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Participants: CNR-ISAC Ifremer JRC-EC

European COastal-shelf sea OPerational Observing and forecasting system Integrated Project. WP3: “Better use of remote sensing and in situ observing systems for coastal/regional seas: Task 3.2: “Improved ocean colour algorithms and products for Case-II waters”. Participants: CNR-ISAC

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Participants: CNR-ISAC Ifremer JRC-EC

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  1. European COastal-shelf sea OPerational Observing and forecasting system Integrated Project WP3: “Better use of remote sensing and in situ observing systems for coastal/regional seas: Task 3.2: “Improved ocean colour algorithms and products for Case-II waters” Participants: CNR-ISAC Ifremer JRC-EC Bay of Biscay Adriatic Sea

  2. Validation of ocean products Ocean Colour products in the Bay of Biscay ECOOP WP3.2.1 In its use of Ocean Colour products, Ifremer has particularly developed the service to users, as encouraged by MarCoast (GMES Service Element funded by ESA) • Therefore : • 2 parameters are targeted for validation and assimilation in biological model : Chlorophyll and mineral SPM (for deriving KPAR) • - 3 parameters : SST, Chlorophyll and turbidity, are proposed for the operational monitoring required by the Water Framework Directive

  3. Examples of products and the covered area Mean Mineral SPM MODIS 2003-2007 weeks 17&18 Mean Chlorophyll-a MODIS 2003-2007 weeks 17&18

  4. Validation at coastal station involved in coastal monitoring networks * Some stations are shifted for the matchups * * National in situ networks REPHY: phytoplankton & hydrology / Ifremer SOMLIT: hydrology / CNRS-INSU *

  5. P3 P2 P1 (Coastal) Validation of the chlorophyll concentration : The 15-day climatologies SeaWiFS (1998-2004) + MODIS (2005-2006) : the SRN Boulogne transect

  6. Bell curve types for the chlorophyll seasonal cycle Mean Cabourg (nutrients from the Seine river) Percentile 90% Cabourg Mean Ouest Loscolo (nutrients from the Loire river) Percentile 90%Ouest Loscolo The validation of the satellite chlorophyll is not limited to the mean of the distribution but also to the variance. P90 is the parameter of interest for the WFD (eutrophic risk)

  7. Spring and autumn peaks for the chlorophyll seasonal cycle Percentile 90% Men er Roue Mean Men er Roue Percentile 90%Men Du Mean Men Du

  8. Same systematic validations for Turbidity (NTU) Cancale Here the shift of 3 pixels has a strong effect on satellite turbidity (lower) Ouest Loscolo Boyard Men er Roue

  9. ECOOP – Adriatic Sea The Adriatic Sea includes diverse water types, eutrophic to oligotrophic, for which the OC products are still affected by significant uncertainties. It is also covered by a wealth of field observations and is thus an ideal test bed for advanced remote sensing methods. The first year focused on validation of OC products. NB: Full reprocessing of the SeaWiFS European and global archive completed (Nov. 2007) http://oceancolour.jrc.ec.europa.eu

  10. A unique site and data set for validation of OC products AAOT Acqua Alta Oceanographic Tower - aerosol optical thickness τa (AERONET site; Jul. 1996 – present) Mélin & Zibordi, GRL, 2005 Mélin et al., JGR, 2006 Mélin et al., RSE, 2007a Clerici & Mélin, submit. - normalized water-leaving radiances LWN: in-water optical profiles (regular campaigns since 1995) autonomous above-water radiometry (May 2002 – present) Zibordi et al., IJRS, 2004, IEEE 2004, 2006, GRL, 2006, EOS 2006 Mélin & Zibordi, Appl. Opt., 2007 - concentrations of optically significant constituents: Chla, TSM(regular campaigns since 1995) Mélin et al., RSE, 2005, 2007b - inherent optical properties (IOPs): phytoplankton, CDOM, detritus absorption, particulate back-scattering (regular campaigns since 1995)

  11. Validation of SeaWiFS Radiometric Products SeaPRISM SeaWiFS SeaPRISM Similar analyses have been conducted for MODIS and MERIS. Zibordi et al., GRL, 2006, EOS 2006 Mélin & Zibordi, Appl. Opt., 2007 Mélin et al., submit.

  12. Validation of Inherent Optical Properties Phytoplankton absorption aph(λ) SeaWiFS Absorption by CDOM and NPP adg(λ) SeaWiFS Particulate back-scattering bbp(λ) encouraging results Mélin et al., RSE, 2005, 2007b

  13. Validationof OC Chlorophyll data OC data are produced in NRT by CNR-ISAC in the framework of the Adricosm Project for environmental assesment and data assimilation in models Aims/activities: Assessment of the SeaWiFS and MODIS OC chlorophyll products in the Adriatic Sea with particular attention to the coastal waters (case 2) Test different bio-optical algorithms for Chla (global and Mediterranean) to select the most appropriate one. Define a strategy to improve the Adriatic CNR_ISAC operational regional products in coastal waters to be implemented for ECOOP TOP phase http://gos.ifa.rm.cnr.it/adricosm/index.html

  14. The Adriatic Ocean Color CAL/VAL DATA SETS Po river discharge heavily influences the Western Adriatic Current turbid waters Ancona-Pescara Po river discharge • In situ data set: • 3 oceanographic cruises • Repeated stations acquired by regional environmental agencies • . • 634 SeaWiFS case 2 water matchups • 340 case 2 water Modis matchups Modis Aqua 6th july 2004

  15. ValidationofSeaWiFSChlorophyllproducts OC4v4 (MUMM) OC4v4 JRC CARDER R2=0.52 RMS=0.49 BIAS=0.32 R2=0.45 RMS=0.43 BIAS=0.09 R2=0.42 RMS=0.49 BIAS=0.27 R2=0.49 RMS=0.44 BIAS=0.09 MEDOC4 CLARK JRC (MUMM) MEDOC4 (MUMM) a general overestimation of the satellite Chla in all algorithms also when the regional Adriatic algorithm (JRC) is used No improvements with MUMM atmospheric correction Better results using Carder Algorithm (low Bias; uniform distribution) R2=0.52 RMS=0.52 BIAS=0.34 R2=0.41 RMS=0.40 BIAS=0.02 R2=0.44 RMS=0.50 BIAS=0.30 R2=0.46 RMS=0.49 BIAS=0.30

  16. Validation of MODIS Chlorophyll products OC3 (MUMM) CARDER OC3 R2=0.35 RMS=0.42 BIAS=0.10 R2=0.42 RMS=0.44 BIAS=0.12 R2=0.84 RMS=0.24 BIAS=-0.15 MEDOC3 (MUMM) GSM01 MEDOC3 Chla overestimation using standard (OC3) and Med (MedOC3) algorithms No improvements with MUMM atmospheric correction Better results using Carder Algorithm (highest R2) but small bias R2=0.39 RMS=0.42 BIAS=0.13 R2=0.44 RMS=0.44 BIAS=0.17 R2=0.59 RMS=0.31 BIAS=-0.08

  17. Conclusions • An specific case 2 chla algorithm is required for the Adriatic Sea • In meantime the Carder’s algorithm should be introduced in the CNR-ISAC Adriatic operational processing chain to estimate the chla in Case 2 while MEDOC3 should be maintained for case 1 • We need to develop of a method that produces a single chlorophyll map of the Adriatic with a different chlorophyll algorithm for case 2 and case 1 waters without introducing artificial gradients.

  18. European COastal-shelf sea OPerational Observing and forecasting system Integrated Project Deliverables and First-Year Status completed D3.2.1.1: Report on comparison between R/S and in-situ data (Adriatic Sea) D3.2.1.2: Report on comparison between R/S and in-situ data (Bay of Biscay) D3.2.1.3: Report on multi-sensor merging and dynamic bio-optical algorithm selection (Adriatic Sea) D3.2.1.4: Report on the merging technique between OC R/S and in-situ data (Bay of Biscay) completed

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