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SCIENCE, the first MyOcean pillar: current and next R&D...
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Transcript of SCIENCE, the first MyOcean pillar: current and next R&D...
SCIENCE, the first MyOcean pillar:
current and next R&D drivers
P. Brasseur, CNRS, MyOcean-2 R&D
MyOcean2 UW2014 – Lisbon – 19th June
In this talk …
• The 4 « Grand Scientific Challenges » for MyOcean, as defined in 2010 (MyOcean Science Days 2010) – Seamless modelling from open ocean to regional seas
– Model/observations intertwining
– Coupling with sea-ice, rivers, atmosphere (waves) and biology
– Verifying, validating and estimating uncertainties on products
• Status and evolution of these R&D drivers in 2014
• A vision to be shared for +2020: first elements
• MyOcean Science Days 2014: an Open Science Conference on Operational Oceanography to « reshape » these drivers
Scientific foresight exercices :
inputs to build the post-2020 vision
• GODAE OceanView international conference, Baltimore 2013 (proceedings to be pulished in a special issue of Operational Oceanography)
• EuroGOOS SAWG white paper, to be revised in 2014
• 2014 NEMO white paper, final version to be published soon
• MyOcean-2 R&D internal scientific review
• CNES 2014-2020 space science conference, La Rochelle 2014
• French scientific prospective on operational oceanography (http://www.mercator-ocean.fr/science/gmmc/Prospective-Oceanographie-Operationnelle)
• …
• Output of this UW2014
• MyOcean Science Days 2014
… the good time for users to raise new R&D needs and piorities!
• 2010 vision: toward a unified modelling approach for ocean essential state variables in global ocean and regional seas
• 2014 status: NEMO adopted as the reference core modelling framework in most regions
Grand challenge # 1
Seamless modelling from open ocean to regional seas
Physical Ocean Modelling
2013 development plan, still up-to-date
• 2010 vision: toward a unified modelling approach for ocean essential state variables in global ocean and regional seas
• 2014 status: NEMO adopted as the reference core modelling framework in most regions
• 2020 target: NEMO consortium white paper, a projection of state-of-the-art modelling platform for the next 10 years, consistent with OO for global, regional and coastal needs a) Compliance with massively parallel computing architectures
b) Target effective resolution in the kilometric range
c) Strategy for assimilation, BGC and sea-ice modelling to be pursued
d) Multi-scale capability based on AGRIF
Grand challenge # 1
Seamless modelling from open ocean to regional seas
Exemple of regional dowscaling: the
Solomon sea at 1/36°
Sub-mesoscale resolving + vertical fluxes
• Downscaling techniques well mastered (one-way regional + two-way nesting)
• Tools available: AGRIF • Can be routinely implemented in regions
of interest, e.g. for Rapid Environmental Assessment needs
Djath et al., 2014
GLObal 1/12° system, no tides
IBI 1/36° system, incl. tides
Effective today: downscaling/embedding
Upscaling/downscaling issues: - different space/time resolution
- different resolved physics
- different atmospheric forcing
GLObal 1/12° system, no tides
NATL 1/128° system, incl. tides: technical benchmark planning in
progress
Feasible tomorrow: ocean basin at km res.
Feasible because - ocean model codes will enable effective km resolution
- massive parallel architectures will be available
- data will become available at very high spatial (SWOT) and
temporal resolution (GEO orbits)
SWOT +2020 GeoOCAPI 250
… users to expect products at much higher resolution (space-time) in the future
• 2010 vision: First principle of operational oceanography = combination of satellite/in situ data with models to deliver products
• 2014 status: The MyOcean systems are in place, assimilating an increasing amount of conventional data
• 2020 target: preparing the assimilation of new data times from space (SWOT, geostationary orbit missions, ocean colour, images) and in situ (gliders, coastal radars, new sensors etc.) that will be available within 5-7 years, synergy needed with space agencies (long-term) strategies
Grand challenge # 2
Model - observations intertwining
Which data assimilated in MyOcean
v4 version
(More details in a report by Crosnier 2014)
Impact of SWOT assimilation in IBI using
OSSEs based on SAM-2
SSH From NR(IBI36) : 09-14/03/2009
(5day-Assimilation window) J2; J1n; En Swot
SLA Score Along Jason2 tracks : FreeSim OSSE1 OSSE2
5930
Benkiran et al., 2014
Two types of orbits for Earth observation satellites, polar orbiting and geostationary. Polar-orbiting satellites
typically operate at an altitude of around 800 km, with a revisit time of 2-3 days, whereas geostationary
satellites operate in time scales of hours, which could theoretically provide data on the diurnal variation in
phytoplankton abundance and productivity.
Geostationary - GOCI Polar-orbiting
Ocean colour missions: present and future
Use of ocean colour combined with altimetry to refine horizontal circulation estimates at eddy scales
Gaultier et al., 2013 … new breakthrough in DA required to
benefit from future data types
• 2010 vision: toward a “marine system” approach, connecting or interfacing the liquid ocean with other relevant components
• 2014 status: good connections established with marine ecosystems/biogeochemistry and atmospheric communities, should be preserved
• 2020 target: consolidate the coupling and connect with new communities, e.g. hydrology and land experts
Grand challenge # 3 Coupling with sea-ice, rivers, atmosphere (waves) and biology
2014: MyOcean2 R&D WP connected to
4 (+1) external R&D projects
Science & Technology Evolution
WP 19
Leader: HZG
Scientific strategy definition
and planning
WP 19.1
Leader: HZG
NEMO developments and
applications
WP 19.2
Leader: HZG
Observations, data
assimilation and
uncertainties
WP 19.3
Leader: CNRS
Coupled forecasting
development
WP 19.4
Leader: UKMO
R&D monitoringLeader: HZG
Long-term sci.
Planning
Leader: HZG
Modelling & para-meterization
Leader: NERC
NEMO configurations
Baltic/Black Seas
Leader: HZG
Connecting open ocean
and regional seasLeader: MERCATOR
NEMO sustainable
development
Leader: CNRS
Enhancements (HFR data ass.)
Leader: HZG
Improved error
modelling
Leader: CMCC
Ensemble-based
analysis schemesLeader: CNRS
Assimilation of
satellite observations
Leader: CNRS
Global ocean-atmo-sphere initialisation
Leader: UKMO
Regional ocean-wave coupling
Leader: HZG
SANGOMA
New assimilation
techniques
MyWAVE
Ocean surface
waves modelling
OSS2015
Biogeochemical
products
OPEC
Biogeochemical &
ecological parameters
Tier 1 in MyOcean
Tier 2 in
external R&D projects (OPEC,
SANGOMA, MyWave, OSS2015)
Geostationary imager
Example of an observation system that could be developed at the mouth of large rivers, in order to study the export and fate of terrestrial particles in the coastal ocean. While classical satellite ocean color sensors only provide snap-shots, geostationary satellite measurements will provide repeated measurements to study the tidal processes involved. Field measurements, e.g. recorded by AUVs will provide data for calibration and validation of remote sensing products and also information about the vertical structures of the river plume (GeoOCAPI proposal).
Towards heterogeneous coastal ocean observing
systems, especially at the sea/land interface
Inputs from land / rivers: ad hoc
specification vs. realistic ?
E-HYPE, impact assessment done in MyOcean
… connection with land surface hydrology community (concerned with e.g. flooding and river discharges) not well established yet
• 2010 vision: To establish methods, standards and metrics for measuring the long-term progress in scientific quality and reliability of products
• 2014 status: Ensemble methods become more and more popular, with more systematic implementations to estimate and forecast uncertainty and assimilate data
• 2020 target: encourage, further develop and implement common protocols for intercomparison at international level, based on probabilistic modelling and objective approaches
Grand challenge # 4
Verifying, validating and estimating uncertainties
Today: « uncertainty » estimated from different
products (MyOcean + others)
Tomorrow: probabilistic forecasts and objective
verification methods
Ensemble spread of the eddy field (SSH) over the Gulf Stream
… uncertainty will be intrinsically represented in the products
Candille et al., 2014
Conclusions …
… at the MyOcean Science Days 2014
Venue: Toulouse, September 22-24, 2014
Objectives
To review the status and current progress of the MyOcean2 R&D activities
To enhance exchange of scientific information between MyOcean actors
To closer link the MyOcean R&D with national and other EU projects
To identify the baseline of the long-term scientific plan beyond MyOcean2
Format
Plenary sessions, invited review talks on key topics, and poster sessions
Closed meeting restricted to the MyOcean Scientific Advisory Committee
Planning
First Colloquium announcement: April 15th, 2014
Second Colloquium announcement and call for abstracts: May 15th, 2014
Abstract submission deadline: July 1st, 2014
… an opportunity for users to shape the future R&D drivers