Syllabus

A WRF (Weather Research and Forecasting) basic simulation lab syllabus would typically cover the fundamentals of using the WRF model, including model setup, data preparation, running simulations, and interpreting results, with hands-on practice and theoretical lectures.
Here's a breakdown of what a typical WRF basic simulation lab syllabus might include:
1. Introduction to WRF
• What is WRF?
• Overview of the WRF model, its capabilities, and applications.
• WRF's role in both atmospheric research and operational forecasting.
• WRF Architecture
• Dynamical cores (e.g., Advanced Research WRF - ARW).
• Data assimilation system.
• Software architecture for parallel computation and extensibility

2. WRF Community and Resources.

• Introduction to the WRF user community and resources.
• NCAR's role in WRF development and support.
• Online tutorials and documentation.

3. WRF Model Setup and Configuration


• Software Installation
• Setting up the WRF environment, including required software packages and libraries.
• Compiling the WRF model.

4. Data Preparation

• Obtaining and preparing meteorological data (e.g., ERA5, NARR).
• Using WRF preprocessors (e.g., WPS) to prepare input data.
• Geogrid setup and domain definition.


5. Namelist Configuration

• Understanding and modifying WRF namelist files.
• Setting up simulation parameters (e.g., domain size, resolution, physics options).

6. Running WRF Simulations

• Simulation Execution
• Running WRF simulations using the WRF executable.
• Monitoring simulation progress and output.
• Running idealized simulations (e.g., steady-state).
• Running simulations based on real-world data.

7. Output Data Analysis

• Understanding WRF output files and formats.
• Using tools to visualize and analyze simulation results.
• Guided practice sessions on setting up and running WRF simulations.
• Exercises on data preparation, namelist configuration, and output analysis.
• Analyzing WRF simulations of specific weather events or scenarios.
• Comparing simulation results with observations.

8. Advanced Topics

• Introduction to WRF data assimilation (WRFDA).
• Using radar data assimilation techniques.

Fundamentals of using the WRF model

Model setup, data preparation

Running simulations and interpreting results with hands-on practice and theoretical lectures.

Post-processing the model simulations

Understand the regional mesoscale modeling.
Necessary input data
Domain configurations

Jacobson Mark Z., Fundamentals of Atmospheric Modeling, Cambridge University Press

Charles A. Lin, Rene Laprise, and Harold Ritchie, Numerical Methods in Atmospheric and Oceanic Modelling:, Canadian Meteorological & Oceanographic Society,Canada