Marine Ecosystem Analysis &Prediction Task Team Reportgodae-data/GOVST-IV/presentations/... ·...
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Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Marine Ecosystem Analysis &Prediction Task Team Report
Rosa Barciela, Met Office Hadley Centre, UK
Pierre Brasseur, LEGI/CNRS, France
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Talk Outline
• Our remit
• Task Team Progress since GOVST III
• What’s next?
• Feedback from MEP-TT meeting
on Monday.
• Summary
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Task Team’s Remit
Open Ocean Operational Biogeochemistry
Ocean Biogeochemical
Model
3D Ocean Model
Takihashi
et al. 2009
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Task Team Progress since GOVST III
• MEP Task Team Workshop - Feb 2012 (Met Office, UK)
• Firmed up Task Team Membership
• Found a common vision:
• prioritised TT work topics
• topic leaders
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Members Name Surname Country Affiliation
Barciela Rosa UK Met Office
Brasseur Pierre France LEGI/CNRS
Arnone Bob USA NRL
Bertino Laurent Norway NERSC
Chai Fei USA U. Maine
Crise Alessandro Italy OGS
D'Ortenzio Fabrizio France LOV/CNRS
El Moussaoui Abdelali France Mercator-Océan
Gehlen Marion France LSCE/CEA
Lee Tony USA NASA/JPL
Matear Richard Australia CSIRO
Murtugudde Raghu USA ESSIC/U. Maryland
Perry Mary Jane USA U. Washington
Phinney Jonathan USA FWS (Fish & Wildlife Service)
Regner Peter Italy ESA
Foster Rodney UK CEFAS
Stockhausen William (Buck) USA NOAA
Yongsheng Wu Canada DFO
Yoshie Naoki Japan Fisheries Res. Agency
Task Team Progress since GOVST III
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Task Team Progress since GOVST III
MEP Task Team Workshop, Feb 2012, Met Office (UK)
Participant Affiliation Country
Rosa Barciela Met Office UK
Pierre Brasseur LEGI/CNRS France
Alessandro Crise OGS Italy
Eric Dombrowsky Mercator Ocean France
Abdelali El Moussaoui
Mercator Ocean France
Rodney Forster CEFAS UK
Marion Gehlen LSCE/CEA France
Youichi Ishikawa Kyoto University/ JAMSTEC
Japan
Tong Lee NASA/JPL USA
Patrick Lehodey CLS France
Richard Matear CSIRO Australia
Roland Seferian LSCE France
Present
Absent
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Aims
• Bring together relevant players in the GODAE-IMBER
(biogeochemical) communities:
– operational, scientific, observational
– applications
– deep/open ocean focus
• Understand:
existing capability
interests, priorities and current lines (national) of work
are there any areas where we can easily work together on?
• Draw a work plan aligned to the Task Team’s remit
MEP Task Team Workshop
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Priority topics and leaders
Topic 1
Evaluation of the
impacts of physical
data assimilation on
biogeochemistry
(Tony Lee)
Assessing the
impact of biological
data assimilation on
biogeochemical
models
(Richard Matear)
Topic 2
Champion the
exploitation of OO
products in “real
world” applications
(Rosa Barciela)
Topic 3
Biological Ocean
Observing Systems
(Pierre Brasseur)
Topic 4
Scientific Strategic
• Model inter-comparisons
• Feedback to model development
• Refinement of data assimilation schemes
• Links to downstream applications
(e.g. monitoring, fisheries)
• Influence (inter)national programmes
(e.g. GMES, ICES, GOOS, ARGO, ESA, NASA)
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Topic 1
Evaluation of the impacts of physical data assimilation on biogeochemistry
(Tony Lee)
Issue
The degradation of surface chl concentration or CO2 flux by sequential
data assimilation products, most notably in the tropical Pacific.
(Galen McKinley, 2002)
Kalman filter estimate
CO2 during ENSO
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Surface chlorophyll (May 2008 mean)
Observations NoAsm PhysAsm mg/m3 1 0 1 0 1 0
mg/m3 mg/m3
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Surface nitrate (December 2008 mean)
Climatology mmolN/m3 30 0 30 0
NoAsm PhysAsm
30 0 mmolN/m3 mmolN/m3
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Nitrate (cross-section at equator)
(December 2008 mean)
Climatology NoAsm PhysAsm
500m
0m
250m
500m
0m
250m
Atlantic Indian Pacific Atlantic Indian Pacific Atlantic Indian Pacific
40 0 40 0 40 0 mmolN/m3 mmolN/m3 mmolN/m3
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
• Analyze vertical flux in selected sequential assimilation products to examine the nature
of the spurious vertical flux.
• Determine if spurious vertical flux is related to vertical velocity, vertical mixing, or both.
• Examine if the “spuriousness” is due to spatial and temporal noise.
• Identify potential commonality for the regions where spurious vertical flux and
degradation of biogeochemical variables are found.
• Investigate similarity in the nature of spurious vertical flux among different sequential
assimilation products;
• Contrast the vertical flux resulted from smoother-type assimilation different from those
resulted from sequential assimilation using the same model to gain insight;
• Explore a “work-around” solution such as post-processing of vertical velocity and/or
vertical diffusivity that may alleviate the spurious vertical flux and degradation of
biogeochemical variables.
The work plan
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Various experimental designs: Smoother
(Galen McKinley, 2002)
CO2 flux during ENSO inferred from a Kalman filter estimation
(physically inconsistent) is unrealistically large (left), but that based on
Kalman filter-smoother (physically consistent) is reasonable (right).
Kalman filter estimate Kalman-filter/smoother estimate
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Difference of std. dev. of vertical velocity
between a Kalman Filter and Kalman Filter/RTS
smoother runs
Larger variability of W (by ~ 10%) in the KF run in
the trop. Pac. where degradation of CO2 flux is
found
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Creating instabilities
• The theory:
– Adding the temperature and salinity
increments to the background field results in
an unstable density field
– Density profiles show inversions
– This results in vertical mixing as the model
makes the water column stable again
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Locations of density inversions at 66m depth
during December 2008
Inversion created No inversion created
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Divergence damping
nnn vavv 2
1
• A correction is applied iteratively to the horizontal velocity
field (or increments):
• v = velocity field/increments, a = coefficient of viscosity
• This filters the divergent part of the field, leaving the
rotational part unchanged
• A version has been implemented in NEMO, based on
Dobricic et al., Ocean Science, 2007
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
No damping minus damping
Jan 2007 mean W – 104m
-5x10-6 ms-1 5x10-6 ms-1
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Equatorial cross-section
Jan 2007 mean W
No assim No damping Damping -5x10-5 ms-1 5x10-5 ms-1
Atlantic Indian Pacific Atlantic Indian Pacific Atlantic Indian Pacific
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Topic 2
Assessing the impact of biological data assimilation on biogeochemical models
(Richard Matear)
• Biological data assimilation techniques differ amongst operational
systems.
• Inter-comparison of the quality of biogeochemical fields of
GODAE OceanView models.
e.g. pCO2, air-sea fluxes, primary production, zooplankton
biomass in the North Atlantic.
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Topic 3
Champion the exploitation of OO products in “real world” applications
(Rosa Barciela)
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Transport & currents
Salinity
Primary Production
Zooplankton
Mesoscale features
Chlorophyll
Nutrients
Oxygen
Ichthyoplankton transport
Timing of algal blooms
Light & suspended matter
Turbulence
CO2/pH
Pollution dispersion
Ice cover
Wave Height
Bed stress
Temperature
Percentage of users requesting oceanographic products
0% 40% 20% 80% 60%
Monthly averages
> 90% historical data
Methodology
ASCII
Annual updates
Responses from marine scientists dealing with management of exploited species
and ecosystem management (Berx et al., 2010) – www.wgoofe.org
Champion the exploitation of OO products in “real world” applications
(Rosa Barciela)
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Topic 3
Champion the exploitation of OO products in “real world” applications
(Rosa Barciela)
Use of operational products to aid the
specific management of the tuna fishery Joint MEP-ICES activities - roadmap for
annual integrated fish stock assessment.
SEAPODYM
• a spatial ecosystem and population dynamics
model.
• Inter comparison of results when forced by
Mercator & FOAM fields
(Lehodey et al., 2010)
• ICES request to discuss provision of
products.
• Paper outlining operational products available
for IEA to be presented at WKBEMIA.
• Pilot project with HAWG & WKBEMIA (next
slide)
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Workshop on Benchmarking Integrated Ecosystem Assessments
(WKBEMIA), chaired by Steve Cadrin, USA, and Christian Möllmann, Germany
Aim:
Starting a process on how to Benchmark Integrated Ecosystem
Assessment (IEA) based on results in ongoing IEA Expert Groups;
a) Make a brief review on the various concepts of Integrated Ecosystem
Assessments including an evaluation of suitability to ICES needs in terms
Science and Advice;
b) Review the Integrated Ecosystem Assessments in the ongoing Regional
Expert Groups, with regards to methods, models and results;
c) Identify a common framework which will act as a guideline for Integrated
Ecosystem assessments performed in ICES;
d) Based on ToR c identify the need of supporting data, processes and
products.
WKBEMIA will report by 31 December 2012 (via SSGRSP) for the attention of
SCICOM.
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Topic 4
Biological Ocean Observing Systems
(Pierre Brasseur)
Objective
Specify essential sets of physical and biogeochemical observations required to
constrain “coupled” models + recommendations to further develop observing
systems
Tasks
• Identify 2/3 “good” test cases: global ocean, basins, coastal
• Identify reference data sets for model evaluation and/or assimilation
(GODAE metrics for Biogeochemistry ?)
• Modelling experiments (OSSEs) to improve sampling strategies for future deployments
(e.g. regional clusters of Bio-ARGO floats)
• Impact studies of satellite ocean colour satellite missions.
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
What ‘s next?
• Continue to good progress with work topics, in particular
1 and 3.
• Kick-off tasks in topics 2 and 4.
• Join up and report on bgc activities at national level.
• MEP TT meeting collocated with Liege Colloquium (PP
Colloquium), 13-17th May 2013
The variability of primary production in the ocean:
from the synoptic to the global scale
• White paper:
What are the key scientific questions?
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Feedback from GODAE TT meeting on
Monday
To note:
• Slim attendance: 6 attendees, including 2 co-chairs and 1
patron.
• Not much inter-sessional progress in some topics – good
progress in topics 1 and 3.
- TT work only kicked off 7 months ago, after workshop.
• Currently the group is heavily dominated by European
presence.
• Is the MEP achieving things that would not have happened
otherwise?
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Summary
• Good progress made so far.
• Focus on specific topics with detailed work plans
seems to be working well (topics 1 and 3).
• TT plans to meet in May 2013, taking the opportunity
to tap into the Liege Colloquium dedicated to primary
production.
Marine Ecosystem Analysis & Prediction Task Team, Rio de Janeiro, 5-9th November 2012
Thank you!