Ocean Forecasting in MOON and Meteorological
Forecasting activities
workshop
Working Group 2
R&D issues and Integrated applications.
Partecipants:
G. Kallos
L. Torrisi
P. Oddo
IASA
CNMCA
INGV
D. Pettenuzzo
J. Poitevin
L. Cavaleri
A. Drago
M. Capaldo
R. Goldam
V. Malacic
S. Sofianos
R. Sorgente
A. Teruzzi
J. Jerman
INGV
Meteo France
CNR – ISMAR
IOI-MOC
USAM
IOLR
NIB
UoA
CNR-IAMC
OGS
EARS
Main question:
“What are the next steps that the joint atm-oce community needs to do in order to improve
single components results (improve models skills)?”
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Understand how to couple the different systems (atmospheric oceanographic
biogeochemical and land) one-way toward tight and more effective coupling. This will
require a very well organized common effort.
Sarantis suggests the group takes the name of MOON-TC (Mediterranean Operational
Oceanography Network Toward Coupling); RD department of MOON.
Definition of the new products. What will be the contribution of MOON RD to the MCSs.
Definition of new products from next generation of satellite needed by the MOON-TC
community. Is it possible to have satellite dedicated products for the LAM?
Involve hydrological modeling community (rivers and fresh water sources forecast). This
will benefit the whole community because better runoff estimates improve ocean forecast ->
atm forecast -> improve precipitation -> improve hydrological modeling. EJRC ISPRA.
Oceanographers can validate atmospheric models, and vice versa (for the hydrodinamical
part sea surface temperature). Preliminary experiments have to be carried out by the
Atmospheric Modeling community where the SST prognosticated by the ocean models is
used as boundary condition (this will be a feedback to the ocean community).
Improve the data network. Observational and model (both atmospheric and ocean) data and
codes sharing. Disseminate using GTS facilities.
Enlarge MOON community involving non-EU countries.
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Interoperability, define common formats for model and observational derived data-sets
(reduce costs). (NetCDF, grib, bufr, hdf ). Transfer protocols. Share converters.
Development of web-services, GIS based and take a look to the ongoing developments.
Every oceanographic center should enhance interaction with National Met-Offices and
meteorologists and vice-cersa. ( prompt info exchange aboyt changes and modifications)
Share this discussion with larger groups (open meeting with hydrodinamical community and
turbulence experts).
Priority has to be given to the Coupling Issue (to improve forecasting activities).
The community agrees that the problem has to be addressed step-by-step, considering separately the
single components of the exchange process (between atmosphere and ocean and vice-versa). Before
to implement a two-ways coupled system we need to improve the quality of the present coupling
(one-way).
The main coupling issues to be investigated are:
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wave induced momentum and energy fluxes.
heat exchange under different wave conditions.
wave effect in the mixed layer depth.
latent and sensible heat fluxes from atm model.
short and long wave radiation (penetration in both ocean and atmosphere, single
components, suspended matter).
albedo under different sea state conditions.
surface stress, momentum (CD drag coefficient).
Sea surface Salinity as Bottom Boundary Condition for the atm. Models.
Gasses crossing the interface (DMS-Dimetil-Solfate, Co2, )
For a scientific assessment observational data sets are needed to evaluate all products.
Toward coupling we try to improve the physics of the exchange which will be validated and tested
with available observations.
Particular attention, once a two-way coupled system has been set-up, should be given to the Dataassimilation in directly coupled systems. Avoid propagation of shocks, that are due to the
assimilation and not to physical processes. E.g assimilating at the sea surface will cause an abrupt
change in the surface fluxes.
Open Questions:
- Do we need a coupler? (Like OASIS)
- Oceanographer need small scale features (Coastal processes). But predictability time-scale is
5 days for the LAM.
- Is the ensemble the right way to improve atm. Forecast? There are several atm model
running but the evaluation of the member should be carried out by local experrt.
- we can have several models but we have to create a simple downstream products?
- Have regional modelling consortiums, inter-comparison experiment to converge. MARS,
OPA (NEMO), ROMS, POM.
- identify common problems (atm oce).