Installing the WRF model and its derivatives with the WRF-MOSIT toolkit on Ubuntu Linux.
Understanding how to install and configure the famous WRF model with WRF-MOSIT is more than just a technical skill—it's a gate pass to the world of high-resolution atmospheric simulations. By the end of this course, you'll be equipped to customize, execute, and manage simulations that serve a broad range of meteorological research and forecasting needs. Whether you're aiming to improve local weather predictions, air quality, hydrological applications, work on climate change models, or contribute to academic research, these skills will prove invaluable.
The target audience for this training may include students studying atmospheric sciences, meteorology, or related fields, as well as professionals working in the weather forecasting industry, such as meteorologists, weather forecasters, and climate scientists. It could also appeal to hobbyists and weather enthusiasts who have a keen interest in weather forecasting and want to learn more about how it is done using the WRF model.
Dive in, and let's demystify the complexities of weather modeling together, one command line at a time!
8 activities • 7 videos • duration: 50m
Air quality Expert
Dr. Hosni Snoun currently works as an air quality Expert in Saudi Arabia. He holds a Phd in hydraulics engineering from the national engineering school of Tunis, University of Tunis El Manar. Hosni does research in Meteorology, data assimilation, machine learning and air quality.
Professional development requirements vary by profession, country, and regulatory body. Before enrolling, review the course details and confirm that the content, learning format, and any listed credits meet your specific requirements. You are responsible for confirming eligibility with your regulator or professional association and keeping the records required for reporting.
