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 R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset
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)
Golang GRIB2 parser
🌧 Simple weather data visualization and downloads
The weatherbit integration adds support for the weatherbit.io web service as a source for meteorological data for your location.
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/
Download meteorological data from NASA POWER using a simple Python API client (https://power.larc.nasa.gov/).
A repository for the easy access of Python scripts for performing basic operations and plotting of the meteorological gridded datasets.
A tiny CLI written in go-lang used to retrieve data from Netatmo Weather API. The CLI is based on the cobra framework
A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
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.
This package generates graph representations from point cloud data and fits graph neural networks for classification problem
A web scraper that allows users to directly access data from www.bom.gov.au.
A sensors.AFRICA project to send SMS alerts of storms around the great lakes region. Accessible at https://stormwatch.sensors.africa/
[완료] 우리나라 역학적 모델링에 자주 쓰이는 데이터 제공
As part of the thesis, a system was created that gives remote users at http://www.nerezisca-meteo.com/ an insight into current meteorological data as well as historical data display. The parameters to be measured are temperature, humidity, air pressure, solar radiation, wind speed and direction, carbon dioxide, carbon monoxide and air quality. T…
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