1. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS SCOPE-CM Sustained, Co-Ordinated Processing of Environmental Satellite Data for Climate Monitoring by EUMETSAT Presented to CGMS-41 WGII/3

2. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Introduction to SCOPE-CM

3. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS The aim of the Sustained, Co-Ordinated Processing of Environmental Satellite Data for Climate Monitoring (SCOPE-CM) is to enable a network of facilities ensuring continuous and sustained provision of high-quality Climate Data Records (CDRs) from satellite observations. The foundation of SCOPE-CM is the network of relevant space agencies and other organizations (including GSICS) with the aim to develop, extend and preserve the capabilities and skills of generating and re-generating CDRs. Participants: Operational Satellite operators: NOAA, JMA, CMA, EUMETSAT Stakeholder: WMO Space Programme, GCOS, CEOS, GEO, CGMS/GSICS, WCRP/GEWEX, ESA (observer) Background

4. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Coordinated international network to produce CDRs from multi-agency mission data in operational environment Current Participants of the SCOPE-CM Network Operational Satellite operators: –NOAA, JMA, CMA, EUMETSAT Stakeholder: –WMO Space Programme, GCOS, CEOS, GEO, CGMS/GSICS, WCRP/GEWEX, ESA (observer) WMO’s SCOPE-CM Initiative

5. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Conceptual Framework

6. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS SCOPE-CM Current Status

7. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS The primary activities accomplished in Phase 1 of SCOPE-CM include: Establishing the initial network and structure Agreeing on principles and standards Establishing the first pilot projects on selected subjects Assessing current capabilities Establishing feedback mechanisms with users Phase 1 Establishing International Collaborations

8. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Objectives: Establish a systematic approach to increase the sustainability (maturity) of CDR generation capabilities; Establish structures for sustainable generation of Fundamental CDRs and Thematic CDRs. Mechanisms: Initiate Phase-2 projects; Generate SCOPE-CM CDR products; Increase coverage of products in terms of ECVs, time and spatial dimension; Foster extension of the network to additional partners. Benefits for space agencies (and associated institutes): Ensures their role in the field of climate data stewardship; Improves their capacity to deliver data services for Global Climate Services; Improves their capacity to serve the scientific community. Phase 2 -Sustained Production of Climate Data Records (CDRs)

9. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS SCOPE-CM – Phase 2 Projects IDTitleLeaderSCOPE-CM PartnersOther Partners SCM-01 Sustained generations of upper tropospheric humidity Climate Data Records from multiple sensors with multi-agency cooperation L. Shi NOAA, EUMETSAT (CM SAF) Kiruna Univ. NCAR, Univ. of Miami SCM-02 Multiplatform surface albedo demonstrator from polar-orbiting satellites T. Manninen EUMETSAT (CM SAF and CF) NOAA Univ. Massachusetts SCM-03Land surface albedo from geostationary satellites (LAGS)A. Lattanzio EUMETSAT (CF), NOAA, JMA - SCM-04 Utility of Satellite derived winds for Monsoon and Cyclone studies over Indian region S. Goyal [EUMETSAT] Indian Meterological Departement SCM-05Advancing the status of the AVHRR FCDR K-G Karlsson EUMETSAT (CM SAF) NOAA ESA CCI SCM-06 Inter-calibration of passive imager observations from time-series of geo stationary satellites (IOGEO) R. Roebeling EUMETSAT (CF and CM SAF), NOAA, JMA - SCM-07 Liquid Water Path and Rain Water Path Climatologies in the GPM era R. Bennartz NOAA (CIRA) EUMETSAT(CM-SAF) CIMSS, University of Wisconsin SCM-08Radio occultation based gridded climate data sets (RO-CLIM)A. von Engeln EUMETSAT (CF and ROM SAF) GFZ, NASA JPL, Moog, UCAR, Univ. of Graz SCM-09 Sustained production of the International Satellite Cloud Climatology Project (ISCCP) cloud products K. Knapp NOAA, JMA, CMA, EUMETSAT INPE, NY City College SCM-10Atmospheric Motion Vectors and Clear/All Sky Radiances from historical meteorological satellites in geostationary and polar orbit Y. Tahara JMA, EUMETSAT (CF), NOAA (NCDC, CIRA) CIMSS, JMA (reanalysis), ECMWF

10. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Elevating the maturity of CDRs

11. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS What is at stake? History shows that weather observations did not become useful for society until a lexicon was agreed to The Beaufort scale did this for wind climatology and maritime commerce in the 19th century For the Climate Service to benefit society, it must adopt a lexicon that sets expectations for openness, process and transparency that are accessible to the public How might we define a climate record lexicon useful to both scientists and the general public in the 21st century? Motivation Courtesy: John Bates (NOAA)

12. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Where can products be found? What original observations were used in the product? What methods were used to create the product? How do we ensure authenticity ? Software readiness Metadata User documentation Uncertainty Characterization Public Access, Feedback and Update Utility Are to codes compliant with standards, stable, portable and reproducible? Do the metadata meets international standards, and allows provenance tracking? Are the formal documents and peer-reviewed papers up-to-date public? Are the uncertainties assessed systematically in a standard manner? Are the data, source code, and documents publicly available? Are the data wildly used in the scientific, and decision and policy making communities? What original observations were used ? What methods were used ? Let’s define a Maturity Matrix (1=low; 6=high) that sets expectations and assesses progress System Maturity Matrix (concept EU-FP7 Core Climax based on the NOAA development)

13. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Courtesy: John Bates (NOAA) Evolution of CDR maturity

14. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Conclusions

15. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Phase 1 of SCOPE-CM has been completed successfully with Pilot Projects and implemented algorithms at different climate processing centers; Phase 2 uses the Maturity Matrix concept to organize development and sustaining CDRs into initial, moderate and high maturity to better characterize completeness of CDRs for the user community; GSICS activities are fundamental for FCDR generation, specific interaction and cooperation being planned; Phase 2 approved projects will be kicked off in 2014; Conclusions The SCOPE-CM secretariat invites space agencies, and other interested organizations, to participate in the Phase 2 approved projects and to propose new projects.

16. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Recommendations

17. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Recommendations relevant to CGMS All CGMS member agencies to review the project list and consider participation in approved Phase 2 projects, in particular in: SCM-06: Inter-calibration of passive imager from observations from time-series of geo stationary satellites (IOGEO) All CGMS member agencies to consider proposals for new SCOPE-CM projects All CGMS member agencies to become members of SCOPE-CM

18. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Thank You Any Questions?

19. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Fig: Satellites used for the ISCCP climate data record. (Courtesy of Ken Knapp, NOAA-NCDC) MET2MET3MET4 MET5 4 3 Original Instrument changes Calibration changes Scale of Challenge

20. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS SCOPE-CM - Sustained Climate Information Flow SATELLITE DATA FUNDAMENTAL CLIMATE DATA RECORDS* THEMATICAL CLIMATE DATA RECORDS** MAJOR MODEL-BASED REANALYSIS CLIMATE INFORMATION RECORDS ADAPTION & MITIGATION POLICY AND PLANNING (DECISION MAKING) OPERATIONAL MONITORING OF WEATHER AND THE ENVIRONMENT SHORT AND MEDIUM LATENCY SUSTAINED APPLICATIONS LONG-TERM INFORMATION PRESERVATION DATA CONVERSION USER SERVICE SYSTEM PERFORMANCE MONITORING AND AUTOMATED CORRECTIONS RE-CALIBRATION/ INTER-CALIBRATION/ REPROCESSING CLIMATE DATA RECORDS ARCHIVED SATELLITE DATA AND RECORDS CLIMATE SERVICES OPERATIONAL CLIMATE MONITORING LONGER TERM CLIMATE VARIABILITY & CLIMATE CHANGE ANALYSIS * Fundamental Climate Data Record (FCDR): a long-term data record of calibrated and quality- controlled sensor data designed to allow the generation of homogeneous products that are accurate and stable enough for climate monitoring ** Thematic Climate Data Record (TCDR): a long-term data record of validated and quality- controlled geophysical variables derived from FCDRs. ENVIRONMENTAL DATA RECORDS INTERIM CLIMATE DATA RECORDS

21. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Three step approach to classify the maturity of ECV CDRs: Product Specifications Table (PST) Summarize the results from the Data Record Inventories and provides links to documented information on quality, on calibration and inter- calibration; System Maturity Matrix (SMM) Evaluates if the production of the ECV CDR follows best practices for science, engineering and utilization; Application Performance Matrix (APM) Evaluates the performance of an ECV CDR with respect to a specific application. Maturity evaluation concept

22. EUMETSAT, July 2013 Coordination Group for Meteorological Satellites - CGMS Does the coverage of the record suffice ? What original observations were used in the product? What methods were used to create the product? How does the quality vary in time ? CoverageSamplingUncertaintyStability Are the record length and spatial coverage meeting the application’s requirements? Do the spatial and temporal sampling meet the applications requirements? Do the random and systematic uncertainties meet the specifications? Do the temporal and spatial stability meet the specifications? Is there sufficient level of detail ? Are the observations of adequate quality ? Let’s define an Application Performance Matrix (1=low; 6=high) that characterizes the applicability of the data record Application Performance Matrix (concept EU-FP7 Core Climax)