Access and analyze historical weather and climate data with Python.
An open-source directory of global weather stations.
This repo includes the code developed during the DSSGx Munich 2024 fellowship for the project that supports the Bavarian Forest National Park with their project to monitor and manage visitors of the Bavarian Forest.
Get data from Meteostat API into R
end-to-end pipeline to predict next-day wildfire risk from NASA FIRMS (active fires) and Meteostat weather, train LightGBM, and visualize alerts in Streamlit.
Extract - Transform - Load (ETL) workflow integrating Earth Engine and Meteostat data to monitor wildfire-related conditions across Portugal.
EcoHarvest is a web app that optimizes sustainable farming through data-driven crop selection, achieving 96% accuracy using scikit-learn's tree regression. It integrates Google Cloud, OpenAI, Twilio, and Meteostat APIs to provide real-time weather updates and revitalize soil nutrients, increasing efficiency and profitability for farmers.
2-layer LSTM for daily temperature prediction in Nanjing using real Meteostat API data
-bureau-of-international-security-nonproliferation
Interactive Trip Planning with Weather information (Historical and Forecasted) as per the selected location. Powered by Python and DASH.
A small website to request weather data from Meteostat.
Midterm project Lighthouse Labs - Predicting flight delays project using machine learning algorithms in Python
Kafka-based precipitation data pipeline with Parquet processing and a Streamlit dashboard.
Historical-uprisings climate companion to ThermoKourt — case-crossover test of temperature anomalies on days of mass civil strife (1750–2024), with a four-tier weather-archive cascade and a peaceful-crowd parallel control.
Analyzes Puebla, Mexico climate data (1994-2024) using meteostat for extreme weather events.
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