Atmospheric data Community Toolkit - A python based toolkit for exploring and analyzing time series atmospheric datasets
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Updated
May 29, 2024 - Python
Atmospheric data Community Toolkit - A python based toolkit for exploring and analyzing time series atmospheric datasets
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.
Download meteorological data from NASA POWER using a simple Python API client (https://power.larc.nasa.gov/).
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/
🌧 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
sondera is a python package providing clients for accessing Swedish hydrology and meteorology related open data. Data sources currently include SMHI open data API and SGU groundwater API.
A tool to extract and preprocess Canadian historical daily weather data
This is a toolbox for LIMRAD94 (RPG) and MIRA35 (Metek) radar datasets.
A web scraper that allows users to directly access data from www.bom.gov.au.
A repository for the easy access of Python scripts for performing basic operations and plotting of the meteorological gridded datasets.
This is to easily retrieve open-source data provided from ECCC.
Collection of tools to perform timeseries analysis on climate data (Observation and Downscaled)
Functions to download data from Numerical Weather Prediction Models from NOAA and ECMWF
Crawler to get data from INMET (Instituto Nacional de Meteorologia)
Assets for creating tilemap with synoptic symbols used in SYNOP code.
This library/package is intended to help you fetch weather data from a multitude of sources in an efficient and uniform way. Acquire data using nothing more than just a period and a location, or request very specific factors in a very specific format. You control the data you fetch.
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