Atmospheric data Community Toolkit - A python based toolkit for exploring and analyzing time series atmospheric datasets

⚠️ ARCHIVED ⚠️ Australian government Bureau of Meteorology (BOM) data client for R

The R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset

This repositiry is deprecated, and will soon be taken offline. Please switch to the continuously updated, valid Open Data documentation via the link below.

Golang GRIB2 parser

https://MetPX.github.io/sarracenia

The weatherbit integration adds support for the weatherbit.io web service as a source for meteorological data for your location.

A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.

MeteoSwiss' continuosly updated Open Data documentation.

Download meteorological data from NASA POWER using a simple Python API client (https://power.larc.nasa.gov/).

Predicting rice field yields through the integration of Microsoft Planetary satellite images, meteorological data, and field information in the 2023 EY Open Science Data Challenge - Crop Forecasting.

Simple Python script to download historical meteorological data records from 1981 to today for any place on Earth from Nasa Power: https://power.larc.nasa.gov/data-access-viewer/

A Jupyter Notebook that creates a modern way to visualize sounding data for the purpose of environmental analysis.

This repo is an implementation of the research paper "A Data Mining Approach to Predict Forest Fires using Meteorological Data." by P. Cortez and A. Morais. The algorithms used are : SVR, Decision Trees, Random Forests, Simple Deep Neural Network ( Keras with Tensorflow backend)

R interface to the Greek National Data Bank for Hydrometeorological Information

A repository for the easy access of Python scripts for performing basic operations and plotting of the meteorological gridded datasets.

🌧 Simple weather data visualization and downloads

This package generates graph representations from point cloud data and fits graph neural networks for classification problem

PurpleAirSF: datasets for realistic air quality forecasting

Analysis of fixed interval precipitation records