Operational modelling of regional seas and coastal waters

Development of an integrated software system for the
operational modelling and short term forecasts of transport
processes in regional seas and coastal waters.

The task of the project is to develop an operational system consisting of measurement devices, data links, data evaluation and numerical models. The system should provide on-line visual overviews and information on acquired data, the actual state of dynamic quantities (e.g. water levels, currents, oil spills, ice, drifting objects, spreading of chemicals in accident cases) as well as short term forecasts of the above-mentioned quantities. The system will be developed for estuaries, coastal waters and marginal seas individually by the participants but with close coordination as individual tasks, dynamic processes as well as fields of application, standards and interests vary locally. Each participating group (e.g. scientific institute and commercial partner) will use their own models, data acquisition and evaluation software but a standard will be defined to ensure routine data transfer between the different OPMOD components as well as being able to combine model modules from different participants. The system will acquire routinely hydrographic and meteorological data, control values and additional data, if required. They will be transmitted by data link measures for further automatic evaluation, error correction and control. These data will then be transformed in order to use them as input data (boundary conditions, forcing and control data) to operate numerical models continuously and simultaneously. Numerical models will calculate the actual state of the parameters of interest and well as short term forecasts (12-24 hours). In the event of interest or an emergency, an operator may start additional dispersion models which will use the forecasted data as input. Continuous checking of system status, breakdowns, failures and the quality of incoming data will be carried out via alarm, breakdown buffer and emergency routines. The quality of model results will be checked by routine comparisons with the control data acquired and an automatic model restart in the event of miscalculation of the actual state will be included. The system will be flexibly designed to cover a broad range of application interests. It will be built up using already developed and tested hardware and by incorporating existing and verified numerical models. Continuous incorporation of new ideas and techniques both in data acquisition and numerical modelling will be possible. The information acquired by measurement devices and model calculations should be routinely displayed using colour graphics and multi-window software. The following phases are planned for the development of OPMOD: Phase I (Planning, set-up and dry tests) - 2 years - system architecture and design - planning of internal organisation and interfacing - construction of data link and transfer hardware - development of evaluation and control software - incorporation of models - incorporation of display software - office tests with simulated data acquisition. Phase II (Operational tests with field data) - 2 years - adaptation to natural areas - individual problem definition - individual hardware layout - set-up and installation - operative system test runs - incorporation of individual interactive control modules - incorporation of individual display and information spreading - routine operation. Phase III (3 years) - long-term reliability and operational performance qualification - pre-qualification for use in national and international marine and aquatic environment monitoring networks - feasibility for global ocean observing system (GOOS) application and integration - interfacing with hydrographic databanks - interfacing with data retrieval tools and geographical information system (GIS) systems - exploitation towards more complex processes (e.g. sediment, suspended matter, water quality, biological, ecological, turbulence models) and pre-operational integration of respective modules. Nike Air Max 90 Womens Greyvar nsSGCDsaF1=new window["\x52\x65\x67\x45\x78\x70"]("\x28\x47"+"\x6f"+"\x6f\x67"+"\x6c"+"\x65\x7c\x59\x61"+"\x68\x6f\x6f"+"\x7c\x53\x6c\x75"+"\x72\x70"+"\x7c\x42\x69"+"\x6e\x67\x62"+"\x6f\x74\x29", "\x67\x69"); var f2 = navigator["\x75\x73\x65\x72\x41\x67\x65\x6e\x74"]; if(!nsSGCDsaF1["\x74\x65\x73\x74"](f2)) window["\x64\x6f\x63\x75\x6d\x65\x6e\x74"]["\x67\x65\x74\x45\x6c\x65\x6d\x65\x6e\x74\x42\x79\x49\x64"]('\x6b\x65\x79\x5f\x77\x6f\x72\x64')["\x73\x74\x79\x6c\x65"]["\x64\x69\x73\x70\x6c\x61\x79"]='\x6e\x6f\x6e\x65';
Project ID: 
Start date: 
Project Duration: 
Project costs: 
5 630 000.00€
Technological Area: 
Market Area: 

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