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 since most of the functions are yet to be tested. Kindly contact me for help if required.

Sea Surface Temp Visualization

Exploration and plotting GUI for netCDF and Met Office format data

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

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

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

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

Code for the paper submitted to Weather and Climate Dynamics

repository for a class

Interactive website around climate justice

An educational app exploring global climate justice — visualising which countries contribute most to climate change and which suffer the most from its effects.

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

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

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

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

On the reliability of large ensembles simulating stratospheric polar vortex

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.

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.

Command-line tool for climate data processing: Xarray with CDO like interface.

Rainfall prediction for Gujarat, India (2011–2024) using weather data from NASA POWER API and machine learning models.

My solution to the challenge Regional Climate Forecasting which won the 1st place on the private ranking.

Evaluates tropospheric temperature and zonal wind pressure profiles over a variety of projections, seasonal changes, altitudes, etc.