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GODAE High Resolution Sea Surface Temperature Pilot Project

GODAE High Resolution Sea Surface Temperature Pilot Project. GHRSST-PP and the NOAA-NASA Collaboration for Data Management and Reanalysis. Kenneth Casey NOAA/NESDIS/NODC. GHRSST-PP Objectives. To deliver a new generation of operational SST products

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GODAE High Resolution Sea Surface Temperature Pilot Project

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  1. GODAE High ResolutionSea Surface Temperature Pilot Project GHRSST-PP and the NOAA-NASA Collaboration for Data Management and Reanalysis Kenneth CaseyNOAA/NESDIS/NODC

  2. GHRSST-PP Objectives • To deliver a new generation of operational SST products • To ensure that duplication of SST activities are minimized • To implement an operationally efficient methodology for real time fusion of SST data • To develop and foster considerable scientific and operational knowledge during the lifecycle of the GHRSST-PP

  3. International Framework

  4. International Framework RDACs RDAC and GDAC (near real time users) Long Term Stewardship and Reanalysis Facility (delayed mode users)

  5. Craig Donlon (Chair), Hadley Centre for Climate Prediction and Research, Met Office UK Bill Emery, University of Colorado, USA Chelle Gentemann, Remote Sensing Systems, USA Chris Mutlow, Rutherford Appleton Laboratory, UK Doug May, Naval Oceanographic Office, USA Gary Wick, NOAA/OAR ETL, USA Ian Barton, CSIRO Marine Research, Australia Ian Robinson, Southampton Oceanography Centre, UK Jim Cummings, Naval Research Laboratory/US-GODAE, USA Richard Reynolds, NOAA/NESDIS NCDC, USA Neville Smith, BMRC, Australia Hiroshi Kawamura NASDA/University of Tohoku, Japan Nick Rayner, Hadley Centre for Climate Prediction and Research, Met Office UK Peter Minnett, RSMAS, University of Miami, USA Bob Evans, RSMAS, University of Miami, USA Pierre LeBorgne, Meteo France O&SI SAF, France Andy Harris, NOAA/NESDIS ORA, USA Ed Armstrong, JPL PO.DAAC, USA Ken Casey, NOAA/NESDIS NODC, USA Jorge Vasquez, JPL, PO.DAAC, USA David Llewellyn-Jones, Univ. of Leicester, UK Andrew Bingham. JPL PO.DAAC, USA Jean-Francois Piolle, IFREMER, France Chris Merchant, Southampton Oceanography Centre, UK GHRSST-PP Science Team

  6. GHRSST-PP Outputs • An operational data stewardship, exchange and delivery system • Standardized, real-time L2P SST products • Real time L4 SST (gap free, gridded) • Reprocessed L4 SST for Climate Data Records • High Resolution Diagnostic Data Sets (HR-DDS) • Matchup Data Base (MDB) • Master Metadata Repository (MMR) L4 L2P

  7. Users and Applications

  8. Users and Applications Sampling from one RDACs User Requirement’s Document: • MERCATOR • MET OFFICE, UK, FORECASTING OCEAN ASSIMILATION MODEL (FOAM) • MEDITERRANEAN OCEAN FORECASTING SYSTEM (MFS) • EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTING • TOWARDS AN OPERATIONAL PREDICTION SYSTEM FOR THE NORTH ATLANTIC EUROPEAN COASTAL ZONES (TOPAZ) • BALTIC OPERATIONAL OCEANOGRAPHIC SYSTEM (BOOS) • NORWEGIAN METEOROLOGICAL INSTITUTE (MET.NO) • DANISH METEOROLOGICAL INSTITUTE • ROYAL DANISH ADMINISTRATION OF NAVIGATION AND HYDROGRAPHY • NORWEGIAN POLAR INSTITUTE • NORWEGIAN MET. INSTITUTE’S MARINE FORECASTING CENTRE • BLACK SEA GOOS • WMO AFFILIATED INTERNATIONAL PROJECTS • PROUDMAN OCEANOGRAPHIC LABORATORY

  9. GHRSST Overview Talk PO.DAAC Team Manager: Pat Liggett Deputy Manager: Robert Benada Sue Heinz: Raytheon Manager Jorge VazquezEdward ArmstrongAndrew BinghamChris FinchRosanna Sumagaysay A Collaborative Effort Between NOAA/NODC and NASA/PO.DAAC October 20th, 2004

  10. GHRSST Processing System RDACs, GDAC, Archive Data Products Data Flow Oceanids Data Volumes GHRSST Data Management MMR MDB User Services NASA/NOAA Significance Outline

  11. GHRSST Processing SystemRDACs, GDAC & Archive

  12. GHRSST Processing System Data Products

  13. GHRSST Processing System Data Products • Level 2 Preprocessed data (L2P) • Level 2 data from each sensor in a standard netcdf format that has complete error statistics associated with each sensor. • High Resolution Diagnostic Data Sets (HR-DDS) • L2P data extracted in given predefined boxes to be used for validation studies. All data from different sensors co-located on common grid.

  14. GHRSST Processing System Data Products Using AIRS Data Within the GHRSST-PP • Recommended data products for Near Real-time SST fields • L2 SST, Cloud Fraction, Internal SST Error Estimate (rms uncertainty) • Recommended data products for GHRSST-PP Diagnostic Data Studies • IR Spectral Radiance and Cloud-Cleared RadianceL2, L3 SST • Boundary layer moisture/temperature (total column and layered) • Surface emissivity • Cloud fraction and cloud-top pressure • Cloud flags (including aerosol) Source: Denise Hagan, JPL

  15. GHRSST Processing System Data Products • Example of Single Sensor Error Characterization for AIRS based on comparison with shipboard in situ MAERI data (Caribbean): Mean Bias (N=120) Map of Global Sites for GHRSST Diagnostic Data Sets RMS (N=120) Source: Denise Hagan, JPL – AIRS Valuable Reference Sensor for GHRSST Diagnostic Data Sets and SST Error Assessment

  16. GHRSST Processing System Data Products • Level 4 Merged Analyzed SST products • 10km global product (Remote Sensing Systems) • 2 km very high resolution regional products, including areas such as the Mediterranean

  17. GHRSST Processing System - OCEANIDS • Autonomous data stream ingest, management and distribution • Built-in redundancy • GUI for monitoring data flows • Provides instant anomaly messaging to DAAC operators • Manage over 50 data streams (50,000 files/month – 1 TB/month) • OCEANIDS is enabling the DAAC to work with near real time data streams and serve customers such as COOS and IOOS.

  18. RDACs Medspiration (Europe) NGSST (Japan) BlueLink (Australia) NAVOCEANO (U.S.) MISST (U.S.) PO.DAAC (U.S.) User Interface GDAC (JPL U.S.) OCEANIDS (Data Management) MMR/MDB Near Real Time Users Data Tools Delayed mode Users L4 (MISST – U.S.) Archive (NODC – U.S.) GHRSST Processing System – OCEANIDS – Data Stream Interfaces

  19. GHRSST Processing System – Data Volumes

  20. Two types of metadata records based on NASA DIF format: Data Set Record (DSD): Information common to all files (i.e., same sensor, data center etc.) Static: Generally prepared once for each data set File Record (FR): File specific information (e.g., parameter, time and space etc.) Dynamic: Prepared on a file-by-file basis by each Regional Data Assembly Center (RDAC) Both types integrated into a relational database: the Master Metadata Repository (MMR). GHRSST Data Management Master Metadata Repository

  21. GHRSST Data Management Master Metadata Repository RDAC submission meta metadata repository [Perl scripts] Pass QA Parse meta [QA check] Create/update/modify mySQL tables [SQL] GDAC submission Fail QA – return to source Metadata queries by external user

  22. GHRSST Data Management Matchup Database (MDB) • Record of in situ/satellite matchups from buoys and other in situ platforms • Source for satellite sensor error statistics • Not an explicit metadata record but captures actual data (5x5 grids of matchup information) • These databases will facilitate the data discovery of multiple satellite platforms and products for the customer

  23. GHRSST Data Management Matchup Database (MDB) Matchups from Pathfinder SST • 1996-1999 • 1985-1988

  24. GHRSST Data ManagementUser Services • GDAC Customer Relationship Management (CRM) Plan • Goals • Target Audiences • Strategies & Activities • Evaluation Mechanisms

  25. GHRSST Data ManagementUser Services • Goals • Leverage existing PO.DAAC CRM infrastructure to ensure a high level of customer satisfaction • Fully integrate RDACs, GDAC and NODC into the Customer Knowledge Base for 24/7 support • Implement and distribute metrics developed by the GHRSST Project Office into the GDAC reporting system • Develop and maintain web and information access portal unique to GHRSST-PP

  26. GHRSST Data ManagementUser Services • Target Audiences – Customer Base • GHRSST Project • RDACs • Management Stakeholders • JPL, PO.DAAC, NODC, NOAA, NASA, • L2P Data Operational Users • L4 Public Data Customers • NODC Long Term Archive

  27. Strategies and Activities GHRSST-PP Web Portal – data and information access 24/7 Knowledge Base Customer Support Customer access to all communication channels: Email, telephone, fax, web. Measures of Effectiveness-provide statistics report to stakeholders Privacy policies Operational communications Solicit customer feedback and implement process improvement GHRSST Data ManagementUser Services

  28. Provide monthly analytic reports to stakeholders on customer statistics Number of Customers accessing data via electronic transfer, subsetting tools Characterization of customers Number of customer interactions Results of closed end surveys to customers accessing data Provide monthly statistics on data access, availability and transfer: Number of successful data transfers Number of data files served (volume?) FTP statistics Number of Users, Number of Files downloaded Data volume transferred Provide data quality metrics Quantify number of customers providing feedback for validation studies against climatologies, in-situ data, etc. GHRSST Data ManagementUser Services Evaluation Mechanisms – monthly and quarterly analytic reports to Stakeholders

  29. NOAA NASA GHRSST-PP JPL ESA Reports: Data Flow, Customer Metrics • Regional Data Assembly Centers/ • Value Added Providers/LTA • Medspiration • RSS • NAVOCEANO • Bluelink • JMA • MODIS • MISST • Naval Research Monterey • NODC GDAC Customer Relationship Customer Questions Data User Communities Discovery Data Access Building KB Queries Applications Knowledge Base Customer Data Base User Support Analytics & Reports Data Access Web Portal Tools FAQ Building Documentation GHRSST Data ManagementUser Services GDAC CRM Overview

  30. NOAA-NASA SignificanceWhy is all of this important? • SST fundamental parameter for understanding climate change. New generation of SSTs used in data assimilation must come with full error characterizations. • Directly related to NASA’s Earth Science Enterprise Focus themes. Includes: • “How can predictions of climate variability and change be improved”? • “How can weather forecast duration and reliability be improved by new space-based observations, data assimilation, and modeling?” • “The NASA Earth Science Applications Theme was created to accelerate and expand the delivery of Earth system science research results to serve decision support for American citizens and the world.”

  31. NOAA-NASA SignificanceWhy is all of this important? • Will also support themes dealing with Carbon Cycle, Coastal Management, Water and Energy Cycles • Will support themes dealing with improved data management, including standardization of data formats, metadata, user support, and integration of new technologies for faster data transfer. • Also addresses all four of NOAA’s Goals: Climate, Ecosystems, Weather and Water, Commerce and Transportation • And…GHRSST is IOOS-compliant!!

  32. New Technologies • Aspera: Enables large data set transfers over any network regardless of network conditions and distance. • RightNow: Enables user and RDAC access to knowledge base system for maximizing customer communication and satisfaction

  33. Conclusion… This is a great example of NOAA and NASA working together to better meet the needs of our shared community of users!

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