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.