A statistical-parametric model for assessing wind hazard from tropical cyclones

tcpyPI, aka "pyPI": Tropical Cyclone Potential Intensity Calculations in Python

A unified interface to access tropical cyclone best-track datasets in different formats.

Hurricane Analysis and Forecast System

A convolutional neural network that estimates the wind speed of a hurricane based on its satellite image

Repository for studies on data visualization in weather/climate science

CNN based wind speed estimation of tropical cyclones based on IR/WV satellite imagery

Compute CAPE and tropical cyclone potential intensity using the Julia Language.

This is a package for interpolating lat/lon gridded data onto a cylindrical coordinate translating with various kinds of vortices on Earth.

The simplest tropical cyclone track map generator.

A series of machine learning models built to downscale tropical cyclone rainfall

Personal data science project exploring visualization of tropical cyclone data

Solution for categorizing hurricanes based on intensity, using a deep convolutional neural network architecture trained on GPUs. It was developed during the "NCC Portugal AI for Science Bootcamp" and it's mainly a recreation of the research paper titled "Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network".

Calculate TC Potential Intensity & Ventilation Index using Python and Fortran.

Tropical cyclone intensity change forecast graphic aid

Tools for Digital Typhoon DL/ML Project

Companion software for the cctrack software. Generate end-user products for the cctrack output. Cyclone tracking output: extra-tropical and tropical.

Tropical Cyclone Intensity Classification and Estimation Using Infrared Satellite Images with Deep Learning

Extended Best Track Data, source: http://rammb.cira.colostate.edu/research/tropical_cyclones/tc_extended_best_track_dataset/

An ASP.NET web service that parses tropical cyclone CSV data from NOAA IBTrACS, stores it in a MongoDB database and provides a RESTful JSON API to access it.