PPR MERCATORVERT: Putting Bio into Operational Oceanography

1
PPR MERCATOR-VERT Putting Bio into
Operational Oceanography

• Coordination C. Moulin
• towards GMES/MCS
• towards a joint GODAE-IMBER joint WG

2
Objectives

• Use GREEN MERCATOR as a brainstorming network and
  training on Bio into OO
• Exchange ideas for a virtuous loop between OO and
  research
• Use meetings with a lot of time for informal
  discussions

3
BIONUTS (2004-2006)
RD
Implementation
WP1 (P. Monfray) N.Atlantic Demonstrator PSY1-LOB
STER PSY1-PISCES
WP2 (P. Brasseur) Assimilation
P3ZD to LOBSTER
4
The BIONUTS heritage
Chlorophylle de surface pour le mois de Mars 1998
SeaWiFS
MERA11-v067

• Improved assimilation techniques of physical
  parameters, but still weaknesses
• Increase the resolution?
• Assimilate other parameters? (NO3, Chl,)

utilisant le version PSY1V2 de MERCATOR
5
The BIONUTS heritage
Putting BIO into OO is doable !!
Implémentation du démonstrateur en temps réel
LOBSTER-MERCATOR
Applications Regional/Coastal OO, higher trophic
levels,
6
Green Mercator (2007-2009)
Application
Implementation
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
Year 1 2
Year 2 3
WP6 Evaluation strategy (I. Allen)
Year 3
7
The Project

• Kick-off meeting in March
• 2007 in Paris
• 57 k pour 3 ans
• Retard dans la mise en place des crédits lié à la
  signature de la convention entre le CEA, le CNRS
  et le GIP Mercator.

8
The Project

• 2nd meeting in October 2007
• in Toulouse
• 3rd meeting in March 2008
• in Paris
• Next meeting scheduled on June 17th
• in Grenoble

9
The Project

• Computer resources meeting in May 2007, project
  accepted by IDRIS
• Communication
• Letter, website

10
WP1 improvement of process resolution
Based on analysis and reanalysis at various
resolutions to investigate the impact on
biogeochemistry of the transition between eddy
permitting to eddy resolving Task 1.1
Evaluation of space-time resolution Task 1.2
Impact of resolution over the Indian Ocean
M. Lévy, O. Aumont, A. Albert (stage M2), D.
Iovino (post-doc), V. Koné (post-doc), C.
Lathuillière (thèse), L. Resplandy (thèse)
11
Task 1.1 Evaluation of space-time resolution
12
Task 1.1 Evaluation of space-time resolution
13
Task 1.1 Evaluation of space-time resolution
B9 online
B9 off line

• How to represent
• vertical mixing
• in offline runs with
• degraded resolution?

Phyto Surface Moyenne annuelle
B27 online
B27onB9 offline
14
WP2 model-data integration
Based on assimilation of physical and/or
biogeochemical data to improve physics and/or
biogeochemistry for biological purposes Task 2.1
development of a ¼ North Atlantic prototype,
assimilating physical AND nutrient data in a
coupled model Task 2.2 Biological model
parameter estimation via ocean colour data
assimilation
D. Béal, J.-M. Brankart, P. Brasseur, Y.
Ourmières(), J. Verron LEGI/CNRS, Grenoble (
now at LSEET/USTV, Toulon) Kane, C.
Moulin IPSL/LSCE, Gif-sur-Yvette
15
Task 2.1 Assimilative Platform (LEGI)
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) LOBSTER coupled
ON-LINE! 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 nutrient
data (Levitus)
16
May 1998 surface chlorophyll (mg.m-3)
FREE
SeaWiFS
PH_A
PN_A
17
June 1998 Nitrate (mmolN.m-3)
FREE
Levitus
PH_A
PN_A
18
Task 2.1 Assimilative Platform (LEGI)

• The assimilative platform works well
• Demonstrated utility to constrain not only the
  physics but also the components of the biological
  state vector
• The tools to assimilate nitrate data O.K., but we
  need reliable in situ data !
• Assimilate O2 data from Argo is the next step
  (link with the PABIM PPR)
• (Details in Ourmières et al., 2007, submitted)

19
Task 2.2 Towards Ocean Colour Assimilation
(LEGI)
Context Data Assimilation within a coupled
physical biogeochemical model Objective
ensemble simulations to characterize the
sensitivity of the coupled model to error
sources (e.g. wind), in the perspective of
ocean colour data assimilation ?
what can be controlled with ocean colour data ? ?
? Strategy Before data assimilation (DA)
(i) to explore the impact of wind errors in the
physical model on biogeochemical
variables, using ensemble techniques (ii)
then, to investigate the inverse problem for DA.
20
Task 2.2 Towards Ocean Colour Assimilation
(LEGI)
Simulations densemble (200) sur 15 jours en
faisant varier les champs de vent pour voir si il
y a des corrélations entre variabilité des
paramètres physiques et biogéochimiques.
21
Task 2.2 Towards Ocean Colour Assimilation
(LSCE)
Context Biogeochemical data assimilation within
PISCES Objective Optimize PISCES physiological
parameters (mortality, grazing, growth), in the
perspective of ocean colour data assimilation
Strategy Work on a 1D version of PISCES and
assume the physical model is OK
Chl at BATS
22
Task 2.2 Towards Ocean Colour Assimilation
(LSCE)
Assimilation of the tracers measured at BATS
(green) to find the best set of physiological
parameters (black)
23
Task 2.2 Towards Ocean Colour Assimilation
(LSCE)
Use of the BATS parameters at station HOTS
(Hawaii)
24
WP3 extension to global ocean
Based on analysis and reanalysis at 1/4
(eventually at 1/12), to investigate
variability of primary production and CO2
fluxes Task 3.1 Integration of degradation
into the Mercator system Task 3.2
Implementation of PISCES in a global version

• C. Moulin, L. Bopp
• LSCE
• O. Aumont
• LOCEAN
• A. El Moussaoui, M. Drévillon, E. Dombrowsky, L.
  Nouel, E. Greiner
• MERCATOR

25
Task 3.1 Integration of degradation
La dégradation est une opération qui consiste à
moyenner la dynamique et les forçages sur les
différents points de grille mer qui
correspondent à un super-point mer de la
grille grossière. De nombreuses difficultés
informatiques ont dues être réglées, mais nous
avons depuis peu une version qui semble stable.
26
Task 3.1 3.2 Integration of Degradation and
of PISCES
NATL4 (1/4)
Stand-by
. PISCES/BIO4
Spin-up 3 ans
Simulations 2002-2005
. PISCES/BIO1 , dégradé de 1/4 ? 1
Spin-up 5 ans
Simulations 2002-2005
Global ¼
En cours
. Version dégradée 1/4 ? 1
Spin-up 3 ans
Simulations 2002-2005
La priorité a été mise sur le global, mais nous
sommes actuellement limité par les moyens de
calcul.
27
Task 3.1 3.2 Integration of Degradation and
PISCES
Ca fonctionne (à analyser avec plus de mois
simulés)
28
WP4 Interface to regional sub-system
Based on interface coupler for physical and
biogeochemical variables, allowing the use of
global ocean analysis or reanalysis to force
coastal or regional biogeochemical/ecosystem
models

• O. Aumont, V. Echevin, V. Kone, M. Lévy, F.
  Pinsard
• LOCEAN
• D. Obaton
• MERCATOR

29
WP5 Extension towards marine resources
Based on offline coupling with medium, and
eventually upper, tropic level models
P. Lehodey, I. Senina, P. Gaspard CLS O.
Aumont LOCEAN
30
WP6 Evaluation Strategy Task 6.1 Promoting a
set of metrics to benchmarks model performance

• I. Allen
• Plymouth Marine Laboratory

31
The project goes well, but

• Computer resources require more compter time
  from IDRIS (in May)
• Analysis of global simulations A new post-doc
  (CarboOcean) will help
• Integration of WP4, 5, 6 First global
  simulations are important
• Not enough people Finding resources elsewhere
  (ANR?) to reinforce the project.