Python library for computing Finite-Amplitude Local Wave Activity Diagnostics from climate data.
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Updated
Apr 20, 2026 - Jupyter Notebook
Python library for computing Finite-Amplitude Local Wave Activity Diagnostics from climate data.
An extension of xarray for climate data analysis on structured grids.
A collection of bias correction techniques written in Python - for climate sciences.
Code-light plotting for earth science and aligned research
This is an experimental project that seeks to integrate PySpark and xarray for Climate Data Analysis.
Exploration and plotting GUI for netCDF and Met Office format data
The xCDAT validation repository for exploring, prototyping, and testing feature ideas.
This repository contains scripts for Python Module for Climate Data Analysis and Visualization, which is under development. The module performs many climate data analysis like correlation, significance testing, causality testing, estimation of climatologies, etc. The current version of package can be used, however, it must be handle with caution…
Code for the paper submitted to Weather and Climate Dynamics
Lesson materials for Module 2 (M2), "Open Climate Science for Agriculture"
Climate Data Analysis course at @IISERM, contains all the files and datasets
Lesson materials for Module 1 (M1), "Open Climate Data"
Rainfall prediction for Gujarat, India (2011–2024) using weather data from NASA POWER API and machine learning models.
Command-line tool for climate data processing: Xarray with CDO like interface.
(French) Lesson materials for Module 1 (M1), "Open Climate Data"
My solution to the challenge Regional Climate Forecasting which won the 1st place on the private ranking.
Access and analyze historical weather and climate data with Python.
Scrapper developed for the DACD course. Obtain weather information ☔ directly from the AEMET database. Keep track of the climatic conditions ❄️ all around the country
This repository explores statistical and machine learning methods for classification and function approximation. It covers k-NN, Decision Trees, Information Theory, and Convexity, with Python implementations, theoretical explanations, model comparisons, and visualizations, making it a valuable resource for ML research and applications.
Was the strengthening of the Northern polar vortex in 2024/2025 associated with the Hunga Tonga eruption?
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