Python code to assist in familiarizing meteorologists with machine learning
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Updated
Feb 27, 2023 - Jupyter Notebook
Python code to assist in familiarizing meteorologists with machine learning
Python code to assist in familiarizing meteorologists with machine learning
Using ML classification methods to predict summertime thunderstorm initiation in Melbourne, FL
Lightning sensor module based on AS3935 Franklin Lightning Sensor IO. Sensor can be connected via I2C or SPI bus.
Stack lightning photos in the browser. Layer blending, hand painted masks, snapping and PNG export. One self contained HTML file, nothing uploaded.
An experimental open hardware project for early notification about approaching thunderstorm activity
Explore the best YouTube channels for learning about thunderstorms with IndiTubeDb, the AI-powered platform for discovering and comparing trusted creators.
The numerical model of convective air parcel ascent.
Gets next 12 hours weather from wunderground for command prompt
Real-time WebGL2 supercell thunderstorm sim — volumetric clouds, branching lightning, day/night + moon cycle, procedural audio.
Alpha feedback hub for the Thunderstorm platform
Thunderstorm Origami Analyzer is designed to simplify the workflow after ThunderSTORM analysis by reading exported localization tables, applying quality-control filters, generating reconstructed super-resolution images, and producing summary plots and result files automatically.
This project involves the transmission of environmental data collected by a BME280 sensor to a server via an ESP32 microcontroller. The data is then visualized in a React frontend.
Scripts for parsing data from measurement devices mounted on cars for thunderstorm chasing.
Visualization and Analysis Python codes of WRF model output forthunderstorm simulations over Kolkata and Bhubaneshwar using Highres Urban Fraction
Storm and flash-flood warnings for the Czech town of Kolín — a web page and a Telegram bot. Seven forecast models and the Czech weather radar kept as two independent numbers.
Detection of Electromagnetic Phenomena in the Atmosphere: Integrating Advanced Instrumentation and UAVs for Enhanced Atmospheric Research
⚡ Electric Storm — Immersive 3D thunderstorm authentication with dynamic lightning bolts, rain particles, charged clouds, and electrifying atmosphere. Go Fiber + GORM + SQLite + Alpine.js + Tailwind CSS. No CGO required!
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