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Meteo-GRID: World-wide Local Weather Forecasts by GRID Computing

Explore the revolutionary Meteo-GRID system for real-time weather forecasts, powered by cutting-edge GRID computing technology. Harnessing advanced computational models, Meteo-GRID provides detailed and accurate weather predictions on demand for any region globally, catering to meteorological services, corporations, and individuals. Experience the seamless integration of high-performance computing resources, enabling access to precise weather data when you need it most.

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Meteo-GRID: World-wide Local Weather Forecasts by GRID Computing

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  1. Meteo-GRID: World-wide Local Weather Forecasts by GRID Computing Claus-Jürgen Lenz, Detlev Majewski Deutscher Wetterdienst PO Box 10 04 65 D - 63004 Offenbach am Main Germany e-mail: claus-juergen.lenz@dwd.de http://www.dwd.de C.-J. Lenz, D. Majewski, G.-R. Hoffmann

  2. Contents: - Introduction to EUROGRID and Meteo-GRID - Detailed Description of Meteo-GRID, computational requirements, status of work - Demonstration example

  3. Application Testbed for European GRID computing Volume: 33 person years, 2 Million Euro funding by European Commission Grant No. IST-1999-20247, Funding time: Nov. 2000 - Oct. 2003 www.eurogrid.org Pallas GmbHHermülheimer Straße 10D-50321 Brühl, Germanyinfo@pallas.comhttp://www.pallas.com Gesellschaft für Parallele Anwendungen und Systeme mbH

  4. Build a European GRID infrastructure that gives users a seamless, secure access to High Performance Computing resources and that advances computational science in Europe EUROGRID Vision

  5. - Integrate resources of leading European HPC centres into a European HPC GRID - Develop new software components for GRID computing - Demonstrate the Application Service Provider (ASP) model for HPC access (‘HPC portal’) for different applications - Contribute to the international GRID development EUROGRID Goals

  6. Structure of the Work • Application GRIDs:application-specific interfaces, evaluation of GRID solutions • Bio-GRID • Meteo-GRID • CAE-GRID • HPC GRID Infrastructure:connect HPC centers using UNICORE technology • Development and integration of new software components • Dissemination and exploitation

  7. European Testbed for GRID Applications • Meteo-GRID • Develop a relocatable version of DWD‘s weather prediction model • Goal: ‘Weather prediction-on-demand‘ as an ASP solution • Bio-GRID • Operate a GRID for biomolecular simulations • Develop interfaces to existing biological andchemical codes • Technology Development • Build on the functionality of UNICORE • Extend UNICORE to provide the middleware necessary for the Domain specific GRIDs • Efficient data transfer • Resource brokerage • ASP services • Application coupling • Interactive access • HPC Research GRID • Demonstrate a European HPC GRID testbed • Develop new GRID applications • Enable sharing of competence and know-how • Agree on security standards, certification, access policies, ... • CAE-GRID • Coupled simulations of aircrafts • HPC portals for EADS engineers and for engineers at Daimler-Chrysler and partners • Develop GRID technology for computing cost estimates and billing

  8. EUROGRID Partners HPC Centres • CSCS Manno (CH) • FZ Jülich (D) • ICM Warsaw (PL) • IDRIS Paris (F) • Univ Bergen (N) • Univ Manchester (UK) Users • Deutscher Wetterdienst • EADS • T-Systems(Assistant Partner) Integration • Pallas (Project Coordinator) • Fecit (Assistant Partner)

  9. Goal of Meteo-GRID To provide high-resolution short range weather forecasts with the relocatable nonhydrostatic “Lokal-Modell” (LM) of DWD for any desired region in the world

  10. Meteo-GRID • Develop a relocatable version of DWD‘s weather prediction model • ‘Weather prediction-on-demand‘ as an ASP solution

  11. Meteo-GRID: Meteorological Portal Hoffmann (DWD)

  12. Meteo-GRID: Potential Users • Use by other meteorological services • Use by weather service providers • - commercial application • Use by individuals via Internet • - weather forecast on demand • Use by individuals via Mobile Telephones • - WAP services Hoffmann (DWD)

  13. What´s special about Meteo-GRID ? (1) - Real-time weather forecasting is a time-critical task, a 48-h forecast must be completed in less than 60 minutes - LM is a large MPP code of about 100.000 lines of code, Fortran95, MPI for message passing - Weather forecasting is computationally expensive ~ 4000 Flop/grid point and time step ~ 15 Tflop for a 48-h forecast (160 x 160 x 35 grid points, grid resolution ~ 7 km) ~ 3000 sec at a sustained speed of 5 Gflop/s

  14. CPU requirements of LM

  15. What´s special about Meteo-GRID ? (2) - Weather forecasting requires high band width for data transfer Forecast data (at hourly intervals): (48+1) x 20 Mbyte = 1 GByte Transfer in less than 1 hour: 2.4 Mbit/sec - “Weather” has large social and economic impact worldwide (storms, floodings, snow, freezing rain ...)

  16. Damages following cyclone Lothar in southwestern Germany (26 Dec 1999)

  17. Flood at Vistula river, summer 2001 Coastal storm at Hamburg and at the North Sea Blizzard in New York

  18. Tasks of Meteo-GRID (1) Selection of - model domain, - grid resolution, - forecast date, - forecast range and - forecast products using a Graphical User Interface (GUI)

  19. Meteo-GRID GUI (1) Nellari, Ballabio (CSCS Manno)

  20. Meteo-GRID GUI (2) Nellari, Ballabio (CSCS Manno)

  21. Tasks of Meteo-GRID (2) Derivation of topographical data for the selected model domain from high-resolution (1 km x 1 km) data sets (GIS) at DWD

  22. Examples for TOPO applications (1)

  23. Examples for TOPO applications (2) water peat clay loamy clay loam loamy sand sand rock, concrete ice, glacier undefined

  24. Examples for TOPO applications (3)

  25. Tasks of Meteo-GRID (3) Derivation of - an initial data set and - lateral boundary data sets for LM from data of the global model GME of DWD (Oracle data base)

  26. GME model grid and LM domain

  27. Tasks of Meteo-GRID (4) - LM forecast run is performed on any supercomputer available in EUROGRID using UNICORE technology - Forecast data (GRIB code) are returned to the user via UNICORE and the Internet OR . . .

  28. Tasks of Meteo-GRID (5) OR . . . - Visualization of LM forecasts ( 1 to 5 dimensional graphics) on the HP Computer and subsequent - Return of image files to the user via UNICORE and the Internet - Verification and validation of LM forecasts for any region worldwide

  29. domain corners, resolution Topographical data set (1 - 5 MByte) DWD Information and data flow in Meteo-GRID (1) 1. Set up of LM-domain User Global topographical data set (GIS), ~ 7 GByte Calculation at DWD on SGI Origin O 2000 or IBM RS/6000 SP (5 - 30 min wallclock time) GUI: Selection of - domain corners - grid resolution - forecast date - forecast range - forecast products

  30. DWD date (actual, past) Hourly initial and lateral boundary data sets on GME grid (~ 50 MByte) Information and data flow in Meteo-GRID (2) 2. Define forecast date and range User GME data base (Oracle) Extraction of GME results covering the LM domain at DWD (SGI Origin O 2000 or IBM RS/6000 SP)

  31. DWD Initial and hourly lateral boundary data sets on LM grid (1 - 20 GByte) Information and data flow in Meteo-GRID (3) 3.Perform LM-forecast on EUROGRID HPC and send forecast data to user User HPC GME2LM interpolation of GME results to LM grid 1 - 5 MByte Topographical data set ~50 MByte Initial and lateral boundary data sets on GME grid LM-forecast data visualisation 1 - 20 GByte LM calculation of weather forecast

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