An extension of xarray for climate data analysis on structured grids.

A collection of bias correction techniques written in Python - for climate sciences.

Python library for computing Finite-Amplitude Local Wave Activity Diagnostics from climate data.

This is an experimental project that seeks to integrate PySpark and xarray for Climate Data Analysis.

Code-light plotting for earth science and aligned research

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…

Sea Surface Temp Visualization

Code for the paper submitted to On the impact of Himalaya-induced gravity waves on the polar vortex, Rossby wave activity and ozone

Exploration and plotting GUI for netCDF and Met Office format data

Lesson materials for Module 1 (M1), "Open Climate Data"

The xCDAT validation repository for exploring, prototyping, and testing feature ideas.

Code for the paper submitted to Weather and Climate Dynamics

Collection of example Python scripts in Jupyter Notebook for climate data analysis and visualization

Interactive website around climate justice

repository for a class

This project analyzes historical hurricane data from the NOAA dataset to identify trends, patterns, and impacts of hurricanes over time. Using R, we clean, process, and visualize storm trajectories, wind speeds, and pressure changes. The analysis includes geospatial visualizations and time-series trends to understand hurricane intensity.

Climate Data Analysis course at @IISERM, contains all the files and datasets

On the reliability of large ensembles simulating stratospheric polar vortex

Lesson materials for Module 2 (M2), "Open Climate Science for Agriculture"

Scrapper developed for the DACD course. Obtain weather information ☔ directly from the AEMET database. Keep track of the climatic conditions ❄️ all around the country