presentation of the tools developed (part 1)
DESCRIPTION
Presentation of the tools developed (part 1). Presentation of the tools developed (part 1). Success & failures of forecasting systems -> Emilio GARCIA LADONA , ICM-CSIC. Oil Spill (and SAR) forecasting system. Pollutant (t) = Bio-chem . Transf . + Mech . transport. TOSCA. - PowerPoint PPT PresentationTRANSCRIPT
Presentation of the tools developed (part 1)
Success & failures of forecasting systems
-> Emilio GARCIA LADONA, ICM-CSIC
Presentation of the tools developed (part 1)
Mech. transport = wind + currents + waves + dispersion
Pollutant (t) = Bio-chem. Transf. + Mech. transport
Oil Spill (and SAR) forecasting system
TOSCA
What is a forecasting system ?
ModelInitial Conditions (Observational
Component)+
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MT Haven, 1991, 145.000 t, within Top 10 spills
Examples
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Source: Forecasting the Prestige oil spills, Daniel, et al. Interspill 2004.
Lebanon spill, 2006
from Coppini et al., 2010
Present SituationImprovements in terms of number of ocean and oil spills
modelsMediterranean (source MOONGOOS) : •at least 3 global basin models and up to 13 high resolution regional models•MOHID, MEDSLIK II, TESEO, GNOME, MOTHY, OILTRANS, SIMPAR, DemWaq…•DREAM (SINTEF), OILMAP (ASA) …..
TOSCA validation activitiesTest sites experiments (i.e Balearic exp.)Training activities with SAR services
Validation activities
Toulon, 09/07/2013
IBI
SST Obs. vs Models
27/10
29/10 30/10
ESEO
27/10
SOCIB
27/10
27/10
30/10
30/1030/10
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Operational SystemsESEOMEDMED-MYOCEANIBI-MYOCEANSOCIB-IMEDEASASEMAR: OILMAP / SARMAP
ModelsESEO SOCIB
IBI MED-MY
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Model Intercomp: (lagrangian)
ESEOIBI-MYOCEAN SOCIB-IMEDEA MED-MYOCEAN
Pure advection using an accurate particle tracer algorithm
Toulon, 09/07/2013
Training exercises
4 SAR exercises in collaborationwith SASEMAR using TOSCA developed drifters
Toulon, 09/07/2013
SAR Exercise: Valencia OffshoreMontecarlo + HIRLAM (AEMET) + HYCOM
Montecarlo + Observed + Observed
Toulon, 09/07/2013
Summary
Toulon, 09/07/2013
Both ocean and oil spills systems have been improved in the past decade (i.e. CALPREA, MERSEA, MYOCEAN, ARCOPOL, etc)
Oil spill codes do not differ too much in terms of numerics, but the forecasting skill is strongly dependent on the accurarcy and representativity of the input/initial fields
Present operational models provided significant different solutions(models with higher resolutions were more representative of observations)
Observations improved model forecast in some cases dramatically.
Forecast improvements indoubtelly require having good initial conditions (observations are crucial!)
The situation of present operational products clearly reveals the need of further tests and validation in close cooperation with SAR agencies.
Thanks for attendingTOSCA Final Meeting!