OCTAC:Overview of V2 System

EUR & GLO RAN: JRC

All OC products (150) using the same file name and format convention

OCTAC products:

The main mission of OCTAC is to operate a European Ocean Colour Service for GMES marine applications providing global, pan-European and regional (NW Shelves, Arctic, Baltic, Mediterranean, Iberian-Biscay-Ireland (IBI) and Black Seas) high quality ocean colour products, accompanied by a suite of quality assurance items including accuracy.

OCTAC products are not only used by MyOcean Forecasting Center but also directly useable by intermediate/end users (intergovernmental bodies, National Environmental Agencies, etc.) to monitor the marine state.

OCTAC provides a series of products that satisfy these stakeholders’ requirements:OC products users are classified as:-> internal users -> MyOcean MFCs -> MyOcean external users : MyOcean registered users

MyOcean: GMES Marine Core Service

MyOcean is delivering the ocean monitoring and forecasting component of the GMES Marine Service

MyOcean users

Users in 65 different countries (25 EU members)

A fair repartition in application areas

And 67% of users using the core service in more than one sector

27%

25%

17%

30%

Marine safety

Marine & coastal environment

Climate seasonal &weather forecasting

Marine Resources

OC data assimilation in ecosystem models: Med-MFC system example

MyOcean Modelling Forecasting centers (GLO,ARC, BAL, NWS, IBI,MED,BS) use OC data operationaly or in re-analysis mode:

- to improve the ecosystem model forecasting via OC data assimilation - to validate quality of the model outputs

CirculationModel

1/16°

INGV

CirculationModel

1/16°

INGV

Biogeochemical Model

OPATM-BFM1/8°

OGS CINECA

Biogeochemical Model

OPATM-BFM1/8°

OGS CINECA

Quality Control

Products

OGS

Quality Control

Products

OGS

Satellite CHL dataKd data

ISAC-CNR

Satellite CHL dataKd data

ISAC-CNR

Satellite CHL data

ISAC-CNR

Satellite CHL data

ISAC-CNR

April 2012 forecast

Surface chlorophyll concentration (mg chl/m3) observed during March 2010 in the Gulf of Lions: satellite (top), operational forecast after assimilation of OC data (middle)

Model output online validation

OC data assimilation in ecosystem models: Med-MFC system example

OC data assimilation: impact of satellite data on biogeochemical state variables

MLD NO3 ZOO

linear

non-linear

Impact of surface phytoplankton assimilation: standard deviation of the posterior ensemble distribution (normalised by prior ensemble standard deviation)

NATL4-LOBSTER (Béal, Brasseur)

0.0

0.5

1.0

1.5

2.0

2.5

3.0

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

Ch

loro

ph

yll

a (m

g m

-3)

Irish Sea

Southern North Sea

Eastern Channel

Western Channel & Celtic Sea

Northern North Sea

0

1

2

3

4

5

6

7

8

9

10

0.00 2.00 4.00 6.00 8.00 10.00

Chlorophyll (mg m-3) SmartBuoy

Ch

loro

ph

yll a

(m

g m

-3)

Sa

telli

te

Warp Anchorage Liverpool BayWest Gabbard North DoggerOyster Grounds 1:1

Assessment of chlorophyll in offshore areas for MSFD reporting (Cefas, UK)

Validation against chlorophyll measured in situ by moored fluorometers

GMES-MyOcean-MarCOAST-MERIS-chl-2 used to

calculate time and space-averaged chlorophyll for different UK sea areas

Monitoring the coastal water quality

Exemple: Annual Time Series of Chl-a derived from in-situ fluorescence, MERIS and MODIS

October 2010-2011

In-situ mean cycle and percentile 90 are indicated on the graph

The MAREL automatic station in the northern English Channel (Boulogne harbour)

coastal environment of southern for oyster farming.

OC contribution to MSFD:MSFD’s aim is to achieve good environmental status of the EU’s marine waters by 2020.

The EEA and national environmental agencies use indicators based on in-situ Chl-a trends to monitor eutrophication in the European seas

In the fremework on MyOcean & Marcost a new indicator based on ocean-colour data has been proposed to monitor the eutrophycation staus of the European and national waters

Pan-European Chl a trend values (mg m-3 y-1) from Global Ocean SeaWiFS – MyOcean (left panel) and from Global Ocean GSM – MyOcean (right panel) for the period 1998-2009.Coppini et al 2012

www.myocean.eu

Marine Safty: Costa Concordia accidentMyOcean and PRIMI Response

Workshop PRIMI (12 aprile 2011) - Il monitoraggio dallo spazio dell’inquinamento marino da idrocarburi tra presente e futuro

SAR(+ QuickLook)

OTTICO

PREVISIONEDati EODati EO

DatiMeteo-marini

DatiMeteo-marini

Mail serverMail server

ARCHIVIO+ I/F

Report UtentiReport Utenti

Portale UtentiPortale Utenti

Italian PRIMI Oil-Spill Monitoring System

Multi-mission:ERS, AQUA; ENVISAT, RADARSAT,

COSMO/Sky-Med, TERRA … (all satellites providing SST)

Multi-mission:ERS, AQUA; ENVISAT, RADARSAT,

COSMO/Sky-Med, TERRA … (all satellites providing SST)

Multi-source: Earth observation data and

in-situ information

Multi-source: Earth observation data and

in-situ information

Observation & ForecastMonitoring component completely

connected with forecasting Satellite data Assimilation in models

Observation & ForecastMonitoring component completely

connected with forecasting Satellite data Assimilation in models

Integration: Information content into a GIS

Integration: Information content into a GIS

Costa Concordia PRIMI oil-spill monitoring

8Report Costa Concordia

• 25 Jannary 2012: Giglio Report from MERIS pass at 09.36.• Report sent to Italian Coast Guard.

• small OS detected North of Giglio

Enhanced Image

%

Oil-spill classification

OS detection score

www.myocean.eu

Costa ConcordiaMyOcean response

MyOcean – Daily forecasts of the oil spill drift and spreading from the Costa Concordia ship

Currents forecasted in the area

Oil spill scenarioderived locally

Decision support for operations

13th Jan 2012

www.myocean.eu

GMES-MyOcean-INGV Bulletin

The ship contains 300 Tons of oil (API 17)which are supposed to spill out in 72 hours

Black is oil on the coasts

Costa ConcordiaThe daily forecast

www.myocean.eu

Coastal LandscapeSustains human industrial, agricultural, and economic activities around major population centers

Awareness of spatial patterns and associated changes; how these self-organized sandy coastlines interact with changing storm and sea-level forcing and human stabilization attempts

Coastal management.

Coastal Morphodynamics

Link among: human dynamics, sediment transport, physical

oceanography, biochemistry, geochemistry, geology, hydrology, atmospheric dynamics, including climate

change.

www.myocean.eu

The Historic 2011 Mississippi River flood… a first step for coastal morphodynamics by using MODIS products (from Falcini et al 2012)

Granted by

NSF RAPID

Institute of Marine Remote Sensing, USF

Mississippi and Atchafalaya plumes had very high SSC that could have potentially contributed to marsh accretion, BUT their contrasting hydrodynamics led to very different depositional patterns

Mississippi

Atchafalaya

www.myocean.eu

Spatial distribution of sediment during the 2011 Flood from satellite OC data calibrated with in situ measurements

a, Locations, and measured recent sediment accumulation, from shallow cores along the Delta shoreline (circles), merged with map of SSC on 1 June, 2011 derived from field-calibrated MODIS aqua data. b, Recent sediment accumulation at each sampling site. From Falcini et al 2012 submiited to Nature Geoscience

Climate & Seasonal Forecasting: biological pump

Gas Transfer Velocity

Chlorophyll

Satellite Primary Productivity: Mediterranean regional model Satellite Primary Productivity: Mediterranean regional model

•New relationship Ze -> Ctot

•New relationship Ctot -> Csat

•New trophic categories based on•Mediterranean chl profiles

d

0

Ze

0

700

400

maxμ,*max dzdtT))df(x(z,λ)t,PUR(z,Chl(z)φa12=PP

Satellite INPUT DATA

PAR

Chl Gennaio

Febbraio

Marzo

Aprile

Maggio Settembre

Giugno Ottobre

Luglio Novembre

Agosto Dicembre

OISST PP

Mo

nlt

hly

Cli

mat

olo

gy