS and AVHRR sensors Ed Armstrong 1, Grant Wagner, Jorge Vazquez, Mike Chin, Gregg Foti, Ben Holt,
AMSR-E SSTs in the Multi-sensor Improved SST (MISST) for GODAE : A US contribution to GHRSST-PP Research, Data, and Impacts.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 The Influences of Changes.
ESA Climate Change Initiative Phase-II Sea Surface Temperature (SST) Phase I results and Phase II plans for climate research Nick Rayner.
Ocean Surface heat fluxes Lisan Yu and Robert Weller
Ocean Surface heat fluxes
Eileen Maturi 1, Jo Murray 2, Andy Harris 3, Paul Fieguth 4, John Sapper 1 1 NOAA/NESDIS, U.S.A., 2 Rutherford Appleton Laboratory, U.K., 3 University.
A high-resolution Aquarius OI SSS L4 analysis: 3-year, near-global, weekly, 0.5 degree grid Oleg Melnichenko, Peter Hacker, Nikolai Maximenko, and James.
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,
NCEP Data Reanalysis 陳漢卿. Data analyses Use the data available for the original operational NCEP analyses. (available from 1962) Add other datasets to.
NOAA OCO 7 th Annual Observing System Review Silver Spring, MD 27 – 29 October NOAA’s National Climatic Data Center H.-M. Zhang R.W. Reynolds R.
Impact of Blended MW-IR SST Analyses on NAVY Numerical Weather Prediction and Atmospheric Data Assimilation James Cummings, James Goerss, Nancy Baker Naval.
Infrared and Microwave Remote Sensing of Sea Surface Temperature Gary A. Wick NOAA Environmental Technology Laboratory January 14, 2004.
November 28, 2006 Derivation and Evaluation of Multi- Sensor SST Error Characteristics Gary Wick 1 and Sandra Castro 2 1 NOAA Earth System Research Laboratory.
NOAA Climate Observation Annual Review Silver, Spring, MD Sept. 3-5, Intercomparisons Among Global Daily SST Analyses NOAA’s National Climatic Data.
“The extended reconstructed sea surface temperature (ERSST) was constructed using the most recently available International Comprehensive Ocean-Atmosphere.
CLIMAR-III, Gdynia, Poland, May 2008 Advances in the AVHRR Pathfinder Sea Surface Temperature Climate Data Record and its Connections with GHRSST Reanalysis.
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.
1 Two- Stage High Resolution Daily SST Analysis Richard W. Reynolds (NOAA’s CICS) Dudley B. Chelton (Oregon State University) Thomas M. Smith (NOAA, STAR)
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.
CGMS-43-NOAA-WP-24 Coordination Group for Meteorological Satellites - CGMS NOAA Report on Ocean Parameters – Coral Reef Watch Presented to CGMS-43 Working.
Use of high resolution global SST data in operational analysis and assimilation systems at the UK Met Office. Matt Martin, John Stark,
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.
Characterizing and comparison of uncertainty in the AVHRR Pathfinder Versions 5 & 6 SST field to various reference fields Robert Evans Guilllermo Podesta’
Validation in Arctic conditions Steinar Eastwood (met.no) David Poulter (NOCS) GHRSST9, Perros-Guirec OSI SAF METOP SST, days mean.
SST and SIC in HIRLAM and HARMONIE Mariken Homleid ALADIN/HIRLAM Workshop/ASM, 14 May 2009.
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.
GHRSST-9 Perros-Guirec, France 9-13 June Intercomparisons Among Global Daily SST Analyses NOAA’s National Climatic Data Center Asheville, NC, USA.
1 Objective Determination of Feature Resolution in an SST Analysis Dudley B. Chelton (Oregon State University) Richard W. Reynolds (NOAA, CICS) Dimitris.
Pathfinder –> MODIS -> VIIRS Evolution of a CDR Robert Evans, Peter Minnett, Guillermo Podesta Kay Kilpatrick (retired), Sue Walsh, Vicki Halliwell, Liz.
Office of Marine Prediction, Japan Meteorological Agency
Intraseasonal latent heat flux based on satellite observations
‘Aquarius’ Maps Ocean Salinity Fine-scale Structure
NOAA Objective Sea Surface Salinity Analysis P. Xie, Y. Xue, and A
Presentation transcript:

1 Sea Surface Temperature Analyses NOAA’s National Climatic Data Center Asheville, NC Richard W. Reynolds

2 Decadal Global In Situ SST Coverage Maximum: 120 months per decade

3 Extended Reconstruction SST (ERSST) Uses ship and buoy SST data Monthly 2 o gridded fields from 1854 to present Purpose: to monitor climate change

4 Climate SST Contour Intervals: 0, 5,10, 15, 20, 25,28

5 Top: AVHRR Pathfinder Bottom: AMSR-E For AVHRR: Absolute latitudes > 40° have roughly only 5 days of data Number of days increases toward the tropics Drop offs due to cloud cover For AMSR: Absolute latitudes > 40° have more than 20 days of data Drop offs due to precipitation in ITCZ and SPCZ Jan '03: Number of Days with Nighttime Obs 5

6 Magnitude of Gradient: Gulf Stream Daily OI using AMSR-E for January - March 2003 Gradients have a stationary part due to topography –Thus, limited AVHRR data are useful

7 27 August: Katrina –Weak anomaly in Gulf in Path + AMSR-E 28 August: Katrina –Strong anomaly in Path + AMSR-E 29 August: Katrina –Strong anomaly in Path + AMSR-E –Modest anomaly in Path Daily OI SST Anomalies EOT satellite bias correction 7 Left:Pathfinder AVHRR OI Right: Pathfinder AVHRR + AMSR-E OI AVHRR-only OIAMSR+AVHRR OI

8 Daily OI: Products All products on 0.25° spatial grid AVHRR only –AVHRR Daily OI: September 1981 to present AMSR + AVHRR –AMSR + AVHRR Daily OI: June 2002 to present Both products use satellite & in situ data

9 The End