hurricane

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

This open-source package provides a framework for automatically detecting and extracting metadata from solar array installations in satellite images.

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

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

Imperial College Storm Model

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

MCP servers for coastal oceanography

Visualize GOES mesoscale data in a browser map

NHC hurricane cone card for Home Assistant

Tropical cyclone intensity change forecast graphic aid

Collect Post-Storm Imagery from NOAA

Interactive hurricane impact analysis dashboard for UNICEF. Visualizes probabilistic and deterministic hurricane forecasts, assessing risk to population, schools, health centers, and infrastructure. Built with Dash and powered by the giga-spatial package for geospatial data processing.

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

This repository provides a tutorial and code for reproducing the data and results presented in the following publication: Automated Mapping of Post-Storm Roof Damage Using Deep Learning and Aerial Imagery: A Case Study in the Caribbean (Kucharczyk, Nesbit, & Hugenholtz, 2025, Remote Sensing).

Twitter Semantic Data Mining for Harvey Hurricane Credible Event Detection

Backend code for data-driven hurricane regional loss estimation of actual constructed buildings

Open, tidy database of FEMA Hazus flood and hurricane damage/vulnerability curves — 278k curves, full provenance, one-command install into SQLite/DuckDB/PostgreSQL/Snowflake

A full-screen, location-aware weather kiosk for Raspberry Pi / Windows — search any city for live radar, all-basin tropical tracking, and real-time lightning, composited in PyQt6.

Location-level Florida hurricane catastrophe model in Python: HURDAT2-calibrated hazard + physical wind field (Holland, Vickery-Wadhera, Kaplan-DeMaria), synthetic exposure, HAZUS-anchored vulnerability, OED/YLT/ELT formats, XoL reinsurance with reinstatements, gross/net AEP/OEP curves & PMLs, historical backtesting (Andrew, Ian).

Command-line tool and Discord bot which presents ATCF and Best Track data.