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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-weather-forecasting-with-the-wrf-model/
课程评论：没有评论
本课程“WRF模型天气预报入门”旨在教授学员如何使用天气研究和预报（WRF）模型进行天气预报和科研。 课程内容涵盖： * **第一部分：WRF模型介绍** - 概述WRF模型的基本原理、工作机制以及课程整体结构。 * **第二部分：数值天气预报与WRF发展历史** - 介绍数值天气预报（NWP）的历史，WRF模型的发展历程，以及WRF在天气预报和科研中的多种应用。 * **第三部分：WRF模型预处理** - 讲解WRF模型的数据需求，如何获取和准备气象及地表数据，以及如何生成初始和边界条件。 * **第四部分：WRF模型运行** - 指导学员如何配置、运行WRF模型，并进行模型输出的后处理。 * **第五部分：模型输出分析** - 教授使用NCL和PostWRF可视化WRF模型输出的方法，包括基础和高级可视化技术。 * **第六部分：进阶主题与案例研究** - 探讨嵌套区域、边界层物理参数化方案、模型输出与观测数据的验证，以及WRF与其他全球模型的耦合。 * **第七部分：课程总结与未来学习** - 提供进一步学习和发展的建议，帮助学员巩固对WRF模型的理解和应用能力。 完成本课程后，学员将对WRF模型及其应用有扎实的认识，并掌握使用WRF进行天气预报和科研的必要技能。
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!
