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

Hurricane Analysis and Forecast System

Analysis satellite images of typhoons in deep-learning (CNN).

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

Web scraper for Atlantic and east Pacific hurricanes and tropical storms

A Collection of Flood Hazard Layers for New York City.

HURDAT is a dataset of best-track analysis for Atlantic and NE Pacific cyclones. This R package scrapes and parses that dataset.

Get information about the potential impacts of tropical storms in the United States

Imperial College Storm Model

Personal data science project exploring visualization of tropical cyclone data

Visualize GOES mesoscale data in a browser map

Tropical cyclone intensity change forecast graphic aid

Visualizing on a map how well a segmentation model is likely to work

Collect Post-Storm Imagery from NOAA

Flask web application for disaster management.

A module for obtaining emergency messages about hurricanes, storm warnings and earthquakes

Code release for "Flood Extent Mapping During Hurricane Florence With Repeat-Pass L-Band UAVSAR Images"

Alexa Skill for providing hurricane updates based on data that comes from the National Hurricane Center.

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

ParaTC: Python functions and classes for generating parametric tropical cyclone models.