OCTAC:Overview of V2 System EUR & GLO RAN: JRC All OC products (150) using the same file name and...
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Transcript of OCTAC:Overview of V2 System EUR & GLO RAN: JRC All OC products (150) using the same file name and...
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