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This document outlines the current status of GHRSST data stewardship at NOAA NODC and the requirements for the GHRSST Reanalysis system. It discusses the connections to GlobCOLOUR and the upcoming goals of the reanalysis project.
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GHRSST ReanalysisCurrent StatusReanalysis Requirements Connections to GlobCOLOURKenneth S. CaseyNOAA National Oceanographic Data Center, USA4-6 Dec 2006Villefranche-sur-mer
EUMETSAT Regional/Global Task Sharing NOAA NODC
Stewardship and Reanalysis US NOAA National Oceanographic Data Center
Stewardship and Reanalysis http://ghrsst.nodc.noaa.gov
Current Status • Stewardship capability established at US NODC • Automatic daily acquisition and archive from GDAC • 30-day delay from observation to archive • All available online FTP, HTTP, and OPeNDAP • All data searchable via NODC Ocean Archive System - http://www.nodc.noaa.gov/cgi-bin/search/prod/accessionsView.pl/pref • Extensive metadata • Current Archive Holdings • 1.7 TB (~32 TB uncompressed) spanning 2005 and 2006 • > 8300 accessions (RDAC/Sensor/Level/Date), ~120k files • AMSR-E, AVHRR-16, AVHRR-17, AVHRR-18 (GAC and LAC/HRPT) , MODIS Aqua and Terra, SEVIRI, AATSR, TMI • Coming Soon: GOES, Gridded AMSR-E and TMI
Current Status • Data rates graphic…
Current Status • Data rates graphic…
Current Status • Data rates graphic…
GHRSST-PP Near Real-Time Data GHRSST Reanalysis System Map Delayed Mode Data International Reanalysis Community LTSRF at NODC Reanalysis SST CDRs (L4) GDAC
Goals of GHRSST Reanalysis • Create delayed mode climate data records with higher accuracy and consistency • Link to longer term climate data • Enable a sustained reprocessing capability • Adhere to the GCOS Climate Monitoring Principles
Delayed-Mode Improvements Reanalysis can improve over near real time analysis by making use of: • Late-arriving data • Improved matchups, errors statistics, analysis procedures, diurnal models • Techniques which require data from “future” observations • Procedures too demanding for near real time production • Consistent procedures for entire time series • Reprocessed L2P data…
GHRSST Reanalysis Requirements GHRSST Reanalysis depends on: • Reprocessed ATSR-1, ATSR-2, AATSR series - we need the consistency, accuracy, continuity… • Continued AATSR L2P production after end of Medspiration in June 2007 • Ocean color data within the SST data sets for diurnal warming and flagging aerosols - INTEGRATED DATA SETS! • Expanded HR-DDS to include L4 SSTs, model SSTs, ocean color • An expanded Matchup Data Base for GHRSST
SSTfnd Reanalysis Product Specifications • Spatial: Global, 5-10 km • Temporal: Once per day • Type of SST: SSTfoundation • Error Stats: Bias and Standard Deviation • Format: GHRSST L4 netCDF, CF metadata (Modified from A. Stuart-Menteth)
Ensemble Approach Schematic GEO Task DA-06-03
Example L4 Analyses New OI Using Pathfinder AVHRR • New Reynolds Daily OI - Daily 25 km New OI Using Pathfinder AVHRR + AMSR-E Dick Reynolds NOAA NCDC
Example L4 Analyses • Met Office OSTIA John Stark and Craig Donlon Met Office, UK
Example L4 Analyses • Australian Bureau of Meteorology BoM Operational Regional SST1m BoM Test Regional SSTfnd Met Office Global OSTIA SSTfnd CMAR 3 Day AVHRR SST1m Helen Beggs, Australian BoM
If you have an L4 SST analysis… • Get it into GHRSST - use L4, write good metadata, send it to GDAC • Get it into GHRSST - use L4, write good metadata, send it to GDAC • Get it into GHRSST - use L4, write good metadata, send it to GDAC In summary: • Get it into GHRSST - use L4, write good metadata, send it to GDAC
Ongoing and Future Activities • Continual improvements to data access • Now that archive and stewardship functions are in place, focus on reanalysis efforts (the RF in LTSRF) • Clearly identifying (and encouraging) L2P reprocessing efforts • GCOS SST and SI Intercomparisons: collecting data, unified access • 1st GHRSST Reanalysis and ensembles
Possible GlobCOLOUR Connections • Integrated SST - Ocean Color data sets? • GHRSST already delivering both MODIS Aqua and MODIS Terra chl-a and K490 fields • Users often want/need both SST and OC • Lessons for Data Management? • RDACs to GDAC to LTSRF • International and intranational • Uniform file formats and contents • Critically important • Strong metadata • Maximally not minimally compliant • Shared reanalysis systems? • Many common processing steps • Leverage existing resources • Shared intercomparison resources
Thank-you! • Ian Robinson and ESA • Ed Armstrong and the GDAC team • NODC and the LTSRF Team: John Relph, Sheri Phillips, Eric Ogata, Joe Shirley Kenneth.Casey@noaa.gov http://ghrsst.nodc.noaa.gov