These days world is facing a problem of energy crisis, over population, pollution, island heating effect and many others challenging environmental issues. Now its time to save our nature, save our home planet earth. Then how can we achieve this? The best approach is to aware the community, teach our children, by informing them about the environm…

A visualisation of observed changes in hot nights across Australia over the past 70 years.

CRUX: Climatic Research Unit tree-ring cross(X) dating

arduino based humidity controller with indoor and outdoor sensors for fan or flap control

List of articles to read when you feel like doing something.

Personal Weblog

https://twitter.com/hashtag/11dollar4climate

Data and codes for analyzing the relationships between climate parameters and COVID-19 transmission

A repo for "Extreme Precipitation-Temperature Scaling in California: The Role of Atmospheric Rivers"

R Code for Statistics and Data Visualizations in Climate Science with R and Python

Climate Diary is an open-source project focused on aggregating, simplifying, and dynamically visualizing global climate data, with plans for future expansion and technical enhancements.

Analysis of Hawaiian climate using SQLAlchemy, python, SQL, pandas. A web application has also been created using Flask-API to showcase the results.

This repository contains a folder for the code used in a research article. The code replicates the figures and tables, and provides calibration code implemented in CLIMADA using input data from ISIMIP and FAOSTAT. DOI: https://doi.org/10.5281/zenodo.4549246 (latest release)

R.Weather CDMS, es un sistema computacional que integra colecciones de datos y su representación espacial, facilitando el registro, manejo, análisis, distribución y utilización de datos hidroclimatológicos.

Projeto Clima possibilita saber a temperatura e o vento da cidade desejada!

Script where users identify certain types of clouds based on specific characteristics that are asked to the user to confirm or deny.

Code supporting "A novel multi-method framework for global real-time climate attribution" by Gilford et al. (2022, ASCMO)

Official Meteostat Insights Blog.