1. 19 October, BrestSatellite Observing Systems Using EO information to support S&R* - the CAMMEO Project Ellis Ash Satellite Observing Systems

2. 19 October, BrestSatellite Observing Systems * In EO circles SAR is Synthetic Aperture Radar!

3. 19 October, BrestSatellite Observing Systems Contents Introduction to CAMMEO Ship drift modeling Early results Future developments

4. 19 October, BrestSatellite Observing Systems 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)

5. 19 October, BrestSatellite Observing Systems EO data as a reality check

6. 19 October, BrestSatellite Observing Systems 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

7. 19 October, BrestSatellite Observing Systems 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

8. 19 October, BrestSatellite Observing Systems More motivation PRESTIGE (Spain, 2003) Source: http://www.itopf.com/stats.html AMOCO CADIZ (France, 1978) Source: http://www.itopf.com/stats.html

9. 19 October, BrestSatellite Observing Systems 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

10. 19 October, BrestSatellite Observing Systems Scatterometer winds (QuikSCAT)

11. 19 October, BrestSatellite Observing Systems Model and EO winds comparison ModelScatterometer

12. 19 October, BrestSatellite Observing Systems Benefits of EO data If scat data measured at 0000 becomes available at 0230 it supercedes 00 analysis and remains latest information until ~1200

13. 19 October, BrestSatellite Observing Systems Results of test run 5m/s (NM) 3m/s (EO) 26m/s (NM) 23m/s (EO) 18m/s (NM) 15m/s (EO) 50km 6hr run for different winds at 61.1N 2.0E Direction: 330° (NM) 340° (EO)

14. 19 October, BrestSatellite Observing Systems 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