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Title: Toward integrated ecosystem and biogeochemical modelling in the GODAE framework


1
Toward integrated ecosystem and biogeochemical
modelling in the GODAE framework
Paris, June 12 2007
P. Brasseur, CNRS-LEGI, Grenoble, The French
Alps and many other colleagues (Mercator, CNRS,
CNES Ifremer, IRD, Météo-France, SHOM)
  • OUTLINE
  • The European context MERSEA Integrated Project
    (FP6)
  • The MERCATOR systems for Global and North
    Atlantic oceans
  • RD issues and strategy for integrated ecosystem
    modelling
  • The future EuroARGO and MyOcean (FP7)

2
The GODAE IMBER initiative (Ecosystem
modelling)
  • To facilitate dialogue between those developing
    new ecosystem models and the developers of the
    operational systems.
  • To promote mutual understanding of the
    requirements of the two communities.
  • Areas of importance
  • Ecosystem modelling data assimilation
  • - Schemes for assimilation of
    biogeochemical data are under development
  • - Current assimilation schemes degrade the
    biogeochemistry
  • - Overall high horizontal and vertical
    resolution models for the upper ocean are
  • needed.
  • - Advanced schemes for a finer vertical
    structure are a key issue for nutrient
  • transport.
  • Interaction with coastal and shelf seas systems
  • Support for B-Argo (see friends of Oxygen on
    Argo)
  • Reanalysis

First GODAE-IMBER Meeting Paris, France, 12-13
June 2007
Establishment of GODAE-IMBER Working Group
desired to coordinate modelling and
observations
3
Ecosystem response to oceanic variability ?
4
  • 1. European framework for GODAE the MERSEA
    Integrated Project (FP6)

5
Development of a European system for operational
monitoring and forecasting of the ocean physics,
biogeochemistry, and ecosystems, on global and
regional scales
6
MERSEA Integrated Project
  • RD project funded under 6th FP of the European
    Commission
  • Thematic priority SPACE - GMES (Global
    Monitoring for Environment and Security)
  • Ocean and Marine Applications
  • Four-year project (2004 2008)
  • 40 contractors, 16 countries (or Int. Org.)
  • Coordination IFREMER (Institut Français de
    Recherche pour lExploitation de la Mer), France

7
MERSEA Global to Regional coverage
8
  • 2. The MERCATOR systems for Global and North
    Atlantic oceans

9
Incremental development 3 main steps
PSY3
PSY2
PSY1
10
Mercator systems running today and short term
upgrades
  • Global ¼
  • Before April 2007 Global ¼ with optimal
    interpolation (lifting and lowering method) of
    altimetry alone, based on OPA8,  if-type  ice,
    daily forcing (fluxes), weekly operations
  • Since April 2007 update of the ¼ global
    OPA/NEMO, LIM-2 ice, SEEK assimilation (3D EOFs)
    of altimetry, T/S profiles, SST, daily forcing
    (BULK formulae, weekly operations
  • Both systems operated until end of september (end
    of Mersea TOP2)
  • North Atlantic and Mediterranean HR
  • Today PAM grid 5 to 7 km North Atlantic (gt9N)
    and 1/16for the Mediterranean, OPA8, optimal
    interpolation using multivariate statistics
    (including 1D vertical) of altimetry, T/S
    profiles and SST, daily forcing (fluxes), weekly
    operations
  • Summer 2007 update using NATL12 OPA/NEMO 1/12
    ORCA grid, SEEK assimilation of altimetry, T/S
    profiles and SST, daily forcing using BULK
    formulae, weekly operations

11
Towards daily operations
Mercator systems medium term upgrades
  • High temporal resolution (lt6h) forcing under
    investigation
  • Operational daily scenario under investigation
  • Forcing updates and assimilation
  • April 2008 start of a demo system on the North
    Atlantic
  • August 2008 operational daily service

Towards global ¼ reanalyses of the physical ocean
  • ORCA025-LIM SAM2 (SEEK)
  • 2007 first stream 2002-2007 (Mercator years)
  • 2008 second stream 1993-2007 (modern altimetry
    years)
  • 2009 third stream 40 years (ERA40)

12
Coupled models NEMO OPA9
PISCES O(100) parameters (Aumont et al., 2004)
LOBSTER (Lévy et al., 2003)
13
Implementation
Application
RD
WP4 (O. Aumont) Interface to regional sub-system
WP1 (M.Levy) Improvement of process resolution
PSY3-PISCES WP3 (C. Moulin) Extension to
global ocean PSY4-PISCES
WP2 (P. Brasseur) Model-data integration
WP5 (P. Lehodey) Extension towards marine
resources
WP6 Evaluation strategy (I. Allen)
 Green Mercator 
14
Toward a bio-component in MERCATOR
PISCES 1 real time
june 2007
june 2008
PISCES 1/4
NATL12
april 2009
PISCES 1/4 real time
ORCA12
15
  • 3. RD ISSUES and STRATEGY for integrated
    ecosystem modelling

16
Data assimilation for coupled physical-biogeochem
ical modellingmultiples sources of uncertainty
!
  • Hydrodynamics

Relevant to GODAE!
  • Biology

17
MERSEA RD OBJECTIVES
  • OPERATIONAL
  • O.1 Develop the prototype of a coupled
    physical-biological assimilative system, which
    will be operated in delayed mode during selected
    periods (1998) to routinly estimate and monitor
    biogeochemical variables
  • O.2 Transition the tool (or pieces of it) for
    operational demonstration on the North Atlantic,
    in connection with other MERSEA activities
  • SCIENTIFIC
  • S.1 Quantitatively improve the representation
    and space-time variability of marine ecosystems
    in ocean basins, by coupling with multi-data
    assimilative eddy-resolving circulation models,
    focusing on key coupling mechanisms (mixed layer
    dynamics, eddy activity, vertical advection,
    etc.)
  • S.2 Investigate the scientific value of ocean
    colour to improve the representation of primary
    production, and develop new approaches to invert
    this information in models

18
System available at MERSEA start Integration
strategy
  • QUESTIONS
  • How does the assimilation of multivariate data
    sets affect the coupling and ecosystem response ?
  • How should the assimilation platform be modified
    to improve the coupling
  • circulation model and forcings ?
  • ecosystem model ?
  • assimilation scheme ?

19
Platform V0 surface Chl_a (mg m-3) , March 1998
SLA SST assimilation
No DA
  • Free model simulation over-estimates the
    observed data
  • The assimilation intensifies the biological
    response

SeaWiFS
20
Vertical diffusivity at 30W
No assimilation
SLA SST assimilation
21
Nutrient supply (integrated in euphotic zone)
22
  • NEW RD ASSIMILATIVE PLATFORM
  • Ocean circulation model NEMO-NATL4
  • Biogeochemical model LOBSTER
  • Assimilation engine SEEK-IAU

23
NEMO circulation model(Barnier et al. - DRAKKAR)
North Atlantic configuration Domain 20S-80N,
98W-23E Resolution 1/4 - 21 km in the Gulf
Stream 45 levels, 6m to 250 m Free
surface formulation, partial steps Surface
fluxes ERA40 (bulk formulations) SSS relaxation
to Levitus climatology Experimental
set-up Spin-up period interannual 1984-1996
Hindcast period 1996-1998 Assimilation scheme
SEEK filter, local error sub-space (EOFs),
incremental updates Assimilation data
along-track T/P ERS altimetry, AVHRR SST and
climatological SSS
24
LOBSTER ecosystem model (Levy et al., 2002)
  • Coupled on-line to circulation model
  • Bio parameters tuned for North Atlantic basin

25
The SEEK assimilation cycle
26
Modified SEEK analysis Vertical stratification
(1D tests)
Unconstrained analysis
Constrained analysis
Forecast
Observations
27
1998 EXPERIMENTS
Exp. Name FREE NI_A PH_A PN_A
Assimilation of physical data No No Yes Yes
Assimilation of nitrate fields No Yes No Yes
Control Vector None NO3 U, V, T, S U, V, T, S, NO3
Data assimilated None NO3 climatology SST, SSH T and S climatology SST, SSH T, S and NO3 climatology
28
1998 EXPERIMENTS
Exp. Name FREE NI_A PH_A PN_A
Assimilation of physical data No No Yes Yes
Assimilation of nitrate fields No Yes No Yes
Control Vector None NO3 U, V, T, S U, V, T, S, NO3
Data assimilated None NO3 climatology SST, SSH T and S climatology SST, SSH T, S and NO3 climatology
NO3 clim backgroud term
29
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30
  • FREE
  • PH_A
  • NI_A
  • PN_A

Misfit to CLIM nitrate
31
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32
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33
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34
1998 Phyto-Zoo grazing flux (mmolN.m-2)
FREE
NI_A
PH_A
PN_A
35
  • 4. Future plans in Europe EuroARGO and MyOcean
    (FP7)

36
EURO-ARGO
  • Context ESFRI (European Strategy Forumon
    Research Infrastructures) (European Commission).
    Roadmap for new large research infrastructures of
    pan-European interest.
  • Euro-Argo selected (35 projects 7 environment
    sciences)
  • Proposal Europe establishes an infrastructure
    for ¼, i.e. 800 floats in operation
  • Requirement 250 floats per year including
    regional enhancements (Nordic, Mediterranean and
    Black seas)

37
EuroARGO - Preparatory Phase Proposal
  • Main expected outcomes
  • Agreement for long term (10-20 years) operation
    of Euro-Argo (financial, legal, governance,
    organisation, technical). Member States
    (ministerial level)
  • Agreement with EC (GMES, GEO, DG Research) for
    additional long term EC funding
  • Main technical and organizational issues to be
    solved
  • Links with international structure

38
Optical sensors implementation on PROVOR (PROVBIO
II) (Claustre and DOrtenzio, LOV)
PROVBIO II
39
Future developments and perspectives
40
GMES Marine Core Serviceand European operational
oceanography
00
01
02
03
04
05
06
07
08
09
10
11
12
13
...
Operational
Implementation
Initial
GMES Phases
Demonstrate the European maturity of oceanography
Build the GMES marine system, integrating the
core capacities (MERSEA)
Run the GMES marine core service, on an
operational basis
  • Challenge (1) run the European core service on
    an operational basis
  • Challenge (2) link definitively with the
    European and member states main services and
    applications
  • Challenge (3) organise an a sustainable basis
    the link between this operational European
    service and the existing research networks

41
MY OCEAN a 3-year project to set up and
operate the GMES Marine Core Service
The down stream Cut off
The upstream cut-off
downstream to our service ... is done (duty), or
will be better done (skill) by a specialized
agency, a European agency or a national center
usually already in place Example COASTAL
SYSTEMS
upstream to our service ... is done (duty) by an
observation agency or center (raw data) Example
Eumetsat SAF or the ESA PAC
Data, Model European added-value
42
Modelling and Forecasting centers and regions
  • 1. Global
  • 2. Arctic
  • 3. Baltic
  • 4. NWS
  • 5. IBI
  • 6. Med Sea
  • 7. Black Sea

Arctic GOOS
2
NOOS
4
3
BOOS
1
GOOS/ GODAE
1
7
1
6
Black Sea GOOS
5
6
IBI-ROOS
MOON MedGOOS
43
  • 5. Conclusions

44
  • The assimilation of physical data can improve the
    representation of ecosystem variability (in space
    and time) on many aspects (upwellings, mesoscale,
    high-latitudes, ), BUT existing (operational)
    methods have not been designed in that
    perspective
  • Need to constrain not only the physics but also
    the components of the biological state vector
  • The tools to assimilate, e.g. nitrate data O.K.,
    but we need reliable in situ data ! Impact
    studies should be performed to recommend
    strategies for in situ bio measurements which
    variables, sampling strategies ?
  • Metrics to evaluate the benefit ? Toward
    BIO-MERSEA metrics ? Too early ?
  • Useful ocean information and required accuracy
    for computing diagnostic quantities which cannot
    be measured directy (grazing, regenerated
    production, pCO2, ) ?
  • Ocean colour should be assimilated in the future
    observability ? Assimilation of OC products or
    direct assimilation of SSR ?
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