An extension of xarray for climate data analysis on structured grids.
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Updated
Aug 15, 2024 - Python
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 from climate data.
This is an experimental project that seeks to integrate PySpark and xarray for Climate Data Analysis.
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-light plotting for earth science and aligned research
Code for the paper submitted to On the impact of Himalaya-induced gravity waves on the polar vortex, Rossby wave activity and ozone
Sea Surface Temp Visualization
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
repository for a class
Climate Data Analysis course at @IISERM, contains all the files and datasets
Lesson materials for Module 2 (M2), "Open Climate Science for Agriculture"
Interactive website around climate justice
Scrapper developed for the DACD course. Obtain weather information ☔ directly from the AEMET database. Keep track of the climatic conditions ❄️ all around the country
Access and analyze historical weather and climate data with Python.
My solution to the challenge Regional Climate Forecasting which won the 1st place on the private ranking.
A part of HyRiver software stack for accessing hydrology data through web services
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