radar data processing
Project description
Welcome to METRADAR📡
🚀 Quick start
📡metradar 主要面向一线气象工作者,提供简单易用的python接口,用于读取、处理和可视化中国天气雷达数据,并利用国际成熟的雷达工具包如pyart、wradlib、pydda、pysteps构建了质量控制、降水反演、风场反演、临近预报等工程。
✨强烈推荐先从examples目录下的所有notebook入手!
✨由于很多算法功能都是以完整项目形式共享,因此,建议用户将整个代码包从github上下载到本地进行后续开发!
📚主要功能包括
- 1,雷达数据下载,自动站数据下载,下载功能集成在nmc_met_io工具包中;
- 2,雷达基数据的读取(中国气象局最新的标准数据格式FMT)、绘图;
- 3,ROSE PUP 产品读取、绘图;
- 4,雷达拼图解码、绘图,支持SWAN格式拼图、中国气象探测中心拼图等;
- 5,雷达和自动站综合分析及绘图,自动站数据诊断分析包括散度、涡度计算、等值线客观分析等。
- 6,雷达质控、批量绘图、三维组网产品制作、降水估测、三维风场反演、回波临近预报、雷达和自动站时间序列图等,其中部分算法以项目形式开源,提供一键式处理流程。
🛠️Install
Using the fellowing command to install packages:
- 使用pypi安装源安装(https://pypi.org/project/metradar/)
pip install metradar
📂若要构建全功能运行环境,建议安装顺序如下:
- conda create -n radar312 python=3.12
- conda activate radar312
- pip install metradar
- conda install -c conda-forge arm_pyart -y
- conda install -c conda-forge cartopy -y
- conda install -c conda-forge gdal -y
- pip install tensorflow
- pip install tensorflow-probability
- pip install tf_keras
📜设置配置文件
- 在系统用户目录下("C:\Users\用户名"(windows)或"/home/用户名/"(Linux)), 建立文件夹".metradar"(若Windows下无法直接创建, 在命令窗口中输入
mkdir .metradar创建) - 在".metradar"中创建文本文件"config.ini", 内容模板为:
# 用于metradar相关参数设置
# 建议使用vscode进行编辑,或notepad++等编辑器进行编辑
# RESOURCES_PATH路径下存放了各种资源文件,包括地图、字体、色标等
[SETTING]
RESOURCES_PATH = /home/wjzhu/metradar/resources
⚠️注意事项:
- 资源文件RESOURCES 目录下的stations目录下的文件都是样例文件,不代表真实坐标,使用时,请自行按照同样的格式准备站点文件。
- 样例测试数据需要单独下载,链接:https://github.com/zhuwenjian/metradar_testdata
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