Meteorological and climate modelling @GRNET

Common Room (GRNET headquarters)

Common Room

GRNET headquarters

7, Kifisias Av. 2nd Floor GR 115 23 Athens

Meteorological and climate modelling

16 April 2019

Learning Outcome

After the course the participants should be able to efficiently use WRF and other such applications for climate modelling or weather prediction. They should be able to customise the application configuration files based on their needs and tune the model for most efficient performance.


The 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. Experience with parallel programming and background in Climate/Meteorological modelling is desirable.

Bring your own laptop in order to be able to participate 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.

Course language is English.


The maximum number of participants is 25.

Registrations will be evaluated on a first-come, first-served basis. GRNET is responsible for the selection of the participants on the basis of the training requirements and the technical skills of the candidates. GRNET will also seek to guarantee the maximum possible geographical coverage with the participation of candidates from many countries.


GRNET headquarters

Address: 2nd  Floor, 7, Kifisias Av. GR 115 23 Athens

Information on how to reach GRNET headquarters ia available on GRNET website:  

Accommodation options near GRNET can be found at:

ARIS - System Information

ARIS is the name of the Greek supercomputer, deployed and operated by GRNET (Greek Research and Technology Network) in Athens. ARIS consists of 532 computational nodes seperated in four “islands” as listed here:

  • 426 thin nodes: Regular compute nodes without accelerator.

  • 44 gpu nodes: “2 x NVIDIA Tesla k40m” accelerated nodes.

  • 18 phi nodes: “2 x INTEL Xeon Phi 7120p” accelerated nodes.

  • 44 fat nodes: Fat compute nodes have larger number of cores and memory per core than a thin node.

All the nodes are connected via Infiniband network and share 2PB GPFS storage.The infrastructure also has an IBM TS3500 library of maximum storage capacity of about 6 PB. Access to the system is provided by two login nodes.

About Tutors

Dr. Dellis (Male) holds a B.Sc. in Chemistry (1990) and PhD in Computational Chemistry (1995) from the National and Kapodistrian University of Athens, Greece. He has extensive HPC and grid computing experience. He was using HPC systems in computational chemistry 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/4IP/5IP he was involved in benchmarking tasks either as group member or as BCO (2010-2017). Currently he holds the position of “Senior HPC Applications Support Engineer” at GRNET S.A. where he is responsible for activities related to user consultations, porting, optimization and running HPC applications at national and international resources.

Dr. Theodore M. Giannaros (male), born in 1982, holds a PhD in Atmospheric Physics (Aristotle University of Thessaloniki, 2013). In 2014, he joined the National Observatory of Athens (NOA) where he currently acts as a post-doc researcher. His research interests and expertise include numerical modeling focusing primarily on severe weather, urban meteorology and climatology, focusing on the study of the urban heat island effect, human biometeorology, with emphasis on the evaluation of the thermal bioclimate, and regional climate modeling. He has published 22 papers in international peer-review scientific journals. His citation report includes 225 citations and an h-index of 8. Dr. Giannaros has worked extensively with the WRF and MM5 meteorological models, and the RayMan micro-scale model. He is experienced in several programming and scripting languages (Fortran, Python, GDAL, NCO, CDO, Bash), and he is proficient in using geographic information systems (ArcGIS, Quantum GIS).

Stergios Kartsios was born in 1987 and received 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 Department of Meteorology and Climatology where he works as a research assistant. He is using the Weather Research and Forecasting (WRF) model in a number of applications such, as an operational forecasting tool at his Department, 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 performance against multiple surface observations, radar and satellite data. He also uses the WRF-SFIRE model to investigate atmosphere-fire interactions. He has participated in three research programes and has 3 publications in peer-review journals. He has also working experience as junior forecaster in the private sector. Mr. Kartsios is experienced in a number of programming languages and shell scripting, while he was presenter and instractor in a number of whorkshops and conferences.

Dr Aristeidis Sotiropoulos received his BSc in Computer Science in 1998 from the University of Crete, Greece and his PhD in Parallel Processing and Cluster Computing in 2004 from the National Technical University of Athens, Greece. His interests mainly focus on the fields of Large Scale Computing & Storage Systems, System Software for Scalable High Speed Interconnects for Computer Clusters and Advanced Microprocessor Architectures. He has published several scientific papers in international journals and conference proceedings. He has received the IEEE IPDPS 2001 best paper award for the paper "Minimizing Completion Time for Loop Tiling with Computation and Communication Overlapping". 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 Financial Management Services, in charge of 15 people. Currently, he is managing EC projects at GRNET SA, the Greek NREN responsible for the provision of advanced e-infrastructure services to the Greek Academic and Research Community.


GRNET provides Internet connectivity, high-quality e-Infrastructures and advanced services to the Greek Educational, Academic and Research community.

Through its high-speed, high-capacity infrastructure that spans across the entire country, GRNET interconnects more than 150 institutions, including all universities and technological institutions, as well as many research institutes and the public Greek School Network.

GRNET operates the National High Performance Computing system (a Tier-1 in the European HPC ecosystem) and offers user and application support services, that provide Greek scientists with the computing infrastructure and expertise they need for their research enabling them to perform large scale simulations.

GRNET offers innovative IaaS cloud computing services to the Greek and global research & education communities: “ ~okeanos” and “okeanos global” allow users to create multi-layer virtual infrastructure and instantiate virtual computing machines, local networks to interconnect them, and a reliable storage space within seconds, with few, simple mouse clicks.

GRNET aims at contributing towards Greece’s Digital Convergence with the EU, by supporting the development and encouraging the use of e-Infrastructures and services. The right and timely planning strategies, together with the long experience and know-how of its people, guarantee the continuation and enhancement of GRNET’s successful course.

Greek Research and Technology Network – Networking Reserach and Education:,

    • 10:30 AM 11:00 AM
      About PRACE
      Convener: Dr Aris Sotiropoulos
    • 11:00 AM 1:30 PM
      Numerical modelling with the Weather Research and Forecasting (WRF) model: Introduction - Applications - Best practices
      Convener: Dr Theodore Giannaros
    • 1:30 PM 2:00 PM
    • 2:00 PM 4:30 PM
      Regional climate modeling with WRF.
      Convener: Dr Sergios Kartsios
    • 4:30 PM 5:30 PM
      Open Discussion
      Convener: Dr Dimitris Dellis (GRNET)