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Keep shoppingIntroduction to Weather Forecasting with the WRF Model
557 students
Introduction to Weather Forecasting with the WRF Model
WRF, numerical weather prediction, meteorology, atmospheric sciences
Created byHosni Snoun
Last updated 1/2026
English
What you'll learn
- Understand the fundamentals of the WRF model and its architecture.
- Learn how to preprocess data using the WRF Preprocessing System (WPS).
- Understand the data requirements for WRF modeling and how to obtain and prepare meteorological and land surface data.
- Learn how to generate initial and boundary conditions for running WRF.
- Understand the process of running WRF and how to configure the model.
- Understand the options for physics schemes in the WRF model.
- Learn how to run and post-process model outputs using the NCAR Command Language (NCL).
- Understand how to verify model output with observations and analyze the model outputs.
- Explore the applications of WRF model outputs in research and learn about advanced topics such as nested domains, advanced physical parameterizations, and more
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Course content
7 sections • 19 lectures • 3h 31m total length
Requirements
- Basic knowledge of meteorological concepts and terminology is recommended.
- WRF model installed (preferably version 4.0 or above)
- Familiarity with scripting concepts and experience with bash terminal, ubuntu Linux, and NCL is preferred
- Access to a computer with at least 4 cores CPU and 16 Gb of RAM (32 Gb or more recommended)
- Some experience working with NETCDF and regular data, such as observational or numerical model data, is preferred but not required.
Description
Welcome to the Introduction to Weather Forecasting with the WRF Model course on Udemy. In this comprehensive course, we will guide you through the process of using the Weather Research and Forecasting (WRF) model for weather forecasting and research.
In Section 1, we will introduce you to the WRF model and provide you with a basic understanding of its principles and how it works. We will also give you an overview of the different sections covered in the course.
Section 2 will provide you with a brief history of Numerical Weather Prediction (NWP) and the development of the WRF model. You will learn about the various applications of WRF in weather forecasting and research.
In Section 3, we will guide you through the pre-processing phase of the WRF model. You will learn about the data requirements for WRF modeling, how to obtain and prepare meteorological and land surface data, and how to generate initial and boundary conditions.
Section 4 will focus on running the WRF model. You will learn how to configure the WRF model, run it, and post-process model outputs.
Section 5 will cover model output analysis. You will learn how to visualize the WRF model output using NCL and PostWRF. We will cover basic visualization techniques as well as more advanced visualization techniques.
In Section 6, we will dive into advanced topics and case studies. You will learn about nested domains, boundary layer physical parameterizations, verification of model output with observations, and coupling WRF with other global models.
Finally, in Section 7, we will conclude the course by providing you with suggestions for further learning and development. You will have a solid understanding of the WRF model and its applications, and be equipped with the necessary skills to start using it for your own weather forecasting and research needs.
Enroll in this course today and take your first step towards mastering the WRF model!
Who this course is for:
- students studying atmospheric sciences, meteorology, or related fields
- professionals working in the weather forecasting industry
- meteorologists, weather forecasters, and climate scientists
- hobbyists and weather enthusiasts who have a keen interest in weather forecasting