A statistical-parametric model for assessing wind hazard from tropical cyclones
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Updated
Nov 7, 2024 - Python
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
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.
Extended Best Track Data, source: http://rammb.cira.colostate.edu/research/tropical_cyclones/tc_extended_best_track_dataset/
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