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DEVELOPING A EUROPEAN OCEAN COLOUR SERVICE SUPPORTING WATER QUALITY ASSESSMENT AND OPERATIONAL OCEANOGRAPHY Antoine Mangin1, Samantha Lavender2, Odile.

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Presentation on theme: "DEVELOPING A EUROPEAN OCEAN COLOUR SERVICE SUPPORTING WATER QUALITY ASSESSMENT AND OPERATIONAL OCEANOGRAPHY Antoine Mangin1, Samantha Lavender2, Odile."— Presentation transcript:

1 DEVELOPING A EUROPEAN OCEAN COLOUR SERVICE SUPPORTING WATER QUALITY ASSESSMENT AND OPERATIONAL OCEANOGRAPHY Antoine Mangin1, Samantha Lavender2, Odile Hembise1, Nicolas Ganzin3, Philippe Garnesson1 (1) ACRI – France (2) ARGANS Ltd – UK (3) Ifremer - France Ocean Sciences – Orlando – 2008, 4th of March

2 European survey and cyclic reporting on water quality trends
Rationale Demonstration of the best use of ocean colour data(*) has been performed for European water quality monitoring, more specifically relying on two ESA supported projects for: Local/regional implementation of the Water Framework Directive on all EU marine member states European survey and cyclic reporting on water quality trends (*) all sensors are welcome (here MERIS, SeaWiFS, MODIS) ESA service MARCOAST ESA project GlobColour Ocean Sciences – Orlando – 2008, 4th of March

3 Few words ESA service MARCOAST
MARCOAST is the GMES Service Element for Marine Applications. This service streamlines the use of any type of EO for downstream activities in preparation of upcoming EU GMES services. 40 partners / 5 main lines of services / more than 100 users ESA project GlobColour (GC) The aim of the Data User Element GlobColour project is to develop and demonstrate an EO-based service supporting global ocean carbon-cycle research. The GlobColour service provides scientists with a long time-series of consistently calibrated global ocean colour information, according to requirements specified by the global ocean colour user community, as represented by the user group: IOCCG, IOCCP and Met Office/NCOF. The last phase of the project (this year) is to support green operational oceanography deployment. Ocean Sciences – Orlando – 2008, 4th of March

4 Marcoast Service to support Regional monitoring of water quality
Objective: To qualify evolution of water quality at level of «water masses » in order to put in force Water Framework Directive i) at member state level then ii) at European level Indicator of water quality: Stability/variability of surface Chla-a seasonal concentrations Use of either merged MERIS/MODIS Chl-a or, MERIS case 2 waters Chl-a through the Water Quality Service of Marcoast Ocean Sciences – Orlando – 2008, 4th of March

5 Regional monitoring of water quality – Marcoast Service
More specifically there are two missions Analysis of the relevance of water masses delineation (which is achieved). Check afterwards with Ocean Colour derived information that variability of water composition within each water mass is reasonable in term of range of values. And then… Support to the setting up the surveillance: Compare this range of variability to acceptable range allowing the qualification of water mass status and conclusions in term of deployment of complementary in situ observation network. Ocean Sciences – Orlando – 2008, 4th of March

6 Regional monitoring of water quality – Marcoast Service
Water masses ‘a priori’ delineation Ocean Sciences – Orlando – 2008, 4th of March

7 Validation – example : Bouzigues
In situ compared to EO derived Range of spatial variability Temporal trends are captured but amplified with MERIS case 2 Spatial variability is important (possibly due to environmental effects) Ocean Sciences – Orlando – 2008, 4th of March

8 Spatial variability within water mass +/-s
Regional monitoring of water quality – Marcoast Service Final reporting based on P90 values of Chl-a as agreed by Regional Water Authority in charge of monitoring Environmental status ranking Spatial variability within water mass +/-s Water masses Ocean Sciences – Orlando – 2008, 4th of March

9 Regional monitoring of water quality – Marcoast Service
Reporting Water masses delineation appears to be consistent (most of them present a low spatial variability Ocean Sciences – Orlando – 2008, 4th of March

10 Regional monitoring of water quality – Marcoast Service
The reporting is already operational, however some items are still under investigation: Effort on validation Exploitation of a better spatial resolution (MERIS FR) Strategy of merging EO to existing in situ network is under analysis Ocean Sciences – Orlando – 2008, 4th of March

11 Use of GlobColour (GC) Products to support European monitoring of water quality
Context for this monitoing: European Environmental Agency reporting on trends Today the reporting is based on in situ observation and the metric for trend identification is, for a given area, the number of stations that have shown a significant increase/decrease of observed Chla (*) during the last 10 years. (*) Observed Chla is an average seasonal value built on a very strict protocol. Ocean Sciences – Orlando – 2008, 4th of March

12 Background – ingredients for reporting
About 6800 Chla samples in … and thus the report 14 eco-regions Works are being undertaken to replace/complement in situ sampling by EO (and here more specifically by GlobColour) Ocean Sciences – Orlando – 2008, 4th of March

13 Trends analysis Important distinction: We are not trying here to quantify trends but to identify the probable ones. Method used Setting up of a non parametric test for detection of trends at GC pixel level. The test is based on summation of sign of difference between one status and the previous ones (eg. season 2005 compared to 2004, 2003 etc..) Statistical variance s2 of a white noise on such times series is analytically known. So … any departure above (resp. below) 2s (resp. –2s) from this law would indicate that a trend exist with a 95% significance level Ocean Sciences – Orlando – 2008, 4th of March

14 Trends detection – SeaWiFs – 1998-2006
Spatial consistency of possible trends are evidences of trends 2.5% White noise at a level of significance of 95% Ocean Sciences – Orlando – 2008, 4th of March

15 MODIS SeaWiFS Possible trends are very consistent from one single sensor to the other GlobColour Patchiness of MERIS results is probably due to coverage MERIS Ocean Sciences – Orlando – 2008, 4th of March

16 Correlation coefficient for the seasonal figures
.6/.8/.6 .2/.5/.2 .8/.9/.9 .3/.6/.4 .8/.9/.8 .9/.9/.9 .7/.8/.7 .8/.8/.8 .9/.9/.8 MERSWF/SWFMOD/MERMOD This gives a reasonible confidence level (or caution level!) in the merging of all sensors in order to identifiy trends Ocean Sciences – Orlando – 2008, 4th of March

17 Final reporting for EEA
0% 20% 40% 60% 80% 100% Are well comparable! trends GC trends Ocean Sciences – Orlando – 2008, 4th of March

18 Conclusions ESA’s Marcoast and GlobColour initiatives have been the opportunity to demonstrate reliability of OC for environmental reporting. Robusts methods have been derived to stick to environmental reporting use and protocols Providing that the flow of OC data is maintained, this opens the door to a real and operational integrated service for water quality assessment and operational oceanography Ocean Sciences – Orlando – 2008, 4th of March

19 Thank you for attention
DEVELOPING A EUROPEAN OCEAN COLOUR SERVICE SUPPORTING WATER QUALITY ASSESSMENT AND OPERATIONAL OCEANOGRAPHY Antoine Mangin1, Samantha Lavender2, Odile Hembise1, Nicolas Ganzin3, Philippe Garnesson1 (1) ACRI – France (2) ARGANS Ltd – UK (3) Ifremer - France Ocean Sciences – Orlando – 2008, 4th of March

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