using eo information to support s&r* - the cammeo project · 2005. 4. 5. · 19 october, brest...
TRANSCRIPT
Satellite Observing Systems19 October, Brest
Using EO information to supportS&R* - the CAMMEO Project
Ellis AshSatellite Observing Systems
Satellite Observing Systems19 October, Brest
* In EO circles SAR isSynthetic Aperture Radar!
Satellite Observing Systems19 October, Brest
Contents
Introduction to CAMMEOShip drift modelingEarly resultsFuture 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 usingmet.no S&R model and comparing inputwinds (model and EO)Now going to build on DNV / met.no ship driftmodeling
Ships sometimes lose control for different reasons• E.g. structural failure, mechanical failure, fire
Accidents can result in grounding with serious oilpollutionAlso a risk of collision with offshore structuresEven if present position known it is important topredict trajectory
Satellite Observing Systems19 October, Brest
Motivation
One example is Braer,drifting as a result ofengine failure andgrounding on Shetland(1993)85000 tonnes of oil spiltAccurate drift predictionleads 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 applicationin the N SeaRequired inputs:
Current speed and directionWind speed and directionSignificant wave heightMean wave direction
Model output used, but EO data available in nearreal-time for last 3Best 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 becomesavailable at 0230 it supercedes 00 analysisand 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 -184000East (m)
Nor
th (m
)
6800000
6805000
6810000
6815000
6820000
6825000
6830000
6835000
6840000
6845000
6850000
-200000 -198000 -196000 -194000 -192000 -190000 -188000 -186000 -184000East (m)
Nor
th (m
)
6800000
6805000
6810000
6815000
6820000
6825000
6830000
6835000
6840000
6845000
6850000
-200000 -198000 -196000 -194000 -192000 -190000 -188000 -186000 -184000East (m)
Nor
th (m
)
5m/s (NM)3m/s (EO)
26m/s (NM)23m/s (EO)
18m/s (NM)15m/s (EO)
50km
6hr run fordifferent windsat 61.1N 2.0E
Direction: 330° (NM) 340° (EO)
Satellite Observing Systems19 October, Brest
Future developmentsEstablish operational service
Cooperation between DNV and MFC for modellingand forecast provision, extension to existing MFCserviceWind scatterometer data provided by SOSVisualisation in Metoc web mapping server
Service trials with strategic customersPhase 2 of CAMMEO (2005)Norwegian S&R coordination centreOthers?