Land Surface Analysis SAF (LSA SAF)
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1 Ref. Ares(2014) /01/2014 Land Surface Analysis SAF (LSA SAF) Pedro Viterbo, Lisboa, Portugal Acknowledgments: Isabel Trigo & the LSA SAF consortium December 2011 Lisbon
2 Layout Overview of the LSA SAF: now and the future Examples & applications Future sensors & evolution of user needs Concluding remarks
3 Layout Overview of the LSA SAF: now and the future Examples & applications Future sensors & evolution of user needs Concluding remarks
4 LSA SAF in a nutshell EUMETSAT Satellite Applications Facility on Land Surface Analysis: Dedicated to algorithm development, validation and operational production of land surface related products (primarily) based on European meteorological satellites (MSG and METOP) Real time operations (i.e., some products are available every 15 min, ~1 hour after observed) Effective use of MSG and EPS data related to: LAND LAND-ATMOSPHERE Interactions BIOSPHERIC Applications Timely provide: Products User support Reviewed (~annually) by technical and scientific review panels
5 The Land SAF Consortium A consortium of 7 Institutions in 6 countries (IM), Portugal Meteo-France (MF), France Royal Meteorological Institute (RMI), Belgium Finnish Meteorological Institute (FMI), Finland Karlsruhe Institute of Technology IDL, University of Lisbon UV, University of Valencia Organisation principles Algorithms developed and validated by one of the patners Algorithms handed over to IM for integration and production Operational chain in Lisbon
6 Land SAF Chronogram Meteosat-8 (MSG-1) MetOp-A Meteosat-9 (MSG-2) MetOp-B Meteosat-10 (MSG-3) MetOp-C Meteosat-11 (MSG-4) MTG-1 MTG-S Development Phase: Sep 1999 Initial Operations Phase: Feb 2005 Continuous Development & Operations Phase: Mar 2007 Continuous Development & Operations Phase 2: Mar 2012
7 CDOP-2 LSA SAF current consortium (IM), Portugal Meteo-France (MF), France Royal Meteorological Institute (RMI), Belgium Finnish Meteorological Institute (FMI), Finland IMK, University of Karlsruhe IDL, University of Lisbon UV, University of Valencia CDOP-2 new members: KCL (UK) VITO (Belgium)
8 Family of products: CDOP-2 Surface Radiation LST LongWave Flux ShortWave Flux Albedo Vegetation State Fraction Veg Cover LAI fapar NDVI Water stres Evapotranspiration Reference Evap Increased level of maturity Wild fires Fire Detection Fire Radiative Power Fire Risk (Europe) MSG Metop
9 Product characteristics All products have a quality flag (a-priori error bar for LST) field associated All products have a Product User Manual and a comprehensive Validation Report (regularly updated) 4 production areas for MSG --Europe - N. Africa - S. Africa - S. America SEVIRI resolution Variable time resolution --15 min to 10 days EPS products generation for a subset of variables
10 Additional information & service components Users (> 500 registered users) Numerical Weather Prediction Update parameters, Assimilation & Forecast Verification (ECMWF, UKMO, MF, AEMET, IM, ) GMES Atmosphere (MACC & MACC II) Agriculture & Forestry (JRC) World Food Programme Research (e.g. AMMA, U. Leicester) Environmental Monitoring Hydrology (...) Help desk Regular workshops (biennally since 2002; Toulouse) for user feedback and evolution of user requirements
11 Cooperation and training activities Cooperation with other SAFs Shared validation of fluxes with CM and OSI SAF Use of other SAF s parameters to improve LSA SAF products (e.g., H-SAF soil moisture to improve LSA SAF ET) Cooperation with EUMETSAT Central Facility Production of Fire Radative Power, developped at EUMETSAT HQ Demonstrated flexibility of overall software architecture Geoland-2 (FP7 project, ): LSA SAF partners are consortium members Work closely with key users JRC (agrometereological applications, VEGA intercomparison) ECMWF for Fire Radiative Power Training One training event in Mozambique Modules developed for EUMETRAIN Regular participation in remote sensing courses in Brazil...
12 Layout Overview of the LSA SAF: now and the future Examples & applications Future sensors & evolution of user needs Concluding remarks
13 Surface Radiation Budget: Longwave Surface Temperature Every 15 min Downwelling LW Flux Every 30 min Emissivity 15 Jul 2006 (12 UTC) 16 Jul 2006 (12 UTC)
14 Daily evapotranspiration (mm) September 2009 November 2009 December 2009
15 Thanks to J. Garcia-Haro, U. Valencia IM Fraction of vegetation cover (Sep 05- Sep 07) EUMETSAT User
16 LAI IM A common misconception: Higher resolution is better Leaf Area Index: Central Africa MSG product more robust against double-season false alarms Temporal oversampling benefits the accuracy of retrieved seasonal parameters Both products based on cloud-free images only MSG samples 50 times/day; MODIS samples 2 times/day Improved time sampling of MSG compensates for lower resolution Thanks to J. Garcia-Haro, U. Valencia
17 Algorithm: Detects pixels containing active fires Reports their time/location and Fire Radiative Power (in MW) FRP FRP-Quality: VALUE reports MEANING the processing status of each pixel NOT POT FIRE 1 FRP OK 2 FRP SAT 3 CLOUDY 4 SUN GLINT 5 SUN GLINT RATIO 6 NO BCK 7 BAD BCK 8 CLOUD EDGE 254 NOT PROCESSED Fire Radiative Power Combustion rate Smoke release 15-min Input: VIS, MIR + TIR data Cloud mask (SAF NWC) Landcover map CO 2 eq emissions
18 Modelled AOD of Greek Fire Plumes, August 2007 MODIS 26 August 10:00 Emissions calculated from Fire Radiative Power observed by SEVIRI on Meteosat. Emission factors from Andreae & Merlet 2001 and Ichoku & Kaufman Run at 25km global resolution, typical for regional models. J. Kayser, ECMWF :05
19 Layout Overview of the LSA SAF: now and the future Examples & applications Future sensors & evolution of user needs Concluding remarks
20 LSA SAF outline for CDOP-2 Product & Service Continuation Maintenance, quality monitoring & validation of MSG & EPS inherited products Upgrade of existing algorithms for MTG data New Algorithms / Products aim to: Overcome known deficiencies of current products Address requests from user community User support Toolbox to allow more friendly handling of data (NRT / off-line): Selection of time window for processing Definition of Regions of Interest and Projections Data / image format Training Series of LSA SAF workshops Training courses, in cooperation with other programmes (EUMETRAIN, EUMETSAT) Applications of LSA SAF products
21 LSA SAF products and MTG LSA SAF will use radiances from the (Full Disk) Imagery Mission, (SEVIRI follow-up) Better spatial resolution will benefit all LSA SAF products Enhanced spectral characteristics vs. SEVIRI FD-VIS 0.4 Better aerosol, improvement of AL, SW flux, but also LW flux and LST FD-IR 3.8/8.5 Extended dynamical range for fire applications FD-IR 1.3 et al Improved cloud mask and cloud type specification Impact on products All products, given better clouds Fire products AL, radiative fluxes and LST, cascading into other products (VEGA, ET) More competitive VEGA products with enhanced spatial resolution
22 CDOP-2 new products: A sample Family LST & Emiss. Albedo Surface radiation fluxes Turbulent heat fluxes Vegetation parameters & properties Wild Fire Products Product Isotropic LST, All weather LST, Reprocessed LST Soil / vegetation / snow free Albedo, Reprocessed Albedo Total and diffuse DSSF, Net LW radiation Reference evapotranspiration, Sensible heat flux, and Latent heat flux Vegetation index, Net Primary Production, Gross Primary Production, Canopy water content FRP pixel bias correction, Burnt area/vegetation recovery, Daily Fire Radiative Energy / Carbon Emissions, Reprocessed Fire Radiative Power
23 Summary, conclusions and perspectives Algorithm development, validation and operational production of land surface related products from remote sensing data, with a particular emphasis on EUMETSAT satellites: LAND LAND-ATMOSPHERE Interactions Land Biosphere Applications Outlook Strenghten our links with users, emphasis on collaborative efforts with key users, including targeted training efforts CDOP-2 and plans for the upcoming MTG products Product dissemination Daily from our web site ( EUMETCAST Further information Trigo et al. 2011, Int. J. Rem. Sens., 32, Other papers in the web site
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