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Yassine LASSOUED & Ali Al Othman Coastal and Marine Resources Centre University College Cork Ireland. WAM Progress Report 2. WAM = Global ocean Wave prediction Model Field: Earth Sciences (Marine) Objective:
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Yassine LASSOUED & Ali Al Othman Coastal and Marine Resources Centre University College Cork Ireland WAMProgress Report 2
Itacuruçá , First EELA-2 Grid School, 13.11.2008 WAM = Global ocean Wave prediction Model Field: Earth Sciences (Marine) Objective: forecast wave conditions around Ireland on a fine resolution, using high resolution winds obtained as boundary conditions from Met Eireann, for the periods 2020-2030 and 2050-2060 Resolution: 5 km (Met Eireann: 25 km) Application: WAM
Itacuruçá , First EELA-2 Grid School, 13.11.2008 Input Data: Bathymetry 160 KB High Resolution Wind Fields 60 MB per file 1 file per month 100 years Total size: 72 GB Wave Boundary Conditions 50 MB per file 2 files per day 100 years Total size: 3.6 TB Difficulties
Itacuruçá , First EELA-2 Grid School, 13.11.2008 Code: Directory structure needs to be transferred to the working node Size: 5 MB\ Input data specified in configuration files Execution time: 6-7 hours for 1 month Difficulties
Itacuruçá , First EELA-2 Grid School, 13.11.2008 Define workflow and strategy for optimised job submission (data size problem) Test compilation and execution on UI Pack and compress source code and data into separate TARGZ files Upload data onto the storage element (lcg) Write scripts for execution on Grid Write JDL Test job submission Use AMGA for optimising executions Problems! Done
Itacuruçá , First EELA-2 Grid School, 13.11.2008 Develop a user interface for job submissions Next Steps
Yassine LASSOUED CMRC, UCC (Ireland) y.lassoued@ucc.ie +353 21 470 31 03 Skype: yassine.lassoued Thank You Jeremy GAULT CMRC, UCC (Ireland) j.gault@ucc.ie +353 21 470 31 00