{"id":19726,"date":"2025-04-16T11:48:43","date_gmt":"2025-04-16T08:48:43","guid":{"rendered":"https:\/\/grnet.gr\/?p=19726"},"modified":"2025-05-08T16:27:05","modified_gmt":"2025-05-08T13:27:05","slug":"euroccgreece-hpc-training-series-course-13-the-weather-research-and-forecasting-wrf-model-on-hpc-on-april-28th-2025","status":"publish","type":"post","link":"https:\/\/grnet.gr\/en\/2025\/04\/16\/euroccgreece-hpc-training-series-course-13-the-weather-research-and-forecasting-wrf-model-on-hpc-on-april-28th-2025\/","title":{"rendered":"EuroCC@Greece HPC Training Series &#8211; Course 13 \u201cThe Weather Research and Forecasting (WRF) Model on HPC\u201d, on April 28th, 2025"},"content":{"rendered":"<p style=\"font-weight: 400;\">EuroCC@Greece announced the 13th Course of the HPC Training Series with subject \u201cThe Weather Research and Forecasting (WRF) Model on HPC\u201d, that took place online on April 28th, 2025.<\/p>\n<p style=\"font-weight: 400;\"><strong>Presentation language<\/strong>: Greek<\/p>\n<p style=\"font-weight: 400;\"><strong>Audience<\/strong>: This course was designed for meteorologists, climate scientists, researchers, and engineers who need to run and optimize WRF models on High-Performance Computing (HPC) systems. It was also suitable for graduate students and professionals in atmospheric sciences, computational physics, and environmental modeling.<\/p>\n<p style=\"font-weight: 400;\"><strong>Location<\/strong>: Online via Zoom<\/p>\n<p style=\"font-weight: 400;\"><strong>Description<\/strong>: This course provided an overview of the Weather Research and Forecasting (WRF) model, focusing on its application and optimization on High-Performance Computing (HPC) systems. Participants learned WRF model fundamentals, installation, configuration, execution, and performance tuning techniques specific to HPC environments.<\/p>\n<p style=\"font-weight: 400;\"><strong>Objectives<\/strong>:<\/p>\n<p style=\"font-weight: 400;\">By the end of this course, participants were be able to:<\/p>\n<ul style=\"font-weight: 400;\">\n<li>Understand WRF model \u2013 Explain the fundamentals of Weather Research and Forecasting (WRF) model and its applications.<\/li>\n<li>Set Up and Configure WRF \u2013 Install, configure, and run WRF model on HPC systems.<\/li>\n<li>Optimize Performance \u2013 Apply parallel computing techniques to enhance WRF model efficiency on HPC.<\/li>\n<li>Analyze Model Outputs \u2013 Interpret WRF simulations and validate results against observational data.<\/li>\n<li>Troubleshoot and Debug \u2013 Identify and resolve common issues in WRF simulations on HPC platforms.<\/li>\n<\/ul>\n<p style=\"font-weight: 400;\"><strong>Prerequisites<\/strong>:<\/p>\n<ul style=\"font-weight: 400;\">\n<li>Basic Meteorology Knowledge \u2013 Understanding of atmospheric processes and weather forecasting concepts.<\/li>\n<li>Linux Proficiency \u2013 Familiarity with command-line operations and shell scripting.<\/li>\n<li>Programming Experience \u2013 Basic knowledge of Fortran and\/or C++.<\/li>\n<li>Numerical Modeling Basics \u2013 Understanding of numerical weather prediction principles.<\/li>\n<li>HPC Familiarity \u2013 Experience with parallel computing, job scheduling, and running applications on HPC systems is beneficial but not required.<\/li>\n<\/ul>\n<p style=\"font-weight: 400;\">The course\u2019s agenda and presentation material can be found <strong><a href=\"https:\/\/events.grnet.gr\/event\/173\/timetable\/\">here<\/a>.<\/strong><\/p>\n<p style=\"font-weight: 400;\"><strong>Watch the event\u2019s recordings in the dedicated playlist <\/strong><strong><a href=\"https:\/\/youtube.com\/playlist?list=PLDXx3HYfIJMp1TSKJjfqR10qfYIAaGf71&amp;si=aWZ7tghOfRetYeSO\">here<\/a>.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>EuroCC@Greece announced the 13th Course of the HPC Training Series with subject \u201cThe Weather Research and Forecasting (WRF) Model on HPC\u201d, that took place online on April 28th, 2025. Presentation language: Greek Audience: This course was designed for meteorologists, climate scientists, researchers, and engineers who need to run and optimize WRF models on High-Performance Computing [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":19727,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[294,490,355],"tags":[],"class_list":["post-19726","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events-en","category-news_en-en","category-news-en"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/19726","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/comments?post=19726"}],"version-history":[{"count":2,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/19726\/revisions"}],"predecessor-version":[{"id":19883,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/19726\/revisions\/19883"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/media\/19727"}],"wp:attachment":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/media?parent=19726"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/categories?post=19726"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/tags?post=19726"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}