👀A set of Python modules for working with Google Location History

Auto post GIF of Typhoon at the Western Pacific by crawling NOAA's Storm Floaters

Parses Tropical Storms from the NOAA SSD Bulletin Format

A little AWS lambda function for retrieving historical weather patterns, specifically related to tropical storms.

A 100-year collection of climate data from one of the nation's oldest weather stations. Data source is NOAA.

Importing IGRA2 US Weather Balloon Data into readable format

Utility to aid monthly NGS Monument updates.

A MySQL relational cyclone database including all NOAA recorded cyclones originating from the Pacific and Atlantic Oceans in 2014 designed and built complete with views and queries for predictive analysis purposes.

Sample app to demonstrate offline feature using pure Java with Room, LiveData, Repository pattern, ViewModel and DataBinding.

Python interface for the NOAA GOES Amazon Web Service (AWS) S3 bucket

Classification and analysis of post-storm response imagery

An R 📦 for the National Water Model

The basic goal of this project is to explore the NOAA Storm Database in order to know which types of events are most harmful with respect to population health and which types of events have the greatest economic consequences across the USA

A Raspberry Pi NOAA satellite receiver built with Raspbian, Predict, rtl-sdr, SoX, WXtoImg, and Twython on a custom QFH 1Xyyyymmdd-hhmmss UTC 🛰️🌎📡🥧 By Kevin D

Climate Change Impact Prediction Tool aimed to calculate the long term impacts of climate change on the NNSB area.

Code created based on ready script. I added lines to help with the continuous data download, there is still a lot to be added. In case of lack of data the library itself returns an error message and for the download.

Encode images to NOAA APT signal. Save to file or transmit in real time.

An r package that downloads, processes, and visualizes weather data from the NOAA website

My Final Degree Project in Software Engineering Bachelor's Degree consisting of the development of a Machine Learning project for Wind and Waves modeling in the time and frequency domain

Supplemental files accompanying McTigue, N.D., Q.A. Walker, & C.A. Currin (2021) "Refining estimates of greenhouse gas emissions from salt marsh “blue carbon” erosion and decomposition."