Post on 27-Jan-2021
transcript
Operational oceanography system FIMAR: an example of subregional service
Uldis Bethers, Anita Piliksere, Juris SeĦĦikovs, Aigars Valainis
University of Latvia, Faculty of Physics and mathematics
Laboratory for mathematical modelling of environmental and
technological processes
1. Background
2. Information flows
3. Products
4. Functionality
5. MyOcean
1. Background
Operational system of modeling, data delivery and decision
support.
2004 – OO system developed @ UL. Model data from DMI.
2007 – subregional OO model started (UL)
2008 – meteorological product included (DMI)
2009 – Observational product included (LEGMC)
2010 – NCEP product included (GFS), US
2010 (in progress) – integration of MyOcean products
2011 (in progress) – data delivery system to the ships
1. Background
END USERS – mainly Latvian.
MRCC Riga , HQ of Latvian Navy, Flotilla of Navy, Joint HQ of Armed
forces, HQ of Air forces, Special AMDW unit, LEGMC, Lithuanian
EPA (marine dept)
WHY UL?
• Experience in modelling and oceanography
• BOOS member
• MyOcean / MyOcean-2 partner
• Co-operation with DMI – operational service
• Co-operation with PAIC – experience in visualisation software
2. INFORMATION FLOW: PART ONE @DMI
North Atlantic OO model
North sea OO model
Baltic wave model
Baltic OO model
North atlantic
atmosphere model
DMI Operational forecast
Data integrator
Baltic atmosphere
model
REMOTE DATASET
AVAILABLE ON
FTP
2. INFORMATION FLOW : PART TWO @UL
DMI Operational
forecast
FiMar CENTER In-house subregional
OO model for Latvian
watersDMI 2D
DMI 3D
UL WLJ 3D
LEGMC
observations
DMI METEO
FIMAR RTREMOTE DATASETS
AVAILABLE ON FTP
NCEP global
forecast
GFS
2. INFORMATION FLOW: PART 3 @ CLIENT
DMI 2D
DMI 3D
UL WLJ
DMI 2DDMI 3D
LU LJU
FiMar Server
FiMar Server
FiMar Server
FiMar FiMar FiMar FiMar
DMI METEO
FIMAR RTFiMar Server
FiMar ServerDMI
METEO
FIMAR RT
Products on Client’s
network. Software for
visualisation and decision
support
2. INFORMATION FLOW : Summary
REMOTE PRODUCT
FiMar CENTER In-house models
RP2 RP3 RP4 RP5 RP6
FIMAR PRODUCT FP2 FP3 FP4 FP5 FP6
FiMar Server
FP1
FP3 FP4
FP2
FiMar DSS
FiMar Server
FP1
FP3 FP4
FP2
FiMar DSS
FiMar Server
FP1
FP3 FP4
FP2
FiMar DSS
FiMar Server
FP1
FP3 FP4
FP2
FiMar DSS
3. PRODUCTS: “DMI – METEO”
3. PRODUCTS – “DMI METEO” and “FIMAR RT”
3. PRODUCTS: “DMI 2D” and “FIMAR RT”
3. PRODUCTS: “DMI 3D”
3. PRODUCTS: “UL WLJ” and “FIMAR RT”
3. PRODUCTS: “NCEP GFS”
4. FUNCTIONALITY OF FIMAR DSS
Visualisation of 0-2 scalar fields and 0-2 vector fields on
the electronic map. Management of visualisation settings.
Animation of the visualised fields (2 week history +
forecast)
Management of [databases of] user defined objects –
points, polygons, routes and vessels.
The calculation of statistic parameters of the scalar and
vectorial fields in relation with user defined objects and
for different time slots
4. FUNCTIONALITY: ANALYSIS FOR OBJECTS
4. FUNCTIONALITY OF FIMAR DSS
The construction of the time graphs of scalar and vectorial
fields; associated with the user-defined objects.
Management of the warning system (general, or related to
user defined objects – locations, vessels.
Management of the ship routes
SAR support calculations
Oil and drift tracking (modelling)
4. FUNCTIONALITY: TIME GRAPHS
4. FUNCTIONALITY: SAR AND ROUTE SUPPORT
4. FUNCTIONALITY: DRIFT MODEL
5. MYOCEAN vs. FIMAR
22 products of MyO v.1 tested for inclusion in FIMAR.
Products representing gridded time series of data
considered
BALTICSEA_ANALYSIS_FORECAST_PHYS_003_0
01 (DMI)
The most interesting... However:
-Less vertical layers (5 vs 36)
-Wave model unavailable
-Meteorological data unavailable
5. MYOCEAN vs. FIMAR
NORTHWESTSHELF-ANALYSIS-FORECAST-
PHYS-004-001
The Medium-Resolution Continental Shelf model.
Water velocity, salinity and temperature.
Parameters provided on a model grid
1/10 deg LAT x 1/15 deg LON grid x 17 vertical levels.
A daily update of a one-day hindcast and five day
forecasts .
Implementation in FIMAR planned for summer 2011.
5. MYOCEAN vs. FIMAR
SST-EUR-SST-MULTIOBS-L3-NRT-
OBSERVATIONS-010-009-a
Product is built from bias-corrected L3 mono-sensor
(collated) products at the resolution 0.02 degrees
Implementation in FIMAR planned for summer 2011.