There are 0 repository under ozone topic.
Rat Collection
Arduino driver for gas sensor MQ131 (Ozone / O3)
Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island Transpeciation
🛰️ Cette application permet aux utilisateurs de filtrer les données du satellite SCISAT et de visualiser les données extraites | 🛰️ This application allows users to filter data from the SCISAT satellite and visualize the extracted features.
Code for the paper submitted to On the impact of Himalaya-induced gravity waves on the polar vortex, Rossby wave activity and ozone
Php Modular Framework
Service for WeeWX to retrieve air quality data from the airQ device of Corant GmbH
:earth_americas: An interactive web app providing on-campus sustainable information
Own webpage and blog: academic and personal
Excel VBA macro for visualization of radiosondy.info weather balloon flight data
Container image to provide runtime environment for developing and testing Apache Ozone
Container image to provide MIT krb5 server for developing and testing Apache Ozone
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
Ozone profile clustering code for UKESM1
The QuickApp Air Quality OpenWeatherMap provides the current measurement for your location on Air Quality. Besides basic Air Quality Index the QuickApp provides also data about polluting gases such as Carbon monoxide (CO), Nitrogen monoxide (NO), Nitrogen dioxide (NO2), Ozone (O3), Sulphur dioxide (SO2), Ammonia (NH3), and particulates (PM2.5 and PM10). This QuickApp has Child Devices for Carbon monoxide (CO), Nitrogen monoxide (NO), Nitrogen dioxide (NO2), Ozone (O3), Sulphur dioxide (SO2), Ammonia (NH3), PM2.5 and PM10.
The codes for analyze the GEMS O3P algorithm results for the research.
WOUDC Data Registry is a platform that manages Ozone and Ultraviolet Radiation data in support of the World Ozone and Ultraviolet Radiation Data Centre (WOUDC), one of six World Data Centres as part of the Global Atmosphere Watch programme of the WMO.
Stratospheric water vapor and ozone analysis using Machine Learning models and Explainable AI
Reads NOAA ESRL GMD ASCII data files as pandas.DataFrame objects.
Recent research outputs
A practical guide to using TROPESS data products. Delivered as Jupyter Notebooks in Python
Python package, an example and executable to calculate the radiative forcing of hypersonic aircraft trajectories
Ozone generator bluetooth controller with android app