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EUMETSATs Network of Satellite Application Facilities Lothar Schüller

EUMETSATs Network of Satellite Application Facilities Lothar Schüller. Outline. EUMETSAT SAF Programmatic framework SAF concept and establishment SAF structure and processes SAF product characteristics Current SAF Network Committed SAF snow products SAF interaction with users

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EUMETSATs Network of Satellite Application Facilities Lothar Schüller

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  1. EUMETSATs Network of Satellite Application FacilitiesLothar Schüller

  2. Outline • EUMETSAT • SAF Programmatic framework • SAF concept and establishment • SAF structure and processes • SAF product characteristics • Current SAF Network • Committed SAF snow products • SAF interaction with users • SAF phasing • Research and/to Operations

  3. Current EUMETSAT satellites METOP A-B (LOW-EARTH, SUN – SYNCHRONOUS ORBIT) EUMETSAT POLAR SYSTEM/INITIAL JOINT POLAR SYSTEM JASON-2 (LOW-EARTH, 63° INCL. NON SYNCHRONOUS ORBIT) OCEAN SURFACE TOPOGRAPHY MISSION • METEOSAT – 7 (1st GENERATION) • (GEOSTATIONARY ORBIT) • INDIAN OCEAN DATA COVERAGE MISSION AT 57°5 E METEOSAT 8-9-10 (2nd GENERATION) (GEOSTATIONARY ORBIT) TWO-SATELLITE SYSTEM: - METEOSAT-9: FULL DISK IMAGERY MISSION AT 0° (15 MN) - METEOSAT-8: RAPID SCAN SERVICE OVER EUROPE AT 9.5°E (5 MN)

  4. EUMETSAT ground segment overview EUMETSAT Polar System Metop satellites EUMETSAT geostationary systems Meteosat satellites Jason-2 Optional programme for ocean altimetry NOAA satellites Data acquisitionand control Flight Operations Other satellites Third-party data sources Pre-processingEUMETSAT HQ Data CentreEUMETSAT HQ Darmstadt Meteorological product extractionEUMETSAT HQ Darmstadt Satellite Application Facilitieswithin the Member States Centralised processingand generation of products Decentralised processingand generation of products Data disseminationvia EUMETCast ApplicationsGroundSegment Users

  5. Satellite Application Facilities SAFs What is a SAF? • SAF = Satellite Application Facility • part of the EUMETSAT application ground segment • complement production of standard meteorological products at EUMETSAT central facility • providing products and services to users • specialised on topics and themes • located at Weather Services in EUMETSAT Member and Co-operating States • developed and operated by consortium of partners

  6. SAF Partner Institute Partner Institute Partner Institute Leading Entity Partner Institute Partner Institute What is a SAF? • SAF is developed and operated in a consortium • lead by a Leading Entity (a National Meteorological Service) • involving partners in EUMETSAT Member and Co-operating states • National Meteorological Services • Other operational organisations • Universities and Research Institutes

  7. For each pixel do derive data done end User How do SAFs work? Providing data products Some SAFs provide data products User site SAF

  8. User How do SAFs work? Providing Software products Some SAFs provide software products User site SAF For each pixel do derive data done end For each pixel do derive data done end

  9. The objective of SAFs is to provide operational products. “Operational” means: Continuity of product provision Continuity of product improvements Continuous quality monitoring Committed user services Validation and review before official release Complete Documentation of Products, Algorithms, Validation Results ... Nature of SAF products

  10. 6 7 4 3 2 1 5 8 EUMETSAT’s 8 Satellite Application Facilities Support to Nowcasting and Very Short Range Forecasting Ocean and Sea Ice Climate Monitoring Numerical Weather Prediction Land Surface Analysis Ozone and Atmospheric Chemistry Monitoring Radio Occultation Meteorology Support to Operational Hydrology and Water Management SAF Consortium Member

  11. SAF on Support to Operational Hydrology and Water Management Leading Entity: Italian Meteorological Service (USAM) SAF products focuses on precipitation soil moisture snow parameters utilisation of these parameters in hydrological models and NWP Hydrology SAF

  12. Currently available snow products from H SAF • “operational”: • Snow detection (snow mask) by VIS/IR radiometry • Snow water equivalent by MW radiometry • “pre-operational”: • Effective snow cover by VIS/IR radiometry • Snow status (dry/wet) by MW radiometry

  13. Snow detection by VIS/IR radiometry • Binary map of snow / no-snow situation. • Using Meteosat/SEVIRI observation • Different methods used for flat/forested and mountainous regions • Daylight product, output result every 24h • Probability Of Detection (POD): Flat / Forested areas: 85 % Mountainous areas: 70% • False Alarm Rate (FAR): Flat / Forested areas: 15 %, Mountainous areas: 20%

  14. Snow status (dry/wet) by MW radiometry • status of the snow mantle, whether it is wet or dry and, in time series, thawing or freezing. • Multi-channel MW observations SSMIS on DMSP (middle frequencies), and the algorithm is based on thresholding. • Requirements: • Hit Rate (HR): 80 % • False Alarm Rate (FAR): 10 %

  15. Effective snow cover by VIS/IR radiometry • Multichannel (VIS, NIR, IR) analysis • AVHRR on NOAA and Metop satellites • Requirement: 65% overall accuracy • Validation against snow observing stations

  16. Snow water equivalent by MW radiometry • Maps of snow water equivalent derived from MW measurements SSMIS on DMSP sensitive to snow thickness and density. • Algorithm based on assimilating MW brightness temperatures of several channels at frequencies with different penetration in snow, into a first-guess field built by the (sparse) network of stations measuring snow depth. • Requirements: • Flat / Forested areas: 20mm • Mountainous areas: 25mm

  17. For each pixel do derive data done end User Interaction with Users: Services provided to users • Documents • ATBD • Product User Manual • Validation Report Near-Real-Time Products EUMETCast SAF Software and off-line products Internet (FTP, WEB) EUMETSAT Data Centre

  18. SAF For each pixel do derive data done end User Helpdesk Workshops Interaction with Users:Feedback provided to SAFs User Beta user programme

  19. SAF 1997 2007 2012 2017 2022 Developments and Initial Operations CDOP CDOP - 2 CDOP 3 NWC SAF OSI SAF O3M SAF NWP SAF CM SAF ROM SAF LSA SAF H - SAF SAF Network Phasing MSG EPS MTG EPS-SG

  20. SAFs embedded programmatically in the EUMETSAT mandatory programmes, currently secured until 2022. Current proposal for a EPS Second Generation Programme foresees funding for SAF development and operations until 2032. The purpose and commitment of SAFs is to: deliver operational products addressing requirements of the EUMETSAT member states develop new products implementing mature retrievals validated by Research (transition from Research to Operations) Next SAF development and operations phase (CDOP-3 for 2017-2022): proposals expected end of 2015. Synergy: Research -> Operations

  21. SAF implementing mature research algorithm OwnAlgorithm Development Implementation in processing chain Operational Data products

  22. SAF implementing mature research algorithm OwnAlgorithm Development External Algorithm Development Implementation in processing chain Operational Data products Operational Data products

  23. SAF = Satellite Application Facility providing products and services to users on an operational basis with a long-term perspective specialised on topics and themes located at Weather Services in EUMETSAT Member and Co-operating States developed and operated by consortium of partners part of the EUMETSAT application ground segment complement production of standard meteorological products at EUMETSAT central facility in Darmstadt Data and software are usable free of charge Summary

  24. BACKUP SLIDES

  25. Facts: New generation of Meteorological Satellites (MSG and Metop as well as MTG and EPS-SG) have much wider areas of application specific expertise available in EUMETSAT's Member and Cooperating States Objectives: SAF concept encourage the utilisation of existing skills and infrastructure in Member- and Cooperating States for developing geophysical data products and services Facilitating cost-effective exploitation by ensuring services are distributed in the most appropriate way SAFs improve the ability of EUMETSAT Member States to exploit satellite data Fostering development of cooperation with non-Member States and other organisations Why SAFs ? Facts and Objectives

  26. “Support to Nowcasting and Very Short Range Forecasting” (NWC SAF) established to utilise the new data from Geostationary satellites (Meteosat and others) and the polar platforms (Metop, NOAA, Soumi NPP) for enhancing Nowcasting Development of Software packages for the operational extraction of products relevant to Nowcasting and for local installation Leading Entity is the Spanish Meteorological Agency AEMET in Madrid Regular updated software packages since October 2004 Nowcasting SAF Rapidly developing Thunderstorm Product

  27. Ocean and Sea Ice (OSI) SAF routinely produces and disseminates products characterising the ocean surface and the energy fluxes across the sea surface Operationally produces information on the sea ice characteristics (extend, concentration, …) Leading Entity is Météo-France in Lannion OSI SAF distributes near real-time products based on NOAA, MSG, Metop, Oceansat, DMSP and GOES data Ocean and Sea Ice SAF Sea surface temperature Sea ice concentration

  28. SAF on Ozone and Atmospheric Chemistry Monitoring (O3M SAF) developed for the processing of data on ozone, other trace gases, aerosols and ultraviolet radiation Emphasis on the Global Ozone Monitoring Experiment (GOME-2) and IASI on EPS (Metop) Leading Entity is the Finnish Meteorological Institute FMI, Helsinki First release of products in Summer 2007 Ozone SAF

  29. SAF on Climate Monitoring generates and archives high-quality data-set for specific climate application areas Currently concentrates on: cloud parameters radiation budget parameters atmospheric humidity Leading Entity is the German Weather Service DWD, Offenbach NOAA-AVHRR based data operationally produced since November 2004, MSG based data from October 2005, Metop data used since 2009. Climate Data Records: 20 years of SSM/I Water Vapour information released in 2009. NOAA-AVHRR based 20 years of homogeneous data record (clouds, surface radiation) released 2012 Upcoming Climate Data Records based on SEVIRI, ATOVS, SSM/I Climate Monitoring SAF

  30. SAF on Numerical Weather Prediction (NWP SAF) aims at increasing the benefits to Met.-Services from Numerical Weather Prediction (NWP) develops advanced techniques for the effective use of satellite data development and maintenance of RTTOV radiative transfer model, ATOVS and AVHRR Pre-processing Package (AAPP) Leading Entity is the UK MetOffice, Exeter NWP SAF

  31. SAF on Radio Occultation Meteorology GRAS: Global Positioning System (GPS) Receiver for Atmospheric Sounding flown on EPS/Metop satellites near real-time and offline: sounding data (temperature, pressure, humidity) corresponding validation products, and assimilation software The Leading Entity is the Danish Meteorological Institute DMI, Copenhagen Software packages released since 2007, first NRT product dissemination in October 2008 ROM SAF

  32. SAF on Land Surface Analysis (LSA SAF) established to increase the benefit from MSG and EPS data related to land, land-atmosphere interaction and biospheric applications Generates operationally data services related to Surface Radiation, Vegetation and wild fire Leading entity is the Portuguese Institute for Meteorology IM, Lisbon Land Surface Analysis SAF

  33. SAF on Support to Operational Hydrology and Water Management Leading Entity: Italian Meteorological Service (USAM) SAF products focuses on precipitation soil moisture snow parameters utilisation of these parameters in hydrological models and NWP Hydrology SAF

  34. Initial and new User Needs Needs for Changes and Improvements User Provided Operational Feedback Validated Products SAF Research and Development SAF Operations Initial Objectives Delivered SAF Services Beta-User Tasks SAF Development and Service Model

  35. PCR SAF Development and Service Model CDOP review logic Previous Phase Committed operations baseline Operational Readiness Reviews ORR Products Distribution Development Life Cycle of new operational chains updated baseline Operations Reporting User Support Provision Product Consolidation Reviews Requirements Reviews RR OR updated baseline New/enhanced Products Definition Products Improvement Implementation Operation Reviews User Workshops and Consultation

  36. CDOP-2: Second slice of the Continuous Development and Operations Phase • SAF Network after 2012: • funding for 5 years of CDOP-2 and 5 more years for a CDOP-3 foreseen within the MTG budget • CDOP-2 started March 2012 • Operational Continuation of existing products • Development of new products and services (list of committed SAF products soon to be available). • Preparation activities of Meteosat Third Generation (MTG) based products • Exploitation of synergies within the Application Ground Segment (SAF Network + Central Facilities) • Reprocessing and homogeneous data set generation (e.g. for climate applications) • Integration and interfacing with other initiatives: GMES, WMO SCOPE-CM, EUMETCal, GHRSST, GODAE, ESA CCI, etc.

  37. Long-term satellite data records: CM SAF: Meteosat since 1982 O3M SAF: GOME-2 since 2006 OSI SAF: Sea Ice since 1978, Sea Surface Temperature since 2002 ROM SAF: Reprocessing of all GNSS-RO missions (since 1995) LSA SAF: reprocessing of SEVIRI products (since 2002) Examples for new Developments in CDOP-2

  38. Application: PV GIS Country-scale and Europe / Africa Maps

  39. Application: SMA Solar Checker • www.sma.de • Products • Plant Planning

  40. Bringing external developments into operations: O3M SAF: IASI products developed at LATMOS LSA SAF: NDVI (vegetation index from VITO, Belgium) NWC SAF: Precipitation based on cloud microphysics (KNMI) Examples for new Developments in CDOP-2

  41. CTMP Function: Based on the one developed by Roebeling and Holleman* Cloud Top Microphysical Properties used by this algorithm: Phase (Ph) Effective radius (Reff) Cloud water path (CWP) Two steps: 1.- Delimitation of the precipitation area 2.- Assignment of rain rates (*) Roebeling, R. A. and I. Holleman, 2009: SEVIRI rainfall retrieval and validation using weather radar observations. J. Geophys. Res., VOL. 114, D21202. V2013, GEO-CRRv4.0 outlook Liquidwaterpath (LWP) Ice waterpath (IWP)

  42. PREPARATIONS FOR V2013– DAY-TIME ALGORITHMExampleoverSpain 22th August 2008 at 14:00 UTC CRR (3D Matrices) CRR (CTMP function) Radar (PPI) 42

  43. PREPARATIONS FOR V2013– DAY-TIME ALGORITHMComparison: 3D Matrices vs CTMP function Dataset: Spain: 46 days, May-September 2008, 10:00 – 14:00 UTC every 30 min RMS error decreases with CTMP function because precipitation maxima are better located and precipitation pattern is more accurate. False alarms increases 1% while probability of detection increases 24% for this dataset. 43

  44. New satellite sensors: OSI SAF: OSCAT based wind products H SAF: GPM data NWC SAF: Soumi NPP VIIRS, additional GEO imager ROM SAF: cosmic Preparation for MTG and EPS-SG Examples for new Developments in CDOP-2

  45. Development of PR-OBS-2 Precipitation rate at ground by MW cross-track scanners NN trained with Cloud Dynamics and Radiation Database CDRD NN trained with global Cloud Radiation DatabaseCRD CDOP-1 New Version Rome, Italy Flash Flood 20 Oct 2011 8:20 UTC MetOp-A AMSU/MHS CDOP-2

  46. Concept of the Hydrological Validation

  47. Test catchments of the Hydrological Program

  48. New product developments: NWC SAF: Convection Initiation, Extrapolated Imagery, precipitation approach O3M SAF: trace gases (Formaldehyde, BrO, ..) and aerosol properties from GOME-2 LSA / CM SAF: long-wave surface radiation from SEVIRI Examples for new Developments in CDOP-2

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