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This repository has been archived by the owner on Jun 2, 2024. It is now read-only.

Tracking balloon, graphing the path, and analyzing the data of Vaisala RS radiosonde

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ntu-as-cooklab/Weather-Balloon-Radiosonde-Tracker

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Weather Balloon Radiosonde Tracker

This project visualizes the data of Vaisala RS radiosonde.

Track and graph the path in 2D and 3D.

Plot charts about vars with time or vars with height.

Plot skew T/log P chart.

Currrntly only support Windows and Linux!

Demo

Environment

python 2.7, node.js 4.4+, the code tests in Windows and Linux

Excute

git clone https://github.com/tigercosmos/Weather-Balloon-Radiosonde-Tracker.git
cd Weather-Balloon-Radiosonde-Tracker
npm install
npm start

OR you can just download from release:

# Unzip and enter folder
node app.js

It will start a localhost server on 8000 port. Then open browser go http://127.0.0.1:8000.

Data

Uploaded data format must be as same as the files in /uploads

Introduction

  1. Choose files what you want to see, and click "Upload File". It supports multi-files. 
  2. You can see the list of files auto-refreshed, if not click "Refresh."
  3. The files in the list are what will show in the program. You can select certain files by checkbox to delete files you don't want to show. 
  4. Before you show the data, you can upload and delete files many times.
  5. After finish the list, click "Calculate" to get data from files. When it is running, it shows "running..."; when it finished, it shows "Done!"
  6. After calculation, click "Plot Category" in the home page or "Show" in the other page to show the data virtualization. 
  7. Repeat progress 1~6 to change the files you want to see.
  8. Once you calculate and get data, you can click "Plot" at the navigation bar or "Plot Category" to change what kind of plots you want to see.

Reference

This Skew T/Log P diagram is referenced by Ryan Sobash's Repo.

License

The MIT License (MIT)