BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260716T080320Z UID:f8c00c27-e7d0-4ff3-ab5a-07c772c10682 DTSTART:20190416T073000Z DTEND:20190416T143000Z DESCRIPTION:Meteorological and climate modelling\n\n16 April 2019\n\nLearni ng Outcome\n\nAfter the course the participants should be able to efficien tly use WRF and other such applications for climate modelling or weather p rediction. They should be able to customise the application configuration files based on their needs and tune the model for most efficient performan ce.\n\nPrerequisites\n\nThe course addresses participants who are familiar with the C/C++/Fortran programming languages and have working experience with the Linux operating system and the use of the command line. Experienc e with parallel programming and background in Climate/Meteorological model ling is desirable. \n\nBring your own laptop in order to be able to partic ipate in the training hands on. Hands on work will be done in pairs so if you don’t have a laptop you might work with a colleague. \n\nCourse lang uage is English.\n\nRegistration\n\nThe maximum number of participants is 25. \n\nRegistrations will be evaluated on a first-come\, first-served bas is. GRNET is responsible for the selection of the participants on the basi s of the training requirements and the technical skills of the candidates. GRNET will also seek to guarantee the maximum possible geographical cove rage with the participation of candidates from many countries.\n\nVenue\n\ nGRNET headquarters\n\nAddress: 2nd  Floor\, 7\, Kifisias Av. GR 115 23 A thens\n\nInformation on how to reach GRNET headquarters ia available on GR NET website: https://grnet.gr/en/contact-us/  \n\nAccommodation options near GRNET can be found at: https://grnet.gr/wp-content/uploads/sites/13/2 015/11/Hotels-near-GRNET-en.pdf\n\nARIS - System Information\n\nARIS is th e name of the Greek supercomputer\, deployed and operated by GRNET (Greek Research and Technology Network) in Athens. ARIS consists of 532 computati onal nodes seperated in four “islands” as listed here:\n\n\n \n 426 th in nodes: Regular compute nodes without accelerator.\n \n \n 44 gpu nodes: “2 x NVIDIA Tesla k40m” accelerated nodes.\n \n \n 18 phi nodes: “2 x INTEL Xeon Phi 7120p” accelerated nodes.\n \n \n 44 fat nodes: Fat co mpute nodes have larger number of cores and memory per core than a thin no de.\n \n\n\nAll the nodes are connected via Infiniband network and share 2 PB GPFS storage.The infrastructure also has an IBM TS3500 library of maxim um storage capacity of about 6 PB. Access to the system is provided by two login nodes. \n\nAbout Tutors\n\nDr. Dellis (Male) holds a B.Sc. in Chemi stry (1990) and PhD in Computational Chemistry (1995) from the National an d Kapodistrian University of Athens\, Greece. He has extensive HPC and gri d computing experience. He was using HPC systems in computational chemistr y research projects on fz-juelich machines (2003-2005). He received an HPC -Europa grant on BSC (2009). In EGEE/EGI projects he acted as application support and VO software manager for SEE VO\, grid sites administrator (HG- 02\, GR-06)\, NGI_GRNET support staff (2008-2014). In PRACE 1IP/2IP/3IP/4I P/5IP he was involved in benchmarking tasks either as group member or as B CO (2010-2017). Currently he holds the position of “Senior HPC Applicati ons Support Engineer” at GRNET S.A. where he is responsible for activiti es related to user consultations\, porting\, optimization and running HPC applications at national and international resources.\n\nDr. Theodore M. G iannaros (male)\, born in 1982\, holds a PhD in Atmospheric Physics (Arist otle University of Thessaloniki\, 2013). In 2014\, he joined the National Observatory of Athens (NOA) where he currently acts as a post-doc research er. His research interests and expertise include numerical modeling focusi ng primarily on severe weather\, urban meteorology and climatology\, focus ing on the study of the urban heat island effect\, human biometeorology\, with emphasis on the evaluation of the thermal bioclimate\, and regional c limate modeling. He has published 22 papers in international peer-review s cientific journals. His citation report includes 225 citations and an h-in dex of 8. Dr. Giannaros has worked extensively with the WRF and MM5 meteor ological models\, and the RayMan micro-scale model. He is experienced in s everal programming and scripting languages (Fortran\, Python\, GDAL\, NCO\ , CDO\, Bash)\, and he is proficient in using geographic information syste ms (ArcGIS\, Quantum GIS).\n\nStergios Kartsios was born in 1987 and recei ved his B.Sc. in Physics and his M.Sc. in Meteorology and Climatology from the Aristotle University of Thessaloniki. He is a PhD candidate in the De partment of Meteorology and Climatology where he works as a research assis tant. He is using the Weather Research and Forecasting (WRF) model in a nu mber of applications such\, as an operational forecasting tool at his Depa rtment\, as a regional climate model in the framework of EURO-CORDEX from mesoscale to convective permitting simulations and as a research tool for very high-resolution simulations over Greece. He evaluates model performan ce against multiple surface observations\, radar and satellite data. He al so uses the WRF-SFIRE model to investigate atmosphere-fire interactions. H e has participated in three research programes and has 3 publications in p eer-review journals. He has also working experience as junior forecaster i n the private sector. Mr. Kartsios is experienced in a number of programmi ng languages and shell scripting\, while he was presenter and instractor i n a number of whorkshops and conferences.\n\nDr Aristeidis Sotiropoulos re ceived his BSc in Computer Science in 1998 from the University of Crete\, Greece and his PhD in Parallel Processing and Cluster Computing in 2004 fr om the National Technical University of Athens\, Greece. His interests mai nly focus on the fields of Large Scale Computing &\; Storage Systems\, System Software for Scalable High Speed Interconnects for Computer Cluster s and Advanced Microprocessor Architectures. He has published several scie ntific papers in international journals and conference proceedings. He has received the IEEE IPDPS 2001 best paper award for the paper "Minimizing C ompletion Time for Loop Tiling with Computation and Communication Overlapp ing". He has worked in several European and National R&\;D programs in the field of High Performance Computing\, Grid Computing\, Cloud Computing and Storage. In 2013\, he was appointed as the Head of Operations and Fin ancial Management Services\, in charge of 15 people. Currently\, he is man aging EC projects at GRNET SA\, the Greek NREN responsible for the provisi on of advanced e-infrastructure services to the Greek Academic and Researc h Community.\n\nAbout GRNET\n\nGRNET provides Internet connectivity\, high -quality e-Infrastructures and advanced services to the Greek Educational\ , Academic and Research community.\n\nThrough its high-speed\, high-capaci ty infrastructure that spans across the entire country\, GRNET interconnec ts more than 150 institutions\, including all universities and technologic al institutions\, as well as many research institutes and the public Greek School Network.\n\nGRNET operates the National High Performance Computing system (a Tier-1 in the European HPC ecosystem) and offers user and appli cation support services\, that provide Greek scientists with the computing infrastructure and expertise they need for their research enabling them t o perform large scale simulations.\n\nGRNET offers innovative IaaS cloud c omputing services to the Greek and global research &\; education commun ities: “ ~okeanos” and “okeanos global” allow users to create mult i-layer virtual infrastructure and instantiate virtual computing machines\ , local networks to interconnect them\, and a reliable storage space withi n seconds\, with few\, simple mouse clicks.\n\nGRNET aims at contributing towards Greece’s Digital Convergence with the EU\, by supporting the dev elopment and encouraging the use of e-Infrastructures and services. The ri ght and timely planning strategies\, together with the long experience and know-how of its people\, guarantee the continuation and enhancement of GR NET’s successful course.\n\nGreek Research and Technology Network – Ne tworking Reserach and Education:\n\nwww.grnet.gr\, hpc.grnet.gr\nhttps://e vents.prace-ri.eu/event/797/ SUMMARY:Meteorological and climate modelling @GRNET URL;VALUE=URI:https://events.prace-ri.eu/event/797/ END:VEVENT END:VCALENDAR