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

Repository for studies on data visualization in weather/climate science

Here's the code associated with my Machine Learning (ML) based hurricane forecasting system

Automated downloads of geographic information system data posted by the National Oceanic and Atmospheric Administration's National Hurricane Center and Central Pacific Hurricane Center

Master's thesis

A streamlit web app for hurricane mapping

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.

A study evaluating and verifying the accuracy of hurricane precipitation forecasting in Louisiana, between the years 2000 and 2015.

A detailed dashboard of the history of severe storms in the Atlantic Basin. The data is provided by NOAA HURDAT2 (https://www.nhc.noaa.gov/data/hurdat/hurdat2-1851-2019-052520.txt) which has data from 1851 to 2019.

TropiTracker is an open-source tropical cyclone tracker that provides you with details on active and upcoming tropical cyclones such as wind speed, satellite imagery, future tracks, and more. TropiTracker's update feature ensures that you get vital updates the minute they happen. Get prepared and stay ahead of the storm with TropiTracker!

Scripts to replicate the analyses and figures from "Scaling of tropical-cyclone dissipation" by Corral et al.

Python script that posts Hurricane updates from the NHC Atlantic RSS Feed

Parse and Explore Data from Tropical-cyclone Databases

Code for my study titled "Identifying Thermokarst Lakes in the Qinghai-Tibetan Plateau Using Discrete Wavelet Transform-Based Deep Learning", published in the 2023 Iberian Conference on Pattern Recognition and Image Analysis

Basic Geoprocessing Tools

Data journalism project on power access across income levels in Gainesville, Florida in the wake of Hurricane Irma.

Analyzing Tropical Storms with Tidyverse Tools

This repository contains the data files and the code needed to construct a complete time series of county-to-county migration flows for the period 1998-2015 based on IRS-SOI Migration Data. In addition, I've uploaded also the python scripts I've used to analyse how flows and ties changed after Hurricanes Katrina and Sandy.

Organizing and manipulating data about Category 5 Hurricanes. Functions created use parameters, conditionals, lists, dictionaries, string manipualation, and return statements.