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1 marine forecasting system – integrated modelling & web mapping Brendan Dollard Environmental Technologist CleanTech Enterprise Ireland

2 Development of automated predictive models of the Irish Sea and selected inshore regions Website will be developed to display the output from the models developed within PRISM. Website will be developed to allow end users to make “what if” calculations on environmental issues. Website will be developed to promote the tourism and leisure industries by providing forecasts of wind, sailing and surfing conditions. Objectives of the PRISM project

3 Overview of the System Provides easy to interpret map access to output from Irish Sea computer wave and hydrodynamic forecast models. Dynamically reads output from models that run on a daily basis and prepares these for web viewing. Allows model data animation - scroll through six hourly forecast. Graphing of detailed data at key locations. Provides a technology approach that is readily extendible to other models and applications.

4 Models in PRISM Irish Sea model – POLCOMS NE Atlantic model – ECOMSED Dublin Bay model – SWAN, DIVAST Forecast outputs: 48 hrs time period covered Hydrodynamic models Wave model PRO-WAM

5 Agreement between the measured (solid black curve) and simulated (dashed blue curve) Hs (m) at buoy M5.

6 Run Tide + Met 72 hrs Output Automation flow chart

7 Automation - overview Machine specification - 32 bit IBM XSERIES_255 server - operational system: LINUX - 8 processors Intel(R) Xeon(TM) MP CPU 3.00 GHz Timing - ~ 70 minutes for POLCOMS model (1 processor) - ~ 125 minutes for ECOMSED models (1 processor) - ~ 95 minutes for SWAN models run in parallel (6 processors) - ~ 25 minutes for DIVAST model (1 processor) - < 2 minutes for pre-processing - ~ 5 minutes for post-processing and uploading to ftp site

8 Process Diagram

9 System Elements Core elements are computational models, data pump application, map viewer, and associated website. Data Pump Viewer Forecast data Forecast data Map data Response Request

10 Outlines the steps in polling, download, parsing, loading, optimising of model data. Importantly this dynamically creates raster layers of the model results and optimises these for web display. Dynamic creation of wind vectors also is facilitated. Test for new files Download Unpacking Parsing Loading to database Deleting Sleep Data Pump Process

11 Data Pump Application Configurable and traceable process.

12 Data Pump Application Can run as a background process on same server, or other server.

13 Application architecture














27 ERIS – Gas cloud dispersal T+36hrs ERIS – Oil spill dispersal T+36hrs

28 Outcome A web based system useful in its own right. Capable of extension to other sea areas – computational models are already largely in place. System approach allows ready extension to other computational models (river, air, noise, transport). Delivered under a research project and now an operational system.

29 A better understanding of the environment through the use of computer models that will result in practical tools suitable for use in planning and management decisions. The results and tools that are being developed within the project have been placed on web pages that the public will be able to access. One aspect of the work will concern safety at sea and the education of the public to the dangers that are inherent in marine leisure activities. Benefits

30 The project was highly successful in its goals of developing ocean modelling expertise in both Ireland and Wales, in producing operational forecasts that can be viewed by the public via dedicated web pages, and in creating a networking environment that brought together a community of researchers and end users.

31 Accelerating the growth of Irish companies in world markets

32 Waste Management & Recycling Renewable Energy Energy Efficiency Water Services Driving competitiveness and growth in CleanTech Capitalise on emerging opportunities Focusing on areas of strong growth potential with existing capability…..

33 Financing Internationalisation Networks & Collaboration Early Reference sites Driving competitiveness and growth in CleanTech Sectoral Initiatives

34 Asia / Pacific Beijing Guangzhou Hong Kong Kuala Lumpur New Delhi Seoul Shanghai Singapore Sydney Tokyo Germany, Central and Eastern Europe, Russia and CIS Budapest Dusseldorf Moscow Prague Warsaw Southern Europe, Middle East and Africa, Latin America Dubai Madrid Mexico City Milan Riyadh Sao Paulo Northern Europe Amsterdam Brussels Glasgow London Paris Stockholm North America Boston New York Silicon Valley Toronto International Office Network (31 Offices)

35 Enterprise Ireland Funding Supports Funding to explore new ideas / new markets Funding for Start-up companies Growth Funding R&D Offer Government Stabilisation Fund Research

36 Enterprise Ireland’s offer to clients is both financial and non-financial. Enterprise Ireland works as a partner to support you to  Plan your strategy and development  Develop capabilities and skills  Access overseas markets and new technologies  Finance start-up, growth and innovation projects

37 Brendan Dollard – 01 727 2279 Email;

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