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Institute for the Protection and Security of the Citizen

…. Institute for the Protection and Security of the Citizen. The grid reference system used for CGMS (MARS-STAT Action) G.Genovese 1st European Workshop on Reference Grids Ispra; 27-29 October, 2003. Rationale of the project.

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Institute for the Protection and Security of the Citizen

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  1. … Institute for the Protection and Security of the Citizen The grid reference system used for CGMS (MARS-STAT Action) G.Genovese 1st European Workshop on Reference Grids Ispra; 27-29 October, 2003

  2. Rationale of the project • The MARS (Monitoring Agriculture with Remote Sensing) project started in 1989 an Agro-meteorological system at European Level based on • Collection of Meteorological data • Collection of Remote Sensing Data • Transformations and Modelling into crop parameters

  3. Objective and Users • Objective • Provide harmonised European views on the cropping season • Provide quantitative crop yield forecasts • Study influence of weather on crop growth • Monitoring crop condition • Input for the quantitative yield prediction • All procedures and data storage are part of the Crop Growth Monitoring System (CGMS)

  4. Users DG-Agri (Outlook group); EUROSTAT; DG-Enlarg FAO; National Competent Authorities Other (Trade Organisations, Universities..)

  5. Spatial interpolation (weather monitoring) Motivation: spatial schematisation (soil, climate, land use); secures continuous/complete time series Interpolate daily meteorological station data towards centres of a regular climatic grid(50 by 50 kilometres, Lambert-Azimuthal projection, 5625 cells) Simple approach, easy to automate while accuracy is sufficient

  6. DB GRID: description DB GRID • Daily data at grid level • 5625 cells (50 x 50 km) • 1906 on the EU-15 countries (34%) • Data stored: • Data since 1 January 1975 • Reference period (long term): 1975 – 2002 • 10 agrometeorological parameters

  7. around 4000 stations • quality checked • 1933 - current day • best spatial and temporal coverage in western Europe

  8. Spatial interpolation (weather monitoring) Three steps to interpolate to grid cell: temporal coverage of stations selection of stations based on distance, similarity in altitude and distance to the coast, climatic barriers, simple average over one up to four stations, corrected for altitude difference in case of temperature and vapour pressure; rainfall only most similar station

  9. DB GRID: • MAXIMUM_TEMPERATURE • MINIMUM_TEMPERATURE • VAPOUR_PRESSURE • WINDSPEED • RAINFALL • E0 (evaporation from a water surface – Penman method) • ES0 (evaporation from a wet bare soil- Penman method) • ET0 (evapotranspiration - Penman method) • CALCULATED_RADIATION(Ångström, Supit, Hargreaves) • SNOW_DEPTH

  10. Spatial schematisation (crop monitoring) • homogeneous simulation units in regard to weather and soil • NUTS (administrative) regions for aggregation

  11. Meteo monitoring DECEMBER 2002 JANUARY 2003 FEBRUARY 2003 MARCH 2003 APRIL 2003 Frost kill risk

  12. Agrometeo monitoring

  13. Map of meteo events Vs agricultural activities

  14. Maps of meteo extreme events

  15. http://www.marsop.info

  16. Esternal users • LIST OF PROJETS linked TO CGMS • B-CGMS (http://b-cgms.cragx.fgov.be/) • Eurostat (http://www.aris.sai.jrc.it/cgi-bin/eurostat.pl) • Spanish – CGMS (Universidad Politécnica de Madrid - UPM) • Modeling Surface Radiation (Physical and Chemical Exposure Unit -(IHCP) • Registration procedure of pesticide in Italy (International Center for Pesticides and Health Risk Prevention) • Designing Sustainable plant-protein production systems (Crop and Weed Ecology Group - Department of Plant Sciences - Wageningen University) • Evaluation of growth and productivity model integrated with remote sensing techniques (Università degli Studi di Milano-Department of Crop Science) • Crop yield forecasting in Kazakhstan using CGMS and WOFOST (ALTERRA) • Monitoring weather and crop in Mongolia using CGMS and WOFOST (ALTERRA) • DEMETER • ENSAMBLES (ECMWF) • TERRACE project (Cranfield University at Sisloe,Bedfordshire – UK) • Temperature Correction of Energy Consumption (EI – LMU, DG-EUROSTAT unit Energy Statistics) • Forest Fire Information System (http://natural-hazards.jrc.it/fires/) • European Phenology Networks

  17. GRID projection and DATUM • projection LAMBERT_AZIMUTHunits METERSspheroid SPHEREparameters6378388 • Centre of projection EU12 9 0 0.0  48 0 0.00  0

  18. Achievements • 35 countries covered • 11 crops monitored • 28 years of meteo and agrometeo data • 21 years of low resolution satellite information • 20 crop’s indicators

  19. Interpolation procedure: scoring procedure Score = dist + Δalt*Walt + ΔdCstcorr + ClbInc expressed in km where: dist : distance between the weather station and the grid centre. [km] Δalt : absolute difference in altitude. [m] Walt : weighting factor for Δalt (= 0.5). dCstcorr : absolute difference in corrected distance to coast [km] ClbInc : climate barrier increment. (1000 km or 0)

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