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GOES-R-Weather-Hazards

Project Title

Leveraging GEOS observations for near real-time monitoring of weather hazards over the continental United States

Overview

This repository contains all the codes developed as a part of the GOES-R DataJam competition. Our project harnesses the power of GEOS observations to enable near real-time monitoring of weather hazards, specifically tailored for the continental U.S.

Table of Contents

Project Description

The goal of our project is to effectively utilize the vast datasets from GEOS observations to create an actionable, real-time monitoring system that aids in identifying and responding to weather hazards in the continental U.S. Our approach emphasizes user-friendly visualizations, efficient data processing, and precise alert systems.

Features

  • Real-time Data Monitoring: Seamlessly integrates GEOS observational data to provide up-to-the-minute insights.
  • Interactive Visualizations: Offers intuitive and interactive charts and maps to represent complex weather data.
  • Alert System: Users can set custom thresholds for various weather parameters to receive timely alerts.
  • Cloud-based Data Retrieval: Efficiently fetches and processes data from cloud services.
  • Open Source: Encourages community contributions and improvements.

Installation and Usage

  1. Clone the repo:
git clone https://github.com/your_username/GOES-R-Weather-Hazards.git
  1. Navigate to the directory:
cd GOES-R-Weather-Hazards
  1. Follow the instructions in the specific code folders for setup and usage details.

Live Website

Experience our project in action! The website is hosted here.

Contributors

Team members:

  • Mohamed Abdelkader, Stevens Institute of Technology, USA
  • Daniela Montano Bello, National University of Colombia, Colombia
  • Jorge Bravo, Stevens Institute of Technology, USA
  • Maria Moreno, National University of Colombia, Colombia
  • Jessica Souza, Texas Tech University, USA
  • Matsane Willem, University of Limpopo, South Africa

Mentors:

  • Peter Vanden Bosch, National Weather Service Office, Texas, USA
  • Tristan Klintworth, Office of Observations at the National Weather Service, Maryland, USA

Acknowledgements

We'd like to thank the organizers of the GOES-R DataJam competition for providing us with this opportunity and the community for their continuous support.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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