Introduction To Weather Forecasting With The Wrf Model

WRF, numerical weather prediction, meteorology, atmospheric sciences

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 coupl

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!

Overview

Section 1: Introduction and course organisation

Lecture 1 Introduction

Section 2: Introduction to WRF

Lecture 2 NWP, Brief history and development of WRF

Lecture 3 Overview of WRF model architecture

Lecture 4 Applications of WRF in weather forecasting and research

Section 3: Pre-processing with the WRF Preprocessing System (WPS)

Lecture 5 geogrid, ungrib and metgrid programs

Lecture 6 Why we should perform a good design experiment?

Lecture 7 Obtaining and preparing meteorological and land surface data

Lecture 8 Generating initial and boundary conditions

Section 4: Running WRF

Lecture 9 Configuration of namelist.input file and running WRF

Lecture 10 Running and post-processing model outputs

Section 5: Model Output Analysis

Lecture 11 Basic visualization of WRF model output with NCL

Lecture 12 Advanced WRF model outputs visualization with PostWRF

Section 6: Advanced Topics and case studies

Lecture 13 Set up WRF for specific regions with Nested domains

Lecture 14 Options for physics PBL schemes

Lecture 15 Verification of model output with observations

Lecture 16 Bonus tip - Coupling WRF with other global models

Section 7: Conclusion

Lecture 17 Suggestions for further learning and development

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