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Using EO information to support S&R* - the CAMMEO Project

Using EO information to support S&R* - the CAMMEO Project. Ellis Ash Satellite Observing Systems. * In EO circles SAR is Synthetic Aperture Radar!. Contents. Introduction to CAMMEO Ship drift modeling Early results Future developments. The CAMMEO project.

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Using EO information to support S&R* - the CAMMEO Project

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  1. Using EO information to support S&R* - the CAMMEO Project Ellis Ash Satellite Observing Systems Satellite Observing Systems

  2. * In EO circles SAR is Synthetic Aperture Radar! Satellite Observing Systems

  3. Contents • Introduction to CAMMEO • Ship drift modeling • Early results • Future developments Satellite Observing Systems

  4. The CAMMEO project • Funded by ESA - long term market development • Developing services on 4 themes: • Shipping operations (met.no (MFC), SOS) • Search and rescue (DNV, MFC, SOS) • Specialist marine operations (IFREMER, ARGOSS, SOS) • Design and certification (DNV, ARGOSS) Satellite Observing Systems

  5. EO data as a reality check Satellite Observing Systems

  6. The search and rescue service • Original plan was to work with AMVER using met.no S&R model and comparing input winds (model and EO) • Now going to build on DNV / met.no ship drift modeling • Ships sometimes lose control for different reasons • E.g. structural failure, mechanical failure, fire • Accidents can result in grounding with serious oil pollution • Also a risk of collision with offshore structures • Even if present position known it is important to predict trajectory Satellite Observing Systems

  7. Motivation • One example is Braer, drifting as a result of engine failure and grounding on Shetland (1993) • 85000 tonnes of oil spilt • Accurate drift prediction leads to better response BRAER (United Kingdom, 1993) Source: http://www.itopf.com/stats.html Satellite Observing Systems

  8. More motivation AMOCO CADIZ (France, 1978) Source: http://www.itopf.com/stats.html PRESTIGE (Spain, 2003) Source: http://www.itopf.com/stats.html Satellite Observing Systems

  9. Ship drift model • Developed by met.no (MFC) and DNV for application in the N Sea • Required inputs: • Current speed and direction • Wind speed and direction • Significant wave height • Mean wave direction • Model output used, but EO data available in near real-time for last 3 • Best information is scatterometer winds Satellite Observing Systems

  10. Scatterometer winds (QuikSCAT) Satellite Observing Systems

  11. Model and EO winds comparison Model Scatterometer Satellite Observing Systems

  12. Benefits of EO data If scat data measured at 0000 becomes available at 0230 it supercedes 00 analysis and remains latest information until ~1200 Satellite Observing Systems

  13. 6hr run for different winds at 61.1N 2.0E Results of test run 50km 5m/s (NM) 3m/s (EO) Direction: 330° (NM) 340° (EO) 18m/s (NM) 15m/s (EO) 26m/s (NM) 23m/s (EO) Satellite Observing Systems

  14. Future developments • Establish operational service • Cooperation between DNV and MFC for modelling and forecast provision, extension to existing MFC service • Wind scatterometer data provided by SOS • Visualisation in Metoc web mapping server • Service trials with strategic customers • Phase 2 of CAMMEO (2005) • Norwegian S&R coordination centre • Others? E.Ash@satobsys.co.uk Satellite Observing Systems

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