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Satellite Observing Systems 19 October, Brest Using EO information to support S&R* - the CAMMEO Project Ellis Ash Satellite Observing Systems
Satellite Observing Systems19 October, Brest
Using EO information to support S&R* - the CAMMEO Project
Ellis Ash
Satellite Observing Systems
Satellite Observing Systems19 October, Brest
* In EO circles SAR is Synthetic Aperture Radar!
Satellite Observing Systems19 October, Brest
Contents
Introduction to CAMMEO
Ship drift modeling
Early results
Future developments
Satellite Observing Systems19 October, Brest
The CAMMEO project
Funded by ESA - long term market developmentDeveloping 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 Systems19 October, Brest
EO data as a reality check
Satellite Observing Systems19 October, Brest
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 modelingShips sometimes lose control for different reasons
• E.g. structural failure, mechanical failure, fireAccidents can result in grounding with serious oil
pollution Also a risk of collision with offshore structuresEven if present position known it is important to
predict trajectory
Satellite Observing Systems19 October, Brest
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 Systems19 October, Brest
More motivation
PRESTIGE (Spain, 2003)
Source: http://www.itopf.com/stats.html
AMOCO CADIZ (France, 1978)
Source: http://www.itopf.com/stats.html
Satellite Observing Systems19 October, Brest
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 Systems19 October, Brest
Scatterometer winds (QuikSCAT)
Satellite Observing Systems19 October, Brest
Model and EO winds comparison
Model Scatterometer
Satellite Observing Systems19 October, Brest
Benefits of EO data
Forecast up to 60 hrs00 06 12 18 00
+2:15
+4:30
+2:15+4:30
+2:15Cutoff time for entry of new Data at start of new run
If scat data measured at 0000 becomes available at 0230 it supercedes 00 analysis and remains latest information until ~1200
Satellite Observing Systems19 October, Brest
Results of test run
6800000
6805000
6810000
6815000
6820000
6825000
6830000
6835000
6840000
6845000
6850000
-200000 -198000 -196000 -194000 -192000 -190000 -188000 -186000 -184000
East (m)
North (m)
6800000
6805000
6810000
6815000
6820000
6825000
6830000
6835000
6840000
6845000
6850000
-200000 -198000 -196000 -194000 -192000 -190000 -188000 -186000 -184000
East (m)
North (m)
6800000
6805000
6810000
6815000
6820000
6825000
6830000
6835000
6840000
6845000
6850000
-200000 -198000 -196000 -194000 -192000 -190000 -188000 -186000 -184000
East (m)
North (m)
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)
Satellite Observing Systems19 October, Brest
Future developmentsEstablish operational service
Cooperation between DNV and MFC for modelling and forecast provision, extension to existing MFC service
Wind scatterometer data provided by SOSVisualisation in Metoc web mapping server
Service trials with strategic customers Phase 2 of CAMMEO (2005)Norwegian S&R coordination centreOthers?
