COASTAL OBSERVING AND FORECASTING COASTAL OBSERVING AND FORECASTING SYSTEMS IN GERMAN BIGHT AND WESTERN SYSTEMS IN GERMAN BIGHT AND WESTERN

BLACK SEA:BLACK SEA:PRESENT STATUS AND PERSPECTIVESPRESENT STATUS AND PERSPECTIVES

WORKSHOP ON THE STATUS OF EUROPEAN COASTAL OBSERVING AND FORECASTING SYSTEMS22nd to 24th October 2007, Hotel Formentor, Majorca

E. V. Stanev, A. Palazov, J. Staneva, T. Badewien, R. Kandilarov, S. Grayek, G. Flöser

OutlineOutline

•IntroductionIntroduction

•Part I: German BightPart I: German Bight

•Part II: Western Black SeaPart II: Western Black Sea

•Part III: PerspectivesPart III: Perspectives

Integration of Coastal Observations and Forecasting

Networks

Is information from coastal stations used efficiently?

Put individual „pieces“ together.

Use modelling to optimise the integration.

Integrated Coastal ObservationNetwork (ICON)

ICON, MARNET (BSH), Ocean Monitoring Systems(OMS) and Data station of University of Oldenburg

Stations in Wadden Sea

• Now state of the art

ICBM

GKSS

GKSS

GKSS

ICBM station: http://las.physik.uni-oldenburg.de/wattstation/

Air (black line) and sea surface (green line) temperature (deg. C),(b) surface salinity (psu).

tidally induced and (sometimes) human-controlled variability Actual data (17.10.07)

ADCP data

Real–time

Wadden Sea

200 m

3 nm

6 nm

1 km

Alternative:Operational model of theGerman Federal Maritime and Hydrographic AgencyBSH

GETM: flooding and dryingGETM: flooding and drying

One-way nested models (GETM)One-way nested models (GETM)

GKSS-ADCP data versus simulated data

Stanev et al. (2003a, OD)

Model validation

German Bight (BSH data) Wadden Sea (U_Ol data)

MERIS TSM-300 m Data and MERIS TSM-300 m Data and numerical model simulationsnumerical model simulations

19 Feb 200519 Feb 20059 Sep 20049 Sep 2004

Gemein et al. (2006)

Further perspectives

COSYNA (Coastal Observation System for Northern and Arctic Seas )

enable a future long term observational network for the North Sea and Arctic coastal waters

link to preoperational models for scientific and monitoring purposes

Goals: consolidate existing systems,

develop new ones,

detect environmental and climate changes in coastal areas,

produce forecasts,

provide products and knowledge.

However, at the present

• The existing systems are not harmonised. • Quality assessment is still a problem. • Real-time data transfer and exchange, as well

as availability to modellers is not well solved. • Assimilation of various sources of near coastal

data is still a complex scientific problem. • No enough coherence between physical,

chemical, geological and biological data.

Western Black Sea

What do we know about the Black Sea

-huge estuary,-strong stratification and bad vertical ventilation,-combination of deep ocean and large shelf,-highly eutrophic basin, ...

DieCAST simulation

MOMDieCASTHOPSPOPNCOM1

POMGHER

GETM, ROMS, TOMS, NCOM2, OPA, z+POLCOMS

MICOM

HYCOM (z++)

NLOM

HIM

OPYC

H

Most of freely available models have been used.

Open Ocean Forcing: Black Sea NEMO

Horizontal resolution: 1/12°Vertical grid: hyperbolic tangent stretching function, 31 levels Atmospheric forcing: Bulk formula parametrisationAssimilation: Altimeter data-Cooper and HeinesRich physical parameterizations

... and now: NEMO

www.bgodc.io-bas.bg

A local portal for national and international data exchange.

Objectives: acquire the marine data sampled by Bulgarian Institutes and Agencies

promote data exchange on national and international level

Promote monitoring of the Black Sea.

Bulgarian National Oceanographic Data Centre (BGODC)

Data Station

Comparison between atmospheric analysis data and direct observations at data station

Comparison of

Direct and Altimeter Data

Direct and Model Data (effect of wind)

Further plans

• Develop efficient nested models• Increase the representativeness of

forecasts

Supporting slides

Scientific background, state-of-the-art

• Focus: the North Sea, and in particular the area of German Bight and Wadden Sea

• already existing operational or near future operational systems and stations of GKSS and KDM partners

• COSYNA will deliver the spatial representation through a chain of reference points (RP) with long term observations

• mobile measuring techniques, such as autonomous underwater vehicles (AUVs, gliders) or ship surveys

• offshore wind turbines (WEAs) as platforms for RPs • (FerryBox) will be continued and extended regarding the number of

parameters

• The facility is composed of the following elements. – Measuring platform inside the Wadden Sea– Measuring platform directly offshore Wadden Sea– Basic sensor units for stationary research stations or existing

offshore platforms (WEAs)– FerryBox systems– Sensor systems for atmospheric-surface water gas exchange– Lander systems for sediment water exchange– Autonomous underwater vehicles, gliders– Hard- and software for data processing, data storage, modelling

and visualisation– Feasibility study

• The partners within this programme are: • AWI- Bremerhaven and Potsdam: Long term observation station Helgoland, joint use in

North Sea and arctic waters• ICBM, University Oldenburg: Long term station Wadden Sea (Spiekeroog), joint effort

in construction of offshore nearby coastal station;• Geosciences Department , University of Hamburg: benthic nutrient exchange, fluxes of

matter in sediment-water and water –atmosphere exchange;• FTZ-Büsum: technical tests of components in Wadden Sea and German Bight, links to

OMS project; potential user of sensor applications in pilot mariculture installation;• IfM-GEOMAR Kiel: Sensor applications for geochemical parameters; joint experiments

with data quality and representative parameter values;• MARUM/RCOM, University Bremen: Planing, testing and application of under water

stations and underwater vehicles;• IOW-Warnemünde: Measurements on water-sediment interface and water-atmosphere

boundary layers with emphasis on CO2 exchange;• Raytheon GmbH, Kiel: data management systems, linkage to OMS project;