1. OPTIMA OPTical data Modelling and Assimilation Stefano Ciavatta
OPTIMA
OPTical data Modelling and Assimilation
Stefano Ciavatta
Kick-off video meeting, Plymouth/Toulouse, 5th April 2018

2. Team Stefano Ciavatta (Project & PML PI) David Ford (Met Office PI)
Marine ecosystem modeller, data assimilation: management & R&D
David Ford (Met Office PI)
Marine modeller, data assimilation system, reanalysis simulation
Jorn Bruggeman (PML CO-I)
Marine ecosystem modeller: optical model development
Robert Brewin (PML CO-I)
Earth observation scientist, PFT absorption algorithm & time series
Jozef Skakala (PML CO-I)
Marine modeller, data assimilation system, reanalysis simulation
Timothy Smyth (PML CO-I)
Marine Biogeochemistry and Ocean observations: optical in situ data
Ben Taylor (PML CO-I)
Remote sensing analyst, operationalization of PFT abs production
Stephanie Dutkiewicz – External Expert;
Principal Research Center for Global Change Science, MIT. IOCCG

3. Context Oxygen deficient
Prediction of biogeochemical indicators is essential for marine protection, end-user applications, marine policy implementation
…. And for CMEMS’ goal !
Oxygen deficient
Ciavatta et al., JGR, 2016

4. But did not improve the PFT succession
Context
Kd(443) diffuse light attenuation coefficient
SeaWiFS; Lee et al., JGR, 2005a
CDOM
Phytopl
Bacteria
Zoopl Kd
Lee et al., JGR, 2005b
POC
Ciavatta et al., PiO, 2014
Shulman et al., JGR 2013: phytoplank absorption
Jones et al, Biogeoscience, 2016 : rs reflectance
But did not improve the PFT succession

5. But no feed-backs on under-water light field
Context
TOSCA – Assimilation of PFT chlorophyll
But no feed-backs on under-water light field

6. Objective Optical DA: Cool, but did not improve the PFT succession
PFT Chlorophyll DA:
Cool, but did not improve the under-water light field
Optical DA:
Cool, but did not improve the PFT succession
Hyp: PFT optical DA will improve PFT succession & light field, therefore biogeochemistry at once

7. Altogether! Structure & methods NEMOVar Tasks Methods
Brewin et al., 2011, 2017
Ciavatta et al., 2014
Butenschon et al., 2016
Bruggeman, J. & Bolding, K., 2014
NEMOVar
3D-VAR
First-Guess—At-Appropriate-Time
Log-transformation
Incremental Analysis Update;
Waters et al., 2015;
Skakala et al., in review
T1. Regional algorithm from PFT absorption from ocean colour
Brewin, Taylor, Smyth
T2. To implement and validate a spectral bio-optical model
Bruggeman, Ciavatta
Milestone: TS of PFT abs data
T3. To develop a data assimilation system for optical data
Ford, Skakala
T4. Reanalysis simulation and validation by using in situ data
Skakala, Ford, Ciavatta

8. Structure & outputs to CMEMS
Tasks
Outputs
T1. Regional algorithm from PFT absorption from ocean colour
Brewin, Taylor, Smyth
Capability for production of PFT abs in CMEMS OCTAC ATL region
Capability of spectral optical modelling
in CMEMS MFC NWS
T2. To implement and validate a spectral bio-optical model
Bruggeman, Ciavatta
Milestone: TS of PFT abs data
T3. To develop a data assimilation system for optical data
Ford, Skakala
Capability for
DA of PFT absorption
in CMEMS MFC NWS
T4. Reanalysis simulation and validation by using in situ data
Skakala, Ford, Ciavatta
Quality evaluation & Ocean state assessment

9. Risk plan Tasks Risk / fix
T1. Regional algorithm from PFT absorption from ocean colour
Brewin, Taylor, Smyth
Poor regional tuning/
Global parameterization
Ciavatta 2014 is “old”/
Gradual development & update or focus on PAR
T2. To implement and validate a spectral bio-optical model
Bruggeman, Ciavatta
Milestone: TS of PFT abs data
T3. To develop a data assimilation system for optical data
Ford, Skakala
No-assim var degraded/
Out of analysis or PAR
T4. Reanalysis simulation and validation by using in situ data
Skakala, Ford, Ciavatta
No-assim var degraded/
Focus on PAR

10. Timeline

11. Deliverables

12. Budget

13. Improved satisfaction of a larger number of CMEMS users
Impact and relevance of the project for CMEMS
Responses to CMEMS R&D challenges
Modelling
Monitoring
Upgraded
Assimilation
system
Novel system for reprocessed and NRT data of PFT absorption
Improved simulation of biogeochemical indicators
…thus contributing to the CMEMS goal, i.e. “to provide regular and systematic reference information on the physical state, variability and dynamics of the ocean and marine ecosystems for the global ocean and the European regional seas.”
Improved satisfaction of a larger number of CMEMS users

14. Impact and relevance of the project for CMEMS
Responses to CMEMS R&D challenges
Modelling
Monitoring
Upgraded
Assimilation
system
Novel system for reprocessed and NRT data of PFT absorption
Improved simulation of biogeochemical indicators
OPTIMA contributes to the over-arching theme of R&D activity lot 2 “Biogeochemistry and ecosystem in the marine environment” of the call for tenders, covering the R&D area 5: “Modelling and data assimilation for marine ecosystems and biogeochemistry” defined in the “CMEMS SES: R&D Priorities-V3” document.
In particular, OPTIMA tackles directly the “priority topic” “Relationship between optical properties and biomass for direct assimilation of optical properties into biogeochemical models” of lot 2,

15. Impact and & interaction with TACs and MFCs
Monitoring: Novel system for reprocessed and NRT data of PFT absorption
OCTAC production unit at PML will implement the PFT model in reprocessing and NRT software for:
Atlantic region (ATL), including NWS and IBI
Global dataset (potential)
& hold discussion for implementation in OCTAC Mediterranean

16. Upgraded assimilation system
Impact and & interaction with TACs and MFCs
Upgraded assimilation system
MFC NWS in strict collaboration NWS-METOFFICE-EXETER-UK
(John Siddorn, Marina Tonani & CMEMS NOWMAPS team)
Discuss portability to:
- MFC MED using NEMO-BFM (MED-OGS-TRIESTE-IT)
- MFC IBI using NEMO-PISCES (IBI-MERCATOR-TOULOUSE-FR)
- MFC Global using NEMO-PISCES (GLO-MERCATOR-TOULOUSE-FR)

17. Modelling. Improved simulation of biogeochemical indicators
Impact and & interaction with TACs and MFCs
Modelling. Improved simulation of biogeochemical indicators
- Improvement and enrichment of CMEMS product portfolio
- Reanalysis (1year) for ensemble Ocean State assessment

18. Dissemination CMEMS meetings and at regional training courses
2 peer-reviewed papers (e.g., J Geophys. Res.)
2 International conferences (e.g. EGU 019; Ocean Sciences 2020)
International working groups (e.g. GODAE OceanView, IOOCG)
PML and NCEO Communication Groups
Ocean Sciences Meeting San Diego, California, USA February 16-21, 2020

19. Interaction with other projects
CAMPUS
ALTERECO
OPTIMA

20. Thank you